PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-25 (40)
 

Clipboard (0)
None

Select a Filter Below

Year of Publication
1.  Bivariate Heritability of Total and Regional Brain Volumes: the Framingham Study 
Heritability and genetic and environmental correlations of total and regional brain volumes were estimated from a large, generally healthy, community-based sample, to determine if there are common elements to the genetic influence of brain volumes and white matter hyperintensity volume. There were 1538 Framingham Heart Study participants with brain volume measures from quantitative magnetic resonance imaging (MRI) who were free of stroke and other neurological disorders that might influence brain volumes and who were members of families with at least two Framingham Heart Study participants. Heritability was estimated using variance component methodology and adjusting for the components of the Framingham stroke risk profile. Genetic and environmental correlations between traits were obtained from bivariate analysis. Heritability estimates ranging from 0.46 to 0.60, were observed for total brain, white matter hyperintensity, hippocampal, temporal lobe, and lateral ventricular volumes. Moderate, yet significant, heritability was observed for the other measures. Bivariate analyses demonstrated that relationships between brain volume measures, except for white matter hyperintensity, reflected both moderate to strong shared genetic and shared environmental influences. This study confirms strong genetic effects on brain and white matter hyperintensity volumes. These data extend current knowledge by showing that these two different types of MRI measures do not share underlying genetic or environmental influences.
doi:10.1097/WAD.0b013e31819cadd8
PMCID: PMC2760008  PMID: 19812462
heritability; quantitative MRI; brain volume; white matter hyperintensity
2.  APOE genotype and MRI markers of cerebrovascular disease 
Neurology  2013;81(3):292-300.
Objective:
We aimed to examine the association of APOE ε genotype with MRI markers of cerebrovascular disease (CVD): white matter hyperintensities, brain infarcts, and cerebral microbleeds.
Methods:
We performed a systematic review and meta-analysis of 42 cross-sectional or longitudinal studies identified in PubMed from 1966 to June 2012 (n = 29,965). This included unpublished data from 3 population-based studies: 3C-Dijon, Framingham Heart Study, and Sydney Memory and Ageing Study. When necessary, authors were contacted to provide effect estimates for the meta-analysis.
Results:
APOE ε4 carrier status and APOE ε44 genotype were associated with increasing white matter hyperintensity burden (sample size–weighted z score meta-analysis [meta]-p = 0.0034 and 0.0030) and presence of cerebral microbleeds (meta odds ratio [OR] = 1.24, 95% confidence interval [CI] [1.07, 1.43], p = 0.004, and 1.87 [1.26, 2.78], p = 0.002), especially lobar. APOE ε2 carrier status was associated with increasing white matter hyperintensity load (z score meta-p = 0.00053) and risk of brain infarct (meta OR = 1.41[1.09, 1.81], p = 0.008).
Conclusions:
APOE ε4 and APOE ε2 were associated with increasing burden in MRI markers for both hemorrhagic and ischemic CVD. While the association of APOE ε4 with an increased burden of CVD could be partly contributing to the relationship between APOE ε4 and AD, APOE ε2 was associated with MRI markers of CVD in the opposite direction compared to AD.
doi:10.1212/WNL.0b013e31829bfda4
PMCID: PMC3770168  PMID: 23858411
3.  Serum Brain-Derived Neurotrophic Factor and the Risk for Dementia 
JAMA neurology  2014;71(1):55-61.
IMPORTANCE
In animal studies, brain-derived neurotrophic factor (BDNF) has been shown to impact neuronal survival and function and improve synaptic plasticity and long-term memory. Circulating BDNF levels increase with physical activity and caloric restriction, thus BDNF may mediate some of the observed associations between lifestyle and the risk for dementia. Some prior studies showed lower circulating BDNF in persons with Alzheimer disease (AD) compared with control participants; however, it remains uncertain whether reduced levels precede dementia onset.
OBJECTIVE
To examine whether higher serum BDNF levels in cognitively healthy adults protect against the future risk for dementia and AD and to identify potential modifiers of this association.
DESIGN, SETTING, AND PARTICIPANTS
Framingham Study original and offspring participants were followed up from 1992 and 1998, respectively, for up to 10 years. We used Cox models to relate BDNF levels to the risk for dementia and AD and adjusted for potential confounders. We also ran sensitivity analyses stratified by sex, age, and education, as well as related BDNF genetic variants to AD risk. This community-based, prospective cohort study involved 2131 dementia-free participants aged 60 years and older (mean [SD] age, 72 [7] years; 56% women).
MAIN OUTCOMES AND MEASURES
Ten-year incidence of dementia and AD.
RESULTS
During follow-up, 140 participants developed dementia, 117 of whom had AD. Controlling for age and sex, each standard-deviation increment in BDNF was associated with a 33% lower risk for dementia and AD (P = .006 and P = .01, respectively) and these associations persisted after additional adjustments. Compared with the bottom quintile, BDNF levels in the top quintile were associated with less than half the risk for dementia and AD (hazard ratio, 0.49; 95%CI, 0.28–0.85; P = .01; and hazard ratio, 0.46; 95%CI, 0.24–0.86; P = .02, respectively). These associations were apparent only among women, persons aged 80 years and older, and those with college degrees (hazard ratios for AD: 0.65, [95%CI, 0.50–0.85], P = .001; 0.63 [95%CI, 0.47–0.85], P = .002; and 0.27 [95%CI, 0.11–0.65], P = .003, respectively). Brain-derived neurotrophic factor genetic variants were not associated with AD risk.
CONCLUSIONS AND RELEVANCE
Higher serum BDNF levels may protect against future occurrence of dementia and AD. Our findings suggest a role for BDNF in the biology and possibly in the prevention of dementia and AD, especially in select subgroups of women and older and more highly educated persons.
