@article {1141, title = {Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Nov}, pages = {1191-8}, abstract = {

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

}, keywords = {Blood Pressure, Cell Line, Cohort Studies, Endothelial Cells, Erythrocytes, Gene Expression, Genome, Human, Genome-Wide Association Study, Humans, Hypertension, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.466}, author = {Ganesh, Santhi K and Zakai, Neil A and van Rooij, Frank J A and Soranzo, Nicole and Smith, Albert V and Nalls, Michael A and Chen, Ming-Huei and K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Kuhnel, Brigitte and Aspelund, Thor and Yang, Qiong and Tanaka, Toshiko and Jaffe, Andrew and Bis, Joshua C M and Verwoert, Germaine C and Teumer, Alexander and Fox, Caroline S and Guralnik, Jack M and Ehret, Georg B and Rice, Kenneth and Felix, Janine F and Rendon, Augusto and Eiriksdottir, Gudny and Levy, Daniel and Patel, Kushang V and Boerwinkle, Eric and Rotter, Jerome I and Hofman, Albert and Sambrook, Jennifer G and Hernandez, Dena G and Zheng, Gang and Bandinelli, Stefania and Singleton, Andrew B and Coresh, Josef and Lumley, Thomas and Uitterlinden, Andr{\'e} G and Vangils, Janine M and Launer, Lenore J and Cupples, L Adrienne and Oostra, Ben A and Zwaginga, Jaap-Jan and Ouwehand, Willem H and Thein, Swee-Lay and Meisinger, Christa and Deloukas, Panos and Nauck, Matthias and Spector, Tim D and Gieger, Christian and Gudnason, Vilmundur and van Duijn, Cornelia M and Psaty, Bruce M and Ferrucci, Luigi and Chakravarti, Aravinda and Greinacher, Andreas and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Furth, Susan and Cushman, Mary and Harris, Tamara B and Lin, Jing-Ping} } @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 {6789, title = {Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson{\textquoteright}s disease.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Sep}, pages = {989-93}, abstract = {

We conducted a meta-analysis of Parkinson{\textquoteright}s disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci, including GBA, GAK-DGKQ, SNCA and the HLA region, contain a secondary independent risk variant. In total, we identified and replicated 28 independent risk variants for Parkinson{\textquoteright}s disease across 24 loci. Although the effect of each individual locus was small, risk profile analysis showed substantial cumulative risk in a comparison of the highest and lowest quintiles of genetic risk (odds ratio (OR) = 3.31, 95\% confidence interval (CI) = 2.55-4.30; P = 2 {\texttimes} 10(-16)). We also show six risk loci associated with proximal gene expression or DNA methylation.

}, keywords = {Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Parkinson Disease, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.3043}, author = {Nalls, Mike A and Pankratz, Nathan and Lill, Christina M and Do, Chuong B and Hernandez, Dena G and Saad, Mohamad and DeStefano, Anita L and Kara, Eleanna and Bras, Jose and Sharma, Manu and Schulte, Claudia and Keller, Margaux F and Arepalli, Sampath and Letson, Christopher and Edsall, Connor and Stefansson, Hreinn and Liu, Xinmin and Pliner, Hannah and Lee, Joseph H and Cheng, Rong and Ikram, M Arfan and Ioannidis, John P A and Hadjigeorgiou, Georgios M and Bis, Joshua C and Martinez, Maria and Perlmutter, Joel S and Goate, Alison and Marder, Karen and Fiske, Brian and Sutherland, Margaret and Xiromerisiou, Georgia and Myers, Richard H and Clark, Lorraine N and Stefansson, Kari and Hardy, John A and Heutink, Peter and Chen, Honglei and Wood, Nicholas W and Houlden, Henry and Payami, Haydeh and Brice, Alexis and Scott, William K and Gasser, Thomas and Bertram, Lars and Eriksson, Nicholas and Foroud, Tatiana and Singleton, Andrew B} } @article {6614, title = {Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants.}, journal = {Am J Clin Nutr}, volume = {101}, year = {2015}, month = {2015 Jan}, pages = {135-43}, abstract = {

BACKGROUND: Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.

OBJECTIVES: We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.

DESIGN: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.

RESULTS: We observed a significant association between sleep duration and lower BMI (β {\textpm} SE = 0.16 {\textpm} 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 {\textpm} 0.06\%, P = 0.03; women: 0.10 {\textpm} 0.05\%, P = 0.04) and with lower carbohydrate (-0.31 {\textpm} 0.12\%, P < 0.01), higher total fat (0.18 {\textpm} 0.09\%, P = 0.05), and higher PUFA (0.05 {\textpm} 0.02\%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.

