Two-Variance-Component Model Improves Genetic Prediction in Family Datasets
George Tucker, Po-Ru Loh, Iona M MacLeod, Ben J Hayes, Michael E Goddard, Bonnie Berger, Alkes L Price
American Journal of Human Genetics | CELL PRESS | Published : 2015
Genetic prediction based on either identity by state (IBS) sharing or pedigree information has been investigated extensively with best linear unbiased prediction (BLUP) methods. Such methods were pioneered in plant and animal-breeding literature and have since been applied to predict human traits, with the aim of eventual clinical utility. However, methods to combine IBS sharing and pedigree information for genetic prediction in humans have not been explored. We introduce a two-variance-component model for genetic prediction: one component for IBS sharing and one for approximate pedigree structure, both estimated with genetic markers. In simulations using real genotypes from the Candidate-ge..View full abstract
Awarded by NIH
Awarded by NATIONAL HUMAN GENOME RESEARCH INSTITUTE
Awarded by NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
We are grateful to N. Zaitlen, B. Vilhjalmsson, S. Rosset, and H. Johnsen for helpful discussions. This research was supported by NIH grants R01 HG006399, R01 GM105857, and R01 GM108348 and by NIH fellowship F32 HG007805.