doi:10.1001/jamaneurol.2013.4781
PMCID: PMC4056186  PMID: 24276217
4.  Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease 
Escott-Price, Valentina | Bellenguez, Céline | Wang, Li-San | Choi, Seung-Hoan | Harold, Denise | Jones, Lesley | Holmans, Peter | Gerrish, Amy | Vedernikov, Alexey | Richards, Alexander | DeStefano, Anita L. | Lambert, Jean-Charles | Ibrahim-Verbaas, Carla A. | Naj, Adam C. | Sims, Rebecca | Jun, Gyungah | Bis, Joshua C. | Beecham, Gary W. | Grenier-Boley, Benjamin | Russo, Giancarlo | Thornton-Wells, Tricia A. | Denning, Nicola | Smith, Albert V. | Chouraki, Vincent | Thomas, Charlene | Ikram, M. Arfan | Zelenika, Diana | Vardarajan, Badri N. | Kamatani, Yoichiro | Lin, Chiao-Feng | Schmidt, Helena | Kunkle, Brian | Dunstan, Melanie L. | Vronskaya, Maria | Johnson, Andrew D. | Ruiz, Agustin | Bihoreau, Marie-Thérèse | Reitz, Christiane | Pasquier, Florence | Hollingworth, Paul | Hanon, Olivier | Fitzpatrick, Annette L. | Buxbaum, Joseph D. | Campion, Dominique | Crane, Paul K. | Baldwin, Clinton | Becker, Tim | Gudnason, Vilmundur | Cruchaga, Carlos | Craig, David | Amin, Najaf | Berr, Claudine | Lopez, Oscar L. | De Jager, Philip L. | Deramecourt, Vincent | Johnston, Janet A. | Evans, Denis | Lovestone, Simon | Letenneur, Luc | Hernández, Isabel | Rubinsztein, David C. | Eiriksdottir, Gudny | Sleegers, Kristel | Goate, Alison M. | Fiévet, Nathalie | Huentelman, Matthew J. | Gill, Michael | Brown, Kristelle | Kamboh, M. Ilyas | Keller, Lina | Barberger-Gateau, Pascale | McGuinness, Bernadette | Larson, Eric B. | Myers, Amanda J. | Dufouil, Carole | Todd, Stephen | Wallon, David | Love, Seth | Rogaeva, Ekaterina | Gallacher, John | George-Hyslop, Peter St | Clarimon, Jordi | Lleo, Alberto | Bayer, Anthony | Tsuang, Debby W. | Yu, Lei | Tsolaki, Magda | Bossù, Paola | Spalletta, Gianfranco | Proitsi, Petra | Collinge, John | Sorbi, Sandro | Garcia, Florentino Sanchez | Fox, Nick C. | Hardy, John | Naranjo, Maria Candida Deniz | Bosco, Paolo | Clarke, Robert | Brayne, Carol | Galimberti, Daniela | Scarpini, Elio | Bonuccelli, Ubaldo | Mancuso, Michelangelo | Siciliano, Gabriele | Moebus, Susanne | Mecocci, Patrizia | Zompo, Maria Del | Maier, Wolfgang | Hampel, Harald | Pilotto, Alberto | Frank-García, Ana | Panza, Francesco | Solfrizzi, Vincenzo | Caffarra, Paolo | Nacmias, Benedetta | Perry, William | Mayhaus, Manuel | Lannfelt, Lars | Hakonarson, Hakon | Pichler, Sabrina | Carrasquillo, Minerva M. | Ingelsson, Martin | Beekly, Duane | Alvarez, Victoria | Zou, Fanggeng | Valladares, Otto | Younkin, Steven G. | Coto, Eliecer | Hamilton-Nelson, Kara L. | Gu, Wei | Razquin, Cristina | Pastor, Pau | Mateo, Ignacio | Owen, Michael J. | Faber, Kelley M. | Jonsson, Palmi V. | Combarros, Onofre | O'Donovan, Michael C. | Cantwell, Laura B. | Soininen, Hilkka | Blacker, Deborah | Mead, Simon | Mosley, Thomas H. | Bennett, David A. | Harris, Tamara B. | Fratiglioni, Laura | Holmes, Clive | de Bruijn, Renee F. A. G. | Passmore, Peter | Montine, Thomas J. | Bettens, Karolien | Rotter, Jerome I. | Brice, Alexis | Morgan, Kevin | Foroud, Tatiana M. | Kukull, Walter A. | Hannequin, Didier | Powell, John F. | Nalls, Michael A. | Ritchie, Karen | Lunetta, Kathryn L. | Kauwe, John S. K. | Boerwinkle, Eric | Riemenschneider, Matthias | Boada, Mercè | Hiltunen, Mikko | Martin, Eden R. | Schmidt, Reinhold | Rujescu, Dan | Dartigues, Jean-François | Mayeux, Richard | Tzourio, Christophe | Hofman, Albert | Nöthen, Markus M. | Graff, Caroline | Psaty, Bruce M. | Haines, Jonathan L. | Lathrop, Mark | Pericak-Vance, Margaret A. | Launer, Lenore J. | Van Broeckhoven, Christine | Farrer, Lindsay A. | van Duijn, Cornelia M. | Ramirez, Alfredo | Seshadri, Sudha | Schellenberg, Gerard D. | Amouyel, Philippe | Williams, Julie
PLoS ONE  2014;9(6):e94661.
Background
Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls.
Principal Findings
In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10−6) and 14 (IGHV1-67 p = 7.9×10−8) which indexed novel susceptibility loci.
Significance
The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
doi:10.1371/journal.pone.0094661
PMCID: PMC4055488  PMID: 24922517
5.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease 
Lambert, Jean-Charles | Ibrahim-Verbaas, Carla A | Harold, Denise | Naj, Adam C | Sims, Rebecca | Bellenguez, Céline | Jun, Gyungah | DeStefano, Anita L | Bis, Joshua C | Beecham, Gary W | Grenier-Boley, Benjamin | Russo, Giancarlo | Thornton-Wells, Tricia A | Jones, Nicola | Smith, Albert V | Chouraki, Vincent | Thomas, Charlene | Ikram, M Arfan | Zelenika, Diana | Vardarajan, Badri N | Kamatani, Yoichiro | Lin, Chiao-Feng | Gerrish, Amy | Schmidt, Helena | Kunkle, Brian | Dunstan, Melanie L | Ruiz, Agustin | Bihoreau, Marie-Thérèse | Choi, Seung-Hoan | Reitz, Christiane | Pasquier, Florence | Hollingworth, Paul | Ramirez, Alfredo | Hanon, Olivier | Fitzpatrick, Annette L | Buxbaum, Joseph D | Campion, Dominique | Crane, Paul K | Baldwin, Clinton | Becker, Tim | Gudnason, Vilmundur | Cruchaga, Carlos | Craig, David | Amin, Najaf | Berr, Claudine | Lopez, Oscar L | De Jager, Philip L | Deramecourt, Vincent | Johnston, Janet A | Evans, Denis | Lovestone, Simon | Letenneur, Luc | Morón, Francisco J | Rubinsztein, David C | Eiriksdottir, Gudny | Sleegers, Kristel | Goate, Alison M | Fiévet, Nathalie | Huentelman, Matthew J | Gill, Michael | Brown, Kristelle | Kamboh, M Ilyas | Keller, Lina | Barberger-Gateau, Pascale | McGuinness, Bernadette | Larson, Eric B | Green, Robert | Myers, Amanda J | Dufouil, Carole | Todd, Stephen | Wallon, David | Love, Seth | Rogaeva, Ekaterina | Gallacher, John | St George-Hyslop, Peter | Clarimon, Jordi | Lleo, Alberto | Bayer, Anthony | Tsuang, Debby W | Yu, Lei | Tsolaki, Magda | Bossù, Paola | Spalletta, Gianfranco | Proitsi, Petroula | Collinge, John | Sorbi, Sandro | Sanchez-Garcia, Florentino | Fox, Nick C | Hardy, John | Deniz Naranjo, Maria Candida | Bosco, Paolo | Clarke, Robert | Brayne, Carol | Galimberti, Daniela | Mancuso, Michelangelo | Matthews, Fiona | Moebus, Susanne | Mecocci, Patrizia | Zompo, Maria Del | Maier, Wolfgang | Hampel, Harald | Pilotto, Alberto | Bullido, Maria | Panza, Francesco | Caffarra, Paolo | Nacmias, Benedetta | Gilbert, John R | Mayhaus, Manuel | Lannfelt, Lars | Hakonarson, Hakon | Pichler, Sabrina | Carrasquillo, Minerva M | Ingelsson, Martin | Beekly, Duane | Alvarez, Victoria | Zou, Fanggeng | Valladares, Otto | Younkin, Steven G | Coto, Eliecer | Hamilton-Nelson, Kara L | Gu, Wei | Razquin, Cristina | Pastor, Pau | Mateo, Ignacio | Owen, Michael J | Faber, Kelley M | Jonsson, Palmi V | Combarros, Onofre | O’Donovan, Michael C | Cantwell, Laura B | Soininen, Hilkka | Blacker, Deborah | Mead, Simon | Mosley, Thomas H | Bennett, David A | Harris, Tamara B | Fratiglioni, Laura | Holmes, Clive | de Bruijn, Renee F A G | Passmore, Peter | Montine, Thomas J | Bettens, Karolien | Rotter, Jerome I | Brice, Alexis | Morgan, Kevin | Foroud, Tatiana M | Kukull, Walter A | Hannequin, Didier | Powell, John F | Nalls, Michael A | Ritchie, Karen | Lunetta, Kathryn L | Kauwe, John S K | Boerwinkle, Eric | Riemenschneider, Matthias | Boada, Mercè | Hiltunen, Mikko | Martin, Eden R | Schmidt, Reinhold | Rujescu, Dan | Wang, Li-san | Dartigues, Jean-François | Mayeux, Richard | Tzourio, Christophe | Hofman, Albert | Nöthen, Markus M | Graff, Caroline | Psaty, Bruce M | Jones, Lesley | Haines, Jonathan L | Holmans, Peter A | Lathrop, Mark | Pericak-Vance, Margaret A | Launer, Lenore J | Farrer, Lindsay A | van Duijn, Cornelia M | Van Broeckhoven, Christine | Moskvina, Valentina | Seshadri, Sudha | Williams, Julie | Schellenberg, Gerard D | Amouyel, Philippe
Nature genetics  2013;45(12):1452-1458.