CONCLUSIONS: Our results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.

}, keywords = {Adult, Body Mass Index, CLOCK Proteins, Cohort Studies, Cross-Sectional Studies, Diet, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fatty Acids, Unsaturated, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Sleep, Young Adult}, issn = {1938-3207}, doi = {10.3945/ajcn.114.095026}, author = {Dashti, Hassan S and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Cade, Brian E and Gottlieb, Daniel J and Hruby, Adela and Jacques, Paul F and Lamon-Fava, Stefania and Richardson, Kris and Saxena, Richa and Scheer, Frank A J L and Kovanen, Leena and Bartz, Traci M and Per{\"a}l{\"a}, Mia-Maria and Jonsson, Anna and Frazier-Wood, Alexis C and Kalafati, Ioanna-Panagiota and Mikkil{\"a}, Vera and Partonen, Timo and Lemaitre, Rozenn N and Lahti, Jari and Hernandez, Dena G and Toft, Ulla and Johnson, W Craig and Kanoni, Stavroula and Raitakari, Olli T and Perola, Markus and Psaty, Bruce M and Ferrucci, Luigi and Grarup, Niels and Highland, Heather M and Rallidis, Loukianos and K{\"a}h{\"o}nen, Mika and Havulinna, Aki S and Siscovick, David S and R{\"a}ikk{\"o}nen, Katri and J{\o}rgensen, Torben and Rotter, Jerome I and Deloukas, Panos and Viikari, Jorma S A and Mozaffarian, Dariush and Linneberg, Allan and Sepp{\"a}l{\"a}, Ilkka and Hansen, Torben and Salomaa, Veikko and Gharib, Sina A and Eriksson, Johan G and Bandinelli, Stefania and Pedersen, Oluf and Rich, Stephen S and Dedoussis, George and Lehtim{\"a}ki, Terho and Ordovas, Jose M} } @article {7262, title = {52 Genetic Loci Influencing Myocardial~Mass.}, journal = {J Am Coll Cardiol}, volume = {68}, year = {2016}, month = {2016 Sep 27}, pages = {1435-48}, abstract = {

BACKGROUND: Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death.

OBJECTIVES: This meta-analysis sought to gain insights into the genetic determinants of myocardial mass.

METHODS: We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment.

RESULTS: We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p~< 1~{\texttimes} 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67~candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in~vitro and in~vivo.

CONCLUSIONS: Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.

