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Enhancer Variants Synergistically Drive Dysfunction of a Gene Regulatory Network In Hirschsprung Disease
Chatterjee, Sumantra; Kapoor, Ashish; Akiyama, Jennifer A; Auer, Dallas R; Lee, Dongwon; Gabriel, Stacey; Berrios, Courtney; Pennacchio, Len A; Chakravarti, Aravinda
Common sequence variants in cis-regulatory elements (CREs) are suspected etiological causes of complex disorders. We previously identified an intronic enhancer variant in the RET gene disrupting SOX10 binding and increasing Hirschsprung disease (HSCR) risk 4-fold. We now show that two other functionally independent CRE variants, one binding Gata2 and the other binding Rarb, also reduce Ret expression and increase risk 2- and 1.7-fold. By studying human and mouse fetal gut tissues and cell lines, we demonstrate that reduced RET expression propagates throughout its gene regulatory network, exerting effects on both its positive and negative feedback components. We also provide evidence that the presence of a combination of CRE variants synergistically reduces RET expression and its effects throughout the GRN. These studies show how the effects of functionally independent non-coding variants in a coordinated gene regulatory network amplify their individually small effects, providing a model for complex disorders.
PMCID:5113733
PMID: 27693352
ISSN: 1097-4172
CID: 2746572
Trans-ethnic meta-analysis of genome-wide association studies for Hirschsprung disease
Tang, Clara Sze-Man; Gui, Hongsheng; Kapoor, Ashish; Kim, Jeong-Hyun; Luzon-Toro, Berta; Pelet, Anna; Burzynski, Grzegorz; Lantieri, Francesca; So, Man-Ting; Berrios, Courtney; Shin, Hyoung Doo; Fernandez, Raquel M; Le, Thuy-Linh; Verheij, Joke B G M; Matera, Ivana; Cherny, Stacey S; Nandakumar, Priyanka; Cheong, Hyun Sub; Antinolo, Guillermo; Amiel, Jeanne; Seo, Jeong-Meen; Kim, Dae-Yeon; Oh, Jung-Tak; Lyonnet, Stanislas; Borrego, Salud; Ceccherini, Isabella; Hofstra, Robert M W; Chakravarti, Aravinda; Kim, Hyun-Young; Sham, Pak Chung; Tam, Paul K H; Garcia-Barcelo, Maria-Merce
Hirschsprung disease (HSCR) is the most common cause of neonatal intestinal obstruction. It is characterized by the absence of ganglia in the nerve plexuses of the lower gastrointestinal tract. So far, three common disease-susceptibility variants at the RET, SEMA3 and NRG1 loci have been detected through genome-wide association studies (GWAS) in Europeans and Asians to understand its genetic etiologies. Here we present a trans-ethnic meta-analysis of 507 HSCR cases and 1191 controls, combining all published GWAS results on HSCR to fine-map these loci and narrow down the putatively causal variants to 99% credible sets. We also demonstrate that the effects of RET and NRG1 are universal across European and Asian ancestries. In contrast, we detected a European-specific association of a low-frequency variant, rs80227144, in SEMA3 [odds ratio (OR) = 5.2, P = 4.7 x 10-10]. Conditional analyses on the lead SNPs revealed a secondary association signal, corresponding to an Asian-specific, low-frequency missense variant encoding RET p.Asp489Asn (rs9282834, conditional OR = 20.3, conditional P = 4.1 x 10-14). When in trans with the RET intron 1 enhancer risk allele, rs9282834 increases the risk of HSCR from 1.1 to 26.7. Overall, our study provides further insights into the genetic architecture of HSCR and has profound implications for future study designs.