Eleven susceptibility loci for late-onset Alzheimer’s disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer’s disease cases and 37,154 controls. In stage 2,11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer’s disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer’s disease.
doi:10.1038/ng.2802
PMCID: PMC3896259  PMID: 24162737
6.  Common variants at 6q22 and 17q21 are associated with intracranial volume 
Nature genetics  2012;44(5):539-544.
During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study in 8,175 community-dwelling elderly did not reveal any genome-wide significant associations (p<5*10−8) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (p=3.4*10−11), a known height locus on chromosome 6q22, and rs9915547, tagging the inversion on chromosome 17q21 (p=1.5*10−12). We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 older persons (p=1.1*10−3 for 6q22 and p=1.2*10−3 for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age 14.5 months). Our data identify two loci associated with head size, with the inversion on 17q21 also likely involved in attaining maximal brain size.
doi:10.1038/ng.2245
PMCID: PMC3618290  PMID: 22504418
7.  Incorporating Biological Information into Association Studies of Sequencing Data 
Genetic epidemiology  2011;35(0 1):S29-S34.
We summarize the methodological contributions from Group 3 of Genetic Analysis Workshop 17 (GAW17). The overarching goal of these methods was the evaluation and enhancement of state-of-the-art approaches in integration of biological knowledge into association studies of rare variants. We found that methods loosely fell into three major categories: (1) hypothesis testing of index scores based on aggregating rare variants at the gene level, (2) variable selection techniques that incorporate biological prior information, and (3) novel approaches that integrate external (i.e., not provided by GAW17) prior information, such as pathway and single-nucleotide polymorphism (SNP) annotations. Commonalities among the findings from these contributions are that gene-based analysis of rare variants is advantageous to single-SNP analysis and that the minor allele frequency threshold to identify rare variants may influence power and thus needs to be carefully considered. A consistent increase in power was also identified by considering only nonsynonymous SNPs in the analyses. Overall, we found that no single method had an appreciable advantage over the other methods. However, methods that carried out sensitivity analyses by comparing biologically informative to noninformative prior probabilities demonstrated that integrating biological knowledge into statistical analyses always, at the least, enabled subtle improvements in the performance of any statistical method applied to these simulated data. Although these statistical improvements reflect the simulation model assumed for GAW17, our hope is that the simulation models provide a reasonable representation of the underlying biology and that these methods can thus be of utility in real data.
doi:10.1002/gepi.20646
PMCID: PMC3635488  PMID: 22128055
exome sequencing; pathway analysis; gene association
8.  Meta-analysis of Parkinson disease: Identification of a novel locus, RIT2 
Annals of Neurology  2012;71(3):370-384.
Objective
Genome-wide association (GWAS) methods have identified genes contributing to Parkinson disease (PD); we sought to identify additional genes associated with PD susceptibility.
Methods
A two stage design was used. First, individual level genotypic data from five recent PD GWAS (Discovery Sample: 4,238 PD cases and 4,239 controls) were combined. Following imputation, a logistic regression model was employed in each dataset to test for association with PD susceptibility and results from each dataset were meta-analyzed. Second, 768 SNPs were genotyped in an independent Replication Sample (3,738 cases and 2,111 controls).
Results
Genome-wide significance was reached for SNPs in SNCA (rs356165, G: odds ratio (OR)=1.37; p=9.3 × 10−21), MAPT (rs242559, C: OR=0.78; p=1.5 × 10−10), GAK/DGKQ (rs11248051, T:OR=1.35; p=8.2 × 10−9/ rs11248060, T: OR=1.35; p=2.0×10−9), and the HLA region (rs3129882, A: OR=0.83; p=1.2 × 10−8), which were previously reported. The Replication Sample confirmed the associations with SNCA, MAPT, and the HLA region and also with GBA (E326K OR=1.71; p=5 × 10−8 Combined Sample) (N370 OR=3.08; p=7 × 10−5 Replication sample). A novel PD susceptibility locus, RIT2, on chromosome 18 (rs12456492; p=5 × 10−5 Discovery Sample; p=1.52 × 10−7 Replication sample; p=2 × 10−10 Combined Sample) was replicated. Conditional analyses within each of the replicated regions identified distinct SNP associations within GBA and SNCA, suggesting that there may be multiple risk alleles within these genes.
Interpretation
We identified a novel PD susceptibility locus, RIT2, replicated several previously identified loci, and identified more than one risk allele within SNCA and GBA.
doi:10.1002/ana.22687
PMCID: PMC3354734  PMID: 22451204
9.  Common variants at 12q14 and 12q24 are associated with hippocampal volume 
Bis, Joshua C. | DeCarli, Charles | Smith, Albert Vernon | van der Lijn, Fedde | Crivello, Fabrice | Fornage, Myriam | Debette, Stephanie | Shulman, Joshua M. | Schmidt, Helena | Srikanth, Velandai | Schuur, Maaike | Yu, Lei | Choi, Seung-Hoan | Sigurdsson, Sigurdur | Verhaaren, Benjamin F.J. | DeStefano, Anita L. | Lambert, Jean-Charles | Jack, Clifford R. | Struchalin, Maksim | Stankovich, Jim | Ibrahim-Verbaas, Carla A. | Fleischman, Debra | Zijdenbos, Alex | den Heijer, Tom | Mazoyer, Bernard | Coker, Laura H. | Enzinger, Christian | Danoy, Patrick | Amin, Najaf | Arfanakis, Konstantinos | van Buchem, Mark A. | de Bruijn, Renée F.A.G. | Beiser, Alexa | Dufouil, Carole | Huang, Juebin | Cavalieri, Margherita | Thomson, Russell | Niessen, Wiro J. | Chibnik, Lori B. | Gislason, Gauti K. | Hofman, Albert | Pikula, Aleksandra | Amouyel, Philippe | Freeman, Kevin B. | Phan, Thanh G. | Oostra, Ben A. | Stein, Jason L. | Medland, Sarah E. | Vasquez, Alejandro Arias | Hibar, Derrek P. | Wright, Margaret J. | Franke, Barbara | Martin, Nicholas G. | Thompson, Paul M. | Nalls, Michael A. | Uitterlinden, Andre G. | Au, Rhoda | Elbaz, Alexis | Beare, Richard J. | van Swieten, John C. | Lopez, Oscar | Harris, Tamara B. | Chouraki, Vincent | Breteler, Monique M.B. | De Jager, Philip L. | Becker, James T. | Vernooij, Meike W. | Knopman, David | Fazekas, Franz | Wolf, Philip A. | van der Lugt, Aad | Gudnason, Vilmundur | Longstreth, W.T. | Brown, Mathew A. | Bennett, David A. | van Duijn, Cornelia M. | Mosley, Thomas H. | Schmidt, Reinhold | Tzourio, Christophe | Launer, Lenore J. | Ikram, M. Arfan | Seshadri, Sudha
Nature genetics  2012;44(5):545-551.
