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Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.
Kowalski, Madeline H; Qian, Huijun; Hou, Ziyi; Rosen, Jonathan D; Tapia, Amanda L; Shan, Yue; Jain, Deepti; Argos, Maria; Arnett, Donna K; Avery, Christy; Barnes, Kathleen C; Becker, Lewis C; Bien, Stephanie A; Bis, Joshua C; Blangero, John; Boerwinkle, Eric; Bowden, Donald W; Buyske, Steve; Cai, Jianwen; Cho, Michael H; Choi, Seung Hoan; Choquet, Hélène; Cupples, L Adrienne; Cushman, Mary; Daya, Michelle; de Vries, Paul S; Ellinor, Patrick T; Faraday, Nauder; Fornage, Myriam; Gabriel, Stacey; Ganesh, Santhi K; Graff, Misa; Gupta, Namrata; He, Jiang; Heckbert, Susan R; Hidalgo, Bertha; Hodonsky, Chani J; Irvin, Marguerite R; Johnson, Andrew D; Jorgenson, Eric; Kaplan, Robert; Kardia, Sharon L R; Kelly, Tanika N; Kooperberg, Charles; Lasky-Su, Jessica A; Loos, Ruth J F; Lubitz, Steven A; Mathias, Rasika A; McHugh, Caitlin P; Montgomery, Courtney.
Afiliação
  • Kowalski MH; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Qian H; Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Hou Z; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Rosen JD; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Tapia AL; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Shan Y; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Jain D; Department of Biostatistics, University of Washington, Seattle, Washington, United States of America.
  • Argos M; Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois, United States of America.
  • Arnett DK; College of Public Health, University of Kentucky, Lexington, Kentucky, United States of America.
  • Avery C; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Barnes KC; Department of Medicine, Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, United States of America.
  • Becker LC; GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
  • Bien SA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Bis JC; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
  • Blangero J; Department of Human Genetics and South Texas Diabetes Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America.
  • Boerwinkle E; Human Genome Sequencing Center, University of Texas Health Science Center at Houston; Baylor College of Medicine, Houston, Texas, United States of America.
  • Bowden DW; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Buyske S; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Cai J; Department of Statistics, Rutgers University, Piscataway, New Jersey, United States of America.
  • Cho MH; Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Choi SH; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Choquet H; Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cupples LA; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Cushman M; Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
  • Daya M; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
  • de Vries PS; Framingham Heart Study, Framingham, Massachusetts, United States of America.
  • Ellinor PT; Departments of Medicine & Pathology, Larner College of Medicine, University of Vermont, Colchester, Vermont, United States of America.
  • Faraday N; Department of Medicine, Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, United States of America.
  • Fornage M; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Gabriel S; Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Ganesh SK; Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Graff M; GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
  • Gupta N; School of Public Health, The University of Texas Health Science Center, Houston, Texas, United States of America.
  • He J; Genomics Platform, Broad Institute, Cambridge, Massachusetts, United States of America.
  • Heckbert SR; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Hidalgo B; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Hodonsky CJ; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Irvin MR; Genomics Platform, Broad Institute, Cambridge, Massachusetts, United States of America.
  • Johnson AD; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America.
  • Jorgenson E; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Kaplan R; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America.
  • Kardia SLR; Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
  • Kelly TN; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Kooperberg C; Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
  • Lasky-Su JA; Framingham Heart Study, Framingham, Massachusetts, United States of America.
  • Loos RJF; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, Massachusetts, United States of America.
  • Lubitz SA; Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
  • Mathias RA; Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America.
  • McHugh CP; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Montgomery C; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America.
PLoS Genet ; 15(12): e1008500, 2019 12.
Article em En | MEDLINE | ID: mdl-31869403
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count <10 (including singletons) in the imputation target samples, average information content rescued was >86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Hispânico ou Latino / Globinas beta / Medicina de Precisão / Sequenciamento Completo do Genoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Hispânico ou Latino / Globinas beta / Medicina de Precisão / Sequenciamento Completo do Genoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos