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Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits.
Chun, Sung; Akle, Sebastian; Teodosiadis, Athanasios; Cade, Brian E; Wang, Heming; Sofer, Tamar; Evans, Daniel S; Stone, Katie L; Gharib, Sina A; Mukherjee, Sutapa; Palmer, Lyle J; Hillman, David; Rotter, Jerome I; Hanis, Craig L; Stamatoyannopoulos, John A; Redline, Susan; Cotsapas, Chris; Sunyaev, Shamil R.
Afiliación
  • Chun S; Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Akle S; Division of Pulmonary Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.
  • Teodosiadis A; Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America.
  • Cade BE; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Wang H; Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Sofer T; Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America.
  • Evans DS; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
  • Stone KL; Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America.
  • Gharib SA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Mukherjee S; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Palmer LJ; Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Hillman D; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Rotter JI; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Hanis CL; Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Stamatoyannopoulos JA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Redline S; Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cotsapas C; California Pacific Medical Center Research Institute, San Francisco, California, United States of America.
  • Sunyaev SR; California Pacific Medical Center Research Institute, San Francisco, California, United States of America.
PLoS Genet ; 18(12): e1010557, 2022 12.
Article en En | MEDLINE | ID: mdl-36574455
Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations in underpowered validation cohorts and leads to higher interpretability. Here, as an exemplar, we use Obstructive Sleep Apnea (OSA), a common disorder diagnosed using overnight multi-channel physiological testing. We leverage pleiotropy with relevant cellular and cardio-metabolic phenotypes and gene expression traits to map new risk loci in an underpowered OSA GWAS. We identify several pleiotropic loci harboring suggestive associations to OSA and genome-wide significant associations to other traits, and show that their OSA association replicates in independent cohorts of diverse ancestries. By investigating pleiotropic loci, our strategy allows proposing new hypotheses about OSA pathobiology across many physiological layers. For example, we identify and replicate the pleiotropy across the plateletcrit, OSA and an eQTL of DNA primase subunit 1 (PRIM1) in immune cells. We find suggestive links between OSA, a measure of lung function (FEV1/FVC), and an eQTL of matrix metallopeptidase 15 (MMP15) in lung tissue. We also link a previously known genome-wide significant peak for OSA in the hexokinase 1 (HK1) locus to hematocrit and other red blood cell related traits. Thus, the analysis of pleiotropic associations has the potential to assemble diverse phenotypes into a chain of mechanistic hypotheses that provide insight into the pathogenesis of complex human diseases.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apnea Obstructiva del Sueño / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apnea Obstructiva del Sueño / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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