Aging is associated with reductions in hippocampal volume (HV) that are accelerated by Alzheimer’s disease and vascular risk factors. Our genome-wide association study of dementia-free persons (n=9,232) identified 46 SNPs at four loci with p-values <4.0×10-7. Two additional samples (n=2,318) replicated associations at 12q24 within MSRB3/WIF1 (discovery + replication, rs17178006; p=5.3×10-11) and at 12q14 near HRK/FBXW8 (rs7294919; p=2.9×10-11). Remaining associations included one 2q24 SNP within DPP4 (rs6741949; p=2.9×10-7) and nine 9p33 SNPs within ASTN2 (rs7852872; p=1.0×10-7) that were also associated with HV (p<0.05) in a third younger, more heterogeneous sample (n=7,794). The ASTN2 SNP was also associated with decline in cognition in a largely independent sample (n=1,563). These associations implicate genes related to apoptosis (HRK), development (WIF1), oxidative stress (MSR3B), ubiquitination (FBXW8), enzymes targeted by new diabetes medications (DPP4), and neuronal migration (ASTN2), indicating novel genetic influences that influence hippocampal size and possibly the risk of cognitive decline and dementia.
doi:10.1038/ng.2237
PMCID: PMC3427729  PMID: 22504421
10.  Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE Collaboration): a meta-analysis of genome-wide association studies 
Traylor, Matthew | Farrall, Martin | Holliday, Elizabeth G | Sudlow, Cathie | Hopewell, Jemma C | Cheng, Yu-Ching | Fornage, Myriam | Ikram, M Arfan | Malik, Rainer | Bevan, Steve | Thorsteinsdottir, Unnur | Nalls, Mike A | Longstreth, WT | Wiggins, Kerri L | Yadav, Sunaina | Parati, Eugenio A | DeStefano, Anita L | Worrall, Bradford B | Kittner, Steven J | Khan, Muhammad Saleem | Reiner, Alex P | Helgadottir, Anna | Achterberg, Sefanja | Fernandez-Cadenas, Israel | Abboud, Sherine | Schmidt, Reinhold | Walters, Matthew | Chen, Wei-Min | Ringelstein, E Bernd | O'Donnell, Martin | Ho, Weang Kee | Pera, Joanna | Lemmens, Robin | Norrving, Bo | Higgins, Peter | Benn, Marianne | Sale, Michele | Kuhlenbäumer, Gregor | Doney, Alexander S F | Vicente, Astrid M | Delavaran, Hossein | Algra, Ale | Davies, Gail | Oliveira, Sofia A | Palmer, Colin N A | Deary, Ian | Schmidt, Helena | Pandolfo, Massimo | Montaner, Joan | Carty, Cara | de Bakker, Paul I W | Kostulas, Konstantinos | Ferro, Jose M | van Zuydam, Natalie R | Valdimarsson, Einar | Nordestgaard, Børge G | Lindgren, Arne | Thijs, Vincent | Slowik, Agnieszka | Saleheen, Danish | Paré, Guillaume | Berger, Klaus | Thorleifsson, Gudmar | Hofman, Albert | Mosley, Thomas H | Mitchell, Braxton D | Furie, Karen | Clarke, Robert | Levi, Christopher | Seshadri, Sudha | Gschwendtner, Andreas | Boncoraglio, Giorgio B | Sharma, Pankaj | Bis, Joshua C | Gretarsdottir, Solveig | Psaty, Bruce M | Rothwell, Peter M | Rosand, Jonathan | Meschia, James F | Stefansson, Kari | Dichgans, Martin | Markus, Hugh S
Lancet Neurology  2012;11(11):951-962.
Summary
Background
Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes.
Methods
We meta-analysed data from 15 ischaemic stroke cohorts with a total of 12 389 individuals with ischaemic stroke and 62 004 controls, all of European ancestry. For the associations reaching genome-wide significance in METASTROKE, we did a further analysis, conditioning on the lead single nucleotide polymorphism in every associated region. Replication of novel suggestive signals was done in 13 347 cases and 29 083 controls.
Findings
We verified previous associations for cardioembolic stroke near PITX2 (p=2·8×10−16) and ZFHX3 (p=2·28×10−8), and for large-vessel stroke at a 9p21 locus (p=3·32×10−5) and HDAC9 (p=2·03×10−12). Additionally, we verified that all associations were subtype specific. Conditional analysis in the three regions for which the associations reached genome-wide significance (PITX2, ZFHX3, and HDAC9) indicated that all the signal in each region could be attributed to one risk haplotype. We also identified 12 potentially novel loci at p<5×10−6. However, we were unable to replicate any of these novel associations in the replication cohort.
Interpretation
Our results show that, although genetic variants can be detected in patients with ischaemic stroke when compared with controls, all associations we were able to confirm are specific to a stroke subtype. This finding has two implications. First, to maximise success of genetic studies in ischaemic stroke, detailed stroke subtyping is required. Second, different genetic pathophysiological mechanisms seem to be associated with different stroke subtypes.
Funding
Wellcome Trust, UK Medical Research Council (MRC), Australian National and Medical Health Research Council, National Institutes of Health (NIH) including National Heart, Lung and Blood Institute (NHLBI), the National Institute on Aging (NIA), the National Human Genome Research Institute (NHGRI), and the National Institute of Neurological Disorders and Stroke (NINDS).
doi:10.1016/S1474-4422(12)70234-X
PMCID: PMC3490334  PMID: 23041239
11.  Association of HSP70 and its co-chaperones with Alzheimer’s Disease 
The heat shock protein (HSP) 70 family has been implicated in the pathology of Alzheimer’s disease (AD). In this study, we examined common genetic variations in the 80 genes encoding HSP70 and its co-chaperones. We conducted a study in a series of 462 patients and 5238 unaffected participants derived from the Rotterdam Study, a population-based study including 7983 persons aged 55 years and older. We genotyped a total of 12,053 Single Nucleotide Polymorphisms (SNPs) using the HumanHap550K Genotyping BeadChip from Illumina. Replication was performed in two independent cohort studies, the Framingham Heart study (FHS; N=806) and Cardiovascular Health Study (CHS; N=2150). When adjusting for multiple testing, we found a small but consistent, though not significant effect of rs12118313 located 32kb from PFDN2, with an OR of 1.19 (p-value from meta-analysis =0.003). However this SNP was in the intron of another gene, suggesting it is unlikely this SNP reflects the effect of PFDN2. In a formal pathway analysis we found nominally significant evidence for an association of BAG, DNAJA and prefoldin with AD. These findings corroborate with those of a study of 2032 AD patients and 5328 controls, in which several members of the prefoldin family showed evidence for association to AD. Our study did not reveal evidence for a genetic variant if the HSP70 family with a major effect on AD. However, our findings of the single SNP analysis and pathway analysis suggest that multiple genetic variants in prefoldin are associated with AD.
