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Accounting for population structure in genetic studies of cystic fibrosis.
Kingston, Hanley; Stilp, Adrienne M; Gordon, William; Broome, Jai; Gogarten, Stephanie M; Ling, Hua; Barnard, John; Dugan-Perez, Shannon; Ellinor, Patrick T; Gabriel, Stacey; Germer, Soren; Gibbs, Richard A; Gupta, Namrata; Rice, Kenneth; Smith, Albert V; Zody, Michael C; Blackman, Scott M; Cutting, Garry; Knowles, Michael R; Zhou, Yi-Hui; Rosenfeld, Margaret; Gibson, Ronald L; Bamshad, Michael; Fohner, Alison; Blue, Elizabeth E.
Afiliação
  • Kingston H; Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA.
  • Stilp AM; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Gordon W; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA.
  • Broome J; Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA.
  • Gogarten SM; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Ling H; Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Barnard J; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
  • Dugan-Perez S; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA.
  • Ellinor PT; Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA.
  • Gabriel S; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Germer S; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Gibbs RA; New York Genome Center, New York, NY 10013, USA.
  • Gupta N; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA.
  • Rice K; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Smith AV; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Zody MC; Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Cutting G; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
  • Knowles MR; McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
  • Zhou YH; Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Rosenfeld M; Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA.
  • Gibson RL; Center for Clinical and Translational Research, Seattle Children's Hospital, Seattle, WA 98105, USA.
  • Bamshad M; Department of Pediatrics, University of Washington, Seattle, WA 98195, USA.
  • Fohner A; Center for Clinical and Translational Research, Seattle Children's Hospital, Seattle, WA 98105, USA.
  • Blue EE; Department of Pediatrics, University of Washington, Seattle, WA 98195, USA.
HGG Adv ; 3(3): 100117, 2022 Jul 14.
Article em En | MEDLINE | ID: mdl-35647563
CFTR F508del (c.1521_1523delCTT, p.Phe508delPhe) is the most common pathogenic allele underlying cystic fibrosis (CF), and its frequency varies in a geographic cline across Europe. We hypothesized that genetic variation associated with this cline is overrepresented in a large cohort (N > 5,000) of persons with CF who underwent whole-genome sequencing and that this pattern could result in spurious associations between variants correlated with both the F508del genotype and CF-related outcomes. Using principal-component (PC) analyses, we showed that variation in the CFTR region disproportionately contributes to a PC explaining a relatively high proportion of genetic variance. Variation near CFTR was correlated with population structure among persons with CF, and this correlation was driven by a subset of the sample inferred to have European ancestry. We performed genome-wide association studies comparing persons with CF with one versus two copies of the F508del allele; this allowed us to identify genetic variation associated with the F508del allele and to determine that standard PC-adjustment strategies eliminated the significant association signals. Our results suggest that PC adjustment can adequately prevent spurious associations between genetic variants and CF-related traits and are therefore effective tools to control for population structure even when population structure is confounded with disease severity and a common pathogenic variant.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article