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1.  A Genome-Wide Association Study of Depressive Symptoms 
Hek, Karin | Demirkan, Ayse | Lahti, Jari | Terracciano, Antonio | Teumer, Alexander | Cornelis, Marilyn C. | Amin, Najaf | Bakshis, Erin | Baumert, Jens | Ding, Jingzhong | Liu, Yongmei | Marciante, Kristin | Meirelles, Osorio | Nalls, Michael A. | Sun, Yan V. | Vogelzangs, Nicole | Yu, Lei | Bandinelli, Stefania | Benjamin, Emelia J. | Bennett, David A. | Boomsma, Dorret | Cannas, Alessandra | Coker, Laura H. | de Geus, Eco | De Jager, Philip L. | Diez-Roux, Ana V. | Purcell, Shaun | Hu, Frank B. | Rimma, Eric B. | Hunter, David J. | Jensen, Majken K. | Curhan, Gary | Rice, Kenneth | Penman, Alan D. | Rotter, Jerome I. | Sotoodehnia, Nona | Emeny, Rebecca | Eriksson, Johan G. | Evans, Denis A. | Ferrucci, Luigi | Fornage, Myriam | Gudnason, Vilmundur | Hofman, Albert | Illig, Thomas | Kardia, Sharon | Kelly-Hayes, Margaret | Koenen, Karestan | Kraft, Peter | Kuningas, Maris | Massaro, Joseph M. | Melzer, David | Mulas, Antonella | Mulder, Cornelis L. | Murray, Anna | Oostra, Ben A. | Palotie, Aarno | Penninx, Brenda | Petersmann, Astrid | Pilling, Luke C. | Psaty, Bruce | Rawal, Rajesh | Reiman, Eric M. | Schulz, Andrea | Shulman, Joshua M. | Singleton, Andrew B. | Smith, Albert V. | Sutin, Angelina R. | Uitterlinden, André G. | Völzke, Henry | Widen, Elisabeth | Yaffe, Kristine | Zonderman, Alan B. | Cucca, Francesco | Harris, Tamara | Ladwig, Karl-Heinz | Llewellyn, David J. | Räikkönen, Katri | Tanaka, Toshiko | van Duijn, Cornelia M. | Grabe, Hans J. | Launer, Lenore J. | Lunetta, Kathryn L. | Mosley, Thomas H. | Newman, Anne B. | Tiemeier, Henning | Murabito, Joanne
Biological psychiatry  2013;73(7):10.1016/j.biopsych.2012.09.033.
Background
Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.
Methods
In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p < 1 × 10−5) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.
Results
The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05 × 10−7). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19 × 10−3). This 5q21 region reached genome-wide significance (p = 4.78 × 10−8) in the overall meta-analysis combining discovery and replication studies (n = 51,258).
Conclusions
The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.
doi:10.1016/j.biopsych.2012.09.033
PMCID: PMC3845085  PMID: 23290196
Center for Epidemiologic Studies Depression Scale; CHARGE consortium; depression; depressive symptoms; genetics; genome-wide association study; meta-analysis
2.  Identification of heart rate–associated loci and their effects on cardiac conduction and rhythm disorders 
den Hoed, Marcel | Eijgelsheim, Mark | Esko, Tõnu | Brundel, Bianca J J M | Peal, David S | Evans, David M | Nolte, Ilja M | Segrè, Ayellet V | Holm, Hilma | Handsaker, Robert E | Westra, Harm-Jan | Johnson, Toby | Isaacs, Aaron | Yang, Jian | Lundby, Alicia | Zhao, Jing Hua | Kim, Young Jin | Go, Min Jin | Almgren, Peter | Bochud, Murielle | Boucher, Gabrielle | Cornelis, Marilyn C | Gudbjartsson, Daniel | Hadley, David | Van Der Harst, Pim | Hayward, Caroline | Heijer, Martin Den | Igl, Wilmar | Jackson, Anne U | Kutalik, Zoltán | Luan, Jian’an | Kemp, John P | Kristiansson, Kati | Ladenvall, Claes | Lorentzon, Mattias | Montasser, May E | Njajou, Omer T | O’Reilly, Paul F | Padmanabhan, Sandosh | Pourcain, Beate St. | Rankinen, Tuomo | Salo, Perttu | Tanaka, Toshiko | Timpson, Nicholas J | Vitart, Veronique | Waite, Lindsay | Wheeler, William | Zhang, Weihua | Draisma, Harmen H M | Feitosa, Mary F | Kerr, Kathleen F | Lind, Penelope A | Mihailov, Evelin | Onland-Moret, N Charlotte | Song, Ci | Weedon, Michael N | Xie, Weijia | Yengo, Loic | Absher, Devin | Albert, Christine M | Alonso, Alvaro | Arking, Dan E | de Bakker, Paul I W | Balkau, Beverley | Barlassina, Cristina | Benaglio, Paola | Bis, Joshua C | Bouatia-Naji, Nabila | Brage, Søren | Chanock, Stephen J | Chines, Peter S | Chung, Mina | Darbar, Dawood | Dina, Christian | Dörr, Marcus | Elliott, Paul | Felix, Stephan B | Fischer, Krista | Fuchsberger, Christian | de Geus, Eco J C | Goyette, Philippe | Gudnason, Vilmundur | Harris, Tamara B | Hartikainen, Anna-liisa | Havulinna, Aki S | Heckbert, Susan R | Hicks, Andrew A | Hofman, Albert | Holewijn, Suzanne | Hoogstra-Berends, Femke | Hottenga, Jouke-Jan | Jensen, Majken K | Johansson, Åsa | Junttila, Juhani | Kääb, Stefan | Kanon, Bart | Ketkar, Shamika | Khaw, Kay-Tee | Knowles, Joshua W | Kooner, Angrad S | Kors, Jan A | Kumari, Meena | Milani, Lili | Laiho, Päivi | Lakatta, Edward G | Langenberg, Claudia | Leusink, Maarten | Liu, Yongmei | Luben, Robert N | Lunetta, Kathryn L | Lynch, Stacey N | Markus, Marcello R P | Marques-Vidal, Pedro | Leach, Irene Mateo | McArdle, Wendy L | McCarroll, Steven A | Medland, Sarah E | Miller, Kathryn A | Montgomery, Grant W | Morrison, Alanna C | Müller-Nurasyid, Martina | Navarro, Pau | Nelis, Mari | O’Connell, Jeffrey R | O’Donnell, Christopher J | Ong, Ken K | Newman, Anne B | Peters, Annette | Polasek, Ozren | Pouta, Anneli | Pramstaller, Peter P | Psaty, Bruce M | Rao, Dabeeru C | Ring, Susan M | Rossin, Elizabeth J | Rudan, Diana | Sanna, Serena | Scott, Robert A | Sehmi, Jaban S | Sharp, Stephen | Shin, Jordan T | Singleton, Andrew B | Smith, Albert V | Soranzo, Nicole | Spector, Tim D | Stewart, Chip | Stringham, Heather M | Tarasov, Kirill V | Uitterlinden, André G | Vandenput, Liesbeth | Hwang, Shih-Jen | Whitfield, John B | Wijmenga, Cisca | Wild, Sarah H | Willemsen, Gonneke | Wilson, James F | Witteman, Jacqueline C M | Wong, Andrew | Wong, Quenna | Jamshidi, Yalda | Zitting, Paavo | Boer, Jolanda M A | Boomsma, Dorret I | Borecki, Ingrid B | Van Duijn, Cornelia M | Ekelund, Ulf | Forouhi, Nita G | Froguel, Philippe | Hingorani, Aroon | Ingelsson, Erik | Kivimaki, Mika | Kronmal, Richard A | Kuh, Diana | Lind, Lars | Martin, Nicholas G | Oostra, Ben A | Pedersen, Nancy L | Quertermous, Thomas | Rotter, Jerome I | van der Schouw, Yvonne T | Verschuren, W M Monique | Walker, Mark | Albanes, Demetrius | Arnar, David O | Assimes, Themistocles L | Bandinelli, Stefania | Boehnke, Michael | de Boer, Rudolf A | Bouchard, Claude | Caulfield, W L Mark | Chambers, John C | Curhan, Gary | Cusi, Daniele | Eriksson, Johan | Ferrucci, Luigi | van Gilst, Wiek H | Glorioso, Nicola | de Graaf, Jacqueline | Groop, Leif | Gyllensten, Ulf | Hsueh, Wen-Chi | Hu, Frank B | Huikuri, Heikki V | Hunter, David J | Iribarren, Carlos | Isomaa, Bo | Jarvelin, Marjo-Riitta | Jula, Antti | Kähönen, Mika | Kiemeney, Lambertus A | van der Klauw, Melanie M | Kooner, Jaspal S | Kraft, Peter | Iacoviello, Licia | Lehtimäki, Terho | Lokki, Marja-Liisa L | Mitchell, Braxton D | Navis, Gerjan | Nieminen, Markku S | Ohlsson, Claes | Poulter, Neil R | Qi, Lu | Raitakari, Olli T | Rimm, Eric B | Rioux, John D | Rizzi, Federica | Rudan, Igor | Salomaa, Veikko | Sever, Peter S | Shields, Denis C | Shuldiner, Alan R | Sinisalo, Juha | Stanton, Alice V | Stolk, Ronald P | Strachan, David P | Tardif, Jean-Claude | Thorsteinsdottir, Unnur | Tuomilehto, Jaako | van Veldhuisen, Dirk J | Virtamo, Jarmo | Viikari, Jorma | Vollenweider, Peter | Waeber, Gérard | Widen, Elisabeth | Cho, Yoon Shin | Olsen, Jesper V | Visscher, Peter M | Willer, Cristen | Franke, Lude | Erdmann, Jeanette | Thompson, John R | Pfeufer, Arne | Sotoodehnia, Nona | Newton-Cheh, Christopher | Ellinor, Patrick T | Stricker, Bruno H Ch | Metspalu, Andres | Perola, Markus | Beckmann, Jacques S | Smith, George Davey | Stefansson, Kari | Wareham, Nicholas J | Munroe, Patricia B | Sibon, Ody C M | Milan, David J | Snieder, Harold | Samani, Nilesh J | Loos, Ruth J F
Nature genetics  2013;45(6):621-631.
Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a role for genes involved in signal transmission, embryonic cardiac development and the pathophysiology of dilated cardiomyopathy, congenital heart failure and/or sudden cardiac death. In addition, genetic susceptibility to increased heart rate is associated with altered cardiac conduction and reduced risk of sick sinus syndrome, and both heart rate–increasing and heart rate–decreasing variants associate with risk of atrial fibrillation. Our findings provide fresh insights into the mechanisms regulating heart rate and identify new therapeutic targets.
doi:10.1038/ng.2610
PMCID: PMC3696959  PMID: 23583979
3.  Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes 
Morris, Andrew P | Voight, Benjamin F | Teslovich, Tanya M | Ferreira, Teresa | Segrè, Ayellet V | Steinthorsdottir, Valgerdur | Strawbridge, Rona J | Khan, Hassan | Grallert, Harald | Mahajan, Anubha | Prokopenko, Inga | Kang, Hyun Min | Dina, Christian | Esko, Tonu | Fraser, Ross M | Kanoni, Stavroula | Kumar, Ashish | Lagou, Vasiliki | Langenberg, Claudia | Luan, Jian'an | Lindgren, Cecilia M | Müller-Nurasyid, Martina | Pechlivanis, Sonali | Rayner, N William | Scott, Laura J | Wiltshire, Steven | Yengo, Loic | Kinnunen, Leena | Rossin, Elizabeth J | Raychaudhuri, Soumya | Johnson, Andrew D | Dimas, Antigone S | Loos, Ruth J F | Vedantam, Sailaja | Chen, Han | Florez, Jose C | Fox, Caroline | Liu, Ching-Ti | Rybin, Denis | Couper, David J | Kao, Wen Hong L | Li, Man | Cornelis, Marilyn C | Kraft, Peter | Sun, Qi | van Dam, Rob M | Stringham, Heather M | Chines, Peter S | Fischer, Krista | Fontanillas, Pierre | Holmen, Oddgeir L | Hunt, Sarah E | Jackson, Anne U | Kong, Augustine | Lawrence, Robert | Meyer, Julia | Perry, John RB | Platou, Carl GP | Potter, Simon | Rehnberg, Emil | Robertson, Neil | Sivapalaratnam, Suthesh | Stančáková, Alena | Stirrups, Kathleen | Thorleifsson, Gudmar | Tikkanen, Emmi | Wood, Andrew R | Almgren, Peter | Atalay, Mustafa | Benediktsson, Rafn | Bonnycastle, Lori L | Burtt, Noël | Carey, Jason | Charpentier, Guillaume | Crenshaw, Andrew T | Doney, Alex S F | Dorkhan, Mozhgan | Edkins, Sarah | Emilsson, Valur | Eury, Elodie | Forsen, Tom | Gertow, Karl | Gigante, Bruna | Grant, George B | Groves, Christopher J | Guiducci, Candace | Herder, Christian | Hreidarsson, Astradur B | Hui, Jennie | James, Alan | Jonsson, Anna | Rathmann, Wolfgang | Klopp, Norman | Kravic, Jasmina | Krjutškov, Kaarel | Langford, Cordelia | Leander, Karin | Lindholm, Eero | Lobbens, Stéphane | Männistö, Satu | Mirza, Ghazala | Mühleisen, Thomas W | Musk, Bill | Parkin, Melissa | Rallidis, Loukianos | Saramies, Jouko | Sennblad, Bengt | Shah, Sonia | Sigurðsson, Gunnar | Silveira, Angela | Steinbach, Gerald | Thorand, Barbara | Trakalo, Joseph | Veglia, Fabrizio | Wennauer, Roman | Winckler, Wendy | Zabaneh, Delilah | Campbell, Harry | van Duijn, Cornelia | Uitterlinden89-, Andre G | Hofman, Albert | Sijbrands, Eric | Abecasis, Goncalo R | Owen, Katharine R | Zeggini, Eleftheria | Trip, Mieke D | Forouhi, Nita G | Syvänen, Ann-Christine | Eriksson, Johan G | Peltonen, Leena | Nöthen, Markus M | Balkau, Beverley | Palmer, Colin N A | Lyssenko, Valeriya | Tuomi, Tiinamaija | Isomaa, Bo | Hunter, David J | Qi, Lu | Shuldiner, Alan R | Roden, Michael | Barroso, Ines | Wilsgaard, Tom | Beilby, John | Hovingh, Kees | Price, Jackie F | Wilson, James F | Rauramaa, Rainer | Lakka, Timo A | Lind, Lars | Dedoussis, George | Njølstad, Inger | Pedersen, Nancy L | Khaw, Kay-Tee | Wareham, Nicholas J | Keinanen-Kiukaanniemi, Sirkka M | Saaristo, Timo E | Korpi-Hyövälti, Eeva | Saltevo, Juha | Laakso, Markku | Kuusisto, Johanna | Metspalu, Andres | Collins, Francis S | Mohlke, Karen L | Bergman, Richard N | Tuomilehto, Jaakko | Boehm, Bernhard O | Gieger, Christian | Hveem, Kristian | Cauchi, Stephane | Froguel, Philippe | Baldassarre, Damiano | Tremoli, Elena | Humphries, Steve E | Saleheen, Danish | Danesh, John | Ingelsson, Erik | Ripatti, Samuli | Salomaa, Veikko | Erbel, Raimund | Jöckel, Karl-Heinz | Moebus, Susanne | Peters, Annette | Illig, Thomas | de Faire, Ulf | Hamsten, Anders | Morris, Andrew D | Donnelly, Peter J | Frayling, Timothy M | Hattersley, Andrew T | Boerwinkle, Eric | Melander, Olle | Kathiresan, Sekar | Nilsson, Peter M | Deloukas, Panos | Thorsteinsdottir, Unnur | Groop, Leif C | Stefansson, Kari | Hu, Frank | Pankow, James S | Dupuis, Josée | Meigs, James B | Altshuler, David | Boehnke, Michael | McCarthy, Mark I
Nature genetics  2012;44(9):981-990.
To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip involving 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two demonstrating sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of further common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signalling and cell cycle regulation, in diabetes pathogenesis.
doi:10.1038/ng.2383
PMCID: PMC3442244  PMID: 22885922
4.  Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes 
Morris, Andrew P | Voight, Benjamin F | Teslovich, Tanya M | Ferreira, Teresa | Segré, Ayellet V | Steinthorsdottir, Valgerdur | Strawbridge, Rona J | Khan, Hassan | Grallert, Harald | Mahajan, Anubha | Prokopenko, Inga | Kang, Hyun Min | Dina, Christian | Esko, Tonu | Fraser, Ross M | Kanoni, Stavroula | Kumar, Ashish | Lagou, Vasiliki | Langenberg, Claudia | Luan, Jian’an | Lindgren, Cecilia M | Müller-Nurasyid, Martina | Pechlivanis, Sonali | Rayner, N William | Scott, Laura J | Wiltshire, Steven | Yengo, Loic | Kinnunen, Leena | Rossin, Elizabeth J | Raychaudhuri, Soumya | Johnson, Andrew D | Dimas, Antigone S | Loos, Ruth J F | Vedantam, Sailaja | Chen, Han | Florez, Jose C | Fox, Caroline | Liu, Ching-Ti | Rybin, Denis | Couper, David J | Kao, Wen Hong L | Li, Man | Cornelis, Marilyn C | Kraft, Peter | Sun, Qi | van Dam, Rob M | Stringham, Heather M | Chines, Peter S | Fischer, Krista | Fontanillas, Pierre | Holmen, Oddgeir L | Hunt, Sarah E | Jackson, Anne U | Kong, Augustine | Lawrence, Robert | Meyer, Julia | Perry, John R B | Platou, Carl G P | Potter, Simon | Rehnberg, Emil | Robertson, Neil | Sivapalaratnam, Suthesh | Stančáková, Alena | Stirrups, Kathleen | Thorleifsson, Gudmar | Tikkanen, Emmi | Wood, Andrew R | Almgren, Peter | Atalay, Mustafa | Benediktsson, Rafn | Bonnycastle, Lori L | Burtt, Noël | Carey, Jason | Charpentier, Guillaume | Crenshaw, Andrew T | Doney, Alex S F | Dorkhan, Mozhgan | Edkins, Sarah | Emilsson, Valur | Eury, Elodie | Forsen, Tom | Gertow, Karl | Gigante, Bruna | Grant, George B | Groves, Christopher J | Guiducci, Candace | Herder, Christian | Hreidarsson, Astradur B | Hui, Jennie | James, Alan | Jonsson, Anna | Rathmann, Wolfgang | Klopp, Norman | Kravic, Jasmina | Krjutškov, Kaarel | Langford, Cordelia | Leander, Karin | Lindholm, Eero | Lobbens, Stéphane | Männistö, Satu | Mirza, Ghazala | Mühleisen, Thomas W | Musk, Bill | Parkin, Melissa | Rallidis, Loukianos | Saramies, Jouko | Sennblad, Bengt | Shah, Sonia | Sigurðsson, Gunnar | Silveira, Angela | Steinbach, Gerald | Thorand, Barbara | Trakalo, Joseph | Veglia, Fabrizio | Wennauer, Roman | Winckler, Wendy | Zabaneh, Delilah | Campbell, Harry | van Duijn, Cornelia | Uitterlinden, Andre G | Hofman, Albert | Sijbrands, Eric | Abecasis, Goncalo R | Owen, Katharine R | Zeggini, Eleftheria | Trip, Mieke D | Forouhi, Nita G | Syvänen, Ann-Christine | Eriksson, Johan G | Peltonen, Leena | Nöthen, Markus M | Balkau, Beverley | Palmer, Colin N A | Lyssenko, Valeriya | Tuomi, Tiinamaija | Isomaa, Bo | Hunter, David J | Qi, Lu | Shuldiner, Alan R | Roden, Michael | Barroso, Ines | Wilsgaard, Tom | Beilby, John | Hovingh, Kees | Price, Jackie F | Wilson, James F | Rauramaa, Rainer | Lakka, Timo A | Lind, Lars | Dedoussis, George | Njølstad, Inger | Pedersen, Nancy L | Khaw, Kay-Tee | Wareham, Nicholas J | Keinanen-Kiukaanniemi, Sirkka M | Saaristo, Timo E | Korpi-Hyövälti, Eeva | Saltevo, Juha | Laakso, Markku | Kuusisto, Johanna | Metspalu, Andres | Collins, Francis S | Mohlke, Karen L | Bergman, Richard N | Tuomilehto, Jaakko | Boehm, Bernhard O | Gieger, Christian | Hveem, Kristian | Cauchi, Stephane | Froguel, Philippe | Baldassarre, Damiano | Tremoli, Elena | Humphries, Steve E | Saleheen, Danish | Danesh, John | Ingelsson, Erik | Ripatti, Samuli | Salomaa, Veikko | Erbel, Raimund | Jöckel, Karl-Heinz | Moebus, Susanne | Peters, Annette | Illig, Thomas | de Faire, Ulf | Hamsten, Anders | Morris, Andrew D | Donnelly, Peter J | Frayling, Timothy M | Hattersley, Andrew T | Boerwinkle, Eric | Melander, Olle | Kathiresan, Sekar | Nilsson, Peter M | Deloukas, Panos | Thorsteinsdottir, Unnur | Groop, Leif C | Stefansson, Kari | Hu, Frank | Pankow, James S | Dupuis, Josée | Meigs, James B | Altshuler, David | Boehnke, Michael | McCarthy, Mark I
Nature genetics  2012;44(9):981-990.
To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip involving 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two demonstrating sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of further common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signalling and cell cycle regulation, in diabetes pathogenesis.
doi:10.1038/ng.2383
PMCID: PMC3442244  PMID: 22885922
5.  Meta-analysis of New Genome-wide Association Studies of Colorectal Cancer Risk 
Human Genetics  2011;131(2):217-234.
Colorectal cancer is the second leading cause of cancer death in developed countries. Genome-wide association studies (GWAS) have successfully identified novel susceptibility loci for colorectal cancer. To follow-up on these findings, and try to identify novel colorectal cancer susceptibility loci, we present results for genome-wide association studies (GWAS) of colorectal cancer (2,906 cases, 3,416 controls) that have not previously published main associations. Specifically, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) using log-additive models for each study. In order to improve our power to detect novel colorectal cancer susceptibility loci, we performed a meta-analysis combining the results across studies. We selected the most statistically significant single nucleotide polymorphisms (SNPs) for replication using 10 independent studies (8,161 cases and 9,101 controls). We again used a meta-analysis to summarize results for the replication studies alone, and for a combined analysis of GWAS and replication studies. We measured 10 SNPs previously identified in colorectal cancer susceptibility loci and found eight to be associated with colorectal cancer (p-value range: 0.02 to 1.8 × 10−8). When we excluded studies that have previously published on these SNPs, five SNPs remained significant at p<0.05 in the combined analysis. No novel susceptibility loci were significant in the replication study after adjustment for multiple testing, and none reached genome-wide significance from a combined analysis of GWAS and replication. We observed marginally significant evidence for a second independent SNP in the BMP2 region at chromosomal location 20p12 (rs4813802; replication p-value 0.03; combined p-value 7.3 × 10−5). In a region on 5p33.15, which includes the coding regions of the TERT-CLPTM1L genes and has been identified in GWAS to be associated with susceptibility to at least seven other cancers, we observed a marginally significant association with rs2853668 (replication p-value 0.03; combined p-value 1.9 × 10−4). Our study suggests a complex nature of the contribution of common genetic variants to risk for colorectal cancer.
doi:10.1007/s00439-011-1055-0
PMCID: PMC3257356  PMID: 21761138
6.  A genome-wide association study of early menopause and the combined impact of identified variants 
Human Molecular Genetics  2013;22(7):1465-1472.
Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.
doi:10.1093/hmg/dds551
PMCID: PMC3596848  PMID: 23307926
7.  Informed Conditioning on Clinical Covariates Increases Power in Case-Control Association Studies 
PLoS Genetics  2012;8(11):e1003032.
Genetic case-control association studies often include data on clinical covariates, such as body mass index (BMI), smoking status, or age, that may modify the underlying genetic risk of case or control samples. For example, in type 2 diabetes, odds ratios for established variants estimated from low–BMI cases are larger than those estimated from high–BMI cases. An unanswered question is how to use this information to maximize statistical power in case-control studies that ascertain individuals on the basis of phenotype (case-control ascertainment) or phenotype and clinical covariates (case-control-covariate ascertainment). While current approaches improve power in studies with random ascertainment, they often lose power under case-control ascertainment and fail to capture available power increases under case-control-covariate ascertainment. We show that an informed conditioning approach, based on the liability threshold model with parameters informed by external epidemiological information, fully accounts for disease prevalence and non-random ascertainment of phenotype as well as covariates and provides a substantial increase in power while maintaining a properly controlled false-positive rate. Our method outperforms standard case-control association tests with or without covariates, tests of gene x covariate interaction, and previously proposed tests for dealing with covariates in ascertained data, with especially large improvements in the case of case-control-covariate ascertainment. We investigate empirical case-control studies of type 2 diabetes, prostate cancer, lung cancer, breast cancer, rheumatoid arthritis, age-related macular degeneration, and end-stage kidney disease over a total of 89,726 samples. In these datasets, informed conditioning outperforms logistic regression for 115 of the 157 known associated variants investigated (P-value = 1×10−9). The improvement varied across diseases with a 16% median increase in χ2 test statistics and a commensurate increase in power. This suggests that applying our method to existing and future association studies of these diseases may identify novel disease loci.