doi:10.3233/JAD-2011-101560
PMCID: PMC3483142  PMID: 21403392
Heat-Shock Proteins; Alzheimer Disease; prefoldin; Genetic Association Studies
12.  Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure 
Wain, Louise V | Verwoert, Germaine C | O’Reilly, Paul F | Shi, Gang | Johnson, Toby | Johnson, Andrew D | Bochud, Murielle | Rice, Kenneth M | Henneman, Peter | Smith, Albert V | Ehret, Georg B | Amin, Najaf | Larson, Martin G | Mooser, Vincent | Hadley, David | Dörr, Marcus | Bis, Joshua C | Aspelund, Thor | Esko, Tõnu | Janssens, A Cecile JW | Zhao, Jing Hua | Heath, Simon | Laan, Maris | Fu, Jingyuan | Pistis, Giorgio | Luan, Jian’an | Arora, Pankaj | Lucas, Gavin | Pirastu, Nicola | Pichler, Irene | Jackson, Anne U | Webster, Rebecca J | Zhang, Feng | Peden, John F | Schmidt, Helena | Tanaka, Toshiko | Campbell, Harry | Igl, Wilmar | Milaneschi, Yuri | Hotteng, Jouke-Jan | Vitart, Veronique | Chasman, Daniel I | Trompet, Stella | Bragg-Gresham, Jennifer L | Alizadeh, Behrooz Z | Chambers, John C | Guo, Xiuqing | Lehtimäki, Terho | Kühnel, Brigitte | Lopez, Lorna M | Polašek, Ozren | Boban, Mladen | Nelson, Christopher P | Morrison, Alanna C | Pihur, Vasyl | Ganesh, Santhi K | Hofman, Albert | Kundu, Suman | Mattace-Raso, Francesco US | Rivadeneira, Fernando | Sijbrands, Eric JG | Uitterlinden, Andre G | Hwang, Shih-Jen | Vasan, Ramachandran S | Wang, Thomas J | Bergmann, Sven | Vollenweider, Peter | Waeber, Gérard | Laitinen, Jaana | Pouta, Anneli | Zitting, Paavo | McArdle, Wendy L | Kroemer, Heyo K | Völker, Uwe | Völzke, Henry | Glazer, Nicole L | Taylor, Kent D | Harris, Tamara B | Alavere, Helene | Haller, Toomas | Keis, Aime | Tammesoo, Mari-Liis | Aulchenko, Yurii | Barroso, Inês | Khaw, Kay-Tee | Galan, Pilar | Hercberg, Serge | Lathrop, Mark | Eyheramendy, Susana | Org, Elin | Sõber, Siim | Lu, Xiaowen | Nolte, Ilja M | Penninx, Brenda W | Corre, Tanguy | Masciullo, Corrado | Sala, Cinzia | Groop, Leif | Voight, Benjamin F | Melander, Olle | O’Donnell, Christopher J | Salomaa, Veikko | d’Adamo, Adamo Pio | Fabretto, Antonella | Faletra, Flavio | Ulivi, Sheila | Del Greco, M Fabiola | Facheris, Maurizio | Collins, Francis S | Bergman, Richard N | Beilby, John P | Hung, Joseph | Musk, A William | Mangino, Massimo | Shin, So-Youn | Soranzo, Nicole | Watkins, Hugh | Goel, Anuj | Hamsten, Anders | Gider, Pierre | Loitfelder, Marisa | Zeginigg, Marion | Hernandez, Dena | Najjar, Samer S | Navarro, Pau | Wild, Sarah H | Corsi, Anna Maria | Singleton, Andrew | de Geus, Eco JC | Willemsen, Gonneke | Parker, Alex N | Rose, Lynda M | Buckley, Brendan | Stott, David | Orru, Marco | Uda, Manuela | van der Klauw, Melanie M | Zhang, Weihua | Li, Xinzhong | Scott, James | Chen, Yii-Der Ida | Burke, Gregory L | Kähönen, Mika | Viikari, Jorma | Döring, Angela | Meitinger, Thomas | Davies, Gail | Starr, John M | Emilsson, Valur | Plump, Andrew | Lindeman, Jan H | ’t Hoen, Peter AC | König, Inke R | Felix, Janine F | Clarke, Robert | Hopewell, Jemma C | Ongen, Halit | Breteler, Monique | Debette, Stéphanie | DeStefano, Anita L | Fornage, Myriam | Mitchell, Gary F | Smith, Nicholas L | Holm, Hilma | Stefansson, Kari | Thorleifsson, Gudmar | Thorsteinsdottir, Unnur | Samani, Nilesh J | Preuss, Michael | Rudan, Igor | Hayward, Caroline | Deary, Ian J | Wichmann, H-Erich | Raitakari, Olli T | Palmas, Walter | Kooner, Jaspal S | Stolk, Ronald P | Jukema, J Wouter | Wright, Alan F | Boomsma, Dorret I | Bandinelli, Stefania | Gyllensten, Ulf B | Wilson, James F | Ferrucci, Luigi | Schmidt, Reinhold | Farrall, Martin | Spector, Tim D | Palmer, Lyle J | Tuomilehto, Jaakko | Pfeufer, Arne | Gasparini, Paolo | Siscovick, David | Altshuler, David | Loos, Ruth JF | Toniolo, Daniela | Snieder, Harold | Gieger, Christian | Meneton, Pierre | Wareham, Nicholas J | Oostra, Ben A | Metspalu, Andres | Launer, Lenore | Rettig, Rainer | Strachan, David P | Beckmann, Jacques S | Witteman, Jacqueline CM | Erdmann, Jeanette | van Dijk, Ko Willems | Boerwinkle, Eric | Boehnke, Michael | Ridker, Paul M | Jarvelin, Marjo-Riitta | Chakravarti, Aravinda | Abecasis, Goncalo R | Gudnason, Vilmundur | Newton-Cheh, Christopher | Levy, Daniel | Munroe, Patricia B | Psaty, Bruce M | Caulfield, Mark J | Rao, Dabeeru C | Tobin, Martin D | Elliott, Paul | van Duijn, Cornelia M
Nature genetics  2011;43(10):1005-1011.
Numerous genetic loci influence systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans 1-3. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N=74,064) and follow-up studies (N=48,607), we identified at genome-wide significance (P= 2.7×10-8 to P=2.3×10-13) four novel PP loci (at 4q12 near CHIC2/PDGFRAI, 7q22.3 near PIK3CG, 8q24.12 in NOV, 11q24.3 near ADAMTS-8), two novel MAP loci (3p21.31 in MAP4, 10q25.3 near ADRB1) and one locus associated with both traits (2q24.3 near FIGN) which has recently been associated with SBP in east Asians. For three of the novel PP signals, the estimated effect for SBP was opposite to that for DBP, in contrast to the majority of common SBP- and DBP-associated variants which show concordant effects on both traits. These findings indicate novel genetic mechanisms underlying blood pressure variation, including pathways that may differentially influence SBP and DBP.
doi:10.1038/ng.922
PMCID: PMC3445021  PMID: 21909110
13.  Genomewide linkage study of modifiers of LRRK2-related Parkinson’s disease 
Movement Disorders  2011;26(11):2039-2044.
Background
Mutations in the leucine-rich repeat kinase 2 gene (LRRK2), located at 12q12, are the most common known genetic causes of Parkinson’s disease (PD). Studies of LRRK2 mutation carriers have shown incomplete and age-dependent penetrance and previous studies have suggested that inherited susceptibility factors may modify the penetrance of LRRK2 mutations.
Methods
Genomewide linkage to age of onset of LRRK2-related PD was evaluated in a sample of 113 LRRK2 mutation carriers from 64 families using single nucleotide polymorphism data from the Illumina HumanCNV370 genotyping array. Association between onset age and SNPs located under suggestive linkage peaks was also evaluated.
Results
The top LOD-score for onset age (LOD-score=2.43) was located in the chromosome 1q32.1 region. Moderate linkage to onset was also identified at 16q12.1 (LOD-score=1.58). Examination of single nucleotide polymorphism association to PD onset under the linkage peaks revealed no statistically significant SNP associations.
Conclusions
The two novel genomic regions identified may harbor modifiers of LRRK2-related PD onset age or penetrance and further study of these regions may provide important insight into LRRK2-related PD.
doi:10.1002/mds.23781
PMCID: PMC3346677  PMID: 21661047
Parkinson’s Disease; LRRK2; Linkage
14.  Genome-wide association studies of cerebral white matter lesion burden: the CHARGE Consortium 
Annals of neurology  2011;69(6):928-939.
