Accurate estimation of heritability in genome wide studies using random effects models
Author(s) -
David E. Golan,
Saharon Rosset
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr219
Subject(s) - heritability , estimation , computer science , random effects model , statistics , computational biology , econometrics , biology , mathematics , genetics , medicine , engineering , meta analysis , systems engineering
Random effects models have recently been introduced as an approach for analyzing genome wide association studies (GWASs), which allows estimation of overall heritability of traits without explicitly identifying the genetic loci responsible. Using this approach, Yang et al. (2010) have demonstrated that the heritability of height is much higher than the ~10% associated with identified genetic factors. However, Yang et al. (2010) relied on a heuristic for performing estimation in this model.
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