Author Summary
This work describes a new methodology for analyzing genome-wide case-control association studies of diseases with strong correlations to clinical covariates, such as age in prostate cancer and body mass index in type 2 diabetes. Currently, researchers either ignore these clinical covariates or apply approaches that ignore the disease's prevalence and the study's ascertainment strategy. We take an alternative approach, leveraging external prevalence information from the epidemiological literature and constructing a statistic based on the classic liability threshold model of disease. Our approach not only improves the power of studies that ascertain individuals randomly or based on the disease phenotype, but also improves the power of studies that ascertain individuals based on both the disease phenotype and clinical covariates. We apply our statistic to seven datasets over six different diseases and a variety of clinical covariates. We found that there was a substantial improvement in test statistics relative to current approaches at known associated variants. This suggests that novel loci may be identified by applying our method to existing and future association studies of these diseases.
doi:10.1371/journal.pgen.1003032
PMCID: PMC3493452  PMID: 23144628
8.  Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis 
Voight, Benjamin F | Scott, Laura J | Steinthorsdottir, Valgerdur | Morris, Andrew P | Dina, Christian | Welch, Ryan P | Zeggini, Eleftheria | Huth, Cornelia | Aulchenko, Yurii S | Thorleifsson, Gudmar | McCulloch, Laura J | Ferreira, Teresa | Grallert, Harald | Amin, Najaf | Wu, Guanming | Willer, Cristen J | Raychaudhuri, Soumya | McCarroll, Steve A | Langenberg, Claudia | Hofmann, Oliver M | Dupuis, Josée | Qi, Lu | Segrè, Ayellet V | van Hoek, Mandy | Navarro, Pau | Ardlie, Kristin | Balkau, Beverley | Benediktsson, Rafn | Bennett, Amanda J | Blagieva, Roza | Boerwinkle, Eric | Bonnycastle, Lori L | Boström, Kristina Bengtsson | Bravenboer, Bert | Bumpstead, Suzannah | Burtt, Noisël P | Charpentier, Guillaume | Chines, Peter S | Cornelis, Marilyn | Couper, David J | Crawford, Gabe | Doney, Alex S F | Elliott, Katherine S | Elliott, Amanda L | Erdos, Michael R | Fox, Caroline S | Franklin, Christopher S | Ganser, Martha | Gieger, Christian | Grarup, Niels | Green, Todd | Griffin, Simon | Groves, Christopher J | Guiducci, Candace | Hadjadj, Samy | Hassanali, Neelam | Herder, Christian | Isomaa, Bo | Jackson, Anne U | Johnson, Paul R V | Jørgensen, Torben | Kao, Wen H L | Klopp, Norman | Kong, Augustine | Kraft, Peter | Kuusisto, Johanna | Lauritzen, Torsten | Li, Man | Lieverse, Aloysius | Lindgren, Cecilia M | Lyssenko, Valeriya | Marre, Michel | Meitinger, Thomas | Midthjell, Kristian | Morken, Mario A | Narisu, Narisu | Nilsson, Peter | Owen, Katharine R | Payne, Felicity | Perry, John R B | Petersen, Ann-Kristin | Platou, Carl | Proença, Christine | Prokopenko, Inga | Rathmann, Wolfgang | Rayner, N William | Robertson, Neil R | Rocheleau, Ghislain | Roden, Michael | Sampson, Michael J | Saxena, Richa | Shields, Beverley M | Shrader, Peter | Sigurdsson, Gunnar | Sparsø, Thomas | Strassburger, Klaus | Stringham, Heather M | Sun, Qi | Swift, Amy J | Thorand, Barbara | Tichet, Jean | Tuomi, Tiinamaija | van Dam, Rob M | van Haeften, Timon W | van Herpt, Thijs | van Vliet-Ostaptchouk, Jana V | Walters, G Bragi | Weedon, Michael N | Wijmenga, Cisca | Witteman, Jacqueline | Bergman, Richard N | Cauchi, Stephane | Collins, Francis S | Gloyn, Anna L | Gyllensten, Ulf | Hansen, Torben | Hide, Winston A | Hitman, Graham A | Hofman, Albert | Hunter, David J | Hveem, Kristian | Laakso, Markku | Mohlke, Karen L | Morris, Andrew D | Palmer, Colin N A | Pramstaller, Peter P | Rudan, Igor | Sijbrands, Eric | Stein, Lincoln D | Tuomilehto, Jaakko | Uitterlinden, Andre | Walker, Mark | Wareham, Nicholas J | Watanabe, Richard M | Abecasis, Gonçalo R | Boehm, Bernhard O | Campbell, Harry | Daly, Mark J | Hattersley, Andrew T | Hu, Frank B | Meigs, James B | Pankow, James S | Pedersen, Oluf | Wichmann, H-Erich | Barroso, Inês | Florez, Jose C | Frayling, Timothy M | Groop, Leif | Sladek, Rob | Thorsteinsdottir, Unnur | Wilson, James F | Illig, Thomas | Froguel, Philippe | van Duijn, Cornelia M | Stefansson, Kari | Altshuler, David | Boehnke, Michael | McCarthy, Mark I
Nature genetics  2010;42(7):579-589.
By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combinedP < 5 × 10−8. These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.
doi:10.1038/ng.609
PMCID: PMC3080658  PMID: 20581827
9.  CXCR4 pathway associated with family history of melanoma 
Cancer causes & control : CCC  2013;25(1):125-132.
Purpose
Genetic predisposition plays a major role in the etiology of melanoma, but known genetic markers only account for a limited fraction of family history-associated melanoma cases. Expression microarrays have offered the opportunity to identify further genomic profiles correlated with family history of melanoma. We aimed to distinguish mRNA expression signatures between melanoma cases with and without a family history of melanoma.
Methods
Based on the Nurses’ Health Study, family history was defined as having one or more first-degree family members diagnosed with melanoma. Melanoma diagnosis was confirmed by reviewing pathology reports and tumor blocks were collected by mail from across the United States. Genomic interrogation was accomplished through evaluating expression profiling of formalin-fixed paraffin-embedded tissues from 78 primary cutaneous invasive melanoma cases, on either a 6K or whole-genome (24K) Illumina gene chip. Gene Set Enrichment Analysis was performed for each batch to determine the differentially enriched pathways and key contributing genes.
Results
The CXC chemokine receptor 4 (CXCR4) pathway was consistently up-regulated within cases of familial melanoma in both platforms. Leading edge analysis showed four genes from the CXCR4 pathway, including MAPK1, PLCG1, CRK, and PTK2, were among the core members that contributed to the enrichment of this pathway. There was no association between the enrichment of CXCR4 pathway and NRAS, BRAF mutation, or Breslow thickness of the primary melanoma cases.
Conclusions
We found that the CXCR4 pathway might constitute a novel susceptibility pathway associated with family history of melanoma in first-degree relatives.
doi:10.1007/s10552-013-0315-9
PMCID: PMC4100594  PMID: 24158781
melanoma; genetic pathway analysis; genome-wide expression profiling
10.  Aspirin Use, 8q24 Single Nucleotide Polymorphism rs6983267, and Colorectal Cancer According to CTNNB1 Alterations 
Background
Regular aspirin use reduces the risk for colorectal cancer (CRC), possibly through inhibition of WNT/cadherin-associated protein β1 (CTNNB1 or β-catenin) signaling. The single nucleotide polymorphism (SNP) rs6983267 on chromosome 8q24 is a CRC susceptibility locus that affects binding activity of transcription factor 7 like-2 (TCF7L2) to CTNNB1, thereby altering expression of target oncogenes, including MYC.
Methods
We evaluated regular aspirin use and CRC risk according to genotypes of SNP rs6983267 and CTNNB1 expression status in two prospective case–control studies (840 CRC case patients and 1686 age- and race-matched control subjects) nested within the Nurses’ Health Study and the Health Professionals Follow-up Study. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression models. All statistical tests were two-sided.
Results
A lower risk of CRC was associated with regular aspirin use and the T allele of rs6983267. The effect of aspirin was confined to individuals with protective T allele of rs6983267 (additive matching factors–adjusted OR for T allele = 0.83; 95% CI = 0.74 to 0.94; P trend = .002; P interaction = .01). Additionally, the T allele of rs6983267 was associated with a reduced expression of MYC oncogene (P trend = .03). Moreover, among individuals with protective T allele, the effect of regular aspirin use was limited to those with positive nuclear CTNNB1 expression. In a functional analysis, in vitro treatment of LS174T cells (a cell line heterozygous for rs6983267) with aspirin was statistically significantly associated with higher G/T allelic ratio of TCF7L2 immunoprecipitated DNA (P = .03).
