@article {6091, title = {Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.}, journal = {Nat Genet}, volume = {44}, year = {2012}, month = {2012 Sep}, pages = {991-1005}, abstract = {

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

}, keywords = {Adult, Animals, Blood Glucose, Fasting, Female, Gene Frequency, Genome-Wide Association Study, Humans, Insulin, Male, Metabolic Networks and Pathways, Mice, Osmolar Concentration, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.2385}, author = {Scott, Robert A and Lagou, Vasiliki and Welch, Ryan P and Wheeler, Eleanor and Montasser, May E and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Strawbridge, Rona J and Rehnberg, Emil and Gustafsson, Stefan and Kanoni, Stavroula and Rasmussen-Torvik, Laura J and Yengo, Loic and Lecoeur, C{\'e}cile and Shungin, Dmitry and Sanna, Serena and Sidore, Carlo and Johnson, Paul C D and Jukema, J Wouter and Johnson, Toby and Mahajan, Anubha and Verweij, Niek and Thorleifsson, Gudmar and Hottenga, Jouke-Jan and Shah, Sonia and Smith, Albert V and Sennblad, Bengt and Gieger, Christian and Salo, Perttu and Perola, Markus and Timpson, Nicholas J and Evans, David M and Pourcain, Beate St and Wu, Ying and Andrews, Jeanette S and Hui, Jennie and Bielak, Lawrence F and Zhao, Wei and Horikoshi, Momoko and Navarro, Pau and Isaacs, Aaron and O{\textquoteright}Connell, Jeffrey R and Stirrups, Kathleen and Vitart, Veronique and Hayward, Caroline and Esko, T{\~o}nu and Mihailov, Evelin and Fraser, Ross M and Fall, Tove and Voight, Benjamin F and Raychaudhuri, Soumya and Chen, Han and Lindgren, Cecilia M and Morris, Andrew P and Rayner, Nigel W and Robertson, Neil and Rybin, Denis and Liu, Ching-Ti and Beckmann, Jacques S and Willems, Sara M and Chines, Peter S and Jackson, Anne U and Kang, Hyun Min and Stringham, Heather M and Song, Kijoung and Tanaka, Toshiko and Peden, John F and Goel, Anuj and Hicks, Andrew A and An, Ping and M{\"u}ller-Nurasyid, Martina and Franco-Cereceda, Anders and Folkersen, Lasse and Marullo, Letizia and Jansen, Hanneke and Oldehinkel, Albertine J and Bruinenberg, Marcel and Pankow, James S and North, Kari E and Forouhi, Nita G and Loos, Ruth J F and Edkins, Sarah and Varga, Tibor V and Hallmans, G{\"o}ran and Oksa, Heikki and Antonella, Mulas and Nagaraja, Ramaiah and Trompet, Stella and Ford, Ian and Bakker, Stephan J L and Kong, Augustine and Kumari, Meena and Gigante, Bruna and Herder, Christian and Munroe, Patricia B and Caulfield, Mark and Antti, Jula and Mangino, Massimo and Small, Kerrin and Miljkovic, Iva and Liu, Yongmei and Atalay, Mustafa and Kiess, Wieland and James, Alan L and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Palmer, Colin N A and Doney, Alex S F and Willemsen, Gonneke and Smit, Johannes H and Campbell, Susan and Polasek, Ozren and Bonnycastle, Lori L and Hercberg, Serge and Dimitriou, Maria and Bolton, Jennifer L and Fowkes, Gerard R and Kovacs, Peter and Lindstr{\"o}m, Jaana and Zemunik, Tatijana and Bandinelli, Stefania and Wild, Sarah H and Basart, Hanneke V and Rathmann, Wolfgang and Grallert, Harald and Maerz, Winfried and Kleber, Marcus E and Boehm, Bernhard O and Peters, Annette and Pramstaller, Peter P and Province, Michael A and Borecki, Ingrid B and Hastie, Nicholas D and Rudan, Igor and Campbell, Harry and Watkins, Hugh and Farrall, Martin and Stumvoll, Michael and Ferrucci, Luigi and Waterworth, Dawn M and Bergman, Richard N and Collins, Francis S and Tuomilehto, Jaakko and Watanabe, Richard M and de Geus, Eco J C and Penninx, Brenda W and Hofman, Albert and Oostra, Ben A and Psaty, Bruce M and Vollenweider, Peter and Wilson, James F and Wright, Alan F and Hovingh, G Kees and Metspalu, Andres and Uusitupa, Matti and Magnusson, Patrik K E and Kyvik, Kirsten O and Kaprio, Jaakko and Price, Jackie F and Dedoussis, George V and Deloukas, Panos and Meneton, Pierre and Lind, Lars and Boehnke, Michael and Shuldiner, Alan R and van Duijn, Cornelia M and Morris, Andrew D and Toenjes, Anke and Peyser, Patricia A and Beilby, John P and K{\"o}rner, Antje and Kuusisto, Johanna and Laakso, Markku and Bornstein, Stefan R and Schwarz, Peter E H and Lakka, Timo A and Rauramaa, Rainer and Adair, Linda S and Smith, George Davey and Spector, Tim D and Illig, Thomas and de Faire, Ulf and Hamsten, Anders and Gudnason, Vilmundur and Kivimaki, Mika and Hingorani, Aroon and Keinanen-Kiukaanniemi, Sirkka M and Saaristo, Timo E and Boomsma, Dorret I and Stefansson, Kari and van der Harst, Pim and Dupuis, Jos{\'e}e and Pedersen, Nancy L and Sattar, Naveed and Harris, Tamara B and Cucca, Francesco and Ripatti, Samuli and Salomaa, Veikko and Mohlke, Karen L and Balkau, Beverley and Froguel, Philippe and Pouta, Anneli and Jarvelin, Marjo-Riitta and Wareham, Nicholas J and Bouatia-Naji, Nabila and McCarthy, Mark I and Franks, Paul W and Meigs, James B and Teslovich, Tanya M and Florez, Jose C and Langenberg, Claudia and Ingelsson, Erik and Prokopenko, Inga and Barroso, In{\^e}s} } @article {6287, title = {Genome-wide association of body fat distribution in African ancestry populations suggests new loci.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003681}, abstract = {

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0 {\texttimes} 10(-6) were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24{\texttimes}10(-8) for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48{\texttimes}10(-8) for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 {\texttimes} 10(-8); RREB1: p = 5.7 {\texttimes} 10(-8)). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

}, keywords = {Adiposity, African Continental Ancestry Group, Body Fat Distribution, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003681}, author = {Liu, Ching-Ti and Monda, Keri L and Taylor, Kira C and Lange, Leslie and Demerath, Ellen W and Palmas, Walter and Wojczynski, Mary K and Ellis, Jaclyn C and Vitolins, Mara Z and Liu, Simin and Papanicolaou, George J and Irvin, Marguerite R and Xue, Luting and Griffin, Paula J and Nalls, Michael A and Adeyemo, Adebowale and Liu, Jiankang and Li, Guo and Ruiz-Narvaez, Edward A and Chen, Wei-Min and Chen, Fang and Henderson, Brian E and Millikan, Robert C and Ambrosone, Christine B and Strom, Sara S and Guo, Xiuqing and Andrews, Jeanette S and Sun, Yan V and Mosley, Thomas H and Yanek, Lisa R and Shriner, Daniel and Haritunians, Talin and Rotter, Jerome I and Speliotes, Elizabeth K and Smith, Megan and Rosenberg, Lynn and Mychaleckyj, Josyf and Nayak, Uma and Spruill, Ida and Garvey, W Timothy and Pettaway, Curtis and Nyante, Sarah and Bandera, Elisa V and Britton, Angela F and Zonderman, Alan B and Rasmussen-Torvik, Laura J and Chen, Yii-Der Ida and Ding, Jingzhong and Lohman, Kurt and Kritchevsky, Stephen B and Zhao, Wei and Peyser, Patricia A and Kardia, Sharon L R and Kabagambe, Edmond and Broeckel, Ulrich and Chen, Guanjie and Zhou, Jie and Wassertheil-Smoller, Sylvia and Neuhouser, Marian L and Rampersaud, Evadnie and Psaty, Bruce and Kooperberg, Charles and Manson, JoAnn E and Kuller, Lewis H and Ochs-Balcom, Heather M and Johnson, Karen C and Sucheston, Lara and Ordovas, Jose M and Palmer, Julie R and Haiman, Christopher A and McKnight, Barbara and Howard, Barbara V and Becker, Diane M and Bielak, Lawrence F and Liu, Yongmei and Allison, Matthew A and Grant, Struan F A and Burke, Gregory L and Patel, Sanjay R and Schreiner, Pamela J and Borecki, Ingrid B and Evans, Michele K and Taylor, Herman and Sale, Mich{\`e}le M and Howard, Virginia and Carlson, Christopher S and Rotimi, Charles N and Cushman, Mary and Harris, Tamara B and Reiner, Alexander P and Cupples, L Adrienne and North, Kari E and Fox, Caroline S} } @article {6078, title = {A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Jun}, pages = {690-6}, abstract = {

