PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-25 (82)
 

Clipboard (0)
None

Select a Filter Below

Journals
more »
Authors
more »
Year of Publication
more »
2.  Dissecting the Roles of microRNAs in Coronary Heart Disease via Integrative Genomics Analyses 
Objective
The roles of microRNAs (miRNAs) in coronary heart disease (CHD) have not been well characterized. This study sought to systematically characterize the complex genomic architecture of CHD by integrating whole blood miRNA and mRNA expression with genetic variation in 186 CHD cases and 186 controls.
Approach and Results
At FDR<0.2, 15 miRNAs were differentially expressed between CHD cases and controls. To explore regulatory mechanisms, we integrated miRNA and mRNA expression with genotype data genome-wide to investigate miRNA and mRNA associations and relations of genetic variation to miRNAs. We identified a large number of correlated miRNA-mRNA pairs and genetic loci that appear to regulate miRNA levels. Subsequently, we explored the relations of these complex molecular associations to CHD status. We identified a large difference in miRNA-mRNA associations between CHD cases and controls, as demonstrated by a significantly higher proportion of inversely correlated miRNA-mRNA pairs in cases vs. controls (80% vs. 30%; p<1e-16), suggesting a genome-wide shift in the regulatory structure of the transcriptome in CHD. The differentially co-expressed miRNA-mRNA pairs showed enrichment for CHD risk genetic variants affecting both miRNA and mRNA expression levels, implicating a putatively causal role in CHD. Furthermore, three miRNAs (miR-1275, miR-365a-3p, and miR-150-5p) were associated with an mRNA co-expression module that was causally linked to CHD and reflected dysregulation of B-cell centered immune function.
Conclusions
Our results provide novel evidence that miRNAs are important regulators of biological processes involved in CHD via genetic control and via their tight co-expression with mRNAs.
doi:10.1161/ATVBAHA.114.305176
PMCID: PMC4376567  PMID: 25657313
microRNA expression; coronary heart disease; systems biology; genetics
3.  Genome-Wide Association Study of L-Arginine and Dimethylarginines Reveals Novel Metabolic Pathway for Symmetric Dimethylarginine 
Background
Dimethylarginines (DMA) interfere with nitric oxide (NO) formation by inhibiting NO synthase (asymmetric dimethylarginine, ADMA) and L-arginine uptake into the cell (ADMA and symmetric dimethylarginine, SDMA). In prospective clinical studies ADMA has been characterized as a cardiovascular risk marker whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterise the environmental and genetic contributions to inter-individual variability of these biomarkers.
Methods and Results
This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (FHS (n=2992), GHS (n=4354) and MONICA/KORA F3 (n=581)) and identified replicated loci (DDAH1, MED23, Arg1 and AGXT2) associated with the inter-individual variability in ADMA, L-arginine and SDMA. Experimental in-silico and in-vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants and various cardiometabolic risk factors. AGXT2 variants were not associated with post-stroke survival in the Leeds study, nor were they associated with incident stroke in the CHARGE consortium.
Conclusion
These GWAS support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and L-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.
doi:10.1161/CIRCGENETICS.113.000264
PMCID: PMC4797637  PMID: 25245031
biomarker; endothelial function; nitric oxide; Genome Wide Association Study
4.  Identifying genetic risk variants for coronary heart disease in familial hypercholesterolemia: an extreme genetics approach 
Mutations in the low-density lipoprotein receptor (LDLR) gene cause familial hypercholesterolemia (FH), a disorder characterized by coronary heart disease (CHD) at young age. We aimed to apply an extreme sampling method to enhance the statistical power to identify novel genetic risk variants for CHD in individuals with FH. We selected cases and controls with an extreme contrast in CHD risk from 17 000 FH patients from the Netherlands, whose functional LDLR mutation was unequivocally established. The genome-wide association (GWA) study was performed on 249 very young FH cases with CHD and 217 old FH controls without CHD (above 65 years for males and 70 years of age for females) using the Illumina HumanHap550K chip. In the next stage, two independent samples (one from the Netherlands and one from Italy, Norway, Spain, and the United Kingdom) of FH patients were used as replication samples. In the initial GWA analysis, we identified 29 independent single nucleotide polymorphisms (SNPs) with suggestive associations with premature CHD (P<1 × 10−4). We examined the association of these SNPs with CHD risk in the replication samples. After Bonferroni correction, none of the SNPs either replicated or reached genome-wide significance after combining the discovery and replication samples. Therefore, we conclude that the genetics of CHD risk in FH is complex and even applying an ‘extreme genetics' approach we did not identify new genetic risk variants. Most likely, this method is not as effective in leveraging effect size as anticipated, and may, therefore, not lead to significant gains in statistical power.
doi:10.1038/ejhg.2014.101
PMCID: PMC4326701  PMID: 24916650
5.  The impact of low-frequency and rare variants on lipid levels 
Surakka, Ida | Horikoshi, Momoko | Mägi, Reedik | Sarin, Antti-Pekka | Mahajan, Anubha | Lagou, Vasiliki | Marullo, Letizia | Ferreira, Teresa | Miraglio, Benjamin | Timonen, Sanna | Kettunen, Johannes | Pirinen, Matti | Karjalainen, Juha | Thorleifsson, Gudmar | Hägg, Sara | Hottenga, Jouke-Jan | Isaacs, Aaron | Ladenvall, Claes | Beekman, Marian | Esko, Tõnu | Ried, Janina S | Nelson, Christopher P | Willenborg, Christina | Gustafsson, Stefan | Westra, Harm-Jan | Blades, Matthew | de Craen, Anton JM | de Geus, Eco J | Deelen, Joris | Grallert, Harald | Hamsten, Anders | Havulinna, Aki S. | Hengstenberg, Christian | Houwing-Duistermaat, Jeanine J | Hyppönen, Elina | Karssen, Lennart C | Lehtimäki, Terho | Lyssenko, Valeriya | Magnusson, Patrik KE | Mihailov, Evelin | Müller-Nurasyid, Martina | Mpindi, John-Patrick | Pedersen, Nancy L | Penninx, Brenda WJH | Perola, Markus | Pers, Tune H | Peters, Annette | Rung, Johan | Smit, Johannes H | Steinthorsdottir, Valgerdur | Tobin, Martin D | Tsernikova, Natalia | van Leeuwen, Elisabeth M | Viikari, Jorma S | Willems, Sara M | Willemsen, Gonneke | Schunkert, Heribert | Erdmann, Jeanette | Samani, Nilesh J | Kaprio, Jaakko | Lind, Lars | Gieger, Christian | Metspalu, Andres | Slagboom, P Eline | Groop, Leif | van Duijn, Cornelia M | Eriksson, Johan G | Jula, Antti | Salomaa, Veikko | Boomsma, Dorret I | Power, Christine | Raitakari, Olli T | Ingelsson, Erik | Järvelin, Marjo-Riitta | Stefansson, Kari | Franke, Lude | Ikonen, Elina | Kallioniemi, Olli | Pietiäinen, Vilja | Lindgren, Cecilia M | Thorsteinsdottir, Unnur | Palotie, Aarno | McCarthy, Mark I | Morris, Andrew P | Prokopenko, Inga | Ripatti, Samuli
Nature genetics  2015;47(6):589-597.
Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes imputation in 62,166 samples, we identify association to lipids in 93 loci including 79 previously identified loci with new lead-SNPs, 10 new loci, 15 loci with a low-frequency and 10 loci with missense lead-SNPs, and, 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC, and APOE), or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2), explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for LDL-C and TC. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to re-sequencing.
doi:10.1038/ng.3300
PMCID: PMC4757735  PMID: 25961943
6.  Novel frame-shift mutation in PKP2 associated with arrhythmogenic right ventricular cardiomyopathy: a case report 
BMC Medical Genetics  2015;16:117.
Background
Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) is an inherited disease mainly found in young people causing malignant arrhythmias which can result in sudden cardiac death. Due to unspecific symptoms the diagnosis of ARVC is still challenging and requires clinical testing and expert knowledge. Genetic testing of index patients is helpful in the primary diagnosis and further testing of family members may allow for prevention of sudden cardiac death.
Case presentation
We report a case of newly diagnosed ARVC where genetic testing identified a novel familial frame-shift mutation in the PKP2 gene. Screening of the family members identified both children and the father as mutation carriers following an autosomal-dominant inheritance pattern.
Conclusion
Our findings emphasize the importance of genetic family screening after the identification of a causative mutation in an index case.
doi:10.1186/s12881-015-0263-1
PMCID: PMC4690428  PMID: 26701096
Arrhythmogenic right ventricular cardiomyopathy; PKP2; genetic testing
7.  Psoriasis and cardiometabolic traits: modest association but distinct genetic architectures 
Psoriasis has been linked to cardiometabolic diseases, but epidemiological findings are inconsistent. We investigated the association between psoriasis and cardiometabolic outcomes in a German cross-sectional study (n=4.185) and a prospective cohort of German Health Insurance beneficiaries (n=1.811.098). A potential genetic overlap was explored using genome-wide data from >22.000 coronary artery disease (CAD) and >4.000 psoriasis cases, and with a dense genotyping study of cardiometabolic risk loci on 927 psoriasis cases and 3.717 controls. Controlling for major confounders, in the cross-sectional analysis psoriasis was significantly associated with type 2 diabetes (T2D, adjusted odd’s ratio OR=2.36; 95% confidence interval CI=1.26–4.41) and myocardial infarction (MI, OR=2.26, 95% CI=1.03–4.96). In the longitudinal study, psoriasis slightly increased the risk for incident T2D (adjusted relative risk RR=1.11; 95%CI=1.08–1.14) and MI (RR=1.14; 95%CI=1.06–1.22), with highest risk increments in systemically treated psoriasis, which accounted for 11 and 17 excess cases of T2D and MI per 10,000 person-years. Except for weak signals from within the MHC, there was no evidence for genetic risk loci shared between psoriasis and cardiometabolic traits. Our findings suggest that psoriasis, in particular severe psoriasis, increases risk for T2D and MI, and that the genetic architecture of psoriasis and cardiometabolic traits is largely distinct.
doi:10.1038/jid.2015.8
PMCID: PMC4402117  PMID: 25599394
8.  Cigarette smoking reduces DNA methylation levels at multiple genomic loci but the effect is partially reversible upon cessation 
Epigenetics  2014;9(10):1382-1396.