Conclusions
Our results support an influence of aspirin on WNT/CTNNB1 signaling and suggest that aspirin chemoprevention may be tailored according to rs6983267 genotype.
doi:10.1093/jnci/djt331
PMCID: PMC3866156  PMID: 24317174
11.  Presence and Extent of Severe Facet Joint Osteoarthritis Are Associated with Back Pain in Older Adults 
Objective
To determine whether the presence and extent of severe lumbar facet joint osteoarthritis (OA) is associated with back pain in older adults, accounting for disc height narrowing and other covariates.
Design
252 older adults from the Framingham Offspring Cohort (mean age 67 years) were studied. Participants received standardized CT assessments of lumbar facet joint OA and disc height narrowing at the L2-S1 interspaces using 4-grade semi-quantitative scales. Severe facet joint OA was defined according to the presence and/or degree of joint space narrowing, osteophytosis, articular process hypertrophy, articular erosions, subchondral cysts, and intraarticular vacuum phenomenon. Severe disc height narrowing was defined as marked narrowing with endplates almost in contact. Back pain was defined as participant report of pain on most days or all days in the past 12 months. We used multivariable logistic regression to examine associations between severe facet joint OA and back pain, adjusting for key covariates including disc height narrowing, sociodemographics, anthropometrics, and health factors.
Results
Severe facet joint OA was more common in participants with back pain than those without (63.2% vs. 46.7%;p=0.03). In multivariable analyses, presence of any severe facet joint OA remained significantly associated with back pain (odds ratio[OR]2.15 (95% confidence interval [CI]1.13-4.08). Each additional joint with severe OA conferred greater odds of back pain (OR per joint 1.20 (95% CI;1.02-1.41).
Conclusions
The presence and extent of severe facet joint OA on CT imaging is associated with back pain in community-based older adults, independent of sociodemographics, health factors, and disc height narrowing.
doi:10.1016/j.joca.2013.05.013
PMCID: PMC4018241  PMID: 23973131
zygapophyseal; lumbar; arthritis; intervertebral disc; spondylosis
12.  Increased Risk of Recurrent Gout Attacks with Hospitalization 
The American journal of medicine  2013;126(12):10.1016/j.amjmed.2013.06.026.
Background
While anecdotal evidence suggests that risk of recurrent gout attack increases with hospitalization, no study has formally tested this hypothesis.
Methods
We conducted an online case-crossover study of individuals with gout. We obtained information on gout attacks over a one-year period, including: onset date, symptoms and signs, medications, and exposure to potential risk factors, including hospitalization, during the 2-day hazard period prior to each gout attack. The same exposure information was also obtained over 2-day intercritical gout control periods. We performed conditional logistic regression to examine the relationship of hospitalization with recurrent gout attacks and whether such a relationship was modified by concomitant use of anti-gout medications.
Results
Of 724 participants (mean age 54.5 years, 78.5% male), 35 hospitalizations occurred during either a hazard or control period. The adjusted odds of gout attacks was increased 4-fold with hospitalization (OR 4.05, 95% confidence interval: 1.78–9.19) compared with no hospitalization. The effect of hospitalization tended to attenuate with use of allopurinol, colchicine, or NSAIDs, but not statistically significantly.
Conclusions
Our study confirmed that the risk of gout attacks increases among gout patients during hospitalization. Appropriate measures should be considered for prevention of gout attacks during hospitalization for patients with pre-existing gout.
doi:10.1016/j.amjmed.2013.06.026
PMCID: PMC3838663  PMID: 24054179
13.  Genetic modifiers of menopausal hormone replacement therapy and breast cancer risk: A genome-wide interaction study 
Endocrine-related cancer  2013;20(6):875-887.
Women using menopausal hormone therapy (MHT) are at increased risk to develop breast cancer (BC). To detect genetic modifiers of the association between current use of MHT and BC risk, we conducted a meta-analysis of four genome-wide case-only studies followed by replication in eleven case-control studies. We used a case-only design to assess interactions between single nucleotide polymorphisms (SNPs) and current MHT use on risk of overall and lobular BC. The discovery stage included 2,920 cases (541 lobular) from four genome-wide association studies. The top 1,391 SNPs showing P-values for interaction (Pint) <3.0×10−03 were selected for replication using pooled case-control data from eleven studies of the Breast Cancer Association Consortium, including 7,689 cases (676 lobular) and 9,266 controls. Fixed effects meta-analysis was used to derive combined Pint. No SNP reached genome-wide significance in either the discovery or combined stage. We observed effect modification of current MHT use on overall BC risk by two SNPs on chr13 near POMP (combined Pint≤8.9×10−06), two SNPs in SLC25A21 (combined Pint≤4.8×10−05), and three SNPs in PLCG2 (combined Pint≤4.5×10−05). The association between lobular BC risk was potentially modified by one SNP in TMEFF2 (combined Pint≤2.7×10−05), one SNP in CD80 (combined Pint≤8.2×10−06), three SNPs on chr17 near TMEM132E (combined Pint≤2.2×10−06), and two SNPs on chr18 near SLC25A52 (combined Pint≤4.6×10−05). In conclusion, polymorphisms in genes related to solute transportation in mitochondria, transmembrane signaling and immune cell activation are potentially modifying BC risk associated with current use of MHT. These findings warrant replication in independent studies.
doi:10.1530/ERC-13-0349
PMCID: PMC3863710  PMID: 24080446
breast cancer; genetic variation; menopausal hormone therapy; genome-wide
14.  Tanning bed use is not associated with internal cancer risk: Evidence from a large cohort study 
Background
Increased risk of skin cancer by indoor tanning has drawn public attention. However, there are arguments that tanning bed use increases vitamin D production, which may therefore prevent internal cancers.
Methods
We follow 73,358 female nurses for 20 years (1989–2009) in the Nurses’ Health Study II and investigated the frequency of tanning bed use during high school/college and at ages 25–35 in relation to the incidence of total cancers (excluding skin cancers). We used multivariate Cox proportional hazards models to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of total cancers and each individual major cancer with more than 100 cases.
Results
During follow-up, a total of 4,271 internal cancer cases were diagnosed. No association was found between tanning bed use and risk of total cancers (multivariable-adjusted HR, 0.99; 95% CI, 0.95–1.04 for every 4 times/year use on average during high school/college and at ages 25–35). In addition, no association was found for the risk of any individual major cancers, such as breast cancer, thyroid cancer, colorectal cancer, non-Hodgkin lymphoma, or endometrial cancer.
Conclusion
Our data do not suggest any association between the use of tanning beds and risk of internal cancers.
Impact
Based on the strong evidence of increase in skin cancer risk and no evidence of reduction in internal cancer risk by tanning bed use, it is important to warn the public against indoor tanning.