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 {\texttimes} 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 {\texttimes} 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 {\texttimes} 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 {\texttimes} 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

}, keywords = {African Americans, Body Mass Index, Case-Control Studies, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Obesity, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.2608}, author = {Monda, Keri L and Chen, Gary K and Taylor, Kira C and Palmer, Cameron and Edwards, Todd L and Lange, Leslie A and Ng, Maggie C Y and Adeyemo, Adebowale A and Allison, Matthew A and Bielak, Lawrence F and Chen, Guanjie and Graff, Mariaelisa and Irvin, Marguerite R and Rhie, Suhn K and Li, Guo and Liu, Yongmei and Liu, Youfang and Lu, Yingchang and Nalls, Michael A and Sun, Yan V and Wojczynski, Mary K and Yanek, Lisa R and Aldrich, Melinda C and Ademola, Adeyinka and Amos, Christopher I and Bandera, Elisa V and Bock, Cathryn H and Britton, Angela and Broeckel, Ulrich and Cai, Quiyin and Caporaso, Neil E and Carlson, Chris S and Carpten, John and Casey, Graham and Chen, Wei-Min and Chen, Fang and Chen, Yii-der I and Chiang, Charleston W K and Coetzee, Gerhard A and Demerath, Ellen and Deming-Halverson, Sandra L and Driver, Ryan W and Dubbert, Patricia and Feitosa, Mary F and Feng, Ye and Freedman, Barry I and Gillanders, Elizabeth M and Gottesman, Omri and Guo, Xiuqing and Haritunians, Talin and Harris, Tamara and Harris, Curtis C and Hennis, Anselm J M and Hernandez, Dena G and McNeill, Lorna H and Howard, Timothy D and Howard, Barbara V and Howard, Virginia J and Johnson, Karen C and Kang, Sun J and Keating, Brendan J and Kolb, Suzanne and Kuller, Lewis H and Kutlar, Abdullah and Langefeld, Carl D and Lettre, Guillaume and Lohman, Kurt and Lotay, Vaneet and Lyon, Helen and Manson, JoAnn E and Maixner, William and Meng, Yan A and Monroe, Kristine R and Morhason-Bello, Imran and Murphy, Adam B and Mychaleckyj, Josyf C and Nadukuru, Rajiv and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Wu, Suh-Yuh and Leske, M Cristina and Neslund-Dudas, Christine and Neuhouser, Marian and Nyante, Sarah and Ochs-Balcom, Heather and Ogunniyi, Adesola and Ogundiran, Temidayo O and Ojengbede, Oladosu and Olopade, Olufunmilayo I and Palmer, Julie R and Ruiz-Narvaez, Edward A and Palmer, Nicholette D and Press, Michael F and Rampersaud, Evandine and Rasmussen-Torvik, Laura J and Rodriguez-Gil, Jorge L and Salako, Babatunde and Schadt, Eric E and Schwartz, Ann G and Shriner, Daniel A and Siscovick, David and Smith, Shad B and Wassertheil-Smoller, Sylvia and Speliotes, Elizabeth K and Spitz, Margaret R and Sucheston, Lara and Taylor, Herman and Tayo, Bamidele O and Tucker, Margaret A and Van Den Berg, David J and Edwards, Digna R Velez and Wang, Zhaoming and Wiencke, John K and Winkler, Thomas W and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yang, James J and Levin, Albert M and Young, Taylor R and Zakai, Neil A and Cushman, Mary and Zanetti, Krista A and Zhao, Jing Hua and Zhao, Wei and Zheng, Yonglan and Zhou, Jie and Ziegler, Regina G and Zmuda, Joseph M and Fernandes, Jyotika K and Gilkeson, Gary S and Kamen, Diane L and Hunt, Kelly J and Spruill, Ida J and Ambrosone, Christine B and Ambs, Stefan and Arnett, Donna K and Atwood, Larry and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Blot, William J and Borecki, Ingrid B and Bottinger, Erwin P and Bowden, Donald W and Burke, Gregory and Chanock, Stephen J and Cooper, Richard S and Ding, Jingzhong and Duggan, David and Evans, Michele K and Fox, Caroline and Garvey, W Timothy and Bradfield, Jonathan P and Hakonarson, Hakon and Grant, Struan F A and Hsing, Ann and Chu, Lisa and Hu, Jennifer J and Huo, Dezheng and Ingles, Sue A and John, Esther M and Jordan, Joanne M and Kabagambe, Edmond K and Kardia, Sharon L R and Kittles, Rick A and Goodman, Phyllis J and Klein, Eric A and Kolonel, Laurence N and Le Marchand, Lo{\"\i}c and Liu, Simin and McKnight, Barbara and Millikan, Robert C and Mosley, Thomas H and Padhukasahasram, Badri and Williams, L Keoki and Patel, Sanjay R and Peters, Ulrike and Pettaway, Curtis A and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Rotimi, Charles N and Rybicki, Benjamin A and Sale, Mich{\`e}le M and Schreiner, Pamela J and Signorello, Lisa B and Singleton, Andrew B and Stanford, Janet L and Strom, Sara S and Thun, Michael J and Vitolins, Mara and Zheng, Wei and Moore, Jason H and Williams, Scott M and Ketkar, Shamika and Zhu, Xiaofeng and Zonderman, Alan B and Kooperberg, Charles and Papanicolaou, George J and Henderson, Brian E and Reiner, Alex P and Hirschhorn, Joel N and Loos, Ruth J F and North, Kari E and Haiman, Christopher A} } @article {6690, title = {Genetic diversity is a predictor of mortality in humans.}, journal = {BMC Genet}, volume = {15}, year = {2014}, month = {2014}, pages = {159}, abstract = {

BACKGROUND: It has been well-established, both by population genetics theory and direct observation in many organisms, that increased genetic diversity provides a survival advantage. However, given the limitations of both sample size and genome-wide metrics, this hypothesis has not been comprehensively tested in human populations. Moreover, the presence of numerous segregating small effect alleles that influence traits that directly impact health directly raises the question as to whether global measures of genomic variation are themselves associated with human health and disease.

RESULTS: We performed a meta-analysis of 17 cohorts followed prospectively, with a combined sample size of 46,716 individuals, including a total of 15,234 deaths. We find a significant association between increased heterozygosity and survival (P = 0.03). We estimate that within a single population, every standard deviation of heterozygosity an individual has over the mean decreases that person{\textquoteright}s risk of death by 1.57\%.

CONCLUSIONS: This effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival.

}, keywords = {Genome-Wide Association Study, Heterozygote, Humans, Mortality, Polymorphism, Single Nucleotide, Proportional Hazards Models}, issn = {1471-2156}, doi = {10.1186/s12863-014-0159-7}, author = {Bihlmeyer, Nathan A and Brody, Jennifer A and Smith, Albert Vernon and Lunetta, Kathryn L and Nalls, Mike and Smith, Jennifer A and Tanaka, Toshiko and Davies, Gail and Yu, Lei and Mirza, Saira Saeed and Teumer, Alexander and Coresh, Josef and Pankow, James S and Franceschini, Nora and Scaria, Anish and Oshima, Junko and Psaty, Bruce M and Gudnason, Vilmundur and Eiriksdottir, Gudny and Harris, Tamara B and Li, Hanyue and Karasik, David and Kiel, Douglas P and Garcia, Melissa and Liu, Yongmei and Faul, Jessica D and Kardia, Sharon Lr and Zhao, Wei and Ferrucci, Luigi and Allerhand, Michael and Liewald, David C and Redmond, Paul and Starr, John M and De Jager, Philip L and Evans, Denis A and Direk, Nese and Ikram, Mohammed Arfan and Uitterlinden, Andre and Homuth, Georg and Lorbeer, Roberto and Grabe, Hans J and Launer, Lenore and Murabito, Joanne M and Singleton, Andrew B and Weir, David R and Bandinelli, Stefania and Deary, Ian J and Bennett, David A and Tiemeier, Henning and Kocher, Thomas and Lumley, Thomas and Arking, Dan E} } @article {6585, title = {Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.}, journal = {PLoS Genet}, volume = {10}, year = {2014}, month = {2014 Aug}, pages = {e1004517}, abstract = {