Smoking is a major risk factor in many diseases. Genome wide association studies have linked genes for nicotine dependence and smoking behavior to increased risk of cardiovascular, pulmonary, and malignant diseases. We conducted an epigenome wide association study in peripheral-blood DNA in 464 individuals (22 current smokers and 263 ex-smokers), using the Human Methylation 450 K array. Upon replication in an independent sample of 356 twins (41 current and 104 ex-smokers), we identified 30 probes in 15 distinct loci, all of which reached genome-wide significance in the combined analysis P < 5 × 10−8. All but one probe (cg17024919) remained significant after adjusting for blood cell counts. We replicated all 9 known loci and found an independent signal at CPOX near GPR15. In addition, we found 6 new loci at PRSS23, AVPR1B, PSEN2, LINC00299, RPS6KA2, and KIAA0087. Most of the lead probes (13 out of 15) associated with cigarette smoking, overlapped regions of open chromatin (FAIRE and DNaseI hypersensitive sites) or / and H3K27Ac peaks (ENCODE data set), which mark regulatory elements. The effect of smoking on DNA methylation was partially reversible upon smoking cessation for longer than 3 months. We report the first statistically significant interaction between a SNP (rs2697768) and cigarette smoking on DNA methylation (cg03329539). We provide evidence that the metSNP for cg03329539 regulates expression of the CHRND gene located circa 95 Kb downstream of the methylation site. Our findings suggest the existence of dynamic, reversible site-specific methylation changes in response to cigarette smoking , which may contribute to the extended health risks associated with cigarette smoking.
doi:10.4161/15592294.2014.969637
PMCID: PMC4623553  PMID: 25424692
CHRND; CPOX; DNA methylation; epigenome-wide screen; gene network; metQTLs; rs2697768; smoking
11.  Multiple rare alleles at LDLR and APOA5 confer risk for early-onset myocardial infarction 
Do, Ron | Stitziel, Nathan O. | Won, Hong-Hee | Jørgensen, Anders Berg | Duga, Stefano | Merlini, Pier Angelica | Kiezun, Adam | Farrall, Martin | Goel, Anuj | Zuk, Or | Guella, Illaria | Asselta, Rosanna | Lange, Leslie A. | Peloso, Gina M. | Auer, Paul L. | Girelli, Domenico | Martinelli, Nicola | Farlow, Deborah N. | DePristo, Mark A. | Roberts, Robert | Stewart, Alexander F.R. | Saleheen, Danish | Danesh, John | Epstein, Stephen E. | Sivapalaratnam, Suthesh | Hovingh, G. Kees | Kastelein, John J. | Samani, Nilesh J. | Schunkert, Heribert | Erdmann, Jeanette | Shah, Svati H. | Kraus, William E. | Davies, Robert | Nikpay, Majid | Johansen, Christopher T. | Wang, Jian | Hegele, Robert A. | Hechter, Eliana | Marz, Winfried | Kleber, Marcus E. | Huang, Jie | Johnson, Andrew D. | Li, Mingyao | Burke, Greg L. | Gross, Myron | Liu, Yongmei | Assimes, Themistocles L. | Heiss, Gerardo | Lange, Ethan M. | Folsom, Aaron R. | Taylor, Herman A. | Olivieri, Oliviero | Hamsten, Anders | Clarke, Robert | Reilly, Dermot F. | Yin, Wu | Rivas, Manuel A. | Donnelly, Peter | Rossouw, Jacques E. | Psaty, Bruce M. | Herrington, David M. | Wilson, James G. | Rich, Stephen S. | Bamshad, Michael J. | Tracy, Russell P. | Cupples, L. Adrienne | Rader, Daniel J. | Reilly, Muredach P. | Spertus, John A. | Cresci, Sharon | Hartiala, Jaana | Tang, W.H. Wilson | Hazen, Stanley L. | Allayee, Hooman | Reiner, Alex P. | Carlson, Christopher S. | Kooperberg, Charles | Jackson, Rebecca D. | Boerwinkle, Eric | Lander, Eric S. | Schwartz, Stephen M. | Siscovick, David S. | McPherson, Ruth | Tybjaerg-Hansen, Anne | Abecasis, Goncalo R. | Watkins, Hugh | Nickerson, Deborah A. | Ardissino, Diego | Sunyaev, Shamil R. | O’Donnell, Christopher J. | Altshuler, David | Gabriel, Stacey | Kathiresan, Sekar
Nature  2014;518(7537):102-106.
Summary
Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance1,2. When MI occurs early in life, the role of inheritance is substantially greater1. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families3–8 whereas common variants at more than 45 loci have been associated with MI risk in the population9–15. Here, we evaluate the contribution of rare mutations to MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (≤50 years in males and ≤60 years in females) along with MI-free controls. We identified two genes where rare coding-sequence mutations were more frequent in cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare, damaging mutations (3.1% of cases versus 1.3% of controls) were at 2.4-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). This sequence-based estimate of the proportion of early MI cases due to LDLR mutations is remarkably similar to an estimate made more than 40 years ago using total cholesterol16. At apolipoprotein A-V (APOA5), carriers of rare nonsynonymous mutations (1.4% of cases versus 0.6% of controls) were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase15,17 and apolipoprotein C318,19. When combined, these observations suggest that, beyond LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.
doi:10.1038/nature13917
PMCID: PMC4319990  PMID: 25487149
12.  Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation 
Horikoshi, Momoko | Mӓgi, Reedik | van de Bunt, Martijn | Surakka, Ida | Sarin, Antti-Pekka | Mahajan, Anubha | Marullo, Letizia | Thorleifsson, Gudmar | Hӓgg, Sara | Hottenga, Jouke-Jan | Ladenvall, Claes | Ried, Janina S. | Winkler, Thomas W. | Willems, Sara M. | Pervjakova, Natalia | Esko, Tõnu | Beekman, Marian | Nelson, Christopher P. | Willenborg, Christina | Wiltshire, Steven | Ferreira, Teresa | Fernandez, Juan | Gaulton, Kyle J. | Steinthorsdottir, Valgerdur | Hamsten, Anders | Magnusson, Patrik K. E. | Willemsen, Gonneke | Milaneschi, Yuri | Robertson, Neil R. | Groves, Christopher J. | Bennett, Amanda J. | Lehtimӓki, Terho | Viikari, Jorma S. | Rung, Johan | Lyssenko, Valeriya | Perola, Markus | Heid, Iris M. | Herder, Christian | Grallert, Harald | Müller-Nurasyid, Martina | Roden, Michael | Hypponen, Elina | Isaacs, Aaron | van Leeuwen, Elisabeth M. | Karssen, Lennart C. | Mihailov, Evelin | Houwing-Duistermaat, Jeanine J. | de Craen, Anton J. M. | Deelen, Joris | Havulinna, Aki S. | Blades, Matthew | Hengstenberg, Christian | Erdmann, Jeanette | Schunkert, Heribert | Kaprio, Jaakko | Tobin, Martin D. | Samani, Nilesh J. | Lind, Lars | Salomaa, Veikko | Lindgren, Cecilia M. | Slagboom, P. Eline | Metspalu, Andres | van Duijn, Cornelia M. | Eriksson, Johan G. | Peters, Annette | Gieger, Christian | Jula, Antti | Groop, Leif | Raitakari, Olli T. | Power, Chris | Penninx, Brenda W. J. H. | de Geus, Eco | Smit, Johannes H. | Boomsma, Dorret I. | Pedersen, Nancy L. | Ingelsson, Erik | Thorsteinsdottir, Unnur | Stefansson, Kari | Ripatti, Samuli | Prokopenko, Inga | McCarthy, Mark I. | Morris, Andrew P.
PLoS Genetics  2015;11(7):e1005230.
Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency ≥0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
Author Summary
Human genetic studies have demonstrated that quantitative human anthropometric and metabolic traits, including body mass index, waist-hip ratio, and plasma concentrations of glucose and insulin, are highly heritable, and are established risk factors for type 2 diabetes and cardiovascular diseases. Although many regions of the genome have been associated with these traits, the specific genes responsible have not yet been identified. By making use of advanced statistical “imputation” techniques applied to more than 87,000 individuals of European ancestry, and publicly available “reference panels” of more than 37 million genetic variants, we have been able to identify novel regions of the genome associated with these glycaemic and obesity-related traits and localise genes within these regions that are most likely to be causal. This improved understanding of the biological mechanisms underlying glycaemic and obesity-related traits is extremely important because it may advance drug development for downstream disease endpoints, ultimately leading to public health benefits.
doi:10.1371/journal.pgen.1005230
PMCID: PMC4488845  PMID: 26132169
13.  Activation of Cell Surface Bound 20S Proteasome Inhibits Vascular Cell Growth and Arteriogenesis 
BioMed Research International  2015;2015:719316.
