Long Life Family Study Shows Reduced Coronary Artery Disease Despite High Polygenic Hazard Scores

Mary Feitosa, Allison Kuipers, Mary Wojczynski, Lihua Wang, Thomas Perls, Kaare Christensen, Joseph Zmuda, Michael Province

Research output: Contribution to journalConference abstract in journalResearchpeer-review

7 Downloads (Pure)

Abstract

Polygenic hazard scores (PHS) for coronary artery disease (CAD) quantify individuals with age-specific genetic risk for CAD. We evaluated how well the PHS predict age at onset of CAD in the Long Life Family Study (LLFS; families selected for exceptional longevity), compared to the Family Heart Study (FamHS; random families and high CAD-risk families). LLFS contains 4572 European ancestry (EA) individuals from 581 families (age: 74.0 ± 14.3, range: 22-110 years). FamHS Random has 1806 EA individuals from 454 families (age: 56.2 ± 13.5, range: 22-91 years), while FamHS High CAD-risk has 2301 EA individuals from 553 families (age: 53.2 ± 12.8, range: 21-93 years). We generated the PHS from 176 published SNPs from GWAS for CAD (p\lt; 5.0 x 10-8, r2\lt; 0.2). In each of the extremes of the CAD PHS distributions (75\, Kaplan-Meier method showed that the LLFS presented significant delayed age at onset of CAD compared to FamHS (random and High CAD-risk: P\lt;0.0001). A Cox proportional hazards regression model accounting for CAD age at onset, using family bootstrap (N= 1000) to correct for family relatedness, replicated these results. For example, in the top-25\PHS when comparing to FamHS high-risk, the LLFS CAD hazards ratio was 0.127 (95\ 0.099, 0.164). Our findings suggest that, while PHS captured some of the risk of CAD in LLFS, part of the predisposition remains to be determined. Other relevant factors, including additional genetic discoveries and lifestyle-environment influences are needed to fully determine CAD risk in extreme samples.
Original languageEnglish
JournalInnovation in Aging
Volume4
Issue numberSuppl. 1
Pages (from-to)212-212
Number of pages1
ISSN2399-5300
DOIs
Publication statusPublished - 2020
EventGSA 2020 Annual Scientific Meeting Online -
Duration: 4. Nov 20207. Nov 2020
https://www.geron.org/meetings-events/gsa-2020-annual-scientific-meeting

Conference

ConferenceGSA 2020 Annual Scientific Meeting Online
Period04/11/202007/11/2020
Internet address

Cite this