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 {\texttimes} 10(-94)}, keywords = {African Americans, Diabetes Mellitus, Type 2, Genome-Wide Association Study, HLA-B27 Antigen, HMGA2 Protein, Humans, KCNQ1 Potassium Channel, Mutant Chimeric Proteins, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1004517}, author = {Ng, Maggie C Y and Shriner, Daniel and Chen, Brian H and Li, Jiang and Chen, Wei-Min and Guo, Xiuqing and Liu, Jiankang and Bielinski, Suzette J and Yanek, Lisa R and Nalls, Michael A and Comeau, Mary E and Rasmussen-Torvik, Laura J and Jensen, Richard A and Evans, Daniel S and Sun, Yan V and An, Ping and Patel, Sanjay R and Lu, Yingchang and Long, Jirong and Armstrong, Loren L and Wagenknecht, Lynne and Yang, Lingyao and Snively, Beverly M and Palmer, Nicholette D and Mudgal, Poorva and Langefeld, Carl D and Keene, Keith L and Freedman, Barry I and Mychaleckyj, Josyf C and Nayak, Uma and Raffel, Leslie J and Goodarzi, Mark O and Chen, Y-D Ida and Taylor, Herman A and Correa, Adolfo and Sims, Mario and Couper, David and Pankow, James S and Boerwinkle, Eric and Adeyemo, Adebowale and Doumatey, Ayo and Chen, Guanjie and Mathias, Rasika A and Vaidya, Dhananjay and Singleton, Andrew B and Zonderman, Alan B and Igo, Robert P and Sedor, John R and Kabagambe, Edmond K and Siscovick, David S and McKnight, Barbara and Rice, Kenneth and Liu, Yongmei and Hsueh, Wen-Chi and Zhao, Wei and Bielak, Lawrence F and Kraja, Aldi and Province, Michael A and Bottinger, Erwin P and Gottesman, Omri and Cai, Qiuyin and Zheng, Wei and Blot, William J and Lowe, William L and Pacheco, Jennifer A and Crawford, Dana C and Grundberg, Elin and Rich, Stephen S and Hayes, M Geoffrey and Shu, Xiao-Ou and Loos, Ruth J F and Borecki, Ingrid B and Peyser, Patricia A and Cummings, Steven R and Psaty, Bruce M and Fornage, Myriam and Iyengar, Sudha K and Evans, Michele K and Becker, Diane M and Kao, W H Linda and Wilson, James G and Rotter, Jerome I and Sale, Mich{\`e}le M and Liu, Simin and Rotimi, Charles N and Bowden, Donald W} } @article {6552, title = {Meta-analysis of loci associated with age at natural menopause in African-American women.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Jun 15}, pages = {3327-42}, abstract = {

Age at menopause marks the end of a woman{\textquoteright}s reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.

}, keywords = {African Americans, Age Factors, Chromosomes, Human, European Continental Ancestry Group, Female, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Menopause, United States}, issn = {1460-2083}, doi = {10.1093/hmg/ddu041}, author = {Chen, Christina T L and Liu, Ching-Ti and Chen, Gary K and Andrews, Jeanette S and Arnold, Alice M and Dreyfus, Jill and Franceschini, Nora and Garcia, Melissa E and Kerr, Kathleen F and Li, Guo and Lohman, Kurt K and Musani, Solomon K and Nalls, Michael A and Raffel, Leslie J and Smith, Jennifer and Ambrosone, Christine B and Bandera, Elisa V and Bernstein, Leslie and Britton, Angela and Brzyski, Robert G and Cappola, Anne and Carlson, Christopher S and Couper, David and Deming, Sandra L and Goodarzi, Mark O and Heiss, Gerardo and John, Esther M and Lu, Xiaoning and Le Marchand, Lo{\"\i}c and Marciante, Kristin and McKnight, Barbara and Millikan, Robert and Nock, Nora L and Olshan, Andrew F and Press, Michael F and Vaiyda, Dhananjay and Woods, Nancy F and Taylor, Herman A and Zhao, Wei and Zheng, Wei and Evans, Michele K and Harris, Tamara B and Henderson, Brian E and Kardia, Sharon L R and Kooperberg, Charles and Liu, Yongmei and Mosley, Thomas H and Psaty, Bruce and Wellons, Melissa and Windham, Beverly G and Zonderman, Alan B and Cupples, L Adrienne and Demerath, Ellen W and Haiman, Christopher and Murabito, Joanne M and Rajkovic, Aleksandar} } @article {6684, title = {Genome-wide studies of verbal declarative memory in nondemented older people: the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Biol Psychiatry}, volume = {77}, year = {2015}, month = {2015 Apr 15}, pages = {749-63}, abstract = {

BACKGROUND: Memory performance in older persons can reflect genetic influences on cognitive function and dementing processes. We aimed to identify genetic contributions to verbal declarative memory in a community setting.

METHODS: We conducted genome-wide association studies for paragraph or word list delayed recall in 19 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, comprising 29,076 dementia- and stroke-free individuals of European descent, aged >=45 years. Replication of suggestive associations (p < 5 {\texttimes} 10(-6)) was sought in 10,617 participants of European descent, 3811 African-Americans, and 1561 young adults.

RESULTS: rs4420638, near APOE, was associated with poorer delayed recall performance in discovery (p = 5.57 {\texttimes} 10(-10)) and replication cohorts (p = 5.65 {\texttimes} 10(-8)). This association was stronger for paragraph than word list delayed recall and in the oldest persons. Two associations with specific tests, in subsets of the total sample, reached genome-wide significance in combined analyses of discovery and replication (rs11074779 [HS3ST4], p = 3.11 {\texttimes} 10(-8), and rs6813517 [SPOCK3], p = 2.58 {\texttimes} 10(-8)) near genes involved in immune response. A genetic score combining 58 independent suggestive memory risk variants was associated with increasing Alzheimer disease pathology in 725 autopsy samples. Association of memory risk loci with gene expression in 138 human hippocampus samples showed cis-associations with WDR48 and CLDN5, both related to ubiquitin metabolism.

CONCLUSIONS: This largest study to date exploring the genetics of memory function in ~40,000 older individuals revealed genome-wide associations and suggested an involvement of immune and ubiquitin pathways.

}, keywords = {Aged, Aged, 80 and over, Aging, Apolipoproteins E, Claudin-5, Cohort Studies, Female, Genome-Wide Association Study, Genotype, Humans, Male, Memory Disorders, Middle Aged, Polymorphism, Single Nucleotide, Proteins, Proteoglycans, Regression Analysis, Sulfotransferases, Verbal Learning}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2014.08.027}, author = {Debette, Stephanie and Ibrahim Verbaas, Carla A and Bressler, Jan and Schuur, Maaike and Smith, Albert and Bis, Joshua C and Davies, Gail and Wolf, Christiane and Gudnason, Vilmundur and Chibnik, Lori B and Yang, Qiong and DeStefano, Anita L and de Quervain, Dominique J F and Srikanth, Velandai and Lahti, Jari and Grabe, Hans J and Smith, Jennifer A and Priebe, Lutz and Yu, Lei and Karbalai, Nazanin and Hayward, Caroline and Wilson, James F and Campbell, Harry and Petrovic, Katja and Fornage, Myriam and Chauhan, Ganesh and Yeo, Robin and Boxall, Ruth and Becker, James and Stegle, Oliver and Mather, Karen A and Chouraki, Vincent and Sun, Qi and Rose, Lynda M and Resnick, Susan and Oldmeadow, Christopher and Kirin, Mirna and Wright, Alan F and Jonsdottir, Maria K and Au, Rhoda and Becker, Albert and Amin, Najaf and Nalls, Mike A and Turner, Stephen T and Kardia, Sharon L R and Oostra, Ben and Windham, Gwen and Coker, Laura H and Zhao, Wei and Knopman, David S and Heiss, Gerardo and Griswold, Michael E and Gottesman, Rebecca F and Vitart, Veronique and Hastie, Nicholas D and Zgaga, Lina and Rudan, Igor and Polasek, Ozren and Holliday, Elizabeth G and Schofield, Peter and Choi, Seung Hoan and Tanaka, Toshiko and An, Yang and Perry, Rodney T and Kennedy, Richard E and Sale, Mich{\`e}le M and Wang, Jing and Wadley, Virginia G and Liewald, David C and Ridker, Paul M and Gow, Alan J and Pattie, Alison and Starr, John M and Porteous, David and Liu, Xuan and Thomson, Russell and Armstrong, Nicola J and Eiriksdottir, Gudny and Assareh, Arezoo A and Kochan, Nicole A and Widen, Elisabeth and Palotie, Aarno and Hsieh, Yi-Chen and Eriksson, Johan G and Vogler, Christian and van Swieten, John C and Shulman, Joshua M and Beiser, Alexa and Rotter, Jerome and Schmidt, Carsten O and Hoffmann, Wolfgang and N{\"o}then, Markus M and Ferrucci, Luigi and Attia, John and Uitterlinden, Andr{\'e} G and Amouyel, Philippe and Dartigues, Jean-Fran{\c c}ois and Amieva, H{\'e}l{\`e}ne and R{\"a}ikk{\"o}nen, Katri and Garcia, Melissa and Wolf, Philip A and Hofman, Albert and Longstreth, W T and Psaty, Bruce M and Boerwinkle, Eric and DeJager, Philip L and Sachdev, Perminder S and Schmidt, Reinhold and Breteler, Monique M B and Teumer, Alexander and Lopez, Oscar L and Cichon, Sven and Chasman, Daniel I and Grodstein, Francine and M{\"u}ller-Myhsok, Bertram and Tzourio, Christophe and Papassotiropoulos, Andreas and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Mosley, Thomas H} } @article {6550, title = {GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Jan}, pages = {110-8}, abstract = {

BACKGROUND: The genetic contribution to longevity in humans has been estimated to range from 15\% to 25\%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.