Arteriogenesis is an inflammatory process associated with rapid cellular changes involving vascular resident endothelial progenitor cells (VR-EPCs). Extracellular cell surface bound 20S proteasome has been implicated to play an important role in inflammatory processes. In our search for antigens initially regulated during collateral growth mAb CTA 157-2 was generated against membrane fractions of growing collateral vessels. CTA 157-2 stained endothelium of growing collateral vessels and the cell surface of VR-EPCs. CTA 157-2 bound a protein complex (760 kDa) that was identified as 26 kDa α7 and 21 kDa β3 subunit of 20S proteasome in mass spectrometry. Furthermore we demonstrated specific staining of 20S proteasome after immunoprecipitation of VR-EPC membrane extract with CTA 157-2 sepharose beads. Functionally, CTA 157-2 enhanced concentration dependently AMC (7-amino-4-methylcoumarin) cleavage from LLVY (N-Succinyl-Leu-Leu-Val-Tyr) by recombinant 20S proteasome as well as proteasomal activity in VR-EPC extracts. Proliferation of VR-EPCs (BrdU incorporation) was reduced by CTA 157-2. Infusion of the antibody into the collateral circulation reduced number of collateral arteries, collateral proliferation, and collateral conductance in vivo. In conclusion our results indicate that extracellular cell surface bound 20S proteasome influences VR-EPC function in vitro and collateral growth in vivo.
doi:10.1155/2015/719316
PMCID: PMC4471257  PMID: 26146628
14.  Defining the role of common variation in the genomic and biological architecture of adult human height 
Wood, Andrew R | Esko, Tonu | Yang, Jian | Vedantam, Sailaja | Pers, Tune H | Gustafsson, Stefan | Chu, Audrey Y | Estrada, Karol | Luan, Jian’an | Kutalik, Zoltán | Amin, Najaf | Buchkovich, Martin L | Croteau-Chonka, Damien C | Day, Felix R | Duan, Yanan | Fall, Tove | Fehrmann, Rudolf | Ferreira, Teresa | Jackson, Anne U | Karjalainen, Juha | Lo, Ken Sin | Locke, Adam E | Mägi, Reedik | Mihailov, Evelin | Porcu, Eleonora | Randall, Joshua C | Scherag, André | Vinkhuyzen, Anna AE | Westra, Harm-Jan | Winkler, Thomas W | Workalemahu, Tsegaselassie | Zhao, Jing Hua | Absher, Devin | Albrecht, Eva | Anderson, Denise | Baron, Jeffrey | Beekman, Marian | Demirkan, Ayse | Ehret, Georg B | Feenstra, Bjarke | Feitosa, Mary F | Fischer, Krista | Fraser, Ross M | Goel, Anuj | Gong, Jian | Justice, Anne E | Kanoni, Stavroula | Kleber, Marcus E | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Lui, Julian C | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Nalls, Michael A | Nyholt, Dale R | Palmer, Cameron D | Pasko, Dorota | Pechlivanis, Sonali | Prokopenko, Inga | Ried, Janina S | Ripke, Stephan | Shungin, Dmitry | Stancáková, Alena | Strawbridge, Rona J | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Afzal, Uzma | Ärnlöv, Johan | Arscott, Gillian M | Bandinelli, Stefania | Barrett, Amy | Bellis, Claire | Bennett, Amanda J | Berne, Christian | Blüher, Matthias | Bolton, Jennifer L | Böttcher, Yvonne | Boyd, Heather A | Bruinenberg, Marcel | Buckley, Brendan M | Buyske, Steven | Caspersen, Ida H | Chines, Peter S | Clarke, Robert | Claudi-Boehm, Simone | Cooper, Matthew | Daw, E Warwick | De Jong, Pim A | Deelen, Joris | Delgado, Graciela | Denny, Josh C | Dhonukshe-Rutten, Rosalie | Dimitriou, Maria | Doney, Alex SF | Dörr, Marcus | Eklund, Niina | Eury, Elodie | Folkersen, Lasse | Garcia, Melissa E | Geller, Frank | Giedraitis, Vilmantas | Go, Alan S | Grallert, Harald | Grammer, Tanja B | Gräßler, Jürgen | Grönberg, Henrik | de Groot, Lisette C.P.G.M. | Groves, Christopher J | Haessler, Jeffrey | Hall, Per | Haller, Toomas | Hallmans, Goran | Hannemann, Anke | Hartman, Catharina A | Hassinen, Maija | Hayward, Caroline | Heard-Costa, Nancy L | Helmer, Quinta | Hemani, Gibran | Henders, Anjali K | Hillege, Hans L | Hlatky, Mark A | Hoffmann, Wolfgang | Hoffmann, Per | Holmen, Oddgeir | Houwing-Duistermaat, Jeanine J | Illig, Thomas | Isaacs, Aaron | James, Alan L | Jeff, Janina | Johansen, Berit | Johansson, Åsa | Jolley, Jennifer | Juliusdottir, Thorhildur | Junttila, Juhani | Kho, Abel N | Kinnunen, Leena | Klopp, Norman | Kocher, Thomas | Kratzer, Wolfgang | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lobbens, Stéphane | Lorentzon, Mattias | Lu, Yingchang | Lyssenko, Valeriya | Magnusson, Patrik KE | Mahajan, Anubha | Maillard, Marc | McArdle, Wendy L | McKenzie, Colin A | McLachlan, Stela | McLaren, Paul J | Menni, Cristina | Merger, Sigrun | Milani, Lili | Moayyeri, Alireza | Monda, Keri L | Morken, Mario A | Müller, Gabriele | Müller-Nurasyid, Martina | Musk, Arthur W | Narisu, Narisu | Nauck, Matthias | Nolte, Ilja M | Nöthen, Markus M | Oozageer, Laticia | Pilz, Stefan | Rayner, Nigel W | Renstrom, Frida | Robertson, Neil R | Rose, Lynda M | Roussel, Ronan | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Schumacher, Fredrick R | Schunkert, Heribert | Scott, Robert A | Sehmi, Joban | Seufferlein, Thomas | Shi, Jianxin | Silventoinen, Karri | Smit, Johannes H | Smith, Albert Vernon | Smolonska, Joanna | Stanton, Alice V | Stirrups, Kathleen | Stott, David J | Stringham, Heather M | Sundström, Johan | Swertz, Morris A | Syvänen, Ann-Christine | Tayo, Bamidele O | Thorleifsson, Gudmar | Tyrer, Jonathan P | van Dijk, Suzanne | van Schoor, Natasja M | van der Velde, Nathalie | van Heemst, Diana | van Oort, Floor VA | Vermeulen, Sita H | Verweij, Niek | Vonk, Judith M | Waite, Lindsay L | Waldenberger, Melanie | Wennauer, Roman | Wilkens, Lynne R | Willenborg, Christina | Wilsgaard, Tom | Wojczynski, Mary K | Wong, Andrew | Wright, Alan F | Zhang, Qunyuan | Arveiler, Dominique | Bakker, Stephan JL | Beilby, John | Bergman, Richard N | Bergmann, Sven | Biffar, Reiner | Blangero, John | Boomsma, Dorret I | Bornstein, Stefan R | Bovet, Pascal | Brambilla, Paolo | Brown, Morris J | Campbell, Harry | Caulfield, Mark J | Chakravarti, Aravinda | Collins, Rory | Collins, Francis S | Crawford, Dana C | Cupples, L Adrienne | Danesh, John | de Faire, Ulf | den Ruijter, Hester M | Erbel, Raimund | Erdmann, Jeanette | Eriksson, Johan G | Farrall, Martin | Ferrannini, Ele | Ferrières, Jean | Ford, Ian | Forouhi, Nita G | Forrester, Terrence | Gansevoort, Ron T | Gejman, Pablo V | Gieger, Christian | Golay, Alain | Gottesman, Omri | Gudnason, Vilmundur | Gyllensten, Ulf | Haas, David W | Hall, Alistair S | Harris, Tamara B | Hattersley, Andrew T | Heath, Andrew C | Hengstenberg, Christian | Hicks, Andrew A | Hindorff, Lucia A | Hingorani, Aroon D | Hofman, Albert | Hovingh, G Kees | Humphries, Steve E | Hunt, Steven C | Hypponen, Elina | Jacobs, Kevin B | Jarvelin, Marjo-Riitta | Jousilahti, Pekka | Jula, Antti M | Kaprio, Jaakko | Kastelein, John JP | Kayser, Manfred | Kee, Frank | Keinanen-Kiukaanniemi, Sirkka M | Kiemeney, Lambertus A | Kooner, Jaspal S | Kooperberg, Charles | Koskinen, Seppo | Kovacs, Peter | Kraja, Aldi T | Kumari, Meena | Kuusisto, Johanna | Lakka, Timo A | Langenberg, Claudia | Le Marchand, Loic | Lehtimäki, Terho | Lupoli, Sara | Madden, Pamela AF | Männistö, Satu | Manunta, Paolo | Marette, André | Matise, Tara C | McKnight, Barbara | Meitinger, Thomas | Moll, Frans L | Montgomery, Grant W | Morris, Andrew D | Morris, Andrew P | Murray, Jeffrey C | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J | Ong, Ken K | Ouwehand, Willem H | Pasterkamp, Gerard | Peters, Annette | Pramstaller, Peter P | Price, Jackie F | Qi, Lu | Raitakari, Olli T | Rankinen, Tuomo | Rao, DC | Rice, Treva K | Ritchie, Marylyn | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J | Saramies, Jouko | Sarzynski, Mark A | Schwarz, Peter EH | Sebert, Sylvain | Sever, Peter | Shuldiner, Alan R | Sinisalo, Juha | Steinthorsdottir, Valgerdur | Stolk, Ronald P | Tardif, Jean-Claude | Tönjes, Anke | Tremblay, Angelo | Tremoli, Elena | Virtamo, Jarmo | Vohl, Marie-Claude | Amouyel, Philippe | Asselbergs, Folkert W | Assimes, Themistocles L | Bochud, Murielle | Boehm, Bernhard O | Boerwinkle, Eric | Bottinger, Erwin P | Bouchard, Claude | Cauchi, Stéphane | Chambers, John C | Chanock, Stephen J | Cooper, Richard S | de Bakker, Paul IW | Dedoussis, George | Ferrucci, Luigi | Franks, Paul W | Froguel, Philippe | Groop, Leif C | Haiman, Christopher A | Hamsten, Anders | Hayes, M Geoffrey | Hui, Jennie | Hunter, David J. | Hveem, Kristian | Jukema, J Wouter | Kaplan, Robert C | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | Martin, Nicholas G | März, Winfried | Melbye, Mads | Moebus, Susanne | Munroe, Patricia B | Njølstad, Inger | Oostra, Ben A | Palmer, Colin NA | Pedersen, Nancy L | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Powell, Joseph E | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Reinmaa, Eva | Ridker, Paul M | Rivadeneira, Fernando | Rotter, Jerome I | Saaristo, Timo E | Saleheen, Danish | Schlessinger, David | Slagboom, P Eline | Snieder, Harold | Spector, Tim D | Strauch, Konstantin | Stumvoll, Michael | Tuomilehto, Jaakko | Uusitupa, Matti | van der Harst, Pim | Völzke, Henry | Walker, Mark | Wareham, Nicholas J | Watkins, Hugh | Wichmann, H-Erich | Wilson, James F | Zanen, Pieter | Deloukas, Panos | Heid, Iris M | Lindgren, Cecilia M | Mohlke, Karen L | Speliotes, Elizabeth K | Thorsteinsdottir, Unnur | Barroso, Inês | Fox, Caroline S | North, Kari E | Strachan, David P | Beckmann, Jacques S. | Berndt, Sonja I | Boehnke, Michael | Borecki, Ingrid B | McCarthy, Mark I | Metspalu, Andres | Stefansson, Kari | Uitterlinden, André G | van Duijn, Cornelia M | Franke, Lude | Willer, Cristen J | Price, Alkes L. | Lettre, Guillaume | Loos, Ruth JF | Weedon, Michael N | Ingelsson, Erik | O’Connell, Jeffrey R | Abecasis, Goncalo R | Chasman, Daniel I | Goddard, Michael E | Visscher, Peter M | Hirschhorn, Joel N | Frayling, Timothy M
Nature genetics  2014;46(11):1173-1186.
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explain one-fifth of heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ~2,000, ~3,700 and ~9,500 SNPs explained ~21%, ~24% and ~29% of phenotypic variance. Furthermore, all common variants together captured the majority (60%) of heritability. The 697 variants clustered in 423 loci enriched for genes, pathways, and tissue-types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin, and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
doi:10.1038/ng.3097
PMCID: PMC4250049  PMID: 25282103
15.  Defining the role of common variation in the genomic and biological architecture of adult human height 
Wood, Andrew R | Esko, Tonu | Yang, Jian | Vedantam, Sailaja | Pers, Tune H | Gustafsson, Stefan | Chu, Audrey Y | Estrada, Karol | Luan, Jian’an | Kutalik, Zoltán | Amin, Najaf | Buchkovich, Martin L | Croteau-Chonka, Damien C | Day, Felix R | Duan, Yanan | Fall, Tove | Fehrmann, Rudolf | Ferreira, Teresa | Jackson, Anne U | Karjalainen, Juha | Lo, Ken Sin | Locke, Adam E | Mägi, Reedik | Mihailov, Evelin | Porcu, Eleonora | Randall, Joshua C | Scherag, André | Vinkhuyzen, Anna AE | Westra, Harm-Jan | Winkler, Thomas W | Workalemahu, Tsegaselassie | Zhao, Jing Hua | Absher, Devin | Albrecht, Eva | Anderson, Denise | Baron, Jeffrey | Beekman, Marian | Demirkan, Ayse | Ehret, Georg B | Feenstra, Bjarke | Feitosa, Mary F | Fischer, Krista | Fraser, Ross M | Goel, Anuj | Gong, Jian | Justice, Anne E | Kanoni, Stavroula | Kleber, Marcus E | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Lui, Julian C | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Nalls, Michael A | Nyholt, Dale R | Palmer, Cameron D | Pasko, Dorota | Pechlivanis, Sonali | Prokopenko, Inga | Ried, Janina S | Ripke, Stephan | Shungin, Dmitry | Stancáková, Alena | Strawbridge, Rona J | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Afzal, Uzma | Ärnlöv, Johan | Arscott, Gillian M | Bandinelli, Stefania | Barrett, Amy | Bellis, Claire | Bennett, Amanda J | Berne, Christian | Blüher, Matthias | Bolton, Jennifer L | Böttcher, Yvonne | Boyd, Heather A | Bruinenberg, Marcel | Buckley, Brendan M | Buyske, Steven | Caspersen, Ida H | Chines, Peter S | Clarke, Robert | Claudi-Boehm, Simone | Cooper, Matthew | Daw, E Warwick | De Jong, Pim A | Deelen, Joris | Delgado, Graciela | Denny, Josh C | Dhonukshe-Rutten, Rosalie | Dimitriou, Maria | Doney, Alex SF | Dörr, Marcus | Eklund, Niina | Eury, Elodie | Folkersen, Lasse | Garcia, Melissa E | Geller, Frank | Giedraitis, Vilmantas | Go, Alan S | Grallert, Harald | Grammer, Tanja B | Gräßler, Jürgen | Grönberg, Henrik | de Groot, Lisette C.P.G.M. | Groves, Christopher J | Haessler, Jeffrey | Hall, Per | Haller, Toomas | Hallmans, Goran | Hannemann, Anke | Hartman, Catharina A | Hassinen, Maija | Hayward, Caroline | Heard-Costa, Nancy L | Helmer, Quinta | Hemani, Gibran | Henders, Anjali K | Hillege, Hans L | Hlatky, Mark A | Hoffmann, Wolfgang | Hoffmann, Per | Holmen, Oddgeir | Houwing-Duistermaat, Jeanine J | Illig, Thomas | Isaacs, Aaron | James, Alan L | Jeff, Janina | Johansen, Berit | Johansson, Åsa | Jolley, Jennifer | Juliusdottir, Thorhildur | Junttila, Juhani | Kho, Abel N | Kinnunen, Leena | Klopp, Norman | Kocher, Thomas | Kratzer, Wolfgang | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lobbens, Stéphane | Lorentzon, Mattias | Lu, Yingchang | Lyssenko, Valeriya | Magnusson, Patrik KE | Mahajan, Anubha | Maillard, Marc | McArdle, Wendy L | McKenzie, Colin A | McLachlan, Stela | McLaren, Paul J | Menni, Cristina | Merger, Sigrun | Milani, Lili | Moayyeri, Alireza | Monda, Keri L | Morken, Mario A | Müller, Gabriele | Müller-Nurasyid, Martina | Musk, Arthur W | Narisu, Narisu | Nauck, Matthias | Nolte, Ilja M | Nöthen, Markus M | Oozageer, Laticia | Pilz, Stefan | Rayner, Nigel W | Renstrom, Frida | Robertson, Neil R | Rose, Lynda M | Roussel, Ronan | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Schumacher, Fredrick R | Schunkert, Heribert | Scott, Robert A | Sehmi, Joban | Seufferlein, Thomas | Shi, Jianxin | Silventoinen, Karri | Smit, Johannes H | Smith, Albert Vernon | Smolonska, Joanna | Stanton, Alice V | Stirrups, Kathleen | Stott, David J | Stringham, Heather M | Sundström, Johan | Swertz, Morris A | Syvänen, Ann-Christine | Tayo, Bamidele O | Thorleifsson, Gudmar | Tyrer, Jonathan P | van Dijk, Suzanne | van Schoor, Natasja M | van der Velde, Nathalie | van Heemst, Diana | van Oort, Floor VA | Vermeulen, Sita H | Verweij, Niek | Vonk, Judith M | Waite, Lindsay L | Waldenberger, Melanie | Wennauer, Roman | Wilkens, Lynne R | Willenborg, Christina | Wilsgaard, Tom | Wojczynski, Mary K | Wong, Andrew | Wright, Alan F | Zhang, Qunyuan | Arveiler, Dominique | Bakker, Stephan JL | Beilby, John | Bergman, Richard N | Bergmann, Sven | Biffar, Reiner | Blangero, John | Boomsma, Dorret I | Bornstein, Stefan R | Bovet, Pascal | Brambilla, Paolo | Brown, Morris J | Campbell, Harry | Caulfield, Mark J | Chakravarti, Aravinda | Collins, Rory | Collins, Francis S | Crawford, Dana C | Cupples, L Adrienne | Danesh, John | de Faire, Ulf | den Ruijter, Hester M | Erbel, Raimund | Erdmann, Jeanette | Eriksson, Johan G | Farrall, Martin | Ferrannini, Ele | Ferrières, Jean | Ford, Ian | Forouhi, Nita G | Forrester, Terrence | Gansevoort, Ron T | Gejman, Pablo V | Gieger, Christian | Golay, Alain | Gottesman, Omri | Gudnason, Vilmundur | Gyllensten, Ulf | Haas, David W | Hall, Alistair S | Harris, Tamara B | Hattersley, Andrew T | Heath, Andrew C | Hengstenberg, Christian | Hicks, Andrew A | Hindorff, Lucia A | Hingorani, Aroon D | Hofman, Albert | Hovingh, G Kees | Humphries, Steve E | Hunt, Steven C | Hypponen, Elina | Jacobs, Kevin B | Jarvelin, Marjo-Riitta | Jousilahti, Pekka | Jula, Antti M | Kaprio, Jaakko | Kastelein, John JP | Kayser, Manfred | Kee, Frank | Keinanen-Kiukaanniemi, Sirkka M | Kiemeney, Lambertus A | Kooner, Jaspal S | Kooperberg, Charles | Koskinen, Seppo | Kovacs, Peter | Kraja, Aldi T | Kumari, Meena | Kuusisto, Johanna | Lakka, Timo A | Langenberg, Claudia | Le Marchand, Loic | Lehtimäki, Terho | Lupoli, Sara | Madden, Pamela AF | Männistö, Satu | Manunta, Paolo | Marette, André | Matise, Tara C | McKnight, Barbara | Meitinger, Thomas | Moll, Frans L | Montgomery, Grant W | Morris, Andrew D | Morris, Andrew P | Murray, Jeffrey C | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J | Ong, Ken K | Ouwehand, Willem H | Pasterkamp, Gerard | Peters, Annette | Pramstaller, Peter P | Price, Jackie F | Qi, Lu | Raitakari, Olli T | Rankinen, Tuomo | Rao, DC | Rice, Treva K | Ritchie, Marylyn | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J | Saramies, Jouko | Sarzynski, Mark A | Schwarz, Peter EH | Sebert, Sylvain | Sever, Peter | Shuldiner, Alan R | Sinisalo, Juha | Steinthorsdottir, Valgerdur | Stolk, Ronald P | Tardif, Jean-Claude | Tönjes, Anke | Tremblay, Angelo | Tremoli, Elena | Virtamo, Jarmo | Vohl, Marie-Claude | Amouyel, Philippe | Asselbergs, Folkert W | Assimes, Themistocles L | Bochud, Murielle | Boehm, Bernhard O | Boerwinkle, Eric | Bottinger, Erwin P | Bouchard, Claude | Cauchi, Stéphane | Chambers, John C | Chanock, Stephen J | Cooper, Richard S | de Bakker, Paul IW | Dedoussis, George | Ferrucci, Luigi | Franks, Paul W | Froguel, Philippe | Groop, Leif C | Haiman, Christopher A | Hamsten, Anders | Hayes, M Geoffrey | Hui, Jennie | Hunter, David J. | Hveem, Kristian | Jukema, J Wouter | Kaplan, Robert C | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | Martin, Nicholas G | März, Winfried | Melbye, Mads | Moebus, Susanne | Munroe, Patricia B | Njølstad, Inger | Oostra, Ben A | Palmer, Colin NA | Pedersen, Nancy L | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Powell, Joseph E | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Reinmaa, Eva | Ridker, Paul M | Rivadeneira, Fernando | Rotter, Jerome I | Saaristo, Timo E | Saleheen, Danish | Schlessinger, David | Slagboom, P Eline | Snieder, Harold | Spector, Tim D | Strauch, Konstantin | Stumvoll, Michael | Tuomilehto, Jaakko | Uusitupa, Matti | van der Harst, Pim | Völzke, Henry | Walker, Mark | Wareham, Nicholas J | Watkins, Hugh | Wichmann, H-Erich | Wilson, James F | Zanen, Pieter | Deloukas, Panos | Heid, Iris M | Lindgren, Cecilia M | Mohlke, Karen L | Speliotes, Elizabeth K | Thorsteinsdottir, Unnur | Barroso, Inês | Fox, Caroline S | North, Kari E | Strachan, David P | Beckmann, Jacques S. | Berndt, Sonja I | Boehnke, Michael | Borecki, Ingrid B | McCarthy, Mark I | Metspalu, Andres | Stefansson, Kari | Uitterlinden, André G | van Duijn, Cornelia M | Franke, Lude | Willer, Cristen J | Price, Alkes L. | Lettre, Guillaume | Loos, Ruth JF | Weedon, Michael N | Ingelsson, Erik | O’Connell, Jeffrey R | Abecasis, Goncalo R | Chasman, Daniel I | Goddard, Michael E | Visscher, Peter M | Hirschhorn, Joel N | Frayling, Timothy M
Nature genetics  2014;46(11):1173-1186.
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explain one-fifth of heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ~2,000, ~3,700 and ~9,500 SNPs explained ~21%, ~24% and ~29% of phenotypic variance. Furthermore, all common variants together captured the majority (60%) of heritability. The 697 variants clustered in 423 loci enriched for genes, pathways, and tissue-types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin, and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
doi:10.1038/ng.3097
PMCID: PMC4250049  PMID: 25282103
16.  Genetic studies of body mass index yield new insights for obesity biology 
Locke, Adam E. | Kahali, Bratati | Berndt, Sonja I. | Justice, Anne E. | Pers, Tune H. | Day, Felix R. | Powell, Corey | Vedantam, Sailaja | Buchkovich, Martin L. | Yang, Jian | Croteau-Chonka, Damien C. | Esko, Tonu | Fall, Tove | Ferreira, Teresa | Gustafsson, Stefan | Kutalik, Zoltán | Luan, Jian’an | Mägi, Reedik | Randall, Joshua C. | Winkler, Thomas W. | Wood, Andrew R. | Workalemahu, Tsegaselassie | Faul, Jessica D. | Smith, Jennifer A. | Zhao, Jing Hua | Zhao, Wei | Chen, Jin | Fehrmann, Rudolf | Hedman, Åsa K. | Karjalainen, Juha | Schmidt, Ellen M. | Absher, Devin | Amin, Najaf | Anderson, Denise | Beekman, Marian | Bolton, Jennifer L. | Bragg-Gresham, Jennifer L. | Buyske, Steven | Demirkan, Ayse | Deng, Guohong | Ehret, Georg B. | Feenstra, Bjarke | Feitosa, Mary F. | Fischer, Krista | Goel, Anuj | Gong, Jian | Jackson, Anne U. | Kanoni, Stavroula | Kleber, Marcus E. | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Medland, Sarah E. | Nalls, Michael A. | Palmer, Cameron D. | Pasko, Dorota | Pechlivanis, Sonali | Peters, Marjolein J. | Prokopenko, Inga | Shungin, Dmitry | Stančáková, Alena | Strawbridge, Rona J. | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W. | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V. | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Isaacs, Aaron | Albrecht, Eva | Ärnlöv, Johan | Arscott, Gillian M. | Attwood, Antony P. | Bandinelli, Stefania | Barrett, Amy | Bas, Isabelita N. | Bellis, Claire | Bennett, Amanda J. | Berne, Christian | Blagieva, Roza | Blüher, Matthias | Böhringer, Stefan | Bonnycastle, Lori L. | Böttcher, Yvonne | Boyd, Heather A. | Bruinenberg, Marcel | Caspersen, Ida H. | Chen, Yii-Der Ida | Clarke, Robert | Daw, E. Warwick | de Craen, Anton J. M. | Delgado, Graciela | Dimitriou, Maria | Doney, Alex S. F. | Eklund, Niina | Estrada, Karol | Eury, Elodie | Folkersen, Lasse | Fraser, Ross M. | Garcia, Melissa E. | Geller, Frank | Giedraitis, Vilmantas | Gigante, Bruna | Go, Alan S. | Golay, Alain | Goodall, Alison H. | Gordon, Scott D. | Gorski, Mathias | Grabe, Hans-Jörgen | Grallert, Harald | Grammer, Tanja B. | Gräßler, Jürgen | Grönberg, Henrik | Groves, Christopher J. | Gusto, Gaëlle | Haessler, Jeffrey | Hall, Per | Haller, Toomas | Hallmans, Goran | Hartman, Catharina A. | Hassinen, Maija | Hayward, Caroline | Heard-Costa, Nancy L. | Helmer, Quinta | Hengstenberg, Christian | Holmen, Oddgeir | Hottenga, Jouke-Jan | James, Alan