Objective
White matter hyperintensities (WMH) detectable by magnetic resonance imaging (MRI)are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMH are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified.
Methods
We performed a meta-analysis of genome-wide association studies (GWAS) for WMH burden in 9,361 stroke-free individuals of European descent from 7 community-based cohorts. Significant findings were tested for replication in 3,024 individuals from 2 additional cohorts.
Results
We identified 6 novel risk-associated single nucleotide polymorphisms (SNPs)in one locus on chromosome 17q25 encompassing 6 known genes including WBP2, TRIM65, TRIM47, MRPL38, FBF1, and ACOX1. The most significant association was for rs3744028 (Pdiscovery= 4.0×10−9; Preplication =1.3×10−7; Pcombined =4.0×10−15). Other SNPs in this region also reaching genome-wide significance are rs9894383 (P=5.3×10−9), rs11869977 (P=5.7×10−9), rs936393 (P=6.8×10−9), rs3744017 (P=7.3×10−9), and rs1055129 (P=4.1×10−8). Variant alleles at these loci conferred a small increase in WMH burden (4–8% of the overall mean WMH burden in the sample).
Interpretation
This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. Further characterization of this locus may provide novel insights into the pathogenesis of cerebral WMH.
doi:10.1002/ana.22403
PMCID: PMC3122147  PMID: 21681796
15.  Comprehensive Research Synopsis and Systematic Meta-Analyses in Parkinson's Disease Genetics: The PDGene Database 
PLoS Genetics  2012;8(3):e1002548.
More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensively collects and meta-analyzes all published studies in the field. A systematic literature screen of ∼27,000 articles yielded 828 eligible articles from which relevant data were extracted. In addition, individual-level data from three publicly available genome-wide association studies (GWAS) were obtained and subjected to genotype imputation and analysis. Overall, we performed meta-analyses on more than seven million polymorphisms originating either from GWAS datasets and/or from smaller scale PD association studies. Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls. Eleven loci showed genome-wide significant (P<5×10−8) association with disease risk: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, and SYT11/RAB25. In addition, we identified novel evidence for genome-wide significant association with a polymorphism in ITGA8 (rs7077361, OR 0.88, P = 1.3×10−8). All meta-analysis results are freely available on a dedicated online database (www.pdgene.org), which is cross-linked with a customized track on the UCSC Genome Browser. Our study provides an exhaustive and up-to-date summary of the status of PD genetics research that can be readily scaled to include the results of future large-scale genetics projects, including next-generation sequencing studies.
Author Summary
The genetic basis of Parkinson's disease is complex, i.e. it is determined by a number of different disease-causing and disease-predisposing genes. Especially the latter have proven difficult to find, evidenced by more than 800 published genetic association studies, typically showing discrepant results. To facilitate the interpretation of this large and continuously increasing body of data, we have created a freely available online database (“PDGene”: http://www.pdgene.org) which provides an exhaustive account of all published genetic association studies in PD. One particularly useful feature is the calculation and display of up-to-date summary statistics of published data for overlapping DNA sequence variants (polymorphisms). These meta-analyses revealed eleven gene loci that showed a statistically very significant (P<5×10−8; a.k.a. genome-wide significance) association with risk for PD: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, SYT11/RAB25. In addition and purely by data-mining, we identified one novel PD susceptibility locus in a gene called ITGA8 (rs7077361, P = 1.3×10−8). We note that our continuously updated database represents the most comprehensive research synopsis of genetic association studies in PD to date. In addition to vastly facilitating the work of other PD geneticists, our approach may serve as a valuable example for other complex diseases.
doi:10.1371/journal.pgen.1002548
PMCID: PMC3305333  PMID: 22438815
16.  Postmortem Interval Influences α-Synuclein Expression in Parkinson Disease Brain 
Parkinson's Disease  2012;2012:614212.
Duplications and triplications of the α-synuclein (SNCA) gene increase risk for PD, suggesting increased expression levels of the gene to be associated with increased PD risk. However, past SNCA expression studies in brain tissue report inconsistent results. We examined expression of the full-length SNCA transcript (140 amino acid protein isoform), as well as total SNCA mRNA levels in 165 frontal cortex samples (101 PD, 64 control) using quantitative real-time polymerase chain reaction. Additionally, we evaluated the relationship of eight SNPs in both 5′ and 3′ regions of SNCA with the gene expression levels. The association between postmortem interval (PMI) and SNCA expression was different for PD and control samples: SNCA expression decreased with increasing PMI in cases, while staying relatively constant in controls. For short PMI, SNCA expression was increased in PD relative to control samples, whereas for long PMI, SNCA expression in PD was decreased relative to control samples.
doi:10.1155/2012/614212
PMCID: PMC3317023  PMID: 22530163
17.  Identifying rare variants from exome scans: the GAW17 experience 
BMC Proceedings  2011;5(Suppl 9):S1.
Genetic Analysis Workshop 17 (GAW17) provided a platform for evaluating existing statistical genetic methods and for developing novel methods to analyze rare variants that modulate complex traits. In this article, we present an overview of the 1000 Genomes Project exome data and simulated phenotype data that were distributed to GAW17 participants for analyses, the different issues addressed by the participants, and the process of preparation of manuscripts resulting from the discussions during the workshop.
doi:10.1186/1753-6561-5-S9-S1
PMCID: PMC3287821  PMID: 22373325
18.  Pathway analysis following association study 
BMC Proceedings  2011;5(Suppl 9):S18.
Genome-wide association studies often emphasize single-nucleotide polymorphisms with the smallest p-values with less attention given to single-nucleotide polymorphisms not ranked near the top. We suggest that gene pathways contain valuable information that can enable identification of additional associations. We used gene set information to identify disease-related pathways using three methods: gene set enrichment analysis (GSEA), empirical enrichment p-values, and Ingenuity pathway analysis (IPA). Association tests were performed for common single-nucleotide polymorphisms and aggregated rare variants with traits Q1 and Q4. These pathway methods were evaluated by type I error, power, and the ranking of the VEGF pathway, the gene set used in the simulation model. GSEA and IPA had high power for detecting the VEGF pathway for trait Q1 (91.2% and 93%, respectively). These two methods were conservative with deflated type I errors (0.0083 and 0.0072, respectively). The VEGF pathway ranked 1 or 2 in 123 of 200 replicates using IPA and ranked among the top 5 in 114 of 200 replicates for GSEA. The empirical enrichment method had lower power and higher type I error. Thus pathway analysis approaches may be useful in identifying biological pathways that influence disease outcomes.