METHODS: We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age >=90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.

RESULTS: In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 {\texttimes} 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 {\texttimes} 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85{\texttimes}10(-10)).

CONCLUSIONS: We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages >=90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

}, keywords = {Aged, Aged, 80 and over, Apolipoproteins E, Cell Adhesion Molecules, Cohort Studies, Female, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome-Wide Association Study, Humans, Longevity, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Kainic Acid}, issn = {1758-535X}, doi = {10.1093/gerona/glu166}, author = {Broer, Linda and Buchman, Aron S and Deelen, Joris and Evans, Daniel S and Faul, Jessica D and Lunetta, Kathryn L and Sebastiani, Paola and Smith, Jennifer A and Smith, Albert V and Tanaka, Toshiko and Yu, Lei and Arnold, Alice M and Aspelund, Thor and Benjamin, Emelia J and De Jager, Philip L and Eirkisdottir, Gudny and Evans, Denis A and Garcia, Melissa E and Hofman, Albert and Kaplan, Robert C and Kardia, Sharon L R and Kiel, Douglas P and Oostra, Ben A and Orwoll, Eric S and Parimi, Neeta and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Seshadri, Sudha and Singleton, Andrew and Tiemeier, Henning and Uitterlinden, Andr{\'e} G and Zhao, Wei and Bandinelli, Stefania and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Harris, Tamara B and Karasik, David and Launer, Lenore J and Perls, Thomas T and Slagboom, P Eline and Tranah, Gregory J and Weir, David R and Newman, Anne B and van Duijn, Cornelia M and Murabito, Joanne M} } @article {6683, title = {Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.}, journal = {Circ Cardiovasc Genet}, volume = {8}, year = {2015}, month = {2015 Apr}, pages = {398-409}, abstract = {

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7{\texttimes}10(-19)) and identified novel loci on chr10q24 (P=1.6{\texttimes}10(-9)) and chr2p21 (P=4.4{\texttimes}10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0{\texttimes}10(-8)) and chr2p16 (P=1.5{\texttimes}10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Continental Population Groups, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Stroke, White Matter}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.114.000858}, author = {Verhaaren, Benjamin F J and Debette, Stephanie and Bis, Joshua C and Smith, Jennifer A and Ikram, M Kamran and Adams, Hieab H and Beecham, Ashley H and Rajan, Kumar B and Lopez, Lorna M and Barral, Sandra and van Buchem, Mark A and van der Grond, Jeroen and Smith, Albert V and Hegenscheid, Katrin and Aggarwal, Neelum T and de Andrade, Mariza and Atkinson, Elizabeth J and Beekman, Marian and Beiser, Alexa S and Blanton, Susan H and Boerwinkle, Eric and Brickman, Adam M and Bryan, R Nick and Chauhan, Ganesh and Chen, Christopher P L H and Chouraki, Vincent and de Craen, Anton J M and Crivello, Fabrice and Deary, Ian J and Deelen, Joris and De Jager, Philip L and Dufouil, Carole and Elkind, Mitchell S V and Evans, Denis A and Freudenberger, Paul and Gottesman, Rebecca F and Gu{\dh}nason, Vilmundur and Habes, Mohamad and Heckbert, Susan R and Heiss, Gerardo and Hilal, Saima and Hofer, Edith and Hofman, Albert and Ibrahim-Verbaas, Carla A and Knopman, David S and Lewis, Cora E and Liao, Jiemin and Liewald, David C M and Luciano, Michelle and van der Lugt, Aad and Martinez, Oliver O and Mayeux, Richard and Mazoyer, Bernard and Nalls, Mike and Nauck, Matthias and Niessen, Wiro J and Oostra, Ben A and Psaty, Bruce M and Rice, Kenneth M and Rotter, Jerome I and von Sarnowski, Bettina and Schmidt, Helena and Schreiner, Pamela J and Schuur, Maaike and Sidney, Stephen S and Sigurdsson, Sigurdur and Slagboom, P Eline and Stott, David J M and van Swieten, John C and Teumer, Alexander and T{\"o}glhofer, Anna Maria and Traylor, Matthew and Trompet, Stella and Turner, Stephen T and Tzourio, Christophe and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Wang, Jing J and Wong, Tien Y and Wardlaw, Joanna M and Windham, B Gwen and Wittfeld, Katharina and Wolf, Christiane and Wright, Clinton B and Yang, Qiong and Zhao, Wei and Zijdenbos, Alex and Jukema, J Wouter and Sacco, Ralph L and Kardia, Sharon L R and Amouyel, Philippe and Mosley, Thomas H and Longstreth, W T and DeCarli, Charles C and van Duijn, Cornelia M and Schmidt, Reinhold and Launer, Lenore J and Grabe, Hans J and Seshadri, Sudha S and Ikram, M Arfan and Fornage, Myriam} } @article {6991, title = {Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2.}, journal = {Stroke}, volume = {47}, year = {2016}, month = {2016 Feb}, pages = {307-16}, abstract = {

BACKGROUND AND PURPOSE: Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a 2-stage meta-analysis of genome-wide association studies, focusing on stroke cases with an age of onset <60 years.

METHODS: The discovery stage of our genome-wide association studies included 4505 cases and 21 968 controls of European, South-Asian, and African ancestry, drawn from 6 studies. In Stage 2, we selected the lead genetic variants at loci with association P<5{\texttimes}10(-6) and performed in silico association analyses in an independent sample of <=1003 cases and 7745 controls.

RESULTS: One stroke susceptibility locus at 10q25 reached genome-wide significance in the combined analysis of all samples from the discovery and follow-up stages (rs11196288; odds ratio =1.41; P=9.5{\texttimes}10(-9)). The associated locus is in an intergenic region between TCF7L2 and HABP2. In a further analysis in an independent sample, we found that 2 single nucleotide polymorphisms in high linkage disequilibrium with rs11196288 were significantly associated with total plasma factor VII-activating protease levels, a product of HABP2.

CONCLUSIONS: HABP2, which encodes an extracellular serine protease involved in coagulation, fibrinolysis, and inflammatory pathways, may be a genetic susceptibility locus for early-onset stroke.

}, keywords = {Adult, African Continental Ancestry Group, Age of Onset, Aged, Asian Continental Ancestry Group, Brain Ischemia, Chromosomes, Human, Pair 10, Computer Simulation, DNA, Intergenic, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Serine Endopeptidases, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.011328}, author = {Cheng, Yu-Ching and Stanne, Tara M and Giese, Anne-Katrin and Ho, Weang Kee and Traylor, Matthew and Amouyel, Philippe and Holliday, Elizabeth G and Malik, Rainer and Xu, Huichun and Kittner, Steven J and Cole, John W and O{\textquoteright}Connell, Jeffrey R and Danesh, John and Rasheed, Asif and Zhao, Wei and Engelter, Stefan and Grond-Ginsbach, Caspar and Kamatani, Yoichiro and Lathrop, Mark and Leys, Didier and Thijs, Vincent and Metso, Tiina M and Tatlisumak, Turgut and Pezzini, Alessandro and Parati, Eugenio A and Norrving, Bo and Bevan, Steve and Rothwell, Peter M and Sudlow, Cathie and Slowik, Agnieszka and Lindgren, Arne and Walters, Matthew R and Jannes, Jim and Shen, Jess and Crosslin, David and Doheny, Kimberly and Laurie, Cathy C and Kanse, Sandip M and Bis, Joshua C and Fornage, Myriam and Mosley, Thomas H and Hopewell, Jemma C and Strauch, Konstantin and M{\"u}ller-Nurasyid, Martina and Gieger, Christian and Waldenberger, Melanie and Peters, Annette and Meisinger, Christine and Ikram, M Arfan and Longstreth, W T and Meschia, James F and Seshadri, Sudha and Sharma, Pankaj and Worrall, Bradford and Jern, Christina and Levi, Christopher and Dichgans, Martin and Boncoraglio, Giorgio B and Markus, Hugh S and Debette, Stephanie and Rolfs, Arndt and Saleheen, Danish and Mitchell, Braxton D} } @article {7583, title = {DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.}, journal = {Am J Hum Genet}, volume = {101}, year = {2017}, month = {2017 Dec 07}, pages = {888-902}, abstract = {