doi:10.1158/1055-9965.EPI-13-0906
PMCID: PMC3872436  PMID: 24130225
Indoor tanning; Internal cancer; Vitamin D; Cohort study
15.  MicroRNA Related Polymorphisms and Breast Cancer Risk 
Khan, Sofia | Greco, Dario | Michailidou, Kyriaki | Milne, Roger L. | Muranen, Taru A. | Heikkinen, Tuomas | Aaltonen, Kirsimari | Dennis, Joe | Bolla, Manjeet K. | Liu, Jianjun | Hall, Per | Irwanto, Astrid | Humphreys, Keith | Li, Jingmei | Czene, Kamila | Chang-Claude, Jenny | Hein, Rebecca | Rudolph, Anja | Seibold, Petra | Flesch-Janys, Dieter | Fletcher, Olivia | Peto, Julian | dos Santos Silva, Isabel | Johnson, Nichola | Gibson, Lorna | Aitken, Zoe | Hopper, John L. | Tsimiklis, Helen | Bui, Minh | Makalic, Enes | Schmidt, Daniel F. | Southey, Melissa C. | Apicella, Carmel | Stone, Jennifer | Waisfisz, Quinten | Meijers-Heijboer, Hanne | Adank, Muriel A. | van der Luijt, Rob B. | Meindl, Alfons | Schmutzler, Rita K. | Müller-Myhsok, Bertram | Lichtner, Peter | Turnbull, Clare | Rahman, Nazneen | Chanock, Stephen J. | Hunter, David J. | Cox, Angela | Cross, Simon S. | Reed, Malcolm W. R. | Schmidt, Marjanka K. | Broeks, Annegien | Veer, Laura J. V. a. n't. | Hogervorst, Frans B. | Fasching, Peter A. | Schrauder, Michael G. | Ekici, Arif B. | Beckmann, Matthias W. | Bojesen, Stig E. | Nordestgaard, Børge G. | Nielsen, Sune F. | Flyger, Henrik | Benitez, Javier | Zamora, Pilar M. | Perez, Jose I. A. | Haiman, Christopher A. | Henderson, Brian E. | Schumacher, Fredrick | Le Marchand, Loic | Pharoah, Paul D. P. | Dunning, Alison M. | Shah, Mitul | Luben, Robert | Brown, Judith | Couch, Fergus J. | Wang, Xianshu | Vachon, Celine | Olson, Janet E. | Lambrechts, Diether | Moisse, Matthieu | Paridaens, Robert | Christiaens, Marie-Rose | Guénel, Pascal | Truong, Thérèse | Laurent-Puig, Pierre | Mulot, Claire | Marme, Frederick | Burwinkel, Barbara | Schneeweiss, Andreas | Sohn, Christof | Sawyer, Elinor J. | Tomlinson, Ian | Kerin, Michael J. | Miller, Nicola | Andrulis, Irene L. | Knight, Julia A. | Tchatchou, Sandrine | Mulligan, Anna Marie | Dörk, Thilo | Bogdanova, Natalia V. | Antonenkova, Natalia N. | Anton-Culver, Hoda | Darabi, Hatef | Eriksson, Mikael | Garcia-Closas, Montserrat | Figueroa, Jonine | Lissowska, Jolanta | Brinton, Louise | Devilee, Peter | Tollenaar, Robert A. E. M. | Seynaeve, Caroline | van Asperen, Christi J. | Kristensen, Vessela N. | Slager, Susan | Toland, Amanda E. | Ambrosone, Christine B. | Yannoukakos, Drakoulis | Lindblom, Annika | Margolin, Sara | Radice, Paolo | Peterlongo, Paolo | Barile, Monica | Mariani, Paolo | Hooning, Maartje J. | Martens, John W. M. | Collée, J. Margriet | Jager, Agnes | Jakubowska, Anna | Lubinski, Jan | Jaworska-Bieniek, Katarzyna | Durda, Katarzyna | Giles, Graham G. | McLean, Catriona | Brauch, Hiltrud | Brüning, Thomas | Ko, Yon-Dschun | Brenner, Hermann | Dieffenbach, Aida Karina | Arndt, Volker | Stegmaier, Christa | Swerdlow, Anthony | Ashworth, Alan | Orr, Nick | Jones, Michael | Simard, Jacques | Goldberg, Mark S. | Labrèche, France | Dumont, Martine | Winqvist, Robert | Pylkäs, Katri | Jukkola-Vuorinen, Arja | Grip, Mervi | Kataja, Vesa | Kosma, Veli-Matti | Hartikainen, Jaana M. | Mannermaa, Arto | Hamann, Ute | Chenevix-Trench, Georgia | Blomqvist, Carl | Aittomäki, Kristiina | Easton, Douglas F. | Nevanlinna, Heli
PLoS ONE  2014;9(11):e109973.
Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR) 0.92; 95% confidence interval (CI): 0.88–0.96), rs1052532 (OR 0.97; 95% CI: 0.95–0.99), rs10719 (OR 0.97; 95% CI: 0.94–0.99), rs4687554 (OR 0.97; 95% CI: 0.95–0.99, and rs3134615 (OR 1.03; 95% CI: 1.01–1.05) located in the 3′ UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects.
doi:10.1371/journal.pone.0109973
PMCID: PMC4229095  PMID: 25390939
16.  Obesity susceptibility loci and uncontrolled eating, emotional eating and cognitive restraint behaviors in men and women 
Obesity (Silver Spring, Md.)  2013;22(5):E135-E141.
Objective
Many confirmed genetic loci for obesity are expressed in regions of the brain that regulate energy intake and reward-seeking behavior. Whether these loci contribute to the development of specific eating behaviors has not been investigated. We examined the relationship between a genetic susceptibility to obesity and cognitive restraint, uncontrolled and emotional eating.
Design and Methods
Eating behavior and body mass index (BMI) were determined by questionnaires for 1471 men and 2381 women from two U.S cohorts. Genotypes were extracted from genome-wide scans and a genetic-risk score (GRS) derived from 32 obesity-loci was calculated.
Results
The GRS was positively associated with emotional and uncontrolled eating(P<0.002). In exploratory analysis, BMI-increasing variants of MTCH2, TNNI3K and ZC3H4 were positively associated with emotional eating and those of TNNI3K and ZC3H4 were positively associated with uncontrolled eating. The BMI-increasing variant of FTO was positively and those of LRP1B and TFAP2B were inversely associated with cognitive restraint. These associations for single SNPs were independent of BMI but were not significant after multiple-testing correction.
Conclusions
An overall genetic susceptibility to obesity may also extend to eating behaviors. The link between specific loci and obesity may be mediated by eating behavior but larger studies are warranted to confirm these results.
doi:10.1002/oby.20592
PMCID: PMC3858422  PMID: 23929626
obesity; emotional eating; uncontrolled eating; cognitive restraint; genotype; population
17.  Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression 
Kote-Jarai, Zsofia | Saunders, Edward J. | Leongamornlert, Daniel A. | Tymrakiewicz, Malgorzata | Dadaev, Tokhir | Jugurnauth-Little, Sarah | Ross-Adams, Helen | Al Olama, Ali Amin | Benlloch, Sara | Halim, Silvia | Russell, Roslin | Dunning, Alison M. | Luccarini, Craig | Dennis, Joe | Neal, David E. | Hamdy, Freddie C. | Donovan, Jenny L. | Muir, Ken | Giles, Graham G. | Severi, Gianluca | Wiklund, Fredrik | Gronberg, Henrik | Haiman, Christopher A. | Schumacher, Fredrick | Henderson, Brian E. | Le Marchand, Loic | Lindstrom, Sara | Kraft, Peter | Hunter, David J. | Gapstur, Susan | Chanock, Stephen | Berndt, Sonja I. | Albanes, Demetrius | Andriole, Gerald | Schleutker, Johanna | Weischer, Maren | Canzian, Federico | Riboli, Elio | Key, Tim J. | Travis, Ruth C. | Campa, Daniele | Ingles, Sue A. | John, Esther M. | Hayes, Richard B. | Pharoah, Paul | Khaw, Kay-Tee | Stanford, Janet L. | Ostrander, Elaine A. | Signorello, Lisa B. | Thibodeau, Stephen N. | Schaid, Dan | Maier, Christiane | Vogel, Walther | Kibel, Adam S. | Cybulski, Cezary | Lubinski, Jan | Cannon-Albright, Lisa | Brenner, Hermann | Park, Jong Y. | Kaneva, Radka | Batra, Jyotsna | Spurdle, Amanda | Clements, Judith A. | Teixeira, Manuel R. | Govindasami, Koveela | Guy, Michelle | Wilkinson, Rosemary A. | Sawyer, Emma J. | Morgan, Angela | Dicks, Ed | Baynes, Caroline | Conroy, Don | Bojensen, Stig E. | Kaaks, Rudolf | Vincent, Daniel | Bacot, François | Tessier, Daniel C. | Easton, Douglas F. | Eeles, Rosalind A.
Human Molecular Genetics  2013;22(20):4239.
doi:10.1093/hmg/ddt334
PMCID: PMC3871151
18.  Coffee, tea, caffeine, and risk of breast cancer: a twenty two-year follow-up 
The relation between consumption of coffee, tea, and caffeine and risk of breast cancer remains unsettled. We examined data from a large, long-term cohort study to evaluate whether high intake of coffee and caffeine is associated with increased risk of breast cancer. This was a prospective cohort study with 85,987 female participants in the Nurses’ Health Study. Consumption of coffee, tea and caffeine consumption was assessed in 1980, 1984, 1986, 1990, 1994, 1998, and the follow-up continued through 2002. We documented 5,272 cases of invasive breast cancer during 1,715,230 person-years. The multivariate relative risks (RRs) of breast cancer across categories of caffeinated coffee consumption were: 1.0 for <1cup/mo (reference category), 1.01 (95% confidence interval: 0.92–1.12) for 1/mo-4.9/wk, 0.92 (0.84–1.01) for 5/wk-1.9/d, 0.93 (0.85–1.02) for 2–3.9/d, 0.92 (0.82–1.03) for ≥4 cups per day (p for trend= 0.14). Intakes of tea and decaffeinated coffee were also not significantly associated with risk of breast cancer. RRs (95% CI) for increasing quintiles of caffeine intake were 1.00, 0.98 (0.90–1.07), 0.92 (0.84–1.00), 0.94 (0.87–1.03), and 0.93 (0.85–1.01) (p for trend=0.06). A significant inverse association of caffeine intake with breast cancers was observed among postmenopausal women; for the highest quintile of intake compared to the lowest RR 0.88 (95% CI = 0.79 to 0.97, p for trend=0.03). We observed no substantial association between caffeinated and decaffeinated coffee and tea consumption and risk of breast cancer in the overall cohort. However, our results suggested a weak inverse association between caffeine-containing beverages and risk of postmenopausal breast cancer.
doi:10.1002/ijc.23336
PMCID: PMC4186696  PMID: 18183588
Breast cancer; Dietary practices; Coffee; Tea; Caffeine
19.  Trajectory of Cartilage Loss within Four Years of Knee Replacement 
Objective
Knee replacement (KR) represents a clinically important endpoint of knee osteoarthritis (KOA). Here we examine the four-year trajectory of femoro-tibial cartilage thickness loss prior to KR vs. non-replaced controls.