doi:10.1186/1753-6561-5-S9-S18
PMCID: PMC3287852  PMID: 22373100
19.  Common variants in ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer’s disease 
Hollingworth, Paul | Harold, Denise | Sims, Rebecca | Gerrish, Amy | Lambert, Jean-Charles | Carrasquillo, Minerva M | Abraham, Richard | Hamshere, Marian L | Pahwa, Jaspreet Singh | Moskvina, Valentina | Dowzell, Kimberley | Jones, Nicola | Stretton, Alexandra | Thomas, Charlene | Richards, Alex | Ivanov, Dobril | Widdowson, Caroline | Chapman, Jade | Lovestone, Simon | Powell, John | Proitsi, Petroula | Lupton, Michelle K | Brayne, Carol | Rubinsztein, David C | Gill, Michael | Lawlor, Brian | Lynch, Aoibhinn | Brown, Kristelle S | Passmore, Peter A | Craig, David | McGuinness, Bernadette | Todd, Stephen | Holmes, Clive | Mann, David | Smith, A David | Beaumont, Helen | Warden, Donald | Wilcock, Gordon | Love, Seth | Kehoe, Patrick G | Hooper, Nigel M | Vardy, Emma R. L. C. | Hardy, John | Mead, Simon | Fox, Nick C | Rossor, Martin | Collinge, John | Maier, Wolfgang | Jessen, Frank | Schürmann, Britta | Rüther, Eckart | Heun, Reiner | Kölsch, Heike | van den Bussche, Hendrik | Heuser, Isabella | Kornhuber, Johannes | Wiltfang, Jens | Dichgans, Martin | Frölich, Lutz | Hampel, Harald | Hüll, Michael | Gallacher, John | Rujescu, Dan | Giegling, Ina | Goate, Alison M | Kauwe, John S K | Cruchaga, Carlos | Nowotny, Petra | Morris, John C | Mayo, Kevin | Sleegers, Kristel | Bettens, Karolien | Engelborghs, Sebastiaan | De Deyn, Peter P | Van Broeckhoven, Christine | Livingston, Gill | Bass, Nicholas J | Gurling, Hugh | McQuillin, Andrew | Gwilliam, Rhian | Deloukas, Panagiotis | Al-Chalabi, Ammar | Shaw, Christopher E | Tsolaki, Magda | Singleton, Andrew B | Guerreiro, Rita | Mühleisen, Thomas W | Nöthen, Markus M | Moebus, Susanne | Jöckel, Karl-Heinz | Klopp, Norman | Wichmann, H-Erich | Pankratz, V Shane | Sando, Sigrid B | Aasly, Jan O | Barcikowska, Maria | Wszolek, Zbigniew K | Dickson, Dennis W | Graff-Radford, Neill R | Petersen, Ronald C | van Duijn, Cornelia M | Breteler, Monique MB | Ikram, M Arfan | DeStefano, Anita L | Fitzpatrick, Annette L | Lopez, Oscar | Launer, Lenore J | Seshadri, Sudha | Berr, Claudine | Campion, Dominique | Epelbaum, Jacques | Dartigues, Jean-François | Tzourio, Christophe | Alpérovitch, Annick | Lathrop, Mark | Feulner, Thomas M | Friedrich, Patricia | Riehle, Caterina | Krawczak, Michael | Schreiber, Stefan | Mayhaus, Manuel | Nicolhaus, S | Wagenpfeil, Stefan | Steinberg, Stacy | Stefansson, Hreinn | Stefansson, Kari | Snædal, Jon | Björnsson, Sigurbjörn | Jonsson, Palmi V. | Chouraki, Vincent | Genier-Boley, Benjamin | Hiltunen, Mikko | Soininen, Hilkka | Combarros, Onofre | Zelenika, Diana | Delepine, Marc | Bullido, Maria J | Pasquier, Florence | Mateo, Ignacio | Frank-Garcia, Ana | Porcellini, Elisa | Hanon, Olivier | Coto, Eliecer | Alvarez, Victoria | Bosco, Paolo | Siciliano, Gabriele | Mancuso, Michelangelo | Panza, Francesco | Solfrizzi, Vincenzo | Nacmias, Benedetta | Sorbi, Sandro | Bossù, Paola | Piccardi, Paola | Arosio, Beatrice | Annoni, Giorgio | Seripa, Davide | Pilotto, Alberto | Scarpini, Elio | Galimberti, Daniela | Brice, Alexis | Hannequin, Didier | Licastro, Federico | Jones, Lesley | Holmans, Peter A | Jonsson, Thorlakur | Riemenschneider, Matthias | Morgan, Kevin | Younkin, Steven G | Owen, Michael J | O’Donovan, Michael | Amouyel, Philippe | Williams, Julie
Nature genetics  2011;43(5):429-435.
We sought to identify new susceptibility loci for Alzheimer’s disease (AD) through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer’s Disease Genetic Consortium (ADGC). First, we undertook a combined analysis of four genome-wide association datasets (Stage 1) and identified 10 novel variants with P≤1×10−5. These were tested for association in an independent sample (Stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (Stage 3). Meta-analyses of all data provide compelling evidence that ABCA7 (meta-P 4.5×10−17; including ADGC meta-P=5.0×10−21) and the MS4A gene cluster (rs610932, meta-P=1.8×10−14; including ADGC meta-P=1.2×10−16; rs670139, meta-P=1.4×10−9; including ADGC meta-P=1.1×10−10) are novel susceptibility loci for AD. Second, we observed independent evidence for association for three suggestive loci reported by the ADGC GWAS, which when combined shows genome-wide significance: CD2AP (GERAD+ P=8.0×10−4; including ADGC meta-P=8.6×10−9), CD33 (GERAD+ P=2.2×10−4; including ADGC meta-P=1.6×10−9) and EPHA1 (GERAD+ P=3.4×10−4; including ADGC meta-P=6.0×10−10). These findings support five novel susceptibility genes for AD.
doi:10.1038/ng.803
PMCID: PMC3084173  PMID: 21460840
20.  Copy Number Variation in Familial Parkinson Disease 
PLoS ONE  2011;6(8):e20988.
Copy number variants (CNVs) are known to cause Mendelian forms of Parkinson disease (PD), most notably in SNCA and PARK2. PARK2 has a recessive mode of inheritance; however, recent evidence demonstrates that a single CNV in PARK2 (but not a single missense mutation) may increase risk for PD. We recently performed a genome-wide association study for PD that excluded individuals known to have either a LRRK2 mutation or two PARK2 mutations. Data from the Illumina370Duo arrays were re-clustered using only white individuals with high quality intensity data, and CNV calls were made using two algorithms, PennCNV and QuantiSNP. After quality assessment, the final sample included 816 cases and 856 controls. Results varied between the two CNV calling algorithms for many regions, including the PARK2 locus (genome-wide p = 0.04 for PennCNV and p = 0.13 for QuantiSNP). However, there was consistent evidence with both algorithms for two novel genes, USP32 and DOCK5 (empirical, genome-wide p-values<0.001). PARK2 CNVs tended to be larger, and all instances that were molecularly tested were validated. In contrast, the CNVs in both novel loci were smaller and failed to replicate using real-time PCR, MLPA, and gel electrophoresis. The DOCK5 variation is more akin to a VNTR than a typical CNV and the association is likely caused by artifact due to DNA source. DNA for all the cases was derived from whole blood, while the DNA for all controls was derived from lymphoblast cell lines. The USP32 locus contains many SNPs with low minor allele frequency leading to a loss of heterozygosity that may have been spuriously interpreted by the CNV calling algorithms as support for a deletion. Thus, only the CNVs within the PARK2 locus could be molecularly validated and associated with PD susceptibility.
doi:10.1371/journal.pone.0020988
PMCID: PMC3149037  PMID: 21829596
21.  Genome-wide Analysis of Genetic Loci Associated with Alzheimer’s Disease 
Context
Genome wide association studies (GWAS) have recently identified CLU, PICALM and CR1 as novel genes for late-onset Alzheimer’s disease (AD).
Objective
In a three-stage analysis of new and previously published GWAS on over 35000 persons (8371 AD cases), we sought to identify and strengthen additional loci associated with AD and confirm these in an independent sample. We also examined the contribution of recently identified genes to AD risk prediction.
Design, Setting, and Participants
We identified strong genetic associations (p<10−3) in a Stage 1 sample of 3006 AD cases and 14642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (1367 AD cases (973 incident)) with previously reported results from the Translational Genomics Research Institute (TGEN) and Mayo AD GWAS. We identified 2708 single nucleotide polymorphisms (SNPs) with p-values<10−3, and in Stage 2 pooled results for these SNPs with the European AD Initiative (2032 cases, 5328 controls) to identify ten loci with p-values<10−5. In Stage 3, we combined data for these ten loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases, 6995 controls) to identify four SNPs with a p-value<1.7×10−8. These four SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls).
