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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 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 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 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 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.
10aAfrican Americans10aBody Mass Index10aCase-Control Studies10aGene Frequency10aGenetic Loci10aGenetic Predisposition to Disease10aGenome-Wide Association Study10aHumans10aLinkage Disequilibrium10aObesity10aPolymorphism, Single Nucleotide1 aMonda, Keri, L1 aChen, Gary, K1 aTaylor, Kira, C1 aPalmer, Cameron1 aEdwards, Todd, L1 aLange, Leslie, A1 aC Y Ng, Maggie1 aAdeyemo, Adebowale, A1 aAllison, Matthew, A1 aBielak, Lawrence, F1 aChen, Guanjie1 aGraff, Mariaelisa1 aIrvin, Marguerite, R1 aRhie, Suhn, K1 aLi, Guo1 aLiu, Yongmei1 aLiu, Youfang1 aLu, Yingchang1 aNalls, Michael, A1 aSun, Yan, V1 aWojczynski, Mary, K1 aYanek, Lisa, R1 aAldrich, Melinda, C1 aAdemola, Adeyinka1 aAmos, Christopher, I1 aBandera, Elisa, V1 aBock, Cathryn, H1 aBritton, Angela1 aBroeckel, Ulrich1 aCai, Quiyin1 aCaporaso, Neil, E1 aCarlson, Chris, S1 aCarpten, John1 aCasey, Graham1 aChen, Wei-Min1 aChen, Fang1 aChen, Yii-der, I1 aChiang, Charleston, W K1 aCoetzee, Gerhard, A1 aDemerath, Ellen1 aDeming-Halverson, Sandra, L1 aDriver, Ryan, W1 aDubbert, Patricia1 aFeitosa, Mary, F1 aFeng, Ye1 aFreedman, Barry, I1 aGillanders, Elizabeth, M1 aGottesman, Omri1 aGuo, Xiuqing1 aHaritunians, Talin1 aHarris, Tamara1 aHarris, Curtis, C1 aHennis, Anselm, J M1 aHernandez, Dena, G1 aMcNeill, Lorna, H1 aHoward, Timothy, D1 aHoward, Barbara, V1 aHoward, Virginia, J1 aJohnson, Karen, C1 aKang, Sun, J1 aKeating, Brendan, J1 aKolb, Suzanne1 aKuller, Lewis, H1 aKutlar, Abdullah1 aLangefeld, Carl, D1 aLettre, Guillaume1 aLohman, Kurt1 aLotay, Vaneet1 aLyon, Helen1 aManson, JoAnn, E1 aMaixner, William1 aMeng, Yan, A1 aMonroe, Kristine, R1 aMorhason-Bello, Imran1 aMurphy, Adam, B1 aMychaleckyj, Josyf, C1 aNadukuru, Raj1 aNathanson, Katherine, L1 aNayak, Uma1 aN'diaye, Amidou1 aNemesure, Barbara1 aWu, Suh-Yuh1 aLeske, Cristina1 aNeslund-Dudas, Christine1 aNeuhouser, Marian1 aNyante, Sarah1 aOchs-Balcom, Heather1 aOgunniyi, Adesola1 aOgundiran, Temidayo, O1 aOjengbede, Oladosu1 aOlopade, Olufunmilayo, I1 aPalmer, Julie, R1 aRuiz-Narvaez, Edward, A1 aPalmer, Nicholette, D1 aPress, Michael, F1 aRampersaud, Evandine1 aRasmussen-Torvik, Laura, J1 aRodriguez-Gil, Jorge, L1 aSalako, Babatunde1 aSchadt, Eric, E1 aSchwartz, Ann, G1 aShriner, Daniel, A1 aSiscovick, David1 aSmith, Shad, B1 aWassertheil-Smoller, Sylvia1 aSpeliotes, Elizabeth, K1 aSpitz, Margaret, R1 aSucheston, Lara1 aTaylor, Herman1 aTayo, Bamidele, O1 aTucker, Margaret, A1 aVan Den Berg, David, J1 aEdwards, Digna, R Velez1 aWang, Zhaoming1 aWiencke, John, K1 aWinkler, Thomas, W1 aWitte, John, S1 aWrensch, Margaret1 aWu, Xifeng1 aYang, James, J1 aLevin, Albert, M1 aYoung, Taylor, R1 aZakai, Neil, A1 aCushman, Mary1 aZanetti, Krista, A1 aZhao, Jing Hua1 aZhao, Wei1 aZheng, Yonglan1 aZhou, Jie1 aZiegler, Regina, G1 aZmuda, Joseph, M1 aFernandes, Jyotika, K1 aGilkeson, Gary, S1 aKamen, Diane, L1 aHunt, Kelly, J1 aSpruill, Ida, J1 aAmbrosone, Christine, B1 aAmbs, Stefan1 aArnett, Donna, K1 aAtwood, Larry1 aBecker, Diane, M1 