Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models
Hong Gao, Hua Tang, Carlos D. Bustamante
This paper introduces a hidden Markov model-based method to improve genome-wide association study power by reducing background noise and detecting causal SNPs with non-additive or unknown allelic effects.
bioRxiv · Feb 9, 2016 · PreprintGenetics