L. | Jeff, Janina M. | Johansson, Åsa | Jolley, Jennifer | Juliusdottir, Thorhildur | Kinnunen, Leena | Koenig, Wolfgang | Koskenvuo, Markku | Kratzer, Wolfgang | Laitinen, Jaana | Lamina, Claudia | Leander, Karin | Lee, Nanette R. | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lo, Ken Sin | Lobbens, Stéphane | Lorbeer, Roberto | Lu, Yingchang | Mach, François | Magnusson, Patrik K. E. | Mahajan, Anubha | McArdle, Wendy L. | McLachlan, Stela | Menni, Cristina | Merger, Sigrun | Mihailov, Evelin | Milani, Lili | Moayyeri, Alireza | Monda, Keri L. | Morken, Mario A. | Mulas, Antonella | Müller, Gabriele | Müller-Nurasyid, Martina | Musk, Arthur W. | Nagaraja, Ramaiah | Nöthen, Markus M. | Nolte, Ilja M. | Pilz, Stefan | Rayner, Nigel W. | Renstrom, Frida | Rettig, Rainer | Ried, Janina S. | Ripke, Stephan | Robertson, Neil R. | Rose, Lynda M. | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Schumacher, Fredrick R. | Scott, William R. | Seufferlein, Thomas | Shi, Jianxin | Smith, Albert Vernon | Smolonska, Joanna | Stanton, Alice V. | Steinthorsdottir, Valgerdur | Stirrups, Kathleen | Stringham, Heather M. | Sundström, Johan | Swertz, Morris A. | Swift, Amy J. | Syvänen, Ann-Christine | Tan, Sian-Tsung | Tayo, Bamidele O. | Thorand, Barbara | Thorleifsson, Gudmar | Tyrer, Jonathan P. | Uh, Hae-Won | Vandenput, Liesbeth | Verhulst, Frank C. | Vermeulen, Sita H. | Verweij, Niek | Vonk, Judith M. | Waite, Lindsay L. | Warren, Helen R. | Waterworth, Dawn | Weedon, Michael N. | Wilkens, Lynne R. | Willenborg, Christina | Wilsgaard, Tom | Wojczynski, Mary K. | Wong, Andrew | Wright, Alan F. | Zhang, Qunyuan | Brennan, Eoin P. | Choi, Murim | Dastani, Zari | Drong, Alexander W. | Eriksson, Per | Franco-Cereceda, Anders | Gådin, Jesper R. | Gharavi, Ali G. | Goddard, Michael E. | Handsaker, Robert E. | Huang, Jinyan | Karpe, Fredrik | Kathiresan, Sekar | Keildson, Sarah | Kiryluk, Krzysztof | Kubo, Michiaki | Lee, Jong-Young | Liang, Liming | Lifton, Richard P. | Ma, Baoshan | McCarroll, Steven A. | McKnight, Amy J. | Min, Josine L. | Moffatt, Miriam F. | Montgomery, Grant W. | Murabito, Joanne M. | Nicholson, George | Nyholt, Dale R. | Okada, Yukinori | Perry, John R. B. | Dorajoo, Rajkumar | Reinmaa, Eva | Salem, Rany M. | Sandholm, Niina | Scott, Robert A. | Stolk, Lisette | Takahashi, Atsushi | Tanaka, Toshihiro | van ’t Hooft, Ferdinand M. | Vinkhuyzen, Anna A. E. | Westra, Harm-Jan | Zheng, Wei | Zondervan, Krina T. | Heath, Andrew C. | Arveiler, Dominique | Bakker, Stephan J. L. | Beilby, John | Bergman, Richard N. | Blangero, John | Bovet, Pascal | Campbell, Harry | Caulfield, Mark J. | Cesana, Giancarlo | Chakravarti, Aravinda | Chasman, Daniel I. | Chines, Peter S. | Collins, Francis S. | Crawford, Dana C. | Cupples, L. Adrienne | Cusi, Daniele | Danesh, John | de Faire, Ulf | den Ruijter, Hester M. | Dominiczak, Anna F. | Erbel, Raimund | Erdmann, Jeanette | Eriksson, Johan G. | Farrall, Martin | Felix, Stephan B. | Ferrannini, Ele | Ferrières, Jean | Ford, Ian | Forouhi, Nita G. | Forrester, Terrence | Franco, Oscar H. | Gansevoort, Ron T. | Gejman, Pablo V. | Gieger, Christian | Gottesman, Omri | Gudnason, Vilmundur | Gyllensten, Ulf | Hall, Alistair S. | Harris, Tamara B. | Hattersley, Andrew T. | Hicks, Andrew A. | Hindorff, Lucia A. | Hingorani, Aroon D. | Hofman, Albert | Homuth, Georg | Hovingh, G. Kees | Humphries, Steve E. | Hunt, Steven C. | Hyppönen, Elina | Illig, Thomas | Jacobs, Kevin B. | Jarvelin, Marjo-Riitta | Jöckel, Karl-Heinz | Johansen, Berit | Jousilahti, Pekka | Jukema, J. Wouter | Jula, Antti M. | Kaprio, Jaakko | Kastelein, John J. P. | Keinanen-Kiukaanniemi, Sirkka M. | Kiemeney, Lambertus A. | Knekt, Paul | Kooner, Jaspal S. | Kooperberg, Charles | Kovacs, Peter | Kraja, Aldi T. | Kumari, Meena | Kuusisto, Johanna | Lakka, Timo A. | Langenberg, Claudia | Marchand, Loic Le | Lehtimäki, Terho | Lyssenko, Valeriya | Männistö, Satu | Marette, André | Matise, Tara C. | McKenzie, Colin A. | McKnight, Barbara | Moll, Frans L. | Morris, Andrew D. | Morris, Andrew P. | Murray, Jeffrey C. | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J. | Ong, Ken K. | Madden, Pamela A. F. | Pasterkamp, Gerard | Peden, John F. | Peters, Annette | Postma, Dirkje S. | Pramstaller, Peter P. | Price, Jackie F. | Qi, Lu | Raitakari, Olli T. | Rankinen, Tuomo | Rao, D. C. | Rice, Treva K. | Ridker, Paul M. | Rioux, John D. | Ritchie, Marylyn D. | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J. | Saramies, Jouko | Sarzynski, Mark A. | Schunkert, Heribert | Schwarz, Peter E. H. | Sever, Peter | Shuldiner, Alan R. | Sinisalo, Juha | Stolk, Ronald P. | Strauch, Konstantin | Tönjes, Anke | Trégouët, David-Alexandre | Tremblay, Angelo | Tremoli, Elena | Virtamo, Jarmo | Vohl, Marie-Claude | Völker, Uwe | Waeber, Gérard | Willemsen, Gonneke | Witteman, Jacqueline C. | Zillikens, M. Carola | Adair, Linda S. | Amouyel, Philippe | Asselbergs, Folkert W. | Assimes, Themistocles L. | Bochud, Murielle | Boehm, Bernhard O. | Boerwinkle, Eric | Bornstein, Stefan R. | Bottinger, Erwin P. | Bouchard, Claude | Cauchi, Stéphane | Chambers, John C. | Chanock, Stephen J. | Cooper, Richard S. | de Bakker, Paul I. W. | Dedoussis, George | Ferrucci, Luigi | Franks, Paul W. | Froguel, Philippe | Groop, Leif C. | Haiman, Christopher A. | Hamsten, Anders | Hui, Jennie | Hunter, David J. | Hveem, Kristian | Kaplan, Robert C. | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | Martin, Nicholas G. | März, Winfried | Melbye, Mads | Metspalu, Andres | Moebus, Susanne | Munroe, Patricia B. | Njølstad, Inger | Oostra, Ben A. | Palmer, Colin N. A. | Pedersen, Nancy L. | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Rivadeneira, Fernando | Saaristo, Timo E. | Saleheen, Danish | Sattar, Naveed | Schadt, Eric E. | Schlessinger, David | Slagboom, P. Eline | Snieder, Harold | Spector, Tim D. | Thorsteinsdottir, Unnur | Stumvoll, Michael | Tuomilehto, Jaakko | Uitterlinden, André G. | Uusitupa, Matti | van der Harst, Pim | Walker, Mark | Wallaschofski, Henri | Wareham, Nicholas J. | Watkins, Hugh | Weir, David R. | Wichmann, H-Erich | Wilson, James F. | Zanen, Pieter | Borecki, Ingrid B. | Deloukas, Panos | Fox, Caroline S. | Heid, Iris M. | O’Connell, Jeffrey R. | Strachan, David P. | Stefansson, Kari | van Duijn, Cornelia M. | Abecasis, Gonçalo R. | Franke, Lude | Frayling, Timothy M. | McCarthy, Mark I. | Visscher, Peter M. | Scherag, André | Willer, Cristen J. | Boehnke, Michael | Mohlke, Karen L. | Lindgren, Cecilia M. | Beckmann, Jacques S. | Barroso, Inês | North, Kari E. | Ingelsson, Erik | Hirschhorn, Joel N. | Loos, Ruth J. F. | Speliotes, Elizabeth K.
Nature  2015;518(7538):197-206.
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10−8), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ~2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
doi:10.1038/nature14177
PMCID: PMC4382211  PMID: 25673413
17.  Circulating Brain‐Derived Neurotrophic Factor Concentrations and the Risk of Cardiovascular Disease in the Community 
Background
Brain‐derived neurotrophic factor (BDNF) is a pleiotropic peptide involved in maintaining endothelial integrity. It is unknown if circulating BDNF levels are associated with risk of cardiovascular disease (CVD).
