The Challenges of Genome-Wide Interaction Studies: Lessons to Learn from the Analysis of HDL Blood Levels

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van Leeuwen, Elisabeth M.; Smouter, Françoise A. S.; Kam-Thong, Tony; Karbalai, Nazanin; Smith, Albert V.; Harris, Tamara B.; Launer, Lenore J.; Sitlani, Colleen M.; Li, Guo; Brody, Jennifer A.; Bis, Joshua C.; White, Charles C.; Jaiswal, Alok; Oostra, Ben A.; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G.; Boerwinkle, Eric; Ballantyne, Christie M.; Gudnason, Vilmundur; Psaty, Bruce M.; Cupples, L. Adrienne; Järvelin, Marjo-Riitta; Ripatti, Samuli; Isaacs, Aaron; Müller-Myhsok, Bertram; Karssen, Lennart C.; van Duijn, Cornelia M.;
  • Publisher: Public Library of Science (PLoS)
  • Journal: volume 9,issue 10issn: 1932-6203, eissn: 1932-6203
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1371/journal.pone.0109290, pmc: PMC4203717
  • Subject: Molecular Biology | Lipids | Research Article | Biology and Life Sciences | Research and Analysis Methods | Gene Identification and Analysis | Medicine | 3142 Public health care science, environmental and occupational health | SNPs | Lipid Analysis | Genetic Epidemiology | Epidemiology | Q | GWAS | R | Genetics | Biochemistry | Bioinformatics | Science | Medicine and Health Sciences | Macromolecular Structure Analysis | HDL blood levels | Genetic Interactions | Database and Informatics Methods

Genome-wide association studies (GWAS) have revealed 74 single nucleotide polymorphisms (SNPs) associated with high-density lipoprotein cholesterol (HDL) blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS) to identify SNP×SNP in... View more