Methods
A nested case-control study was performed in Osteoarthritis Initiative (OAI) participants: Cases with KR between 12–60 month (M) follow-up were each matched with one control (without KR through 60M) by age, sex, and baseline radiographic stage. Femoro-tibial cartilage thickness was measured quantitatively using MRI at the annual visit prior to KR occurrence (T0), and at –-4years prior to T0 (T−1 to T−4). Cartilage loss between cases and controls was compared using paired t-tests and conditional logistic regression.
Results
189 knees of 164 OAI participants (55% women, age 64±8.7; BMI 29±4.5) had KR and longitudinal cartilage data. Comparison of annualized slopes of change across all time points revealed greater loss in the central medial tibia (primary outcome) in KRs than in controls (94±137 vs. 55±104µm; p=0.0017 [paired-t]; odds ratio [OR] 1.36 (95% confidence interval [CI]: 1.08-1.70). The discrimination was stronger for T−2→T0 (OR 1.61 [1.33-1.95], n=127) than for T−1→T0, and was not statistically significant for intervals prior to T−2 (i.e. T−4→T−2, OR 0.97 [0.67–1.41], n=60). Results were similar for total medial femoro-tibial cartilage loss (secondary outcome), and when adjusting for pain and BMI.
Conclusions
In knees with subsequent replacement, cartilage loss accelerates in the two years, and particularly in the year prior to surgery, compared with controls. Whether slowing this cartilage loss can delay KR remains to be determined.
doi:10.1016/j.joca.2014.04.016
PMCID: PMC4184997  PMID: 24792212
Knee Osteoarthritis; Knee Replacement; Knee Arthroplasty; Cartilage Loss; Magnetic Resonance Imaging
20.  Confirmation of 5p12 as a susceptibility locus for progesterone-receptor-positive, lower grade breast cancer 
Milne, Roger L. | Goode, Ellen L. | García-Closas, Montserrat | Couch, Fergus J. | Severi, Gianluca | Hein, Rebecca | Fredericksen, Zachary | Malats, Núria | Zamora, M. Pilar | Pérez, Jose Ignacio Arias | Benítez, Javier | Dörk, Thilo | Schürmann, Peter | Karstens, Johann H. | Hillemanns, Peter | Cox, Angela | Brock, Ian W. | Elliot, Graeme | Cross, Simon S. | Seal, Sheila | Turnbull, Clare | Renwick, Anthony | Rahman, Nazneen | Shen, Chen-Yang | Yu, Jyh-Cherng | Huang, Chiun-Sheng | Hou, Ming-Feng | Nordestgaard, Børge G. | Bojesen, Stig E. | Lanng, Charlotte | Alnæs, Grethe Grenaker | Kristensen, Vessela | Børrensen-Dale, Anne-Lise | Hopper, John L. | Dite, Gillian S. | Apicella, Carmel | Southey, Melissa C. | Lambrechts, Diether | Yesilyurt, Betül T. | Floris, Giuseppe | Leunen, Karin | Sangrajrang, Suleeporn | Gaborieau, Valerie | Brennan, Paul | McKay, James | Chang-Claude, Jenny | Wang-Gohrke, Shan | Radice, Paolo | Peterlongo, Paolo | Manoukian, Siranoush | Barile, Monica | Giles, Graham G. | Baglietto, Laura | John, Esther M. | Miron, Alexander | Chanock, Stephen J. | Lissowska, Jolanta | Sherman, Mark E. | Figueroa, Jonine D. | Bogdanova, Natalia V. | Antonenkova, Natalia N. | Zalutsky, Iosif V. | Rogov, Yuri I. | Fasching, Peter A. | Bayer, Christian M. | Ekici, Arif B. | Beckmann, Matthias W. | Brenner, Hermann | Müller, Heiko | Arndt, Volker | Stegmaier, Christa | Andrulis, Irene L. | Knight, Julia A. | Glendon, Gord | Mulligan, Anna Marie | Mannermaa, Arto | Kataja, Vesa | Kosma, Veli-Matti | Hartikainen, Jaana M. | Meindl, Alfons | Heil, Joerg | Bartram, Claus R. | Schmutzler, Rita K. | Thomas, Gilles D. | Hoover, Robert N. | Fletcher, Olivia | Gibson, Lorna J. | Silva, Isabel dos Santos | Peto, Julian | Nickels, Stefan | Flesch-Janys, Dieter | Anton-Culver, Hoda | Ziogas, Argyrios | Sawyer, Elinor | Tomlinson, Ian | Kerin, Michael | Miller, Nicola | Schmidt, Marjanka K. | Broeks, Annegien | Van ‘t Veer, Laura J. | Tollenaar, Rob A.E.M. | Pharoah, Paul D.P. | Dunning, Alison M. | Pooley, Karen A. | Marme, Frederik | Schneeweiss, Andreas | Sohn, Christof | Burwinkel, Barbara | Jakubowska, Anna | Lubinski, Jan | Jaworska, Katarzyna | Durda, Katarzyna | Kang, Daehee | Yoo, Keun-Young | Noh, Dong-Young | Ahn, Sei-Hyun | Hunter, David J. | Hankinson, Susan E. | Kraft, Peter | Lindstrom, Sara | Chen, Xiaoqing | Beesley, Jonathan | Hamann, Ute | Harth, Volker | Justenhoven, Christina | Winqvist, Robert | Pylkäs, Katri | Jukkola-Vuorinen, Arja | Grip, Mervi | Hooning, Maartje | Hollestelle, Antoinette | Oldenburg, Rogier A. | Tilanus-Linthorst, Madeleine | Khusnutdinova, Elza | Bermisheva, Marina | Prokofieva, Darya | Farahtdinova, Albina | Olson, Janet E. | Wang, Xianshu | Humphreys, Manjeet K. | Wang, Qin | Chenevix-Trench, Georgia | Easton, Douglas F.
Background
The single nucleotide polymorphism 5p12-rs10941679has been found to be associated with risk of breast cancer, particularly estrogen receptor (ER)-positive disease. We aimed to further explore this association overall, and by tumor histopathology, in the Breast Cancer Association Consortium.
Methods
Data were combined from 37 studies, including 40,972 invasive cases, 1,398 cases of ductal carcinoma in situ (DCIS) and 46,334 controls, all of white European ancestry, as well as 3,007 invasive cases and 2,337 controls of Asian ancestry. Associations overall and by tumor invasiveness and histopathology were assessed using logistic regression.
Results
For white Europeans, the per-allele odds ratio (OR) associated with 5p12-rs10941679 was 1.11 (95% confidence interval [CI] =1.08–1.14, P=7×10−18) for invasive breast cancer and 1.10 (95%CI=1.01–1.21, P=0.03) for DCIS. For Asian women, the estimated OR for invasive disease was similar (OR=1.07, 95%CI=0.99–1.15, P=0.09). Further analyses suggested that the association in white Europeans was largely limited to progesterone receptor (PR)-positive disease (per-allele OR=1.16, 95%CI=1.12–1.20, P=1×10−18 versus OR=1.03, 95%CI=0.99–1.07, P=0.2 for PR-negative disease; P-heterogeneity=2×10−7); heterogeneity by estrogen receptor status was not observed (P=0.2) once PR status was accounted for. The association was also stronger for lower-grade tumors (per-allele OR [95%CI]=1.20 [1.14–1.25], 1.13 [1.09–1.16] and 1.04 [0.99–1.08] for grade 1, 2 and 3/4, respectively; P–trend=5×10−7).
Conclusion
5p12 is a breast cancer susceptibility locus for PR-positive, lower gradebreast cancer.
Impact
Multi-centre fine-mapping studies of this region are needed as a first step to identifying the causal variant or variants.
doi:10.1158/1055-9965.EPI-11-0569
PMCID: PMC4164116  PMID: 21795498
Breast cancer; SNP; susceptibility; disease subtypes
21.  Fine Mapping of 14q24.1 Breast Cancer Susceptibility Locus 
Human genetics  2011;131(3):479-490.