Methods and Results
We prospectively investigated the association of circulating BDNF levels with cardiovascular events and mortality in 3687 participants (mean age 65 years, 2068 women) from the Framingham Heart Study (FHS). Using a common nonsynonomous single nucleotide polymorphism (SNP) in the BDNF gene (rs6265), we then performed a Mendelian randomization experiment in the CARDIoGRAM (Coronary ARtery DIsease Genome‐Wide Replication And Meta‐Analysis) consortium (>22 000 coronary artery disease [CAD] cases, >60 000 controls) to investigate whether SNP rs6265 was associated with CAD in CARDIoGRAM and, if so, whether the effect estimate differed from that predicted based on FHS data. On follow‐up (median 8.9 years), 467 individuals (261 women) in FHS experienced a CVD event, and 835 (430 women) died. In multivariable‐adjusted Cox regression, serum BDNF was associated inversely with CVD risk (hazard ratio [HR] per 1‐SD increase 0.88, 95% CI 0.80 to 0.97, P=0.01) and with mortality (HR 0.87, 95% CI 0.80 to 0.93, P=0.0002). SNP rs6265 was associated with BDNF concentrations (0.772 ng/mL increase per minor allele copy) in FHS. In CARDIoGRAM, SNP rs6265 was associated with CAD (odds ratio 0.957, 95% CI 0.923 to 0.992), a magnitude consistent with the predicted effect (HR per minor allele copy 0.99, 95% CI 0.98 to 1.0; P=0.06 for difference between predicted and observed effect).
Conclusion
Higher serum BDNF is associated with a decreased risk of CVD and mortality. Mendelian randomization suggests a causal protective role of BDNF in the pathogenesis of CVD.
doi:10.1161/JAHA.114.001544
PMCID: PMC4392437  PMID: 25762803
cardiovascular disease; growth factors; Mendelian randomization; mortality; risk factors
18.  Shared genetic susceptibility to ischemic stroke and coronary artery disease – a genome-wide analysis of common variants 
Summary
Background and Purpose
Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each have a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases.
Methods
Genome-wide association data were obtained from the METASTROKE, CARDIoGRAM, and C4D consortia. We first analyzed common variants reaching a nominal threshold of significance (p<0.01) for CAD for their association with IS and vice versa. We then examined specific overlap across phenotypes for variants that reached a high threshold of significance. Finally, we conducted a joint meta-analysis on the combined phenotype of IS or CAD. Corresponding analyses were performed restricted to the 2,167 individuals with the ischemic large artery stroke (LAS) subtype.
Results
Common variants associated with CAD at p<0.01 were associated with a significant excess risk for IS and for LAS and vice versa. Among the 42 known genome-wide significant loci for CAD, three and five loci were significantly associated with IS and LAS, respectively. In the joint meta-analyses, 15 loci passed genome-wide significance (p<5×10-8) for the combined phenotype of IS or CAD and 17 loci passed genome-wide significance for LAS or CAD. Since these loci had prior evidence for genome-wide significance for CAD we specifically analyzed the respective signals for IS and LAS and found evidence for association at chr12q24/SH2B3 (pIS=1.62×10-07) and ABO (pIS =2.6×10-4) as well as at HDAC9 (pLAS=2.32×10-12), 9p21 (pLAS =3.70×10-6), RAI1-PEMT-RASD1 (pLAS =2.69×10-5), EDNRA (pLAS =7.29×10-4), and CYP17A1-CNNM2-NT5C2 (pLAS =4.9×10-4).
Conclusions
Our results demonstrate substantial overlap in the genetic risk of ischemic stroke and particularly the large artery stroke subtype with coronary artery disease.
doi:10.1161/STROKEAHA.113.002707
PMCID: PMC4112102  PMID: 24262325
19.  A Multi-Ethnic Meta-Analysis of Genome-Wide Association Studies in Over 100,000 Subjects Identifies 23 Fibrinogen-Associated Loci but no Strong Evidence of a Causal Association between Circulating Fibrinogen and Cardiovascular Disease 
Sabater-Lleal, Maria | Huang, Jie | Chasman, Daniel | Naitza, Silvia | Dehghan, Abbas | Johnson, Andrew D | Teumer, Alexander | Reiner, Alex P | Folkersen, Lasse | Basu, Saonli | Rudnicka, Alicja R | Trompet, Stella | Mälarstig, Anders | Baumert, Jens | Bis, Joshua C. | Guo, Xiuqing | Hottenga, Jouke J | Shin, So-Youn | Lopez, Lorna M | Lahti, Jari | Tanaka, Toshiko | Yanek, Lisa R | Oudot-Mellakh, Tiphaine | Wilson, James F | Navarro, Pau | Huffman, Jennifer E | Zemunik, Tatijana | Redline, Susan | Mehra, Reena | Pulanic, Drazen | Rudan, Igor | Wright, Alan F | Kolcic, Ivana | Polasek, Ozren | Wild, Sarah H | Campbell, Harry | Curb, J David | Wallace, Robert | Liu, Simin | Eaton, Charles B. | Becker, Diane M. | Becker, Lewis C. | Bandinelli, Stefania | Räikkönen, Katri | Widen, Elisabeth | Palotie, Aarno | Fornage, Myriam | Green, David | Gross, Myron | Davies, Gail | Harris, Sarah E | Liewald, David C | Starr, John M | Williams, Frances M.K. | Grant, P.J. | Spector, Timothy D. | Strawbridge, Rona J | Silveira, Angela | Sennblad, Bengt | Rivadeneira, Fernando | Uitterlinden, Andre G | Franco, Oscar H | Hofman, Albert | van Dongen, Jenny | Willemsen, G | Boomsma, Dorret I | Yao, Jie | Jenny, Nancy Swords | Haritunians, Talin | McKnight, Barbara | Lumley, Thomas | Taylor, Kent D | Rotter, Jerome I | Psaty, Bruce M | Peters, Annette | Gieger, Christian | Illig, Thomas | Grotevendt, Anne | Homuth, Georg | Völzke, Henry | Kocher, Thomas | Goel, Anuj | Franzosi, Maria Grazia | Seedorf, Udo | Clarke, Robert | Steri, Maristella | Tarasov, Kirill V | Sanna, Serena | Schlessinger, David | Stott, David J | Sattar, Naveed | Buckley, Brendan M | Rumley, Ann | Lowe, Gordon D | McArdle, Wendy L | Chen, Ming-Huei | Tofler, Geoffrey H | Song, Jaejoon | Boerwinkle, Eric | Folsom, Aaron R. | Rose, Lynda M. | Franco-Cereceda, Anders | Teichert, Martina | Ikram, M Arfan | Mosley, Thomas H | Bevan, Steve | Dichgans, Martin | Rothwell, Peter M. | Sudlow, Cathie L M | Hopewell, Jemma C. | Chambers, John C. | Saleheen, Danish | Kooner, Jaspal S. | Danesh, John | Nelson, Christopher P | Erdmann, Jeanette | Reilly, Muredach P. | Kathiresan, Sekar | Schunkert, Heribert | Morange, Pierre-Emmanuel | Ferrucci, Luigi | Eriksson, Johan G | Jacobs, David | Deary, Ian J | Soranzo, Nicole | Witteman, Jacqueline CM | de Geus, Eco JC | Tracy, Russell P. | Hayward, Caroline | Koenig, Wolfgang | Cucca, Francesco | Jukema, J Wouter | Eriksson, Per | Seshadri, Sudha | Markus, Hugh S. | Watkins, Hugh | Samani, Nilesh J | Wallaschofski, Henri | Smith, Nicholas L. | Tregouet, David | Ridker, Paul M. | Tang, Weihong | Strachan, David P. | Hamsten, Anders | O’Donnell, Christopher J.
Circulation  2013;128(12):10.1161/CIRCULATIONAHA.113.002251.
Background
Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease (CVD), range from 34 to 50%. Genetic variants so far identified by genome-wide association (GWA) studies only explain a small proportion (< 2%) of its variation.
Methods and Results
We conducted a meta-analysis of 28 GWA studies, including more than 90,000 subjects of European ancestry, the first GWA meta-analysis of fibrinogen levels in 7 African Americans studies totaling 8,289 samples, and a GWA study in Hispanic-Americans totaling 1,366 samples. Evaluation for association of SNPs with clinical outcomes included a total of 40,695 cases and 85,582 controls for coronary artery disease (CAD), 4,752 cases and 24,030 controls for stroke, and 3,208 cases and 46,167 controls for venous thromboembolism (VTE). Overall, we identified 24 genome-wide significant (P<5×10−8) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the three structural fibrinogen genes and pathways related to inflammation, adipocytokines and thyrotrophin-releasing hormone signaling. Whereas lead SNPs in a few loci were significantly associated with CAD, the combined effect of all 24 fibrinogen-associated lead SNPs was not significant for CAD, stroke or VTE.
Conclusion
We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and CAD, stroke or VTE.
doi:10.1161/CIRCULATIONAHA.113.002251
PMCID: PMC3842025  PMID: 23969696
Fibrinogen; cardiovascular disease; genome-wide association study
20.  Whole-exome sequencing in an extended family with myocardial infarction unmasks familial hypercholesterolemia 
Background
Familial hypercholesterolemia (FH) is an autosomal-dominant disease leading to markedly elevated low-density lipoprotein (LDL) cholesterol levels and increased risk for premature myocardial infarction (MI). Mutation carriers display variable LDL cholesterol levels, which may obscure the diagnosis. We examined by whole-exome sequencing a family in which multiple myocardial infarctions occurred at a young age with unclear etiology.
Methods
Whole-exome sequencing of three affected family members, validation of the identified variant with Sanger-sequencing, and subsequent co-segregation analysis in the family.
