title: Analysis of homozygosity disequilibrium using whole-genome sequencing data.
abstract: Homozygosity disequilibrium (HD), a nonrandom sizable run of homozygosity in the genome, may be related to the evolution of populations and may also confer susceptibility to disease. No studies have investigated HD using whole genome sequencing (WGS) analysis. In this study, we used an enhanced version of Loss-Of-Heterozygosity Analysis Suite (LOHAS) software to investigate HD through analysis of real and simulated WGS data sets provided by Genetic Analysis Workshop 18. Using a local polynomial model, we derived whole-genome profiles of homozygosity intensities for 959 individuals and characterized the patterns of HD. Generalized estimating equation analysis for 855 related samples was performed to examine the association between patterns of HD and 3 phenotypes of interest, namely diastolic blood pressure, systolic blood pressure, and hypertension status, with covariate adjustments for age and gender. We found that 4.48% of individuals in this study carried sizable runs of homozygosity (ROHs). Distributions of the length of ROHs were derived and revealed a familial aggregation of HD. Genome-wide homozygosity association analysis identified 5 and 3 ROHs associated with diastolic blood pressure and hypertension, respectively. These regions contain genes associated with calcium channels (CACNA1S), renin catalysis (REN), blood groups (ABO), apolipoprotein (APOA5), and cardiovascular diseases (RASGRP1). Simulation studies showed that our homozygosity association tests controlled type 1 error well and had a promising power. This study provides a useful analysis tool for studying HD and allows us to gain a deeper understanding of HD in the human genome.
authors.affiliation: Institute of Statistical Science, Academia Sinica, Nankang 115, Taipei, Taiwan.
authors.forename: Hsin-Chou
authors.initials: HC
authors.lastname: Yang
authors.affiliation: Institute of Statistical Science, Academia Sinica, Nankang 115, Taipei, Taiwan.
authors.forename: Han-Wei
authors.initials: HW
authors.lastname: Li