biostudies-literatureFeitosa MFNHLBINIA NIH HHSNIDDK NIH HHSNIANHLBI NIH HHSNIDDK102-110https://www.ebi.ac.uk/biostudies/studies/S-EPMC8098811biostudies-literatureUnknown297<h4>Backgrounds and aims</h4>Several genes are known to contribute to the levels and metabolism of HDL-C, however, their protective effects in cardiovascular disease (CVD), healthy aging, and longevity are complex and poorly understood. It is also unclear if these genes predict longitudinal HDL-C change. We aimed to identify loci influencing HDL-C change.<h4>Methods</h4>We performed a genome-wide association study (GWAS) with harmonized HDL-C and imputed genotype in three family-based studies recruited for exceptional survival (Long Life Family Study), from community-based (Framingham Heart Study) and enriched for CVD (Family Heart Study). In 7738 individuals with at least 2 visits, we employed a growth curve model to estimate the random linear trajectory parameter of age-sex-adjusted HDL-AtherosclerosisGene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies.PMC8098811HHSN268201500001CR01-DK-089256U19 AG063893R01HL117078P30 DK056341N01 HC025195U01AG023746U01AG023749U19AG063893U01 AG023744U01 AG023755R01 DK089256U01 AG023712U01AG023712U01AG023744U01AG023755R01 HL117078U01 AG023749U01 AG023746HHSN268201500001INHLBI-N01-HC25195Christensen KMurabito JMKammerer CMProvince MASchupf NFeitosa MFWojczynski MKLunetta KLPerls TWang LfalseGene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies.<h4>Backgrounds and aims</h4>Several genes are known to contribute to the levels and metabolism of HDL-C, however, their protective effects in cardiovascular disease (CVD), healthy aging, and longevity are complex and poorly understood. It is also unclear if these genes predict longitudinal HDL-C change. We aimed to identify loci influencing HDL-C change.<h4>Methods</h4>We performed a genome-wide association study (GWAS) with harmonized HDL-C and imputed genotype in three family-based studies recruited for exceptional survival (Long Life Family Study), from community-based (Framingham Heart Study) and enriched for CVD (Family Heart Study). In 7738 individuals with at least 2 visits, we employed a growth curve model to estimate the random linear trajectory parameter of age-sex-adjusted HDL-2020-01-01T00:00:00Z2020 Mar2026-04-08T07:57:42.452Z2022-02-10T09:44:03.984ZS-EPMC80988113210966310.1016/j.atherosclerosis.2020.02.005