Genetic Contributors of Incident Stroke in 10,700 African Americans With Hypertension: A Meta-Analysis From the Genetics of Hypertension Associated Treatments and Reasons for Geographic and Racial Differences in Stroke Studies

Nicole D. Armstrong, Vinodh Srinivasasainagendra, Amit Patki, Rikki M. Tanner, Bertha A. Hidalgo, Hemant K. Tiwari, Nita A. Limdi, Ethan M. Lange, Leslie A. Lange, Donna K. Arnett, Marguerite R. Irvin

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10 Scopus citations

Abstract

Background: African Americans (AAs) suffer a higher stroke burden due to hypertension. Identifying genetic contributors to stroke among AAs with hypertension is critical to understanding the genetic basis of the disease, as well as detecting at-risk individuals. Methods: In a population comprising over 10,700 AAs treated for hypertension from the Genetics of Hypertension Associated Treatments (GenHAT) and Reasons for Geographic and Racial Differences in Stroke (REGARDS) studies, we performed an inverse variance-weighted meta-analysis of incident stroke. Additionally, we tested the predictive accuracy of a polygenic risk score (PRS) derived from a European ancestral population in both GenHAT and REGARDS AAs aiming to evaluate cross-ethnic performance. Results: We identified 10 statistically significant (p < 5.00E-08) and 90 additional suggestive (p < 1.00E-06) variants associated with incident stroke in the meta-analysis. Six of the top 10 variants were located in an intergenic region on chromosome 18 (LINC01443-LOC644669). Additional variants of interest were located in or near the COL12A1, SNTG1, PCDH7, TMTC1, and NTM genes. Replication was conducted in the Warfarin Pharmacogenomics Cohort (WPC), and while none of the variants were directly validated, seven intronic variants of NTM proximal to our target variants, had a p-value <5.00E-04 in the WPC. The inclusion of the PRS did not improve the prediction accuracy compared to a reference model adjusting for age, sex, and genetic ancestry in either study and had lower predictive accuracy compared to models accounting for established stroke risk factors. These results demonstrate the necessity for PRS derivation in AAs, particularly for diseases that affect AAs disproportionately. Conclusion: This study highlights biologically plausible genetic determinants for incident stroke in hypertensive AAs. Ultimately, a better understanding of genetic risk factors for stroke in AAs may give new insight into stroke burden and potential clinical tools for those among the highest at risk.

Original languageEnglish
Article number781451
JournalFrontiers in Genetics
Volume12
DOIs
StatePublished - Dec 21 2021

Bibliographical note

Publisher Copyright:
Copyright © 2021 Armstrong, Srinivasasainagendra, Patki, Tanner, Hidalgo, Tiwari, Limdi, Lange, Lange, Arnett and Irvin.

Funding

The study was supported by the National Institutes of Health (NIH) National Heart, Lung, and Blood Institute (NHLBI) grants R01HL123782 (MI) and R01HL136666 (MI, LL). NA was supported by an NIH NHLBI T32 Fellowship (T32HL007457). The Warfarin Pharmacogenomics Cohort was supported by NHLBI grant R01HL092173 (NL). The REGARDS study is supported by a cooperative agreement U01 NS041588 from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, U.S. Department of Health and Human Services. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Neurological Disorders and Stroke or the National Institutes of Health. Representatives of the funding agency have been involved in the review of the manuscript but not directly involved in the collection, management, analysis, or interpretation of the data.

FundersFunder number
National Institutes of Health (NIH)
U.S. Department of Health and Human Services
National Heart, Lung, and Blood Institute (NHLBI)U01 NS041588, R01HL123782, T32HL007457, R01HL092173, R01HL136666
Institute of Neurological Disorders and Stroke National Advisory Neurological Disorders and Stroke Council

    Keywords

    • antihypertensives
    • disparities
    • genome wide association studies
    • hypertension
    • incident stroke
    • polygenic risk score

    ASJC Scopus subject areas

    • Molecular Medicine
    • Genetics
    • Genetics(clinical)

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