Association of Genome-Wide Polygenic Risk Score for Body Mass Index With Cardiometabolic Health From Childhood Through Midlife

Author:

Shi Mengyao12ORCID,Chen Wei2ORCID,Sun Xiao2ORCID,Bazzano Lydia A.2ORCID,He Jiang3ORCID,Razavi Alexander C.23ORCID,Li Changwei2ORCID,Qi Lu2ORCID,Khera Amit V.45ORCID,Kelly Tanika N.2ORCID

Affiliation:

1. Department of Epidemiology, School of Public Health, and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Medical College of Soochow University, Suzhou, China (M.S.).

2. Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (M.S., W.C., X.S., L.A.B., J.H., A.C.R., C.L., L.Q., T.N.K.).

3. Department of Medicine, Tulane University School of Medicine, New Orleans, LA (J.H., A.C.R.).

4. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA (A.V.K.).

5. Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (A.V.K.).

Abstract

Background: Genetic information may help to identify individuals in childhood who are at increased risk for cardiometabolic disease. Methods: We included 1201 BHS (Bogalusa Heart Study) participants (832 White participants and 369 Black participants) who were followed up to 42.3 years, starting at a mean age of 9.8 years. A validated genome-wide polygenic risk score (PRS) was tested for association with midlife body mass index (BMI), fasting plasma glucose, and systolic blood pressure using multiple linear regression models. Cox proportional hazards models tested associations of the PRS with incident obesity, diabetes, and hypertension. All analyses were conducted according to race and adjusted for baseline age, sex, ancestry, and BMI. Results: The constructed PRS was significantly and modestly correlated with midlife BMI in both White and Black participants, with correlation coefficients of 0.27 ( P =1.94×10 −8 ) and 0.16 ( P =5.50×10 −3 ), respectively. In White participants, per SD increase of PRS was associated with an average 1.29 kg/m 2 higher BMI ( P =4.44×10 −9 ), 2.82 mg/dL higher fasting plasma glucose ( P =1.17×10 −3 ), and 1.09 mm Hg higher systolic blood pressure ( P =3.57×10 −2 ) at midlife. The PRS also conferred a 26% higher increased risk of obesity ( P =3.50×10 −6 ) in White participants. In addition, the variance in midlife BMI explained increased from 0.1973 to 0.2293 when PRS was added to the model including age, sex, principal components, and baseline BMI ( P <0.0001). No associations were observed in Black participants. Conclusions: Adiposity-related genetic information independently predicted cardiometabolic health in White BHS participants. Null associations observed in Black BHS participants highlight the urgent need for PRS development in multi-ancestry populations.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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