PMCID:6078638
PMID: 27702942
ISSN: 1460-2083
CID: 2746562
Variant Discovery and Fine Mapping of Genetic Loci Associated with Blood Pressure Traits in Hispanics and African Americans
Franceschini, Nora; Carty, Cara L; Lu, Yingchang; Tao, Ran; Sung, Yun Ju; Manichaikul, Ani; Haessler, Jeff; Fornage, Myriam; Schwander, Karen; Zubair, Niha; Bien, Stephanie; Hindorff, Lucia A; Guo, Xiuqing; Bielinski, Suzette J; Ehret, Georg; Kaufman, Joel D; Rich, Stephen S; Carlson, Christopher S; Bottinger, Erwin P; North, Kari E; Rao, D C; Chakravarti, Aravinda; Barrett, Paula Q; Loos, Ruth J F; Buyske, Steven; Kooperberg, Charles
Despite the substantial burden of hypertension in US minority populations, few genetic studies of blood pressure have been conducted in Hispanics and African Americans, and it is unclear whether many of the established loci identified in European-descent populations contribute to blood pressure variation in non-European descent populations. Using the Metabochip array, we sought to characterize the genetic architecture of previously identified blood pressure loci, and identify novel cardiometabolic variants related to systolic and diastolic blood pressure in a multi-ethnic US population including Hispanics (n = 19,706) and African Americans (n = 18,744). Several known blood pressure loci replicated in African Americans and Hispanics. Fourteen variants in three loci (KCNK3, FGF5, ATXN2-SH2B3) were significantly associated with blood pressure in Hispanics. The most significant diastolic blood pressure variant identified in our analysis, rs2586886/KCNK3 (P = 5.2 x 10-9), also replicated in independent Hispanic and European-descent samples. African American and trans-ethnic meta-analysis data identified novel variants in the FGF5, ULK4 and HOXA-EVX1 loci, which have not been previously associated with blood pressure traits. Our identification and independent replication of variants in KCNK3, a gene implicated in primary hyperaldosteronism, as well as a variant in HOTTIP (HOXA-EVX1) suggest that further work to clarify the roles of these genes may be warranted. Overall, our findings suggest that loci identified in European descent populations also contribute to blood pressure variation in diverse populations including Hispanics and African Americans-populations that are understudied for hypertension genetic risk factors.
PMCID:5063457
PMID: 27736895
ISSN: 1932-6203
CID: 2746552
The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals
Ehret, Georg B; Ferreira, Teresa; Chasman, Daniel I; Jackson, Anne U; Schmidt, Ellen M; Johnson, Toby; Thorleifsson, Gudmar; Luan, Jian'an; Donnelly, Louise A; Kanoni, Stavroula; Petersen, Ann-Kristin; Pihur, Vasyl; Strawbridge, Rona J; Shungin, Dmitry; Hughes, Maria F; Meirelles, Osorio; Kaakinen, Marika; Bouatia-Naji, Nabila; Kristiansson, Kati; Shah, Sonia; Kleber, Marcus E; Guo, Xiuqing; Lyytikainen, Leo-Pekka; Fava, Cristiano; Eriksson, Niclas; Nolte, Ilja M; Magnusson, Patrik K; Salfati, Elias L; Rallidis, Loukianos S; Theusch, Elizabeth; Smith, Andrew J P; Folkersen, Lasse; Witkowska, Kate; Pers, Tune H; Joehanes, Roby; Kim, Stuart K; Lataniotis, Lazaros; Jansen, Rick; Johnson, Andrew D; Warren, Helen; Kim, Young Jin; Zhao, Wei; Wu, Ying; Tayo, Bamidele O; Bochud, Murielle; Absher, Devin; Adair, Linda S; Amin, Najaf; Arking, Dan E; Axelsson, Tomas; Baldassarre, Damiano; Balkau, Beverley; Bandinelli, Stefania; Barnes, Michael R; Barroso, Ines; Bevan, Stephen; Bis, Joshua C; Bjornsdottir, Gyda; Boehnke, Michael; Boerwinkle, Eric; Bonnycastle, Lori L; Boomsma, Dorret I; Bornstein, Stefan R; Brown, Morris J; Burnier, Michel; Cabrera, Claudia P; Chambers, John C; Chang, I-Shou; Cheng, Ching-Yu; Chines, Peter S; Chung, Ren-Hua; Collins, Francis S; Connell, John M; Doring, Angela; Dallongeville, Jean; Danesh, John; de Faire, Ulf; Delgado, Graciela; Dominiczak, Anna F; Doney, Alex S F; Drenos, Fotios; Edkins, Sarah; Eicher, John D; Elosua, Roberto; Enroth, Stefan; Erdmann, Jeanette; Eriksson, Per; Esko, Tonu; Evangelou, Evangelos; Evans, Alun; Fall, Tove; Farrall, Martin; Felix, Janine F; Ferrieres, Jean; Ferrucci, Luigi; Fornage, Myriam; Forrester, Terrence; Franceschini, Nora; Franco, Oscar