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0~{\texttimes} 10-7; replication: N = 7,182, p~<~1.6~{\texttimes} 10-3). The replicated methylation sites are heritable (h2 > 30\%) and independent of known BP genetic variants, explaining an additional 1.4\% and 2.0\% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

}, keywords = {Aged, Blood Pressure, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Genetic Variation, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Middle Aged, Nerve Tissue Proteins, Quantitative Trait Loci, Tetraspanins}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2017.09.028}, author = {Richard, Melissa A and Huan, Tianxiao and Ligthart, Symen and Gondalia, Rahul and Jhun, Min A and Brody, Jennifer A and Irvin, Marguerite R and Marioni, Riccardo and Shen, Jincheng and Tsai, Pei-Chien and Montasser, May E and Jia, Yucheng and Syme, Catriona and Salfati, Elias L and Boerwinkle, Eric and Guan, Weihua and Mosley, Thomas H and Bressler, Jan and Morrison, Alanna C and Liu, Chunyu and Mendelson, Michael M and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B and Franco, Oscar H and Zhang, Guosheng and Li, Yun and Stewart, James D and Bis, Joshua C and Psaty, Bruce M and Chen, Yii-Der Ida and Kardia, Sharon L R and Zhao, Wei and Turner, Stephen T and Absher, Devin and Aslibekyan, Stella and Starr, John M and McRae, Allan F and Hou, Lifang and Just, Allan C and Schwartz, Joel D and Vokonas, Pantel S and Menni, Cristina and Spector, Tim D and Shuldiner, Alan and Damcott, Coleen M and Rotter, Jerome I and Palmas, Walter and Liu, Yongmei and Paus, Tom{\'a}{\v s} and Horvath, Steve and O{\textquoteright}Connell, Jeffrey R and Guo, Xiuqing and Pausova, Zdenka and Assimes, Themistocles L and Sotoodehnia, Nona and Smith, Jennifer A and Arnett, Donna K and Deary, Ian J and Baccarelli, Andrea A and Bell, Jordana T and Whitsel, Eric and Dehghan, Abbas and Levy, Daniel and Fornage, Myriam} } @article {7572, title = {Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 May}, pages = {e1006728}, abstract = {

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25{\texttimes}10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

}, keywords = {African Americans, Animals, Basic Helix-Loop-Helix Transcription Factors, Blood Pressure, Cadherins, Case-Control Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Membrane Proteins, Mice, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006728}, author = {Liang, Jingjing and Le, Thu H and Edwards, Digna R Velez and Tayo, Bamidele O and Gaulton, Kyle J and Smith, Jennifer A and Lu, Yingchang and Jensen, Richard A and Chen, Guanjie and Yanek, Lisa R and Schwander, Karen and Tajuddin, Salman M and Sofer, Tamar and Kim, Wonji and Kayima, James and McKenzie, Colin A and Fox, Ervin and Nalls, Michael A and Young, J Hunter and Sun, Yan V and Lane, Jacqueline M and Cechova, Sylvia and Zhou, Jie and Tang, Hua and Fornage, Myriam and Musani, Solomon K and Wang, Heming and Lee, Juyoung and Adeyemo, Adebowale and Dreisbach, Albert W and Forrester, Terrence and Chu, Pei-Lun and Cappola, Anne and Evans, Michele K and Morrison, Alanna C and Martin, Lisa W and Wiggins, Kerri L and Hui, Qin and Zhao, Wei and Jackson, Rebecca D and Ware, Erin B and Faul, Jessica D and Reiner, Alex P and Bray, Michael and Denny, Joshua C and Mosley, Thomas H and Palmas, Walter and Guo, Xiuqing and Papanicolaou, George J and Penman, Alan D and Polak, Joseph F and Rice, Kenneth and Taylor, Ken D and Boerwinkle, Eric and Bottinger, Erwin P and Liu, Kiang and Risch, Neil and Hunt, Steven C and Kooperberg, Charles and Zonderman, Alan B and Laurie, Cathy C and Becker, Diane M and Cai, Jianwen and Loos, Ruth J F and Psaty, Bruce M and Weir, David R and Kardia, Sharon L R and Arnett, Donna K and Won, Sungho and Edwards, Todd L and Redline, Susan and Cooper, Richard S and Rao, D C and Rotter, Jerome I and Rotimi, Charles and Levy, Daniel and Chakravarti, Aravinda and Zhu, Xiaofeng and Franceschini, Nora} } @article {8511, title = {Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans.}, journal = {Mol Genet Genomic Med}, volume = {7}, year = {2019}, month = {2019 10}, pages = {e00788}, abstract = {

BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43\% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography.

METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)-by-drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community-based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE-Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta-analyses of main effects of drugs and 2.5~million SNP-by-drug interaction estimates.

RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p~=~0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE-Is with consistent effects across cohorts (smallest p~=~4.7~{\texttimes}~10 , minor allele frequency range 0.09-0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population.

CONCLUSIONS: Our study identified one locus having genome-wide significant SNP-by-drug interaction effect on RWT among dCCB users in comparison to ACE-I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment.

}, keywords = {African Americans, Angiotensin-Converting Enzyme Inhibitors, Antihypertensive Agents, Calcium Channel Blockers, Humans, Observational Studies as Topic, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Sodium Chloride Symporter Inhibitors, Ventricular Dysfunction, Left}, issn = {2324-9269}, doi = {10.1002/mgg3.788}, author = {Do, Anh N and Zhao, Wei and Baldridge, Abigail S and Raffield, Laura M and Wiggins, Kerri L and Shah, Sanjiv J and Aslibekyan, Stella and Tiwari, Hemant K and Limdi, Nita and Zhi, Degui and Sitlani, Colleen M and Taylor, Kent D and Psaty, Bruce M and Sotoodehnia, Nona and Brody, Jennifer A and Rasmussen-Torvik, Laura J and Lloyd-Jones, Donald and Lange, Leslie A and Wilson, James G and Smith, Jennifer A and Kardia, Sharon L R and Mosley, Thomas H and Vasan, Ramachandran S and Arnett, Donna K and Irvin, Marguerite R} } @article {7976, title = {Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 01 22}, pages = {376}, abstract = {

