Your browser doesn't support javascript.
loading
A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts.
Veturi, Yogasudha; Lucas, Anastasia; Bradford, Yuki; Hui, Daniel; Dudek, Scott; Theusch, Elizabeth; Verma, Anurag; Miller, Jason E; Kullo, Iftikhar; Hakonarson, Hakon; Sleiman, Patrick; Schaid, Daniel; Stein, Charles M; Edwards, Digna R Velez; Feng, QiPing; Wei, Wei-Qi; Medina, Marisa W; Krauss, Ronald M; Hoffmann, Thomas J; Risch, Neil; Voight, Benjamin F; Rader, Daniel J; Ritchie, Marylyn D.
Affiliation
  • Veturi Y; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Lucas A; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Bradford Y; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Hui D; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Dudek S; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Theusch E; Department of Pediatrics, University of California, San Francisco, Oakland, CA, USA.
  • Verma A; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Miller JE; Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kullo I; Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
  • Hakonarson H; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Sleiman P; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Schaid D; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Stein CM; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Edwards DRV; Department of Biomedical Informatics in School of Medicine, Vanderbilt University, Nashville, TN, USA.
  • Feng Q; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.
  • Wei WQ; Division of Quantitative Science, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Medina MW; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Krauss RM; Department of Biomedical Informatics in School of Medicine, Vanderbilt University, Nashville, TN, USA.
  • Hoffmann TJ; Department of Pediatrics, University of California, San Francisco, Oakland, CA, USA.
  • Risch N; Department of Pediatrics, University of California, San Francisco, Oakland, CA, USA.
  • Voight BF; Institute for Human Genetics, and Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Rader DJ; Institute for Human Genetics, and Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Ritchie MD; Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nat Genet ; 53(7): 972-981, 2021 07.
Article in En | MEDLINE | ID: mdl-34140684
ABSTRACT
Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify new lipid-associated genes and study the relationships among lipids, genotypes, gene expression and hundreds of complex human diseases from the Electronic Medical Records and Genomics (347 traits) and the UK Biobank (549 traits). Aside from 67 new lipid-associated genes with strong replication, we found evidence for pleiotropic SNPs/genes between lipids and diseases across the phenome. These include discordant pleiotropy in the HLA region between lipids and multiple sclerosis and putative causal paths between triglycerides and gout, among several others. Our findings give insights into the genetic basis of the relationship between plasma lipids and diseases on a phenome-wide scale and can provide context for future prevention and treatment strategies.
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Disease Susceptibility / Electronic Health Records / Lipids Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2021 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Disease Susceptibility / Electronic Health Records / Lipids Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2021 Document type: Article Affiliation country: United States