}, issn = {1558-3597}, doi = {10.1016/j.jacc.2016.07.729}, author = {van der Harst, Pim and van Setten, Jessica and Verweij, Niek and Vogler, Georg and Franke, Lude and Maurano, Matthew T and Wang, Xinchen and Mateo Leach, Irene and Eijgelsheim, Mark and Sotoodehnia, Nona and Hayward, Caroline and Sorice, Rossella and Meirelles, Osorio and Lyytik{\"a}inen, Leo-Pekka and Polasek, Ozren and Tanaka, Toshiko and Arking, Dan E and Ulivi, Sheila and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Smith, Albert V and D{\"o}rr, Marcus and Kerr, Kathleen F and Magnani, Jared W and del Greco M, Fabiola and Zhang, Weihua and Nolte, Ilja M and Silva, Claudia T and Padmanabhan, Sandosh and Tragante, Vinicius and Esko, T{\~o}nu and Abecasis, Goncalo R and Adriaens, Michiel E and Andersen, Karl and Barnett, Phil and Bis, Joshua C and Bodmer, Rolf and Buckley, Brendan M and Campbell, Harry and Cannon, Megan V and Chakravarti, Aravinda and Chen, Lin Y and Delitala, Alessandro and Devereux, Richard B and Doevendans, Pieter A and Dominiczak, Anna F and Ferrucci, Luigi and Ford, Ian and Gieger, Christian and Harris, Tamara B and Haugen, Eric and Heinig, Matthias and Hernandez, Dena G and Hillege, Hans L and Hirschhorn, Joel N and Hofman, Albert and Hubner, Norbert and Hwang, Shih-Jen and Iorio, Annamaria and K{\"a}h{\"o}nen, Mika and Kellis, Manolis and Kolcic, Ivana and Kooner, Ishminder K and Kooner, Jaspal S and Kors, Jan A and Lakatta, Edward G and Lage, Kasper and Launer, Lenore J and Levy, Daniel and Lundby, Alicia and Macfarlane, Peter W and May, Dalit and Meitinger, Thomas and Metspalu, Andres and Nappo, Stefania and Naitza, Silvia and Neph, Shane and Nord, Alex S and Nutile, Teresa and Okin, Peter M and Olsen, Jesper V and Oostra, Ben A and Penninger, Josef M and Pennacchio, Len A and Pers, Tune H and Perz, Siegfried and Peters, Annette and Pinto, Yigal M and Pfeufer, Arne and Pilia, Maria Grazia and Pramstaller, Peter P and Prins, Bram P and Raitakari, Olli T and Raychaudhuri, Soumya and Rice, Ken M and Rossin, Elizabeth J and Rotter, Jerome I and Schafer, Sebastian and Schlessinger, David and Schmidt, Carsten O and Sehmi, Jobanpreet and Sillj{\'e}, Herman H W and Sinagra, Gianfranco and Sinner, Moritz F and Slowikowski, Kamil and Soliman, Elsayed Z and Spector, Timothy D and Spiering, Wilko and Stamatoyannopoulos, John A and Stolk, Ronald P and Strauch, Konstantin and Tan, Sian-Tsung and Tarasov, Kirill V and Trinh, Bosco and Uitterlinden, Andr{\'e} G and van den Boogaard, Malou and van Duijn, Cornelia M and van Gilst, Wiek H and Viikari, Jorma S and Visscher, Peter M and Vitart, Veronique and V{\"o}lker, Uwe and Waldenberger, Melanie and Weichenberger, Christian X and Westra, Harm-Jan and Wijmenga, Cisca and Wolffenbuttel, Bruce H and Yang, Jian and Bezzina, Connie R and Munroe, Patricia B and Snieder, Harold and Wright, Alan F and Rudan, Igor and Boyer, Laurie A and Asselbergs, Folkert W and van Veldhuisen, Dirk J and Stricker, Bruno H and Psaty, Bruce M and Ciullo, Marina and Sanna, Serena and Lehtim{\"a}ki, Terho and Wilson, James F and Bandinelli, Stefania and Alonso, Alvaro and Gasparini, Paolo and Jukema, J Wouter and K{\"a}{\"a}b, Stefan and Gudnason, Vilmundur and Felix, Stephan B and Heckbert, Susan R and de Boer, Rudolf A and Newton-Cheh, Christopher and Hicks, Andrew A and Chambers, John C and Jamshidi, Yalda and Visel, Axel and Christoffels, Vincent M and Isaacs, Aaron and Samani, Nilesh J and de Bakker, Paul I W} } @article {7349, title = {DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.}, journal = {Genome Biol}, volume = {17}, year = {2016}, month = {2016 Dec 12}, pages = {255}, abstract = {

BACKGROUND: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.

RESULTS: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 {\texttimes} 10(-7)) in the discovery panel of European ancestry and replicated (P < 2.29 {\texttimes} 10(-4)) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16\%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 {\texttimes} 10(-5)), ten (17\%) CpG sites were associated with a nearby genetic variant (P < 2.50 {\texttimes} 10(-3)), and 51 (88\%) were also associated with at least one related cardiometabolic entity (P < 9.58 {\texttimes} 10(-5)). An additive weighted score of replicated CpG sites accounted for up to 6\% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.

CONCLUSION: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.

}, issn = {1474-760X}, doi = {10.1186/s13059-016-1119-5}, author = {Ligthart, Symen and Marzi, Carola and Aslibekyan, Stella and Mendelson, Michael M and Conneely, Karen N and Tanaka, Toshiko and Colicino, Elena and Waite, Lindsay L and Joehanes, Roby and Guan, Weihua and Brody, Jennifer A and Elks, Cathy and Marioni, Riccardo and Jhun, Min A and Agha, Golareh and Bressler, Jan and Ward-Caviness, Cavin K and Chen, Brian H and Huan, Tianxiao and Bakulski, Kelly and Salfati, Elias L and Fiorito, Giovanni and Wahl, Simone and Schramm, Katharina and Sha, Jin and Hernandez, Dena G and Just, Allan C and Smith, Jennifer A and Sotoodehnia, Nona and Pilling, Luke C and Pankow, James S and Tsao, Phil S and Liu, Chunyu and Zhao, Wei and Guarrera, Simonetta and Michopoulos, Vasiliki J and Smith, Alicia K and Peters, Marjolein J and Melzer, David and Vokonas, Pantel and Fornage, Myriam and Prokisch, Holger and Bis, Joshua C and Chu, Audrey Y and Herder, Christian and Grallert, Harald and Yao, Chen and Shah, Sonia and McRae, Allan F and Lin, Honghuang and Horvath, Steve and Fallin, Daniele and Hofman, Albert and Wareham, Nicholas J and Wiggins, Kerri L and Feinberg, Andrew P and Starr, John M and Visscher, Peter M and Murabito, Joanne M and Kardia, Sharon L R and Absher, Devin M and Binder, Elisabeth B and Singleton, Andrew B and Bandinelli, Stefania and Peters, Annette and Waldenberger, Melanie and Matullo, Giuseppe and Schwartz, Joel D and Demerath, Ellen W and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B J and Franco, Oscar H and Chen, Yii-Der Ida and Levy, Daniel and Turner, Stephen T and Deary, Ian J and Ressler, Kerry J and Dupuis, Jos{\'e}e and Ferrucci, Luigi and Ong, Ken K and Assimes, Themistocles L and Boerwinkle, Eric and Koenig, Wolfgang and Arnett, Donna K and Baccarelli, Andrea A and Benjamin, Emelia J and Dehghan, Abbas} } @article {7261, title = {Epigenetic Signatures of Cigarette Smoking.}, journal = {Circ Cardiovasc Genet}, volume = {9}, year = {2016}, month = {2016 Oct}, pages = {436-447}, abstract = {