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Brazil, Calcium-Binding Proteins, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Exercise, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Hispanic Americans, Humans, LIM-Homeodomain Proteins, Lipid Metabolism, Lipids, Male, Membrane Proteins, Microtubule-Associated Proteins, Middle Aged, Muscle Proteins, Nerve Tissue Proteins, Transcription Factors, Triglycerides, Young Adult}, issn = {2041-1723}, doi = {10.1038/s41467-018-08008-w}, author = {Kilpel{\"a}inen, Tuomas O and Bentley, Amy R and Noordam, Raymond and Sung, Yun Ju and Schwander, Karen and Winkler, Thomas W and Jakupovi{\'c}, Hermina and Chasman, Daniel I and Manning, Alisa and Ntalla, Ioanna and Aschard, Hugues and Brown, Michael R and de Las Fuentes, Lisa and Franceschini, Nora and Guo, Xiuqing and Vojinovic, Dina and Aslibekyan, Stella and Feitosa, Mary F and Kho, Minjung and Musani, Solomon K and Richard, Melissa and Wang, Heming and Wang, Zhe and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Li, Changwei and Lohman, Kurt K and Marten, Jonathan and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Graff, Mariaelisa and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and Zhao, Jing Hua and Kraja, Aldi T and Kuhnel, Brigitte and Laguzzi, Federica and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Rueedi, Rico and Stringham, Heather M and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Verweij, Niek and Ware, Erin B and Wen, Wanqing and Li, Xiaoyin and Yanek, Lisa R and Amin, Najaf and Arnett, Donna K and Boerwinkle, Eric and Brumat, Marco and Cade, Brian and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Concas, Maria Pina and Connell, John and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Demirkan, Ayse and Ding, Jingzhong and Eaton, Charles B and Faul, Jessica D and Friedlander, Yechiel and Gabriel, Kelley P and Ghanbari, Mohsen and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven C and Ikram, M Arfan and Jonas, Jost B and Koh, Woon-Puay and Komulainen, Pirjo and Krieger, Jose E and Kritchevsky, Stephen B and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Leander, Karin and Lemaitre, Rozenn N and Lewis, Cora E and Liang, Jingjing and Liu, Jianjun and M{\"a}gi, Reedik and Manichaikul, Ani and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Mohlke, Karen L and Mosley, Thomas H and Murray, Alison D and Nalls, Mike A and Nang, Ei-Ei Khaing and Nelson, Christopher P and Nona, Sotoodehnia and Norris, Jill M and Nwuba, Chiamaka Vivian and O{\textquoteright}Connell, Jeff and Palmer, Nicholette D and Papanicolau, George J and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Poveda, Alaitz and Raitakari, Olli T and Rich, Stephen S and Risch, Neil and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schreiner, Pamela J and Scott, Robert A and Sidney, Stephen S and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Sofer, Tamar and Starr, John M and Sternfeld, Barbara and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Tsai, Michael Y and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and van der Ende, M Yldau and van Heemst, Diana and Voortman, Trudy and Waldenberger, Melanie and Wennberg, Patrik and Wilson, Gregory and Xiang, Yong-Bing and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Kato, Norihiro and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Samani, Nilesh J and Shu, Xiao-Ou and van der Harst, Pim and van Vliet-Ostaptchouk, Jana V and Vollenweider, Peter and Wagenknecht, Lynne E and Wang, Ya X and Wareham, Nicholas J and Weir, David R and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Evans, Michele K and Franks, Paul W and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Liu, Yongmei and North, Kari E and Pereira, Alexandre C and Ridker, Paul M and Tai, E Shyong and van Dam, Rob M and Fox, Ervin R and Kardia, Sharon L R and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Redline, Susan and van Duijn, Cornelia M and Rotter, Jerome I and Kooperberg, Charles B and Gauderman, W James and Psaty, Bruce M and Rice, Kenneth and Munroe, Patricia B and Fornage, Myriam and Cupples, L Adrienne and Rotimi, Charles N and Morrison, Alanna C and Rao, Dabeeru C and Loos, Ruth J F} } @article {8988, title = {Association of low-frequency and rare coding variants with information processing speed.}, journal = {Transl Psychiatry}, volume = {11}, year = {2021}, month = {2021 12 04}, pages = {613}, abstract = {

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67\%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 {\texttimes} 10) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

}, keywords = {Adult, Aging, Cognition, Genome-Wide Association Study, Geroscience, Humans, Polymorphism, Single Nucleotide, Ubiquitin-Protein Ligases}, issn = {2158-3188}, doi = {10.1038/s41398-021-01736-6}, author = {Bressler, Jan and Davies, Gail and Smith, Albert V and Saba, Yasaman and Bis, Joshua C and Jian, Xueqiu and Hayward, Caroline and Yanek, Lisa and Smith, Jennifer A and Mirza, Saira S and Wang, Ruiqi and Adams, Hieab H H and Becker, Diane and Boerwinkle, Eric and Campbell, Archie and Cox, Simon R and Eiriksdottir, Gudny and Fawns-Ritchie, Chloe and Gottesman, Rebecca F and Grove, Megan L and Guo, Xiuqing and Hofer, Edith and Kardia, Sharon L R and Knol, Maria J and Koini, Marisa and Lopez, Oscar L and Marioni, Riccardo E and Nyquist, Paul and Pattie, Alison and Polasek, Ozren and Porteous, David J and Rudan, Igor and Satizabal, Claudia L and Schmidt, Helena and Schmidt, Reinhold and Sidney, Stephen and Simino, Jeannette and Smith, Blair H and Turner, Stephen T and van der Lee, Sven J and Ware, Erin B and Whitmer, Rachel A and Yaffe, Kristine and Yang, Qiong and Zhao, Wei and Gudnason, Vilmundur and Launer, Lenore J and Fitzpatrick, Annette L and Psaty, Bruce M and Fornage, Myriam and Arfan Ikram, M and van Duijn, Cornelia M and Seshadri, Sudha and Mosley, Thomas H and Deary, Ian J} } @article {9006, title = {Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7173}, abstract = {

Elevated serum urate levels, a complex trait and major risk factor for incident gout, are~correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6\% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.

}, keywords = {Amino Acid Transport System y+, Cohort Studies, CpG Islands, DNA Methylation, Epigenome, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glucose Transport Proteins, Facilitative, Gout, Humans, Male, Uric Acid}, issn = {2041-1723}, doi = {10.1038/s41467-021-27198-4}, author = {Tin, Adrienne and Schlosser, Pascal and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Yu, Zhi and Weihs, Antoine and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Kuhns, Victoria L Halperin and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Bressler, Jan and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and Delgado, Graciela E and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Floyd, James S and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Gelber, Allan C and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kronenberg, Florian and Kuhnel, Brigitte and Ladd-Acosta, Christine and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Lloyd-Jones, Donald M and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and V{\"o}lker, Uwe and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Waldenberger, Melanie and Levy, Daniel and Akilesh, Shreeram and Woodward, Owen M and Susztak, Katalin and Teumer, Alexander and K{\"o}ttgen, Anna} } @article {9002, title = {Meta-analyses identify DNA methylation associated with kidney function and damage.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7174}, abstract = {

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.

}, keywords = {Adult, Aged, CpG Islands, DNA Methylation, Female, Glomerular Filtration Rate, Humans, Interferon Regulatory Factors, Kidney, Kidney Function Tests, LIM Domain Proteins, Male, Membrane Proteins, Middle Aged, Renal Insufficiency, Chronic, Transcription Factors}, issn = {2041-1723}, doi = {10.1038/s41467-021-27234-3}, author = {Schlosser, Pascal and Tin, Adrienne and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Weihs, Antoine and Yu, Zhi and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Chambers, John C and Cole, Shelley A and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and de Klein, Niek and Delgado, Graciela E and Domingo-Relloso, Arce and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Evans, Kathryn L and Floyd, James S and Fornage, Myriam and Franke, Lude and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kramer, Holly and Kronenberg, Florian and Kuhnel, Brigitte and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Liu, Yongmei and Lloyd-Jones, Donald M and Lohman, Kurt and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Navas-Acien, Ana and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Rosas, Sylvia E and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and Tellez-Plaza, Maria and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and Verweij, Niek and Walker, Rosie M and Wielscher, Matthias and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Levy, Daniel and Waldenberger, Melanie and Susztak, Katalin and K{\"o}ttgen, Anna and Teumer, Alexander} } @article {9253, title = {A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.}, journal = {Nat Methods}, volume = {19}, year = {2022}, month = {2022 Dec}, pages = {1599-1611}, abstract = {

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate multiple functional annotations. In non-gene-centric analysis, STAARpipeline uses SCANG-STAAR to incorporate dynamic window sizes and multiple functional annotations. We apply STAARpipeline to identify noncoding RV sets associated with four lipid traits in 21,015 discovery samples from the Trans-Omics for Precision Medicine (TOPMed) program and replicate several of them in an additional 9,123 TOPMed samples. We also analyze five non-lipid TOPMed traits.

}, keywords = {Genetic Variation, Genome, Genome-Wide Association Study, Humans, Phenotype, Whole Genome Sequencing}, issn = {1548-7105}, doi = {10.1038/s41592-022-01640-x}, author = {Li, Zilin and Li, Xihao and Zhou, Hufeng and Gaynor, Sheila M and Selvaraj, Margaret Sunitha and Arapoglou, Theodore and Quick, Corbin and Liu, Yaowu and Chen, Han and Sun, Ryan and Dey, Rounak and Arnett, Donna K and Auer, Paul L and Bielak, Lawrence F and Bis, Joshua C and Blackwell, Thomas W and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Conomos, Matthew P and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and de Vries, Paul S and Duggirala, Ravindranath and Franceschini, Nora and Freedman, Barry I and G{\"o}ring, Harald H H and Guo, Xiuqing and Kalyani, Rita R and Kooperberg, Charles and Kral, Brian G and Lange, Leslie A and Lin, Bridget M and Manichaikul, Ani and Manning, Alisa K and Martin, Lisa W and Mathias, Rasika A and Meigs, James B and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Rice, Kenneth M and Rich, Stephen S and Smith, Jennifer A and Taylor, Kent D and Taub, Margaret A and Vasan, Ramachandran S and Weeks, Daniel E and Wilson, James G and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Willer, Cristen J and Natarajan, Pradeep and Peloso, Gina M and Lin, Xihong} } @article {9158, title = {Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 07 28}, pages = {756}, abstract = {

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits.