H; Franco-Cereceda, Anders; Fraser, Ross M; Ganesh, Santhi K; Gao, He; Gertow, Karl; Gianfagna, Francesco; Gigante, Bruna; Giulianini, Franco; Goel, Anuj; Goodall, Alison H; Goodarzi, Mark O; Gorski, Mathias; Grassler, Jurgen; Groves, Christopher J; Gudnason, Vilmundur; Gyllensten, Ulf; Hallmans, Goran; Hartikainen, Anna-Liisa; Hassinen, Maija; Havulinna, Aki S; Hayward, Caroline; Hercberg, Serge; Herzig, Karl-Heinz; Hicks, Andrew A; Hingorani, Aroon D; Hirschhorn, Joel N; Hofman, Albert; Holmen, Jostein; Holmen, Oddgeir Lingaas; Hottenga, Jouke-Jan; Howard, Phil; Hsiung, Chao A; Hunt, Steven C; Ikram, M Arfan; Illig, Thomas; Iribarren, Carlos; Jensen, Richard A; Kahonen, Mika; Kang, Hyun Min; Kathiresan, Sekar; Keating, Brendan J; Khaw, Kay-Tee; Kim, Yun Kyoung; Kim, Eric; Kivimaki, Mika; Klopp, Norman; Kolovou, Genovefa; Komulainen, Pirjo; Kooner, Jaspal S; Kosova, Gulum; Krauss, Ronald M; Kuh, Diana; Kutalik, Zoltan; Kuusisto, Johanna; Kvaloy, Kirsti; Lakka, Timo A; Lee, Nanette R; Lee, I-Te; Lee, Wen-Jane; Levy, Daniel; Li, Xiaohui; Liang, Kae-Woei; Lin, Honghuang; Lin, Li; Lindstrom, Jaana; Lobbens, Stephane; Mannisto, Satu; Muller, Gabriele; Muller-Nurasyid, Martina; Mach, Francois; Markus, Hugh S; Marouli, Eirini; McCarthy, Mark I; McKenzie, Colin A; Meneton, Pierre; Menni, Cristina; Metspalu, Andres; Mijatovic, Vladan; Moilanen, Leena; Montasser, May E; Morris, Andrew D; Morrison, Alanna C; Mulas, Antonella; Nagaraja, Ramaiah; Narisu, Narisu; Nikus, Kjell; O'Donnell, Christopher J; O'Reilly, Paul F; Ong, Ken K; Paccaud, Fred; Palmer, Cameron D; Parsa, Afshin; Pedersen, Nancy L; Penninx, Brenda W; Perola, Markus; Peters, Annette; Poulter, Neil; Pramstaller, Peter P; Psaty, Bruce M; Quertermous, Thomas; Rao, Dabeeru C; Rasheed, Asif; Rayner, N William; Renstrom, Frida; Rettig, Rainer; Rice, Kenneth M; Roberts, Robert; Rose, Lynda M; Rossouw, Jacques; Samani, Nilesh J; Sanna, Serena; Saramies, Jouko; Schunkert, Heribert; Sebert, Sylvain; Sheu, Wayne H-H; Shin, Young-Ah; Sim, Xueling; Smit, Johannes H; Smith, Albert V; Sosa, Maria X; Spector, Tim D; Stancakova, Alena; Stanton, Alice V; Stirrups, Kathleen E; Stringham, Heather M; Sundstrom, Johan; Swift, Amy J; Syvanen, Ann-Christine; Tai, E-Shyong; Tanaka, Toshiko; Tarasov, Kirill V; Teumer, Alexander; Thorsteinsdottir, Unnur; Tobin, Martin D; Tremoli, Elena; Uitterlinden, Andre G; Uusitupa, Matti; Vaez, Ahmad; Vaidya, Dhananjay; van Duijn, Cornelia M; van Iperen, Erik P A; Vasan, Ramachandran S; Verwoert, Germaine C; Virtamo, Jarmo; Vitart, Veronique; Voight, Benjamin F; Vollenweider, Peter; Wagner, Aline; Wain, Louise V; Wareham, Nicholas J; Watkins, Hugh; Weder, Alan B; Westra, Harm-Jan; Wilks, Rainford; Wilsgaard, Tom; Wilson, James F; Wong, Tien Y; Yang, Tsun-Po; Yao, Jie; Yengo, Loic; Zhang, Weihua; Zhao, Jing Hua; Zhu, Xiaofeng; Bovet, Pascal; Cooper, Richard S; Mohlke, Karen L; Saleheen, Danish; Lee, Jong-Young; Elliott, Paul; Gierman, Hinco J; Willer, Cristen J; Franke, Lude; Hovingh, G Kees; Taylor, Kent D; Dedoussis, George; Sever, Peter; Wong, Andrew; Lind, Lars; Assimes, Themistocles L; Njolstad, Inger; Schwarz, Peter E H; Langenberg, Claudia; Snieder, Harold; Caulfield, Mark J; Melander, Olle; Laakso, Markku; Saltevo, Juha; Rauramaa, Rainer; Tuomilehto, Jaakko; Ingelsson, Erik; Lehtimaki, Terho; Hveem, Kristian; Palmas, Walter; Marz, Winfried; Kumari, Meena; Salomaa, Veikko; Chen, Yii-Der I; Rotter, Jerome I; Froguel, Philippe; Jarvelin, Marjo-Riitta; Lakatta, Edward G; Kuulasmaa, Kari; Franks, Paul W; Hamsten, Anders; Wichmann, H-Erich; Palmer, Colin N A; Stefansson, Kari; Ridker, Paul M; Loos, Ruth J F; Chakravarti, Aravinda; Deloukas, Panos; Morris, Andrew P; Newton-Cheh, Christopher; Munroe, Patricia B
To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome-wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure-associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis-regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non-European descent. The 66-SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure-related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.