BACKGROUND: DNA methylation leaves a long-term signature of smoking exposure and is one potential mechanism by which tobacco exposure predisposes to adverse health outcomes, such as cancers, osteoporosis, lung, and cardiovascular disorders.

METHODS AND RESULTS: To comprehensively determine the association between cigarette smoking and DNA methylation, we conducted a meta-analysis of genome-wide DNA methylation assessed using the Illumina BeadChip 450K array on 15 907 blood-derived DNA samples from participants in 16 cohorts (including 2433 current, 6518 former, and 6956 never smokers). Comparing current versus never smokers, 2623 cytosine-phosphate-guanine sites (CpGs), annotated to 1405 genes, were statistically significantly differentially methylated at Bonferroni threshold of P<1{\texttimes}10(-7) (18 760 CpGs at false discovery rate <0.05). Genes annotated to these CpGs were enriched for associations with several smoking-related traits in genome-wide studies including pulmonary function, cancers, inflammatory diseases, and heart disease. Comparing former versus never smokers, 185 of the CpGs that differed between current and never smokers were significant P<1{\texttimes}10(-7) (2623 CpGs at false discovery rate <0.05), indicating a pattern of persistent altered methylation, with attenuation, after smoking cessation. Transcriptomic integration identified effects on gene expression at many differentially methylated CpGs.

CONCLUSIONS: Cigarette smoking has a broad impact on genome-wide methylation that, at many loci, persists many years after smoking cessation. Many of the differentially methylated genes were novel genes with respect to biological effects of smoking and might represent therapeutic targets for prevention or treatment of tobacco-related diseases. Methylation at these sites could also serve as sensitive and stable biomarkers of lifetime exposure to tobacco smoke.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001506}, author = {Joehanes, Roby and Just, Allan C and Marioni, Riccardo E and Pilling, Luke C and Reynolds, Lindsay M and Mandaviya, Pooja R and Guan, Weihua and Xu, Tao and Elks, Cathy E and Aslibekyan, Stella and Moreno-Macias, Hortensia and Smith, Jennifer A and Brody, Jennifer A and Dhingra, Radhika and Yousefi, Paul and Pankow, James S and Kunze, Sonja and Shah, Sonia H and McRae, Allan F and Lohman, Kurt and Sha, Jin and Absher, Devin M and Ferrucci, Luigi and Zhao, Wei and Demerath, Ellen W and Bressler, Jan and Grove, Megan L and Huan, Tianxiao and Liu, Chunyu and Mendelson, Michael M and Yao, Chen and Kiel, Douglas P and Peters, Annette and Wang-Sattler, Rui and Visscher, Peter M and Wray, Naomi R and Starr, John M and Ding, Jingzhong and Rodriguez, Carlos J and Wareham, Nicholas J and Irvin, Marguerite R and Zhi, Degui and Barrdahl, Myrto and Vineis, Paolo and Ambatipudi, Srikant and Uitterlinden, Andr{\'e} G and Hofman, Albert and Schwartz, Joel and Colicino, Elena and Hou, Lifang and Vokonas, Pantel S and Hernandez, Dena G and Singleton, Andrew B and Bandinelli, Stefania and Turner, Stephen T and Ware, Erin B and Smith, Alicia K and Klengel, Torsten and Binder, Elisabeth B and Psaty, Bruce M and Taylor, Kent D and Gharib, Sina A and Swenson, Brenton R and Liang, Liming and DeMeo, Dawn L and O{\textquoteright}Connor, George T and Herceg, Zdenko and Ressler, Kerry J and Conneely, Karen N and Sotoodehnia, Nona and Kardia, Sharon L R and Melzer, David and Baccarelli, Andrea A and van Meurs, Joyce B J and Romieu, Isabelle and Arnett, Donna K and Ong, Ken K and Liu, Yongmei and Waldenberger, Melanie and Deary, Ian J and Fornage, Myriam and Levy, Daniel and London, Stephanie J} } @article {6951, title = {Interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Am J Clin Nutr}, volume = {103}, year = {2016}, month = {2016 Feb}, pages = {567-78}, abstract = {