}, keywords = {Diabetes Mellitus, Type 2, Fasting, Glucose, Humans, Insulin, National Heart, Lung, and Blood Institute (U.S.), Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Precision Medicine, Receptors, Immunologic, United States}, issn = {2399-3642}, doi = {10.1038/s42003-022-03702-4}, author = {DiCorpo, Daniel and Gaynor, Sheila M and Russell, Emily M and Westerman, Kenneth E and Raffield, Laura M and Majarian, Timothy D and Wu, Peitao and Sarnowski, Chloe and Highland, Heather M and Jackson, Anne and Hasbani, Natalie R and de Vries, Paul S and Brody, Jennifer A and Hidalgo, Bertha and Guo, Xiuqing and Perry, James A and O{\textquoteright}Connell, Jeffrey R and Lent, Samantha and Montasser, May E and Cade, Brian E and Jain, Deepti and Wang, Heming and D{\textquoteright}Oliveira Albanus, Ricardo and Varshney, Arushi and Yanek, Lisa R and Lange, Leslie and Palmer, Nicholette D and Almeida, Marcio and Peralta, Juan M and Aslibekyan, Stella and Baldridge, Abigail S and Bertoni, Alain G and Bielak, Lawrence F and Chen, Chung-Shiuan and Chen, Yii-Der Ida and Choi, Won Jung and Goodarzi, Mark O and Floyd, James S and Irvin, Marguerite R and Kalyani, Rita R and Kelly, Tanika N and Lee, Seonwook and Liu, Ching-Ti and Loesch, Douglas and Manson, JoAnn E and Minster, Ryan L and Naseri, Take and Pankow, James S and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Reupena, Muagututi{\textquoteright}a Sefuiva and Selvin, Elizabeth and Smith, Jennifer A and Weeks, Daniel E and Xu, Huichun and Yao, Jie and Zhao, Wei and Parker, Stephen and Alonso, Alvaro and Arnett, Donna K and Blangero, John and Boerwinkle, Eric and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Duggirala, Ravindranath and He, Jiang and Heckbert, Susan R and Kardia, Sharon L R and Kim, Ryan W and Kooperberg, Charles and Liu, Simin and Mathias, Rasika A and McGarvey, Stephen T and Mitchell, Braxton D and Morrison, Alanna C and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Shuldiner, Alan R and Taylor, Kent D and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Florez, Jose C and Wilson, James G and Sladek, Robert and Rich, Stephen S and Rotter, Jerome I and Lin, Xihong and Dupuis, Jos{\'e}e and Meigs, James B and Wessel, Jennifer and Manning, Alisa K} } @article {9412, title = {Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Feb}, pages = {291-300}, abstract = {

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55\% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.

}, keywords = {Biology, Drug Repositioning, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Tobacco Use, Transcriptome}, issn = {1546-1718}, doi = {10.1038/s41588-022-01282-x}, author = {Chen, Fang and Wang, Xingyan and Jang, Seon-Kyeong and Quach, Bryan C and Weissenkampen, J Dylan and Khunsriraksakul, Chachrit and Yang, Lina and Sauteraud, Renan and Albert, Christine M and Allred, Nicholette D D and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Barr, R Graham and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boorgula, Meher Preethi and Chasman, Daniel I and Chavan, Sameer and Chen, Yii-der I and Chuang, Lee-Ming and Correa, Adolfo and Curran, Joanne E and David, Sean P and Fuentes, Lisa de Las and Deka, Ranjan and Duggirala, Ravindranath and Faul, Jessica D and Garrett, Melanie E and Gharib, Sina A and Guo, Xiuqing and Hall, Michael E and Hawley, Nicola L and He, Jiang and Hobbs, Brian D and Hokanson, John E and Hsiung, Chao A and Hwang, Shih-Jen and Hyde, Thomas M and Irvin, Marguerite R and Jaffe, Andrew E and Johnson, Eric O and Kaplan, Robert and Kardia, Sharon L R and Kaufman, Joel D and Kelly, Tanika N and Kleinman, Joel E and Kooperberg, Charles and Lee, I-Te and Levy, Daniel and Lutz, Sharon M and Manichaikul, Ani W and Martin, Lisa W and Marx, Olivia and McGarvey, Stephen T and Minster, Ryan L and Moll, Matthew and Moussa, Karine A and Naseri, Take and North, Kari E and Oelsner, Elizabeth C and Peralta, Juan M and Peyser, Patricia A and Psaty, Bruce M and Rafaels, Nicholas and Raffield, Laura M and Reupena, Muagututi{\textquoteright}a Sefuiva and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Sheu, Wayne H-H and Sims, Mario and Smith, Jennifer A and Sun, Xiao and Taylor, Kent D and Telen, Marilyn J and Watson, Harold and Weeks, Daniel E and Weir, David R and Yanek, Lisa R and Young, Kendra A and Young, Kristin L and Zhao, Wei and Hancock, Dana B and Jiang, Bibo and Vrieze, Scott and Liu, Dajiang J} } @article {9702, title = {Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores.}, journal = {Sci Rep}, volume = {14}, year = {2024}, month = {2024 May 30}, pages = {12436}, abstract = {

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model{\textquoteright}s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1 to 30.1\% (SBP) and 14.3\% to 17.4\% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8 to 5.1\% (SBP) and 4.7 to 5\% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3\% (SBP) and 5.7\% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs. In summary, non-linear ML models improves BP prediction in models incorporating diverse populations.

}, keywords = {Blood Pressure, Female, Genetic Predisposition to Disease, Genetic Risk Score, Genome-Wide Association Study, Humans, Hypertension, Machine Learning, Male, Middle Aged, Models, Genetic, Multifactorial Inheritance, Phenotype, Risk Factors}, issn = {2045-2322}, doi = {10.1038/s41598-024-62945-9}, author = {Hrytsenko, Yana and Shea, Benjamin and Elgart, Michael and Kurniansyah, Nuzulul and Lyons, Genevieve and Morrison, Alanna C and Carson, April P and Haring, Bernhard and Mitchell, Braxton D and Psaty, Bruce M and Jaeger, Byron C and Gu, C Charles and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald and Choi, Eunhee and Brody, Jennifer A and Smith, Jennifer A and Rotter, Jerome I and Moll, Matthew and Fornage, Myriam and Simon, Noah and Castaldi, Peter and Casanova, Ramon and Chung, Ren-Hua and Kaplan, Robert and Loos, Ruth J F and Kardia, Sharon L R and Rich, Stephen S and Redline, Susan and Kelly, Tanika and O{\textquoteright}Connor, Timothy and Zhao, Wei and Kim, Wonji and Guo, Xiuqing and Ida Chen, Yii-Der and Sofer, Tamar} } @article {9646, title = {Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations.}, journal = {Epigenetics}, volume = {19}, year = {2024}, month = {2024 Dec}, pages = {2333668}, abstract = {

Systemic low-grade inflammation is a feature of chronic disease. C-reactive protein (CRP) is a common biomarker of inflammation and used as an indicator of disease risk; however, the role of inflammation in disease is not completely understood. Methylation is an epigenetic modification in the DNA which plays a pivotal role in gene expression. In this study we evaluated differential DNA methylation patterns associated with blood CRP level to elucidate biological pathways and genetic regulatory mechanisms to improve the understanding of chronic inflammation. The racially and ethnically diverse participants in this study were included as 50\% White, 41\% Black or African American, 7\% Hispanic or Latino/a, and 2\% Native Hawaiian, Asian American, American Indian, or Alaska Native (total = 13,433) individuals. We replicated 113 CpG sites from 87 unique loci, of which five were novel (, , and cg03282312), across a discovery set of 1,150 CpG sites associated with CRP level ( < 1.2E-7). The downstream pathways affected by DNA methylation included the identification of and CpG-gene transcript pairs which contributed to the innate immune response gene enrichment pathway along with , , and . Gene enrichment analysis also identified the nuclear factor-kappaB transcription pathway. Using two-sample Mendelian randomization (MR) we inferred methylation at three CpG sites as causal for CRP levels using both White and Black or African American MR instrument variables. Overall, we identified novel CpG sites and gene transcripts that could be valuable in understanding the specific cellular processes and pathogenic mechanisms involved in inflammation.

