04476nas a2200937 4500008004100000022001400041245014100055210006900196260001300265300001300278490000600291520177500297653002202072653001502094653002102109653002302130653002102153653003002174653001102204653001902215653002202234653002502256653001802281653003402299653001302333653001102346653002702357653000902384653001502393653001402408653003602422653003302458653004702491653001302538100002102551700001802572700002202590700001802612700001702630700002002647700002002667700002002687700002402707700001802731700001702749700002102766700002502787700001602812700002502828700002302853700001902876700002102895700001602916700002802932700002402960700002802984700002003012700002203032700001503054700002003069700002303089700002103112700002203133700001903155700002203174700002403196700002203220700002803242700002303270700001903293700002003312700002403332700002403356700001703380700002703397700001703424700002003441700002103461700002003482856003603502 2011 eng d a1553-740400aEnhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.0 aEnhanced statistical tests for GWAS in admixed populations asses c2011 Apr ae10013710 v73 a
While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.
10aAfrican Americans10aAlgorithms10aBreast Neoplasms10aChromosome Mapping10aCoronary Disease10aDiabetes Mellitus, Type 210aFemale10aGene Frequency10aGenetic Variation10aGenetics, Population10aGenome, Human10aGenome-Wide Association Study10aGenotype10aHumans10aLinkage Disequilibrium10aMale10aOdds Ratio10aPhenotype10aPolymorphism, Single Nucleotide10aPrincipal Component Analysis10aReceptor, Fibroblast Growth Factor, Type 210aSoftware1 aPasaniuc, Bogdan1 aZaitlen, Noah1 aLettre, Guillaume1 aChen, Gary, K1 aTandon, Arti1 aKao, Linda, W H1 aRuczinski, Ingo1 aFornage, Myriam1 aSiscovick, David, S1 aZhu, Xiaofeng1 aLarkin, Emma1 aLange, Leslie, A1 aCupples, Adrienne, L1 aYang, Qiong1 aAkylbekova, Ermeg, L1 aMusani, Solomon, K1 aDivers, Jasmin1 aMychaleckyj, Joe1 aLi, Mingyao1 aPapanicolaou, George, J1 aMillikan, Robert, C1 aAmbrosone, Christine, B1 aJohn, Esther, M1 aBernstein, Leslie1 aZheng, Wei1 aHu, Jennifer, J1 aZiegler, Regina, G1 aNyante, Sarah, J1 aBandera, Elisa, V1 aIngles, Sue, A1 aPress, Michael, F1 aChanock, Stephen, J1 aDeming, Sandra, L1 aRodriguez-Gil, Jorge, L1 aPalmer, Cameron, D1 aBuxbaum, Sarah1 aEkunwe, Lynette1 aHirschhorn, Joel, N1 aHenderson, Brian, E1 aMyers, Simon1 aHaiman, Christopher, A1 aReich, David1 aPatterson, Nick1 aWilson, James, G1 aPrice, Alkes, L uhttps://chs-nhlbi.org/node/128809008nas a2202809 4500008004100000022001400041245010800055210006900163260001300232300001000245490000700255520108900262653002201351653002001373653002501393653001901418653001701437653003801454653003401492653001101526653002701537653001201564653003601576100001901612700001801631700002001649700002001669700002101689700002101710700001901731700002601750700002401776700002401800700001801824700002201842700002501864700001801889700001201907700001701919700001701936700001801953700002201971700001601993700002402009700001902033700002402052700002202076700002502098700002202123700002102145700002002166700002102186700001602207700002202223700002202245700001802267700001802285700001802303700001502321700002102336700002802357700002402385700002002409700003202429700002002461700002202481700002102503700001302524700002302537700002902560700002002589700001702609700002302626700001902649700002202668700002402690700002302714700002202737700002302759700002302782700002402805700002202829700001702851700002402868700001802892700002102910700002102931700002302952700002202975700001702997700001803014700001603032700002103048700002103069700001703090700002403107700002603131700002003157700002603177700001803203700002803221700001503249700002003264700002203284700001603306700002003322700002903342700002203371700001803393700002503411700002203436700002703458700002303485700002903508700002103537700002803558700002603586700002203612700002503634700003103659700002803690700002203718700002003740700002103760700002303781700002103804700001903825700003203844700002803876700002303904700002003927700001903