Results
The index patient (LDL cholesterol 188 mg/dL) was referred for molecular-genetic investigations. He had coronary artery bypass graft (CABG) at the age of 59 years; 12 out of 15 1st, 2nd and 3rd degree relatives were affected with coronary artery disease (CAD) and/or premature myocardial infarction (MI). We sequenced the whole-exome of the patient and two cousins with premature MI. After filtering, we were left with a potentially disease causing variant in the LDL receptor (LDLR) gene, which we validated by Sanger-sequencing (nucleotide substitution in the acceptor splice-site of exon 10, c.1359-1G > A). Sequencing of all family members available for genetic analysis revealed co-segregation of the variant with CAD (LOD 3.0) and increased LDLC (>190 mg/dL), following correction for statin treatment (LOD 4.3). Interestingly, mutation carriers presented with highly variable corrected (183–354 mg/dL) and on-treatment LDL levels (116–274 mg/dL) such that the diagnosis of FH in this family was made only after the molecular-genetic analysis.
Conclusion
Even in families with unusual clustering of CAD FH remains to be underdiagnosed, which underscores the need for implementation of systematic screening programs. Whole-exome sequencing may facilitate identification of disease-causing variants in families with unclear etiology of MI and enable preventive treatment of mutation carriers in a more timely fashion.
doi:10.1186/1471-2261-14-108
PMCID: PMC4243586  PMID: 25154303
Familial hypercholesterolemia; Myocardial infarction; Whole-exome sequencing
21.  Integrative Genomics Reveals Novel Molecular Pathways and Gene Networks for Coronary Artery Disease 
PLoS Genetics  2014;10(7):e1004502.
The majority of the heritability of coronary artery disease (CAD) remains unexplained, despite recent successes of genome-wide association studies (GWAS) in identifying novel susceptibility loci. Integrating functional genomic data from a variety of sources with a large-scale meta-analysis of CAD GWAS may facilitate the identification of novel biological processes and genes involved in CAD, as well as clarify the causal relationships of established processes. Towards this end, we integrated 14 GWAS from the CARDIoGRAM Consortium and two additional GWAS from the Ottawa Heart Institute (25,491 cases and 66,819 controls) with 1) genetics of gene expression studies of CAD-relevant tissues in humans, 2) metabolic and signaling pathways from public databases, and 3) data-driven, tissue-specific gene networks from a multitude of human and mouse experiments. We not only detected CAD-associated gene networks of lipid metabolism, coagulation, immunity, and additional networks with no clear functional annotation, but also revealed key driver genes for each CAD network based on the topology of the gene regulatory networks. In particular, we found a gene network involved in antigen processing to be strongly associated with CAD. The key driver genes of this network included glyoxalase I (GLO1) and peptidylprolyl isomerase I (PPIL1), which we verified as regulatory by siRNA experiments in human aortic endothelial cells. Our results suggest genetic influences on a diverse set of both known and novel biological processes that contribute to CAD risk. The key driver genes for these networks highlight potential novel targets for further mechanistic studies and therapeutic interventions.
Author Summary
Sudden death due to heart attack ranks among the top causes of death in the world, and family studies have shown that genetics has a substantial effect on heart disease risk. Recent studies suggest that multiple genetic factors each with modest effects are necessary for the development of CAD, but the genes and molecular processes involved remain poorly understood. We conducted an integrative genomics study where we used the information of gene-gene interactions to capture groups of genes that are most likely to increase heart disease risk. We not only confirmed the importance of several known CAD risk processes such as the metabolism and transport of cholesterol, immune response, and blood coagulation, but also revealed many novel processes such as neuroprotection, cell cycle, and proteolysis that were not previously implicated in CAD. In particular, we highlight several genes such as GLO1 with key regulatory roles within these processes not detected by the first wave of genetic analyses. These results highlight the value of integrating population genetic data with diverse resources that functionally annotate the human genome. Such integration facilitates the identification of novel molecular processes involved in the pathogenesis of CAD as well as potential novel targets for the development of efficacious therapeutic interventions.
doi:10.1371/journal.pgen.1004502
PMCID: PMC4102418  PMID: 25033284
22.  Overlap Between Common Genetic Polymorphisms Underpinning Kidney Traits and Cardiovascular Disease Phenotypes: The CKDGen Consortium 
Background
Chronic kidney disease is associated with cardiovascular disease. We tested for evidence of a shared genetic basis to these traits.
Study Design
We conducted two targeted analyses. First, we examined whether known single nucleotide polymorphisms (SNPs) underpinning kidney traits were associated with a series of vascular phenotypes. Additionally, we tested whether vascular SNPs were associated with markers of kidney damage. Significance was set to 1.5 × 10-4 (0.05/325 tests).
Setting & Participants
Vascular outcomes were analyzed in participants from the AortaGen (20,634), CARDIoGRAM (86,995), CHARGE Eye (15,358), CHARGE IMT (31,181), ICBP (69,395) and NeuroCHARGE (12,385) consortia. Tests for kidney outcomes were conducted in up to 67,093 participants from the CKDGen consortium.
Predictor
We used 19 kidney SNPs and 64 vascular SNPs.
Outcomes & Measurements
Vascular outcomes tested were blood pressure, coronary artery disease, carotid intima-media thickness, pulse wave velocity, retinal venular caliber and brain white matter lesions. Kidney outcomes were estimated glomerular filtration rate and albuminuria.
Results
In general, we found that kidney disease variants were not associated with vascular phenotypes (127 of 133 tests were non-significant). The one exception was rs653178 near SH2B3 (SH2B adaptor protein 3), which showed direction-consistent association with systolic (p=9.3E-10) and diastolic (p=1.6E-14) blood pressure and coronary artery disease (p=2.2E-6), all previously reported. Similarly, the 64 SNPs associated with vascular phenotypes were not associated with kidney phenotypes (187 of 192 tests were non-significant), with the exception of 2 high-correlated SNPs at the SH2B3 locus (p=1.06E-07 and p=7.05E-08).
Limitations
Combined effect size of the SNPs for kidney and vascular outcomes may be too low to detect shared genetic associations.
Conclusions
Overall, although we confirmed one locus (SH2B3) as associated with both kidney and cardiovascular disease, our primary findings suggest that there is little overlap between kidney and cardiovascular disease risk variants in the overall population. The reciprocal risks of kidney and cardiovascular disease may not be genetically mediated, but rather a function of the disease milieu itself.
doi:10.1053/j.ajkd.2012.12.024
PMCID: PMC3660426  PMID: 23474010
23.  A Systems Biology Framework Identifies Molecular Underpinnings of Coronary Heart Disease 
Objective
Genetic approaches have identified numerous loci associated with coronary heart disease (CHD). The molecular mechanisms underlying CHD gene-disease associations, however, remain unclear. We hypothesized that genetic variants with both strong and subtle effects drive gene subnetworks that in turn affect CHD.
Approach and Results
We surveyed CHD-associated molecular interactions by constructing coexpression networks using whole blood gene expression profiles from 188 CHD cases and 188 age- and sex-matched controls. 24 coexpression modules were identified including one case-specific and one control-specific differential module (DM). The DMs were enriched for genes involved in B-cell activation, immune response, and ion transport. By integrating the DMs with altered gene expression associated SNPs (eSNPs) and with results of GWAS of CHD and its risk factors, the control-specific DM was implicated as CHD-causal based on its significant enrichment for both CHD and lipid eSNPs. This causal DM was further integrated with tissue-specific Bayesian networks and protein-protein interaction networks to identify regulatory key driver (KD) genes. Multi-tissue KDs (SPIB and TNFRSF13C) and tissue-specific KDs (e.g. EBF1) were identified.
Conclusions
Our network-driven integrative analysis not only identified CHD-related genes, but also defined network structure that sheds light on the molecular interactions of genes associated with CHD risk.
doi:10.1161/ATVBAHA.112.300112
PMCID: PMC3752786  PMID: 23539213
Gene expression; coronary heart disease; systems biology; coexpression network
24.  Exome sequencing and directed clinical phenotyping diagnose cholesterol ester storage disease presenting as autosomal recessive hypercholesterolemia 
Objective
Autosomal recessive hypercholesterolemia (ARH) is a rare inherited disorder characterized by extremely high total and low-density lipoprotein cholesterol levels that has been previously linked to mutations in LDLRAP1. We identified a family with ARH not explained by mutations in LDLRAP1 or other genes known to cause monogenic hypercholesterolemia. The aim of this study was to identify the molecular etiology of ARH in this family.
Approach and Results
We used exome sequencing to assess all protein coding regions of the genome in three family members and identified a homozygous exon 8 splice junction mutation (c.894G>A, also known as E8SJM) in LIPA that segregated with the diagnosis of hypercholesterolemia. Since homozygosity for mutations in LIPA is known to cause cholesterol ester storage disease (CESD), we performed directed follow-up phenotyping by non-invasively measuring hepatic cholesterol content. We observed abnormal hepatic accumulation of cholesterol in the homozygote individuals, supporting the diagnosis of CESD. Given previous suggestions of cardiovascular disease risk in heterozygous LIPA mutation carriers, we genotyped E8SJM in >27,000 individuals and found no association with plasma lipid levels or risk of myocardial infarction, confirming a true recessive mode of inheritance.
Conclusions
By integrating observations from Mendelian and population genetics along with directed clinical phenotyping, we diagnosed clinically unapparent CESD in the affected individuals from this kindred and addressed an outstanding question regarding risk of cardiovascular disease in LIPA E8SJM heterozygous carriers.
doi:10.1161/ATVBAHA.113.302426
PMCID: PMC4002172  PMID: 24072694
hypercholesterolemia; genetics; myocardial infarction
25.  C-Reactive Protein and Arteriosclerosis 
Mediators of Inflammation  2014;2014:646817.
doi:10.1155/2014/646817
PMCID: PMC4058278  PMID: 24976688

Results 1-25 (82)