BACKGROUND: DNA methylation is influenced by diet and single nucleotide polymorphisms (SNPs), and methylation modulates gene expression.

OBJECTIVE: We aimed to explore whether the gene-by-diet interactions on blood lipids act through DNA methylation.

DESIGN: We selected 7 SNPs on the basis of predicted relations in fatty acids, methylation, and lipids. We conducted a meta-analysis and a methylation and mediation analysis with the use of data from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the ENCODE (Encyclopedia of DNA Elements) consortium.

RESULTS: On the basis of the meta-analysis of 7 cohorts in the CHARGE consortium, higher plasma HDL cholesterol was associated with fewer C alleles at ATP-binding cassette subfamily A member 1 (ABCA1) rs2246293 (β = -0.6 mg/dL, P = 0.015) and higher circulating eicosapentaenoic acid (EPA) (β = 3.87 mg/dL, P = 5.62 {\texttimes} 10(21)). The difference in HDL cholesterol associated with higher circulating EPA was dependent on genotypes at rs2246293, and it was greater for each additional C allele (β = 1.69 mg/dL, P = 0.006). In the GOLDN (Genetics of Lipid Lowering Drugs and Diet Network) study, higher ABCA1 promoter cg14019050 methylation was associated with more C alleles at rs2246293 (β = 8.84\%, P = 3.51 {\texttimes} 10(18)) and lower circulating EPA (β = -1.46\%, P = 0.009), and the mean difference in methylation of cg14019050 that was associated with higher EPA was smaller with each additional C allele of rs2246293 (β = -2.83\%, P = 0.007). Higher ABCA1 cg14019050 methylation was correlated with lower ABCA1 expression (r = -0.61, P = 0.009) in the ENCODE consortium and lower plasma HDL cholesterol in the GOLDN study (r = -0.12, P = 0.0002). An additional mediation analysis was meta-analyzed across the GOLDN study, Cardiovascular Health Study, and the Multi-Ethnic Study of Atherosclerosis. Compared with the model without the adjustment of cg14019050 methylation, the model with such adjustment provided smaller estimates of the mean plasma HDL cholesterol concentration in association with both the rs2246293 C allele and EPA and a smaller difference by rs2246293 genotypes in the EPA-associated HDL cholesterol. However, the differences between 2 nested models were NS (P > 0.05).

CONCLUSION: We obtained little evidence that the gene-by-fatty acid interactions on blood lipids act through DNA methylation.

}, keywords = {Apolipoproteins E, ATP Binding Cassette Transporter 1, Cholesterol, HDL, Cohort Studies, Diet, DNA Methylation, Eicosapentaenoic Acid, Epigenesis, Genetic, Fatty Acids, Gene Expression Regulation, Humans, Lipids, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Triglycerides}, issn = {1938-3207}, doi = {10.3945/ajcn.115.112987}, author = {Ma, Yiyi and Follis, Jack L and Smith, Caren E and Tanaka, Toshiko and Manichaikul, Ani W and Chu, Audrey Y and Samieri, Cecilia and Zhou, Xia and Guan, Weihua and Wang, Lu and Biggs, Mary L and Chen, Yii-der I and Hernandez, Dena G and Borecki, Ingrid and Chasman, Daniel I and Rich, Stephen S and Ferrucci, Luigi and Irvin, Marguerite Ryan and Aslibekyan, Stella and Zhi, Degui and Tiwari, Hemant K and Claas, Steven A and Sha, Jin and Kabagambe, Edmond K and Lai, Chao-Qiang and Parnell, Laurence D and Lee, Yu-Chi and Amouyel, Philippe and Lambert, Jean-Charles and Psaty, Bruce M and King, Irena B and Mozaffarian, Dariush and McKnight, Barbara and Bandinelli, Stefania and Tsai, Michael Y and Ridker, Paul M and Ding, Jingzhong and Mstat, Kurt Lohmant and Liu, Yongmei and Sotoodehnia, Nona and Barberger-Gateau, Pascale and Steffen, Lyn M and Siscovick, David S and Absher, Devin and Arnett, Donna K and Ordovas, Jose M and Lemaitre, Rozenn N} } @article {6936, title = {A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.}, journal = {Hum Mol Genet}, volume = {25}, year = {2016}, month = {2016 Jan 15}, pages = {358-70}, abstract = {