}, keywords = {C-Reactive Protein, CpG Islands, DNA, DNA Methylation, Epigenesis, Genetic, Genome-Wide Association Study, Humans, Inflammation, Intracellular Signaling Peptides and Proteins}, issn = {1559-2308}, doi = {10.1080/15592294.2024.2333668}, author = {Lundin, Jessica I and Peters, Ulrike and Hu, Yao and Ammous, Farah and Avery, Christy L and Benjamin, Emelia J and Bis, Joshua C and Brody, Jennifer A and Carlson, Chris and Cushman, Mary and Gignoux, Chris and Guo, Xiuqing and Haessler, Jeff and Haiman, Chris and Joehanes, Roby and Kasela, Silva and Kenny, Eimear and Lapalainien, Tuuli and Levy, Daniel and Liu, Chunyu and Liu, Yongmei and Loos, Ruth J F and Lu, Ake and Matise, Tara and North, Kari E and Park, Sungshim L and Ratliff, Scott M and Reiner, Alex and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Sotoodehnia, Nona and Tracy, Russell and Van den Berg, David and Xu, Huichun and Ye, Ting and Zhao, Wei and Raffield, Laura M and Kooperberg, Charles} } @article {9578, title = {Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance.}, journal = {Alzheimers Res Ther}, volume = {16}, year = {2024}, month = {2024 Jan 20}, pages = {14}, abstract = {

BACKGROUND: Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia.

METHODS: We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes.

RESULTS: The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues.

CONCLUSIONS: VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.

}, keywords = {Aged, Cognition, Genome-Wide Association Study, Humans, Memory, MicroRNAs, Multiomics, Polymorphism, Single Nucleotide}, issn = {1758-9193}, doi = {10.1186/s13195-023-01376-6}, author = {Mei, Hao and Simino, Jeannette and Li, Lianna and Jiang, Fan and Bis, Joshua C and Davies, Gail and Hill, W David and Xia, Charley and Gudnason, Vilmundur and Yang, Qiong and Lahti, Jari and Smith, Jennifer A and Kirin, Mirna and De Jager, Philip and Armstrong, Nicola J and Ghanbari, Mohsen and Kolcic, Ivana and Moran, Christopher and Teumer, Alexander and Sargurupremraj, Murali and Mahmud, Shamsed and Fornage, Myriam and Zhao, Wei and Satizabal, Claudia L and Polasek, Ozren and R{\"a}ikk{\"o}nen, Katri and Liewald, David C and Homuth, Georg and Callisaya, Michele and Mather, Karen A and Windham, B Gwen and Zemunik, Tatijana and Palotie, Aarno and Pattie, Alison and van der Auwera, Sandra and Thalamuthu, Anbupalam and Knopman, David S and Rudan, Igor and Starr, John M and Wittfeld, Katharina and Kochan, Nicole A and Griswold, Michael E and Vitart, Veronique and Brodaty, Henry and Gottesman, Rebecca and Cox, Simon R and Psaty, Bruce M and Boerwinkle, Eric and Chasman, Daniel I and Grodstein, Francine and Sachdev, Perminder S and Srikanth, Velandai and Hayward, Caroline and Wilson, James F and Eriksson, Johan G and Kardia, Sharon L R and Grabe, Hans J and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Bressler, Jan and Debette, Stephanie and Mosley, Thomas H} } @article {9914, title = {Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases.}, journal = {Nat Genet}, volume = {57}, year = {2025}, month = {2025 Mar}, pages = {539-547}, abstract = {

Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development and cell-cell communication at 139 loci. Furthermore, we assayed chromatin accessibility using assay for transposase-accessible chromatin with sequencing and histone H3 lysine 4 trimethylation in stem cell-derived atrial cardiomyocytes. We observed a marked increase in chromatin accessibility for our sentinel variants and prioritized genes in atrial cardiomyocytes. Finally, a polygenic risk score (PRS) based on our updated effect estimates improved AF risk prediction compared to the CHARGE-AF clinical risk score and a previously reported PRS for AF. The doubling of known risk loci will facilitate a greater understanding of the pathways underlying AF.

}, keywords = {Atrial Fibrillation, Chromatin, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Myocytes, Cardiac, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/s41588-024-02072-3}, author = {Roselli, Carolina and Surakka, Ida and Olesen, Morten S and Sveinbjornsson, Gardar and Marston, Nicholas A and Choi, Seung Hoan and Holm, Hilma and Chaffin, Mark and Gudbjartsson, Daniel and Hill, Matthew C and Aegisdottir, Hildur and Albert, Christine M and Alonso, Alvaro and Anderson, Christopher D and Arking, Dan E and Arnar, David O and Barnard, John and Benjamin, Emelia J and Braunwald, Eugene and Brumpton, Ben and Campbell, Archie and Chami, Nathalie and Chasman, Daniel I and Cho, Kelly and Choi, Eue-Keun and Christophersen, Ingrid E and Chung, Mina K and Conen, David and Crijns, Harry J and Cutler, Michael J and Czuba, Tomasz and Damrauer, Scott M and Dichgans, Martin and D{\"o}rr, Marcus and Dudink, Elton and Duong, ThuyVy and Erikstrup, Christian and Esko, T{\~o}nu and Fatkin, Diane and Faul, Jessica D and Ferreira, Manuel and Freitag, Daniel F and Ganesh, Santhi K and Gaziano, J Michael and Geelhoed, Bastiaan and Ghouse, Jonas and Gieger, Christian and Giulianini, Franco and Graham, Sarah E and Gudnason, Vilmundur and Guo, Xiuqing and Haggerty, Christopher and Hayward, Caroline and Heckbert, Susan R and Hveem, Kristian and Ito, Kaoru and Johnson, Renee and Jukema, J Wouter and Jurgens, Sean J and K{\"a}{\"a}b, Stefan and Kane, John P and Kany, Shinwan and Kardia, Sharon L R and Kavousi, Maryam and Khurshid, Shaan and Kamanu, Frederick K and Kirchhof, Paulus and Kleber, Marcus E and Knight, Stacey and Komuro, Issei and Krieger, Jose E and Launer, Lenore J and Li, Dadong and Lin, Honghuang and Lin, Henry J and Loos, Ruth J F and Lotta, Luca and Lubitz, Steven A and Lunetta, Kathryn L and Macfarlane, Peter W and Magnusson, Patrik K E and Malik, Rainer and Mantineo, Helene and Marcus, Gregory M and M{\"a}rz, Winfried and McManus, David D and Melander, Olle and Melloni, Giorgio E M and Meyre, Pascal B and Miyazawa, Kazuo and Mohanty, Sanghamitra and Monfort, Laia M and M{\"u}ller-Nurasyid, Martina and Nafissi, Navid A and Natale, Andrea and Nazarian, Saman and Ostrowski, Sisse R and Pak, Hui-Nam and Pang, Shichao and Pedersen, Ole B and Pedersen, Nancy L and Pereira, Alexandre C and Pirruccello, James P and Preuss, Michael and Psaty, Bruce M and Pullinger, Clive R and Rader, Daniel J and R{\"a}m{\"o}, Joel T and Ridker, Paul M and Rienstra, Michiel and Risch, Lorenz and Roden, Dan M and Rotter, Jerome I and Sabatine, Marc S and Schunkert, Heribert and Shah, Svati H and Shim, Jaemin and Shoemaker, M Benjamin and Simonson, Bridget and Sinner, Moritz F and Smit, Roelof A J and Smith, Jennifer A and Smith, Nicholas L and Smith, J Gustav and Soliman, Elsayed Z and S{\o}rensen, Erik and Sotoodehnia, Nona and Strbian, Daniel and Stricker, Bruno H and Teder-Laving, Maris and Sun, Yan V and Th{\'e}riault, S{\'e}bastien and Thorolfsdottir, Rosa B and Thorsteinsdottir, Unnur and Tveit, Arnljot and van der Harst, Pim and van Meurs, Joyce and Wang, Biqi and Weiss, Stefan and Wells, Quinn S and Weng, Lu-Chen and Wilson, Peter W and Xiao, Ling and Yang, Pil-Sung and Yao, Jie and Yoneda, Zachary T and Zeller, Tanja and Zeng, Lingyao and Zhao, Wei and Zhou, Xiang and Z{\"o}llner, Sebastian and Ruff, Christian T and Bundgaard, Henning and Willer, Cristen and Stefansson, Kari and Ellinor, Patrick T} } @article {9942, title = {Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.}, journal = {Nat Commun}, volume = {16}, year = {2025}, month = {2025 Apr 11}, pages = {3470}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals (P < 5 {\texttimes} 10), including two secondary signals. Notably, we identified and replicated a novel low-frequency single nucleotide polymorphism (SNP) in MTMR3 that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the POC5 and DMD loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, keywords = {Adult, African People, Alleles, Body Mass Index, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Population Groups, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-025-58420-2}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra R and Chittoor, Geetha and Josyula, Navya Shilpa and Meyer, Mariah and Gupta, Shreyash and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Mengmeng and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Le Marchand, Lo{\"\i}c and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Ida Chen, Yii-Der and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Benjamin Shoemaker, M and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Heard-Costa, Nancy and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} }