947700002203966700002403988700002704012700002804039700001904067700002104086700002304107700001904130700002204149700001504171700001904186700002104205700002104226700001904247700001804266700002304284700001904307700001404326700001904340700001404359700002304373700002104396700002604417700002204443700002004465700001904485700002004504700002804524700001704552700002104569700001804590700002104608700002104629700002204650700002104672700002304693700002404716700002204740700001904762700002404781700002304805700002004828700001804848700002204866700001804888700002004906700002704926700002204953700002304975700001504998700001405013700002005027700001705047700001905064700002005083700002205103700002505125700002405150700002105174700002405195700001905219700002505238700002305263700001505286700002205301700002405323700002205347700002705369700002005396700002105416700001905437700002405456700002405480700002005504700001905524700002305543700002505566700002205591700002505613700002405638700002505662700002305687700001905710700002105729700001905750700001505769700002005784700002305804700002005827700001805847700002305865700002405888700002805912700002405940700002005964700002405984700002006008700001906028700002706047710002106074710002106095710002606116710002006142856003606162 2013 eng d a1546-171800aA meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.0 ametaanalysis identifies new loci associated with body mass index c2013 Jun a690-60 v453 aGenome-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/607803769nas a2200937 4500008004100000022001400041245009400055210006900149260001600218300001200234490000700246520111800253653002201371653001601393653002301409653004001432653001101472653001701483653002201500653003401522653001101556653001401567653001801581100002501599700001801624700001801642700002501660700002101685700001801706700002301724700002301747700002201770700001201792700002001804700002301824700002201847700002201869700002001891700002801911700002201939700002201961700002001983700002302003700001802026700002802044700001802072700002202090700002202112700001902134700002002153700001702173700002302190700002302213700002202236700002102258700001802279700002202297700002202319700002202341700002002363700002202383700001402405700001502419700002202434700002202456700002402478700002402502700002402526700001702550700002202567700001702589700002102606700002402627700002302651700002502674700002302699700002402722700002402746700002502770856003602795 2014 eng d a1460-208300aMeta-analysis of loci associated with age at natural menopause in African-American women.0 aMetaanalysis of loci associated with age at natural menopause in c2014 Jun 15 a3327-420 v233 aAge at menopause marks the end of a woman'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.
10aAfrican Americans10aAge Factors10aChromosomes, Human10aEuropean Continental Ancestry Group10aFemale10aGenetic Loci10aGenetic Variation10aGenome-Wide Association Study10aHumans10aMenopause10aUnited States1 aChen, Christina, T L1 aLiu, Ching-Ti1 aChen, Gary, K1 aAndrews, Jeanette, S1 aArnold, Alice, M1 aDreyfus, Jill1 aFranceschini, Nora1 aGarcia, Melissa, E1 aKerr, Kathleen, F1 aLi, Guo1 aLohman, Kurt, K1 aMusani, Solomon, K1 aNalls, Michael, A1 aRaffel, Leslie, J1 aSmith, Jennifer1 aAmbrosone, Christine, B1 aBandera, Elisa, V1 aBernstein, Leslie1 aBritton, Angela1 aBrzyski, Robert, G1 aCappola, Anne1 aCarlson, Christopher, S1 aCouper, David1 aDeming, Sandra, L1 aGoodarzi, Mark, O1 aHeiss, Gerardo1 aJohn, Esther, M1 aLu, Xiaoning1 aLe Marchand, Loïc1 aMarciante, Kristin1 aMcKnight, Barbara1 aMillikan, Robert1 aNock, Nora, L1 aOlshan, Andrew, F1 aPress, Michael, F1 aVaiyda, Dhananjay1 aWoods, Nancy, F1 aTaylor, Herman, A1 aZhao, Wei1 aZheng, Wei1 aEvans, Michele, K1 aHarris, Tamara, B1 aHenderson, Brian, E1 aKardia, Sharon, L R1 aKooperberg, Charles1 aLiu, Yongmei1 aMosley, Thomas, H1 aPsaty, Bruce1 aWellons, Melissa1 aWindham, Beverly, G1 aZonderman, Alan, B1 aCupples, Adrienne, L1 aDemerath, Ellen, W1 aHaiman, Christopher1 aMurabito, Joanne, M1 aRajkovic, Aleksandar uhttps://chs-nhlbi.org/node/6552