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including \~{}120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3\% of the variance in plasma fibrinogen concentration.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddv454}, author = {de Vries, Paul S and Chasman, Daniel I and Sabater-Lleal, Maria and Chen, Ming-Huei and Huffman, Jennifer E and Steri, Maristella and Tang, Weihong and Teumer, Alexander and Marioni, Riccardo E and Grossmann, Vera and Hottenga, Jouke J and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Zhao, Jing Hua and Brody, Jennifer A and Kleber, Marcus E and Guo, Xiuqing and Wang, Jie Jin and Auer, Paul L and Attia, John R and Yanek, Lisa R and Ahluwalia, Tarunveer S and Lahti, Jari and Venturini, Cristina and Tanaka, Toshiko and Bielak, Lawrence F and Joshi, Peter K and Rocanin-Arjo, Ares and Kolcic, Ivana and Navarro, Pau and Rose, Lynda M and Oldmeadow, Christopher and Riess, Helene and Mazur, Johanna and Basu, Saonli and Goel, Anuj and Yang, Qiong and Ghanbari, Mohsen and Willemsen, Gonneke and Rumley, Ann and Fiorillo, Edoardo and de Craen, Anton J M and Grotevendt, Anne and Scott, Robert and Taylor, Kent D and Delgado, Graciela E and Yao, Jie and Kifley, Annette and Kooperberg, Charles and Qayyum, Rehan and Lopez, Lorna M and Berentzen, Tina L and R{\"a}ikk{\"o}nen, Katri and Mangino, Massimo and Bandinelli, Stefania and Peyser, Patricia A and Wild, Sarah and Tr{\'e}gou{\"e}t, David-Alexandre and Wright, Alan F and Marten, Jonathan and Zemunik, Tatijana and Morrison, Alanna C and Sennblad, Bengt and Tofler, Geoffrey and de Maat, Moniek P M and de Geus, Eco J C and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Binder, Harald and V{\"o}lker, Uwe and Waldenberger, Melanie and Khaw, Kay-Tee and McKnight, Barbara and Huang, Jie and Jenny, Nancy S and Holliday, Elizabeth G and Qi, Lihong and Mcevoy, Mark G and Becker, Diane M and Starr, John M and Sarin, Antti-Pekka and Hysi, Pirro G and Hernandez, Dena G and Jhun, Min A and Campbell, Harry and Hamsten, Anders and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Koenig, Wolfgang and Psaty, Bruce M and Haritunians, Talin and Liu, Jingmin and Palotie, Aarno and Uitterlinden, Andr{\'e} G and Stott, David J and Hofman, Albert and Franco, Oscar H and Polasek, Ozren and Rudan, Igor and Morange, Pierre-Emmanuel and Wilson, James F and Kardia, Sharon L R and Ferrucci, Luigi and Spector, Tim D and Eriksson, Johan G and Hansen, Torben and Deary, Ian J and Becker, Lewis C and Scott, Rodney J and Mitchell, Paul and M{\"a}rz, Winfried and Wareham, Nick J and Peters, Annette and Greinacher, Andreas and Wild, Philipp S and Jukema, J Wouter and Boomsma, Dorret I and Hayward, Caroline and Cucca, Francesco and Tracy, Russell and Watkins, Hugh and Reiner, Alex P and Folsom, Aaron R and Ridker, Paul M and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7343, title = {Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0167742}, abstract = {

