Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure

Author:

Clarke Shoa L.12ORCID,Tcheandjieu Catherine12ORCID,Hilliard Austin T.12ORCID,Lee Kyung Min3ORCID,Lynch Julie34ORCID,Chang Kyong-Mi56ORCID,Miller Donald7,Knowles Joshua W.289ORCID,O’Donnell Christopher1011ORCID,Tsao Philip S.129ORCID,Rader Daniel J.6ORCID,Wilson Peter W.121314ORCID,Sun Yan V.1214ORCID,Gaziano J. Michael10,Assimes Themistocles L.129ORCID,

Affiliation:

1. VA Palo Alto Health Care system, CA (S.L.C., C.T., A.T.H., P.S.T., T.L.A.).

2. Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (S.L.C., C.T., A.T.H., J.W.K., P.S.T., T.L.A.).

3. VA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT (K.M.L., J.L.).

4. College of Nursing & Health Sciences, University of Massachusetts, Boston (J.L.).

5. Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (K.-M.C.).

6. Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia (K.-M.C., D.J.R.).

7. Edith Nourse Rogers Memorial VA Hospital, Bedford, MA (D.M.).

8. Diabetes Research Center (J.W.K.), Stanford University School of Medicine, CA.

9. Cardiovascular Institute (J.W.K., P.S.T., T.L.A.), Stanford University School of Medicine, CA.

10. VA Boston Healthcare System, Boston, MA (C.O., J.M.G.).

11. Department of Medicine, Harvard Medical School, Boston, MA (C.O.).

12. Atlanta VA Medical Center, Decatur, GA (P.W.W., Y.V.S.).

13. Department of Medicine, Emory University School of Medicine, Atlanta, GA (P.W.W.).

14. Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA (P.W.W., Y.V.S.).

Abstract

Background: Familial hypercholesterolemia (FH) genetic variants confer risk for coronary artery disease independent of LDL-C (low-density lipoprotein cholesterol) when considering a single measurement. In real clinical settings, longitudinal LDL-C data are often available through the electronic health record. It is unknown whether genetic testing for FH variants provides additional risk-stratifying information once longitudinal LDL-C is considered. Methods: We used the extensive electronic health record data available through the Million Veteran Program to conduct a nested case-control study. The primary outcome was coronary artery disease, derived from electronic health record codes for acute myocardial infarction and coronary revascularization. Incidence density sampling was used to match case/control exposure windows, defined by the date of the first LDL-C measurement to the date of the first coronary artery disease code of the index case. Adjustments for the first, maximum, or mean LDL-C were analyzed. FH variants in LDLR , APOB , and PCSK9 (Proprotein convertase subtilisin/kexin type 9) were assessed by custom genotype array. Results: In a cohort of 23 091 predominantly prevalent cases at enrollment and 230 910 matched controls, FH variant carriers had an increased risk for coronary artery disease (odds ratio [OR], 1.53 [95% CI, 1.24–1.89]). Adjusting for mean LDL-C led to the greatest attenuation of the risk estimate, but significant risk remained (odds ratio, 1.33 [95% CI, 1.08–1.64]). The degree of attenuation was not affected by the number and the spread of LDL-C measures available. Conclusions: The risk associated with carrying an FH variant cannot be fully captured by the LDL-C data available in the electronic health record, even when considering multiple LDL-C measurements spanning more than a decade.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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