aBerndt, Sonja, I1 aBernstein, Leslie1 aBlot, William, J1 aBorecki, Ingrid, B1 aBottinger, Erwin, P1 aBowden, Donald, W1 aBurke, Gregory1 aChanock, Stephen, J1 aCooper, Richard, S1 aDing, Jingzhong1 aDuggan, David1 aEvans, Michele, K1 aFox, Caroline1 aGarvey, Timothy1 aBradfield, Jonathan, P1 aHakonarson, Hakon1 aGrant, Struan, F A1 aHsing, Ann1 aChu, Lisa1 aHu, Jennifer, J1 aHuo, Dezheng1 aIngles, Sue, A1 aJohn, Esther, M1 aJordan, Joanne, M1 aKabagambe, Edmond, K1 aKardia, Sharon, L R1 aKittles, Rick, A1 aGoodman, Phyllis, J1 aKlein, Eric, A1 aKolonel, Laurence, N1 aLe Marchand, Loïc1 aLiu, Simin1 aMcKnight, Barbara1 aMillikan, Robert, C1 aMosley, Thomas, H1 aPadhukasahasram, Badri1 aWilliams, Keoki1 aPatel, Sanjay, R1 aPeters, Ulrike1 aPettaway, Curtis, A1 aPeyser, Patricia, A1 aPsaty, Bruce, M1 aRedline, Susan1 aRotimi, Charles, N1 aRybicki, Benjamin, A1 aSale, Michèle, M1 aSchreiner, Pamela, J1 aSignorello, Lisa, B1 aSingleton, Andrew, B1 aStanford, Janet, L1 aStrom, Sara, S1 aThun, Michael, J1 aVitolins, Mara1 aZheng, Wei1 aMoore, Jason, H1 aWilliams, Scott, M1 aKetkar, Shamika1 aZhu, Xiaofeng1 aZonderman, Alan, B1 aKooperberg, Charles1 aPapanicolaou, George, J1 aHenderson, Brian, E1 aReiner, Alex, P1 aHirschhorn, Joel, N1 aLoos, Ruth, J F1 aNorth, Kari, E1 aHaiman, Christopher, A1 aNABEC Consortium1 aUKBEC Consortium1 aBioBank Japan Project1 aAGEN Consortium uhttps://chs-nhlbi.org/node/607806485nas a2201489 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2017 eng d a1553-740400aDiscovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium.0 aDiscovery and finemapping of adiposity loci using high density i c2017 Apr 21 ae10067190 v133 aGenome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5×10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained ≤ 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.
1 aC Y Ng, Maggie1 aGraff, Mariaelisa1 aLu, Yingchang1 aJustice, Anne, E1 aMudgal, Poorva1 aLiu, Ching-Ti1 aYoung, Kristin1 aYanek, Lisa, R1 aFeitosa, Mary, F1 aWojczynski, Mary, K1 aRand, Kristin1 aBrody, Jennifer, A1 aCade, Brian, E1 aDimitrov, Latchezar1 aDuan, Qing1 aGuo, Xiuqing1 aLange, Leslie, A1 aNalls, Michael, A1 aOkut, Hayrettin1 aTajuddin, Salman, M1 aTayo, Bamidele, O1 aVedantam, Sailaja1 aBradfield, Jonathan, P1 aChen, Guanjie1 aChen, Wei-Min1 aChesi, Alessandra1 aIrvin, Marguerite, R1 aPadhukasahasram, Badri1 aSmith, Jennifer, A1 aZheng, Wei1 aAllison, Matthew, A1 aAmbrosone, Christine, B1 aBandera, Elisa, V1 aBartz, Traci, M1 aBerndt, Sonja, I1 aBernstein, Leslie1 aBlot, William, J1 aBottinger, Erwin, P1 aCarpten, John1 aChanock, Stephen, J1 aChen, Yii-Der Ida1 aConti, David, V1 aCooper, Richard, S1 aFornage, Myriam1 aFreedman, Barry, I1 aGarcia, Melissa1 aGoodman, Phyllis, J1 aHsu, Yu-Han, H1 aHu, Jennifer1 aHuff, Chad, D1 aIngles, Sue, A1 aJohn, Esther, M1 aKittles, Rick1 aKlein, Eric1 aLi, Jin1 aMcKnight, Barbara1 aNayak, Uma1 aNemesure, Barbara1 aOgunniyi, Adesola1 aOlshan, Andrew1 aPress, Michael, F1 aRohde, Rebecca1 aRybicki, Benjamin, A1 aSalako, Babatunde1 aSanderson, Maureen1 aShao, Yaming1 aSiscovick, David, S1 aStanford, Janet, L1 aStevens, Victoria, L1 aStram, Alex1 aStrom, Sara, S1 aVaidya, Dhananjay1 aWitte, John, S1 aYao, Jie1 aZhu, Xiaofeng1 aZiegler, Regina, G1 aZonderman, Alan, B1 