Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts

@article{De2016IdentifyingGI,
  title={Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts},
  author={Rishika De and Shefali Setia Verma and Emily Rose Holzinger and Molly A. Hall and Amber Burt and David S. Carrell and David R. Crosslin and Gail P. Jarvik and Helena Kuivaniemi and Iftikhar J. Kullo and Leslie A. Lange and Matthew B. Lanktree and Eric B. Larson and Kari E. North and Alexander P. Reiner and Vinicius Tragante and Gerard Tromp and James G. Wilson and Folkert W. Asselbergs and Fotios Drenos and Jason H. Moore and Marylyn DeRiggi Ritchie and Brendan J. Keating and Diane Gilbert-Diamond},
  journal={Human Genetics},
  year={2016},
  volume={136},
  pages={165-178}
}
Genetic loci explain only 25–30 % of the heritability observed in plasma lipid traits. Epistasis, or gene–gene interactions may contribute to a portion of this missing heritability. Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor dimensionality reduction (QMDR) algorithm with two SNP-filtering methods to exhaustively search for SNP–SNP interactions that are associated with HDL cholesterol (HDL-C), LDL cholesterol (LDL-C… 
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