Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks

@inproceedings{Turner2011KnowledgeDrivenMA,
  title={Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks},
  author={Stephen D. Turner and Richard L. Berg and James G. Linneman and Peggy L. Peissig and Dana C. Crawford and Joshua C. Denny and Dan M. Roden and Catherine A. McCarty and Marylyn DeRiggi Ritchie and Russell A. Wilke},
  booktitle={PloS one},
  year={2011}
}
Genome-wide association studies (GWAS) are routinely being used to examine the genetic contribution to complex human traits, such as high-density lipoprotein cholesterol (HDL-C). Although HDL-C levels are highly heritable (h(2)∼0.7), the genetic determinants identified through GWAS contribute to a small fraction of the variance in this trait. Reasons for this discrepancy may include rare variants, structural variants, gene-environment (GxE) interactions, and gene-gene (GxG) interactions… CONTINUE READING
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