aAdeyemo, Adebowale1 aAmbs, Stefan1 aCushman, Mary1 aFaul, Jessica, D1 aHakonarson, Hakon1 aLevin, Albert, M1 aNathanson, Katherine, L1 aWare, Erin, B1 aWeir, David, R1 aZhao, Wei1 aZhi, Degui1 aArnett, Donna, K1 aGrant, Struan, F A1 aKardia, Sharon, L R1 aOloapde, Olufunmilayo, I1 aRao, D, C1 aRotimi, Charles, N1 aSale, Michèle, M1 aWilliams, Keoki1 aZemel, Babette, S1 aBecker, Diane, M1 aBorecki, Ingrid, B1 aEvans, Michele, K1 aHarris, Tamara, B1 aHirschhorn, Joel, N1 aLi, Yun1 aPatel, Sanjay, R1 aPsaty, Bruce, M1 aRotter, Jerome, I1 aWilson, James, G1 aBowden, Donald, W1 aCupples, Adrienne, L1 aHaiman, Christopher, A1 aLoos, Ruth, J F1 aNorth, Kari, E1 aBone Mineral Density in Childhood Study (BMDCS) Group uhttps://chs-nhlbi.org/node/735204313nas a2200829 4500008004100000022001400041245011600055210006900171260001600240520189900256100001902155700002502174700002702199700002002226700002202246700002002268700002302288700001502311700001802326700002202344700002302366700001902389700003002408700002302438700001802461700002502479700002202504700001902526700001902545700002102564700002402585700002202609700002202631700002302653700002302676700001802699700001902717700001702736700002002753700002502773700002602798700002202824700002002846700002202866700002102888700001702909700002002926700001902946700002302965700002302988700002203011700002203033700002503055700002803080700002003108700002003128700002303148700002103171700002103192700002003213700002703233700002603260700002203286700001703308700001903325700002003344700001703364700001803381700002503399700002303424856003603447 2018 eng d a1945-719700aTrans-ethnic Evaluation Identifies Novel Low Frequency Loci Associated with 25-Hydroxyvitamin D Concentrations.0 aTransethnic Evaluation Identifies Novel Low Frequency Loci Assoc c2018 Jan 093 aContext: Vitamin D inadequacy is common in the adult population of the United States. While the genetic determinants underlying vitamin D inadequacy have been studied in people of European ancestry, less is known in Hispanic or African ancestry populations.
Objective: The TRANSCEN-D (TRANS-ethniC Evaluation of vitamiN D GWAS) consortium was assembled to replicate genetic associations with 25-hydroxyvitamin D (25(OH)D) concentrations from the meta-analyses of European ancestry (SUNLIGHT) and to identify novel genetic variants related to vitamin D concentrations in African and Hispanic ancestries.
Design: Ancestry-specific (Hispanic and African) and trans-ethnic (Hispanic, African and European) meta-analyses were performed using the METAL software.
Patients or Other Participants: In total, 8,541 African-American and 3,485 Hispanic-American (from North America) participants from twelve cohorts, and 16,124 European participants from SUNLIGHT were included in the study.
Main Outcome Measure(s): Blood concentrations of 25(OH)D were measured for all participants.
Results: Ancestry-specific analyses in African and Hispanic Americans replicated SNPs in GC (2 and 4 SNPs, respectively). A potentially novel SNP (rs79666294) near the KIF4B gene was identified in the African-American cohort. Trans-ethnic evaluation replicated GC and DHCR7 region SNPs. Additionally, the trans-ethnic analyses revealed novel SNPs rs719700 and rs1410656 near the ANO6/ARID2 and HTR2A genes, respectively.