PMCID:5042863
PMID: 27618452
ISSN: 1546-1718
CID: 2508002
52 Genetic Loci Influencing Myocardial Mass
van der Harst, Pim; van Setten, Jessica; Verweij, Niek; Vogler, Georg; Franke, Lude; Maurano, Matthew T; Wang, Xinchen; Mateo Leach, Irene; Eijgelsheim, Mark; Sotoodehnia, Nona; Hayward, Caroline; Sorice, Rossella; Meirelles, Osorio; Lyytikainen, Leo-Pekka; Polasek, Ozren; Tanaka, Toshiko; Arking, Dan E; Ulivi, Sheila; Trompet, Stella; Muller-Nurasyid, Martina; Smith, Albert V; Dorr, Marcus; Kerr, Kathleen F; Magnani, Jared W; Del Greco M, Fabiola; Zhang, Weihua; Nolte, Ilja M; Silva, Claudia T; Padmanabhan, Sandosh; Tragante, Vinicius; Esko, Tonu; Abecasis, Goncalo R; Adriaens, Michiel E; Andersen, Karl; Barnett, Phil; Bis, Joshua C; Bodmer, Rolf; Buckley, Brendan M; Campbell, Harry; Cannon, Megan V; Chakravarti, Aravinda; Chen, Lin Y; Delitala, Alessandro; Devereux, Richard B; Doevendans, Pieter A; Dominiczak, Anna F; Ferrucci, Luigi; Ford, Ian; Gieger, Christian; Harris, Tamara B; Haugen, Eric; Heinig, Matthias; Hernandez, Dena G; Hillege, Hans L; Hirschhorn, Joel N; Hofman, Albert; Hubner, Norbert; Hwang, Shih-Jen; Iorio, Annamaria; Kahonen, Mika; Kellis, Manolis; Kolcic, Ivana; Kooner, Ishminder K; Kooner, Jaspal S; Kors, Jan A; Lakatta, Edward G; Lage, Kasper; Launer, Lenore J; Levy, Daniel; Lundby, Alicia; Macfarlane, Peter W; May, Dalit; Meitinger, Thomas; Metspalu, Andres; Nappo, Stefania; Naitza, Silvia; Neph, Shane; Nord, Alex S; Nutile, Teresa; Okin, Peter M; Olsen, Jesper V; Oostra, Ben A; Penninger, Josef M; Pennacchio, Len A; Pers, Tune H; Perz, Siegfried; Peters, Annette; Pinto, Yigal M; Pfeufer, Arne; Pilia, Maria Grazia; Pramstaller, Peter P; Prins, Bram P; Raitakari, Olli T; Raychaudhuri, Soumya; Rice, Ken M; Rossin, Elizabeth J; Rotter, Jerome I; Schafer, Sebastian; Schlessinger, David; Schmidt, Carsten O; Sehmi, Jobanpreet; Sillje, Herman H W; Sinagra, Gianfranco; Sinner, Moritz F; Slowikowski, Kamil; Soliman, Elsayed Z; Spector, Timothy D; Spiering, Wilko; Stamatoyannopoulos, John A; Stolk, Ronald P; Strauch, Konstantin; Tan, Sian-Tsung; Tarasov, Kirill V; Trinh, Bosco; Uitterlinden, Andre G; van den Boogaard, Malou; van Duijn, Cornelia M; van Gilst, Wiek H; Viikari, Jorma S; Visscher, Peter M; Vitart, Veronique; Volker, Uwe; Waldenberger, Melanie; Weichenberger, Christian X; Westra, Harm-Jan; Wijmenga, Cisca; Wolffenbuttel, Bruce H; Yang, Jian; Bezzina, Connie R; Munroe, Patricia B; Snieder, Harold; Wright, Alan F; Rudan, Igor; Boyer, Laurie A; Asselbergs, Folkert W; van Veldhuisen, Dirk J; Stricker, Bruno H; Psaty, Bruce M; Ciullo, Marina; Sanna, Serena; Lehtimaki, Terho; Wilson, James F; Bandinelli, Stefania; Alonso, Alvaro; Gasparini, Paolo; Jukema, J Wouter; Kaab, Stefan; Gudnason, Vilmundur; Felix, Stephan B; Heckbert, Susan R; de Boer, Rudolf A; Newton-Cheh, Christopher; Hicks, Andrew A; Chambers, John C; Jamshidi, Yalda; Visel, Axel; Christoffels, Vincent M; Isaacs, Aaron; Samani, Nilesh J; de Bakker, Paul I W
BACKGROUND: Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death. OBJECTIVES: This meta-analysis sought to gain insights into the genetic determinants of myocardial mass. METHODS: We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment. RESULTS: We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p < 1 x 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67 candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in vitro and in vivo. CONCLUSIONS: Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.