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5{\texttimes}10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5{\texttimes}10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20\% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0167742}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Chasman, Daniel I and Trompet, Stella and Ahluwalia, Tarunveer S and Teumer, Alexander and Kleber, Marcus E and Chen, Ming-Huei and Wang, Jie Jin and Attia, John R and Marioni, Riccardo E and Steri, Maristella and Weng, Lu-Chen and Pool, Rene and Grossmann, Vera and Brody, Jennifer A and Venturini, Cristina and Tanaka, Toshiko and Rose, Lynda M and Oldmeadow, Christopher and Mazur, Johanna and Basu, Saonli and Fr{\r a}nberg, Mattias and Yang, Qiong and Ligthart, Symen and Hottenga, Jouke J and Rumley, Ann and Mulas, Antonella and de Craen, Anton J M and Grotevendt, Anne and Taylor, Kent D and Delgado, Graciela E and Kifley, Annette and Lopez, Lorna M and Berentzen, Tina L and Mangino, Massimo and Bandinelli, Stefania and Morrison, Alanna C and Hamsten, Anders and Tofler, Geoffrey and de Maat, Moniek P M and Draisma, Harmen H M and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Lackner, Karl J and V{\"o}lker, Uwe and McKnight, Barbara and Huang, Jie and Holliday, Elizabeth G and McEvoy, Mark A and Starr, John M and Hysi, Pirro G and Hernandez, Dena G and Guan, Weihua and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and de Geus, Eco J C and Stott, David J and Binder, Harald and Hofman, Albert and Franco, Oscar H and Rotter, Jerome I and Ferrucci, Luigi and Spector, Tim D and Deary, Ian J and M{\"a}rz, Winfried and Greinacher, Andreas and Wild, Philipp S and Cucca, Francesco and Boomsma, Dorret I and Watkins, Hugh and Tang, Weihong and Ridker, Paul M and Jukema, Jan W and Scott, Rodney J and Mitchell, Paul and Hansen, Torben and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {8507, title = {Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.}, journal = {Circulation}, volume = {140}, year = {2019}, month = {2019 08 20}, pages = {645-657}, abstract = {

BACKGROUND: DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.

METHODS: Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.

RESULTS: Among 11 461 individuals (mean age 64 years, 67\% women, 35\% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts.

CONCLUSION: Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.

}, keywords = {Adult, Aged, Cohort Studies, Coronary Disease, CpG Islands, DNA Methylation, Europe, Female, Genome-Wide Association Study, Humans, Incidence, Leukocytes, Male, Middle Aged, Myocardial Infarction, Population Groups, Prognosis, Prospective Studies, Risk, United States}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.039357}, author = {Agha, Golareh and Mendelson, Michael M and Ward-Caviness, Cavin K and Joehanes, Roby and Huan, Tianxiao and Gondalia, Rahul and Salfati, Elias and Brody, Jennifer A and Fiorito, Giovanni and Bressler, Jan and Chen, Brian H and Ligthart, Symen and Guarrera, Simonetta and Colicino, Elena and Just, Allan C and Wahl, Simone and Gieger, Christian and Vandiver, Amy R and Tanaka, Toshiko and Hernandez, Dena G and Pilling, Luke C and Singleton, Andrew B and Sacerdote, Carlotta and Krogh, Vittorio and Panico, Salvatore and Tumino, Rosario and Li, Yun and Zhang, Guosheng and Stewart, James D and Floyd, James S and Wiggins, Kerri L and Rotter, Jerome I and Multhaup, Michael and Bakulski, Kelly and Horvath, Steven and Tsao, Philip S and Absher, Devin M and Vokonas, Pantel and Hirschhorn, Joel and Fallin, M Daniele and Liu, Chunyu and Bandinelli, Stefania and Boerwinkle, Eric and Dehghan, Abbas and Schwartz, Joel D and Psaty, Bruce M and Feinberg, Andrew P and Hou, Lifang and Ferrucci, Luigi and Sotoodehnia, Nona and Matullo, Giuseppe and Peters, Annette and Fornage, Myriam and Assimes, Themistocles L and Whitsel, Eric A and Levy, Daniel and Baccarelli, Andrea A} } @article {8705, title = {Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 Apr 01}, pages = {564-582}, abstract = {

Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5\%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained <=20 variants in the credible sets that jointly account for 99\% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.02.011}, author = {Graff, Mariaelisa and Justice, Anne E and Young, Kristin L and Marouli, Eirini and Zhang, Xinruo and Fine, Rebecca S and Lim, Elise and Buchanan, Victoria and Rand, Kristin and Feitosa, Mary F and Wojczynski, Mary K and Yanek, Lisa R and Shao, Yaming and Rohde, Rebecca and Adeyemo, Adebowale A and Aldrich, Melinda C and Allison, Matthew A and Ambrosone, Christine B and Ambs, Stefan and Amos, Christopher and Arnett, Donna K and Atwood, Larry and Bandera, Elisa V and Bartz, Traci and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Bielak, Lawrence F and Blot, William J and Bottinger, Erwin P and Bowden, Donald W and Bradfield, Jonathan P and Brody, Jennifer A and Broeckel, Ulrich and Burke, Gregory and Cade, Brian E and Cai, Qiuyin and Caporaso, Neil and Carlson, Chris and Carpten, John and Casey, Graham and Chanock, Stephen J and Chen, Guanjie and Chen, Minhui and Chen, Yii-der I and Chen, Wei-Min and Chesi, Alessandra and Chiang, Charleston W K and Chu, Lisa and Coetzee, Gerry A and Conti, David V and Cooper, Richard S and Cushman, Mary and Demerath, Ellen and Deming, Sandra L and Dimitrov, Latchezar and Ding, Jingzhong and Diver, W Ryan and Duan, Qing and Evans, Michele K and Falusi, Adeyinka G and Faul, Jessica D and Fornage, Myriam and Fox, Caroline and Freedman, Barry I and Garcia, Melissa and Gillanders, Elizabeth M and Goodman, Phyllis and Gottesman, Omri and Grant, Struan F A and Guo, Xiuqing and Hakonarson, Hakon and Haritunians, Talin and Harris, Tamara B and Harris, Curtis C and Henderson, Brian E and Hennis, Anselm and Hernandez, Dena G and Hirschhorn, Joel N and McNeill, Lorna Haughton and Howard, Timothy D and Howard, Barbara and Hsing, Ann W and Hsu, Yu-Han H and Hu, Jennifer J and Huff, Chad D and Huo, Dezheng and Ingles, Sue A and Irvin, Marguerite R and John, Esther M and Johnson, Karen C and Jordan, Joanne M and Kabagambe, Edmond K and Kang, Sun J and Kardia, Sharon L and Keating, Brendan J and Kittles, Rick A and Klein, Eric A and Kolb, Suzanne and Kolonel, Laurence N and Kooperberg, Charles and Kuller, Lewis and Kutlar, Abdullah and Lange, Leslie and Langefeld, Carl D and Le Marchand, Lo{\"\i}c and Leonard, Hampton and Lettre, Guillaume and Levin, Albert M and Li, Yun and Li, Jin and Liu, Yongmei and Liu, Youfang and Liu, Simin and Lohman, Kurt and Lotay, Vaneet and Lu, Yingchang and Maixner, William and Manson, JoAnn E and McKnight, Barbara and Meng, Yan and Monda, Keri L and Monroe, Kris and Moore, Jason H and Mosley, Thomas H and Mudgal, Poorva and Murphy, Adam B and Nadukuru, Rajiv and Nalls, Mike A and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Neslund-Dudas, Christine and Neuhouser, Marian L and Nyante, Sarah and Ochs-Balcom, Heather and Ogundiran, Temidayo O and Ogunniyi, Adesola and Ojengbede, Oladosu and Okut, Hayrettin and Olopade, Olufunmilayo I and Olshan, Andrew and Padhukasahasram, Badri and Palmer, Julie and Palmer, Cameron D and Palmer, Nicholette D and Papanicolaou, George and Patel, Sanjay R and Pettaway, Curtis A and Peyser, Patricia A and Press, Michael F and Rao, D C and Rasmussen-Torvik, Laura J and Redline, Susan and Reiner, Alex P and Rhie, Suhn K and Rodriguez-Gil, Jorge L and Rotimi, Charles N and Rotter, Jerome I and Ruiz-Narvaez, Edward A and Rybicki, Benjamin A and Salako, Babatunde and Sale, Mich{\`e}le M and Sanderson, Maureen and Schadt, Eric and Schreiner, Pamela J and Schurmann, Claudia and Schwartz, Ann G and Shriner, Daniel A and Signorello, Lisa B and Singleton, Andrew B and Siscovick, David S and Smith, Jennifer A and Smith, Shad and Speliotes, Elizabeth and Spitz, Margaret and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Sucheston, Lara and Sun, Yan V and Tajuddin, Salman M and Taylor, Herman and Taylor, Kira and Tayo, Bamidele O and Thun, Michael J and Tucker, Margaret A and Vaidya, Dhananjay and Van Den Berg, David J and Vedantam, Sailaja and Vitolins, Mara and Wang, Zhaoming and Ware, Erin B and Wassertheil-Smoller, Sylvia and Weir, David R and Wiencke, John K and Williams, Scott M and Williams, L Keoki and Wilson, James G and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yao, Jie and Zakai, Neil and Zanetti, Krista and Zemel, Babette S and Zhao, Wei and Zhao, Jing Hua and Zheng, Wei and Zhi, Degui and Zhou, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zmuda, Joe and Zonderman, Alan B and Psaty, Bruce M and Borecki, Ingrid B and Cupples, L Adrienne and Liu, Ching-Ti and Haiman, Christopher A and Loos, Ruth and Ng, Maggie C Y and North, Kari E} }