Conclusions: Ancestry-specific and trans-ethnic GWAS of 25(OH)D confirmed findings in GC and DHCR7 for African and Hispanic American samples and revealed novel findings near KIF4B, ANO6/ARID2, and HTR2A. The biological mechanisms that link these regions with 25(OH)D metabolism require further investigation.
1 aHong, Jaeyoung1 aHatchell, Kathryn, E1 aBradfield, Jonathan, P1 aAndrew, Bjonnes1 aAlessandra, Chesi1 aChao-Qiang, Lai1 aLangefeld, Carl, D1 aLu, Lingyi1 aLu, Yingchang1 aLutsey, Pamela, L1 aMusani, Solomon, K1 aNalls, Mike, A1 aRobinson-Cohen, Cassianne1 aRoizen, Jeffery, D1 aSaxena, Richa1 aTucker, Katherine, L1 aZiegler, Julie, T1 aArking, Dan, E1 aBis, Joshua, C1 aBoerwinkle, Eric1 aBottinger, Erwin, P1 aBowden, Donald, W1 aGilsanz, Vincente1 aHouston, Denise, K1 aKalkwarf, Heidi, J1 aKelly, Andrea1 aLappe, Joan, M1 aLiu, Yongmei1 aMichos, Erin, D1 aOberfield, Sharon, E1 aPalmer, Nicholette, D1 aRotter, Jerome, I1 aSapkota, Bishwa1 aShepherd, John, A1 aWilson, James, G1 aBasu, Saonli1 ade Boer, Ian, H1 aDivers, Jasmin1 aFreedman, Barry, I1 aGrant, Struan, F A1 aHakanarson, Hakon1 aHarris, Tamara, B1 aKestenbaum, Bryan, R1 aKritchevsky, Stephen, B1 aLoos, Ruth, J F1 aNorris, Jill, M1 aNorwood, Arnita, F1 aOrdovas, Jose, M1 aPankow, James, S1 aPsaty, Bruce, M1 aSanhgera, Dharambir, K1 aWagenknecht, Lynne, E1 aZemel, Babette, S1 aMeigs, James1 aDupuis, Josée1 aFlorez, Jose, C1 aWang, Thomas1 aLiu, Ching-Ti1 aEngelman, Corinne, D1 aBillings, Liana, K uhttps://chs-nhlbi.org/node/768115950nas a2205365 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2019 eng d a2041-172300aAssociations of autozygosity with a broad range of human phenotypes.0 aAssociations of autozygosity with a broad range of human phenoty c2019 Oct 31 a49570 v103 aIn many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F) for >1.4 million individuals, we show that F is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44-66%] in the odds of having children. Finally, the effects of F are confirmed within full-sibling pairs, where the variation in F is independent of all environmental confounding.
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ade Kleijn, Dominique, P V1 aKoh, Woon-Puay1 aKolcic, Ivana1 aKraft, Peter1 aKrämer, Bernhard, K1 aKutalik, Zoltán1 aKuusisto, Johanna1 aLangenberg, Claudia1 aLauner, Lenore, J1 aLawlor, Deborah, A1 aLee, I-Te1 aLee, Wen-Jane1 aLerch, Markus, M1 aLi, Liming1 aLiu, Jianjun1 aLoh, Marie1 aLondon, Stephanie, J1 aLoomis, Stephanie1 aLu, Yingchang1 aLuan, Jian'an1 aMägi, Reedik1 aManichaikul, Ani, W1 aManunta, Paolo1 aMásson, Gísli1 aMatoba, Nana1 aMei, Xue, W1 aMeisinger, Christa1 aMeitinger, Thomas1 aMezzavilla, Massimo1 aMilani, Lili1 aMillwood, Iona, Y1 aMomozawa, Yukihide1 aMoore, Amy1 aMorange, Pierre-Emmanuel1 aMoreno-Macias, Hortensia1 aMori, Trevor, A1 aMorrison, Alanna, C1 aMuka, Taulant1 aMurakami, Yoshinori1 aMurray, Alison, D1 ade Mutsert, Renée1 aMychaleckyj, Josyf, C1 aNalls, Mike, A1 aNauck, Matthias1 aNeville, Matt, J1 aNolte, Ilja, M1 aOng, Ken, K1 aOrozco, Lorena1 aPadmanabhan, Sandosh1 aPálsson, Gunnar1 aPankow, James, S1 aPattaro, Cristian1 aPattie, Alison1 aPolasek, 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2021 eng d a1537-660500aDiscovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.0 aDiscovery and finemapping of height loci via highdensity imputat c2021 Apr 01 a564-5820 v1083 aAlthough 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.
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