PMCID:5478167
PMID: 27659466
ISSN: 1558-3597
CID: 2254952
The Genome Project-Write
Boeke, Jef D; Church, George; Hessel, Andrew; Kelley, Nancy J; Arkin, Adam; Cai, Yizhi; Carlson, Rob; Chakravarti, Aravinda; Cornish, Virginia W; Holt, Liam; Isaacs, Farren J; Kuiken, Todd; Lajoie, Marc; Lessor, Tracy; Lunshof, Jeantine; Maurano, Matthew T; Mitchell, Leslie A; Rine, Jasper; Rosser, Susan; Sanjana, Neville E; Silver, Pamela A; Valle, David; Wang, Harris; Way, Jeffrey C; Yang, Luhan
PMID: 27256881
ISSN: 1095-9203
CID: 2126732
Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder
Maier, Robert; Moser, Gerhard; Chen, Guo-Bo; Ripke, Stephan; Coryell, William; Potash, James B; Scheftner, William A; Shi, Jianxin; Weissman, Myrna M; Hultman, Christina M; Landen, Mikael; Levinson, Douglas F; Kendler, Kenneth S; Smoller, Jordan W; Wray, Naomi R; Lee, S Hong; [Chakravarti, Aravinda]
Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk.
PMCID:4320268
PMID: 25640677
ISSN: 1537-6605
CID: 3988832
A global reference for human genetic variation
Auton, Adam; Brooks, Lisa D; Durbin, Richard M; Garrison, Erik P; Kang, Hyun Min; Korbel, Jan O; Marchini, Jonathan L; McCarthy, Shane; McVean, Gil A; Abecasis, Gonsalo R; [Chakravarti, Aravinda]
The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
PMID: 26432245
ISSN: 1476-4687
CID: 3988682
Biological interpretation of genome-wide association studies using predicted gene functions
Pers, Tune H; Karjalainen, Juha M; Chan, Yingleong; Westra, Harm-Jan; Wood, Andrew R; Yang, Jian; Lui, Julian C; Vedantam, Sailaja; Gustafsson, Stefan; Esko, Tonu; Frayling, Tim; Speliotes, Elizabeth K; Boehnke, Michael; Raychaudhuri, Soumya; Fehrmann, Rudolf S N; Hirschhorn, Joel N; Franke, Lude; [Chakravarti, Aravinda]
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
PMCID:4420238
PMID: 25597830
ISSN: 2041-1723
CID: 3988862
Genetic studies of body mass index yield new insights for obesity biology
Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltan; Luan, Jian'an; Magi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Asa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stancakova, Alena; Strawbridge, Rona J; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loic; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Arnlov, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Bluher, Matthias; Bohringer, Stefan; Bonnycastle, Lori L; Bottcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Chen, Yii-Der Ida; Clarke, Robert; Daw, E Warwick; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jorgen; Grallert, Harald; Grammer, Tanja B; Grassler, Jurgen; Gronberg, Henrik; Groves, Christopher J; Gusto, Gaelle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Asa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindstrom, Jaana; Lo, Ken Sin; Lobbens, Stephane; Lorbeer, Roberto; Lu, Yingchang; Mach, Francois; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Muller, Gabriele; Muller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nothen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundstrom, Johan; Swertz, Morris A; Swift, Amy J; Syvanen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gadin, Jesper R; Gharavi, Ali G; 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Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
PMCID:4382211
PMID: 25673413
ISSN: 1476-4687
CID: 2746772