Main outcome measure
Alzheimer’s Disease.
Results
We showed genome-wide significance for two new loci: rs744373 near BIN1 (OR:1.13; 95%CI:1.06–1.21 per copy of the minor allele; p=1.6×10−11) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR:1.18; 95%CI1.07–1.29; p=6.5×10−9). Associations of CLU, PICALM, BIN1 and EXOC3L2 with AD were confirmed in the Spanish sample (p<0.05). However, CLU and PICALM did not improve incident AD prediction beyond age, sex, and APOE (improvement in area under receiver-operating-characteristic curve <0.003).
Conclusions
Two novel genetic loci for AD are reported that for the first time reach genome-wide statistical significance; these findings were replicated in an independent population. Two recently reported associations were also confirmed, but these loci did not improve AD risk prediction, although they implicate biological pathways that may be useful targets for potential interventions.
doi:10.1001/jama.2010.574
PMCID: PMC2989531  PMID: 20460622
genome-wide association study; genetic epidemiology; genetics; dementia; Alzheimer’s disease; cohort study; meta-analysis; risk
22.  Parental Occurrence Of Stroke And Risk Of Stroke In Their Children: The Framingham Study 
Circulation  2010;121(11):1304-1312.
Background
Data relating parental history of stroke to stroke risk in offspring remain surprisingly inconsistent, largely due to heterogeneity of study design, and the absence of verified, as opposed to historical, data on parental stroke status.
Methods and Results
We determined if prospectively verified parental occurrence of stroke increased incident stroke risk among offspring in a community-based sample by studying 3443 stroke-free Framingham Offspring (53% female, mean age 48±14 years) with verified parental stroke status (by age 65 years), who attended the 1st, 3rd, 5th and/or 7th Offspring examinations, and were followed for up to 8 years after each baseline examination. Over up to 11,029 such person-observation periods (77,534 person-years), we documented 106 parental strokes by age 65, and 128 offspring strokes (74 parental and 106 offspring strokes were ischemic). Using multivariable Cox models, adjusted for age-, sex-, sib-ship and baseline stroke risk factors, we observed that parental stroke, both all-stroke generally, and ischemic stroke specifically, was associated with an increased risk of incident stroke of the same type in the offspring (HR 2.79, 95% CI: 1.68–4.66; p<0.001 for all stroke, and HR 3.15, 95% CI: 1.69–5.88; p<0.001 for ischemic stroke). This was true for both maternal and paternal stroke.
Conclusion
Documented parental stroke by age 65 years was associated with a three-fold increase in risk of offspring stroke. This increased risk persisted after adjustment for conventional stroke risk factors. Thus, verified parental stroke may serve as a clinically useful risk marker of an individual’s propensity to stroke.
doi:10.1161/CIRCULATIONAHA.109.854240
PMCID: PMC2860311  PMID: 20212282
stroke; ischemic stroke; heredity; familial aggregation
23.  Genome-wide Association Studies of MRI-defined Brain Infarcts: Meta-analysis from the CHARGE Consortium 
Background
Previous studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI-infarct, in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.
Methods
Using 2.2 million genotyped and imputed SNPs, each study performed cross-sectional genome-wide association analysis of MRI-infarct using age and sex-adjusted logistic regression models. Study-specific findings were combined in an inverse-variance weighted meta-analysis, including 9401 participants with mean age 69.7, 19.4% of whom had ≥1 MRI-infarct.
Results
The most significant association was found with rs2208454 (minor allele frequency: 20%), located in intron 3 of MACRO Domain Containing 2 gene and in the downstream region of Fibronectin Leucine Rich Transmembrane Protein 3 gene. Each copy of the minor allele was associated with lower risk of MRI-infarcts: odds ratio=0.76, 95% confidence interval=0.68–0.84, p=4.64×10−7. Highly suggestive associations (p<1.0×10−5) were also found for 22 other SNPs in linkage disequilibrium (r2>0.64) with rs2208454. The association with rs2208454 did not replicate in independent samples of 1822 white and 644 African-American participants, although 4 SNPs within 200kb from rs2208454 were associated with MRI-infarcts in African-American sample.
Conclusions
This first community-based, genome-wide association study on covert MRI-infarcts uncovered novel associations. Although replication of the association with top SNP failed, possibly due to insufficient power, results in the African American sample are encouraging, and further efforts at replication are needed.
doi:10.1161/STROKEAHA.109.569194
PMCID: PMC2923092  PMID: 20044523
genome-wide association study; brain infarction; MRI; cohort study; meta-analysis
24.  Estrogen-related and other disease diagnoses preceding Parkinson’s disease 
Clinical Epidemiology  2010;2:153-170.
Purpose:
Estrogen exposure has been associated with the occurrence of Parkinson’s disease (PD), as well as many other disorders, and yet the mechanisms underlying these relations are often unknown. While it is likely that estrogen exposure modifies the risk of various diseases through many different mechanisms, some estrogen-related disease processes might work in similar manners and result in association between the diseases. Indeed, the association between diseases need not be due only to estrogen-related factors, but due to similar disease processes from a variety of mechanisms.
Patients and methods:
All female Parkinson’s disease cases between 1982 and 2007 (n = 12,093) were identified from the Danish National Registry of Patients, along with 10 controls matched by years of birth and enrollment. Conditional logistic regressions (CLR) were used to calculate risk of PD after diagnosis of the estrogen-related diseases, endometriosis and osteoporosis, conditioning on years of birth and enrollment. To identify novel associations between PD and any other preceding conditions, CLR was also used to calculate the odds ratios (ORs) for risk of PD for 202 different categories of preceding disease diagnoses. Empirical Bayes methods were used to identify the robust associations from the over 200 associations produced by this analysis.
Results:
We found a positive association between osteoporosis and osteoporotic fractures and PD (OR = 1.18, 95% confidence interval [CI] of 1.08–1.28), while a lack of association was observed between endometriosis and PD (OR = 1.37, 95% CI 0.99–1.90). Using empirical Bayes analyses, 24 additional categories of diseases, likely unrelated to estrogen exposure, were also identified as potentially associated with PD.
Conclusion:
We identified several novel associations, which may provide insight into common causal mechanisms between the diseases or greater understanding of potential early preclinical signs of PD. In particular, the associations with several categories of mental disorders suggest that these may be early warning signs of PD onset or these diseases (or the causes of these diseases) may predispose to PD.
PMCID: PMC2943181  PMID: 20865113
Parkinson’s disease; estrogen; osteoporosis; endometriosis; empirical bayes
25.  Genomewide Association Studies of Stroke 
The New England journal of medicine  2009;360(17):1718-1728.
BACKGROUND
The genes underlying the risk of stroke in the general population remain undetermined.
METHODS
We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [±SD] age, 63±8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons.
RESULTS
Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5×10−8). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95% confidence interval [CI], 1.19 to 1.42) and 1.33 (95% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11% and 12% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95% CI, 1.01 to 1.79; P = 0.04) and 1.42 (95% CI, 1.06 to 1.91; P=0.02) in the large cohort of black persons and 1.17 (95% CI, 1.01 to 1.37; P = 0.03) and 1.19 (95% CI, 1.01 to 1.41; P = 0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant.
CONCLUSIONS
A genetic locus on chromosome 12p13 is associated with an increased risk of stroke.
doi:10.1056/NEJMoa0900094
PMCID: PMC2768348  PMID: 19369658

Results 1-25 (40)