In the National Cancer Institute Cancer Genetic Markers of Susceptibility (CGEMS) genome-wide association study of breast cancer, a single nucleotide polymorphism (SNP) marker, rs999737, in the 14q24.1 interval, was associated with breast cancer risk. In order to fine map this region, we imputed a 3.93MB region flanking rs999737 for Stages 1 and 2 of the CGEMS study (5,692 cases, 5,576 controls) using the combined reference panels of the HapMap 3 and the 1000 Genomes Project. Single-marker association testing and variable-sized sliding-window haplotype analysis were performed, and for both analyses the initial tagging SNP rs999737 retained the strongest association with breast cancer risk. Investigation of contiguous regions did not reveal evidence for an additional independent signal. Therefore, we conclude that rs999737 is an optimal tag SNP for common variants in the 14q24.1 region and thus narrow the candidate variants that should be investigated in follow-up laboratory evaluation.
doi:10.1007/s00439-011-1088-4
PMCID: PMC4159746  PMID: 21959381
RAD51L1; breast cancer; genome-wide association study; fine-mapping; imputation
22.  Subchondral Bone Trabecular Integrity Predicts and Changes Concurrently with Radiographic and MRI Determined Knee Osteoarthritis Progression 
Arthritis and rheumatism  2013;65(7):1812-1821.
Objective
To evaluate subchondral bone trabecular integrity (BTI) from a radiograph as a predictor of knee osteoarthritis (OA) progression.
Methods
Longitudinal (baseline, 12- and 24-month) knee radiographs were available from 60 female subjects with knee OA. OA progression was defined by 12- and 24-month change in radiographic medial compartment minimal joint space width (JSW) and medial joint space area (JSA), and medial tibial and femoral cartilage volume from magnetic resonance imaging. Bone Trabecular Integrity (BTI) of the medial tibial plateau was analyzed by fractal signature analysis with a commercially available software. Receiver Operating Characteristic curves of BTI were used to predict 5% change in OA progression parameters.
Results
Individual terms (linear and quadratic) of baseline BTI of vertical trabeculae predicted knee OA progression based on 12- and 24-month change in JSA (p<0.01 for 24 months), 24-month change in tibial (p<0.05) but not femoral cartilage volume, and 24-month change in JSW (p=0.05). ROC utilizing both terms of baseline BTI predicted 5% change in the OA progression parameters over 24 months with high accuracy as reflected by the area under the curve (AUC) measures: JSW 81%, JSA 85%, tibial 75% and femoral 85% cartilage volume. Change in BTI was also significantly associated (p<0.05) with concurrent change in JSA over 12 and 24 months and change in tibial cartilage volume over 24 months.
Conclusions
BTI predicts structural OA progression as determined by radiographic and MRI outcomes. BTI may therefore be worthy of study as an outcome measure for OA studies and clinical trials.
doi:10.1002/art.37970
PMCID: PMC4152231  PMID: 23576116
23.  How might healthcare systems influence speed of cancer diagnosis: A narrative review 
Social Science & Medicine (1982)  2014;116(100):56-63.
Striking differences exist in outcomes for cancer between developed countries with comparable healthcare systems. We compare the healthcare systems of 3 countries (Denmark, Norway, Sweden), 3 UK jurisdictions (England, Wales and Northern Ireland), 3 Canadian provinces (British Columbia, Manitoba, Ontario) and 2 Australian states (New South Wales, Victoria) using a framework which assesses the possible contribution of primary care systems to a range of health outcomes, drawing on key characteristics influencing population health.
For many of the characteristics we investigated there are no significant differences between those countries with poorer cancer outcomes (England and Denmark) and the rest. In particular, regulation, financing, the existence of patient lists, the GP gatekeeping role, direct access to secondary care, the degree of comprehensiveness of primary care services, the level of cost sharing and the type of primary care providers within healthcare systems were not specifically and consistently associated with differences between countries. Factors that could have an influence on patient and professional behaviour, and consequently contribute to delays in cancer diagnosis and poorer cancer outcomes in some countries, include centralisation of services, free movement of patients between primary care providers, access to secondary care, and the existence of patient list systems.
It was not possible to establish a causal correlation between healthcare system characteristics and cancer outcomes. Further studies should explore in greater depth the associations between single health system factors and cancer outcomes, recognising that in complex systems where context is all-important, it will be difficult to establish causal relationships. Better understanding of the interaction between healthcare system variables and patient and professional behaviour may generate new hypotheses for further research.
Highlights
•We examined cancer outcomes in six developed countries with comparable healthcare systems.•Clear differences exist in cancer outcomes between countries with comparable healthcare systems.•Centralisation, movement of patients between providers, access to secondary care, and list systems appear influential.•Better understanding of interactions between system variables and patient and professional behaviour may improve outcomes.
doi:10.1016/j.socscimed.2014.06.030
PMCID: PMC4124238  PMID: 24980792
Cancer; Primary care; Health systems; International comparisons; Early diagnosis
24.  Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4 
Cancer causes & control : CCC  2013;24(3):595-602.
Purpose
The evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed.
Methods
Using biochemical knowledge of the OCM pathway, we identified thirty-seven genes and 834 SNPs to examine in association with PanCa. Our study included 1,408 cases and 1,463 controls nested within twelve cohorts (PanScan). The ten SNPs and five genes with lowest p values (<0.02) were followed up in 2,323 cases and 2,340 controls from eight case-control studies (PanC4) that participated in PanScan2. The correlation of SNPs with metabolite levels was assessed for 649 controls from the European Prospective Investigation into Cancer and Nutrition.
Results
When both stages were combined, we observed suggestive associations with PanCa for rs10887710 (MAT1A) (OR 1.13, 95%CI 1.04-1.23), rs1552462 (SYT9) (OR 1.27, 95%CI 1.02-1.59), and rs7074891 (CUBN) (OR 1.91, 95%CI 1.12-3.26). After correcting for multiple comparisons, no significant associations were observed in either the first or second stage. The three suggested SNPs showed no correlations with one-carbon biomarkers.
Conclusions
This is the largest genetic study to date to examine the relation between germline variations in OCM-related genes polymorphisms and the risk of PanCa. Suggestive evidence for an association between polymorphisms and PanCa was observed among the cohort-nested studies, but this did not replicate in the case-control studies. Our results do not strongly support the hypothesis that genes related to OCM play a role in pancreatic carcinogenesis.
doi:10.1007/s10552-012-0138-0
PMCID: PMC4127987  PMID: 23334854
Pancreatic cancer; One-carbon metabolism; Polymorphisms; Biomarkers; Epidemiology
25.  Association of Adiposity Genetic Variants With Menarche Timing in 92,105 Women of European Descent 
Fernández-Rhodes, Lindsay | Demerath, Ellen W. | Cousminer, Diana L. | Tao, Ran | Dreyfus, Jill G. | Esko, Tõnu | Smith, Albert V. | Gudnason, Vilmundur | Harris, Tamara B. | Launer, Lenore | McArdle, Patrick F. | Yerges-Armstrong, Laura M. | Elks, Cathy E. | Strachan, David P. | Kutalik, Zoltán | Vollenweider, Peter | Feenstra, Bjarke | Boyd, Heather A. | Metspalu, Andres | Mihailov, Evelin | Broer, Linda | Zillikens, M. Carola | Oostra, Ben | van Duijn, Cornelia M. | Lunetta, Kathryn L. | Perry, John R. B. | Murray, Anna | Koller, Daniel L. | Lai, Dongbing | Corre, Tanguy | Toniolo, Daniela | Albrecht, Eva | Stöckl, Doris | Grallert, Harald | Gieger, Christian | Hayward, Caroline | Polasek, Ozren | Rudan, Igor | Wilson, James F. | He, Chunyan | Kraft, Peter | Hu, Frank B. | Hunter, David J. | Hottenga, Jouke-Jan | Willemsen, Gonneke | Boomsma, Dorret I. | Byrne, Enda M. | Martin, Nicholas G. | Montgomery, Grant W. | Warrington, Nicole M. | Pennell, Craig E. | Stolk, Lisette | Visser, Jenny A. | Hofman, Albert | Uitterlinden, André G. | Rivadeneira, Fernando | Lin, Peng | Fisher, Sherri L. | Bierut, Laura J. | Crisponi, Laura | Porcu, Eleonora | Mangino, Massimo | Zhai, Guangju | Spector, Tim D. | Buring, Julie E. | Rose, Lynda M. | Ridker, Paul M. | Poole, Charles | Hirschhorn, Joel N. | Murabito, Joanne M. | Chasman, Daniel I. | Widen, Elisabeth | North, Kari E. | Ong, Ken K. | Franceschini, Nora
American Journal of Epidemiology  2013;178(3):451-460.
Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)2), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970–2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9–17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.
doi:10.1093/aje/kws473
PMCID: PMC3816344  PMID: 23558354
adiposity; body mass index; genetic association studies; menarche; obesity; waist circumference; waist:hip ratio; women's health

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