title: Multipoint association mapping for longitudinal family data: an application to hypertension phenotypes.
abstract: It is essential to develop adequate statistical methods to fully utilize information from longitudinal family studies. We extend our previous multipoint linkage disequilibrium approach-simultaneously accounting for correlations between markers and repeat measurements within subjects, and the correlations between subjects in families-to detect loci relevant to disease through gene-based analysis. Estimates of disease loci and their genetic effects along with their 95 % confidence intervals (or significance levels) are reported. Four different phenotypes-ever having hypertension at 4 visits, incidence of hypertension, hypertension status at baseline only, and hypertension status at 4 visits-are studied using the proposed approach. The efficiency of estimates of disease locus positions (inverse of standard error) improves when using the phenotypes from 4 visits rather than using baseline only.
authors.affiliation: Institute of Population Health Sciences, National Health Research Institutes, Miaoli, 35053 Taiwan Republic of China.
authors.forename: Yen-Feng
authors.initials: YF
authors.lastname: Chiu
authors.affiliation: Institute of Population Health Sciences, National Health Research Institutes, Miaoli, 35053 Taiwan Republic of China.
authors.forename: Chun-Yi
authors.initials: CY
authors.lastname: Lee
authors.affiliation: Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, 27157 USA.
authors.forename: Fang-Chi
authors.initials: FC
authors.lastname: Hsu