Background: Cardiovascular disease, diabetes, and kidney disease are among the leading causes of death and disability worldwide. However, knowledge of genetic determinants of those diseases in African Americans remains limited.

Results: In our study, associations between 4956 GWAS catalog reported SNPs and 67 traits were examined among 7726 African Americans from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, which is focused on identifying factors that increase stroke risk. The prevalent and incident phenotypes studied included inflammation, kidney traits, cardiovascular traits and cognition. Our results validated 29 known associations, of which eight associations were reported for the first time in African Americans.

Conclusion: Our cross-racial validation of GWAS findings provide additional evidence for the important roles of these loci in the disease process and may help identify genes especially important for future functional validation.

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Published in BMC Medical Genomics, v. 12, suppl 1, article no. 26, p. 167-177.

© The Author(s). 2019

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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The REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort is supported by a cooperative agreement U01 NS041588 from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, Department of Health and Human Service. X.Z is supported by University of Alabama at Birmingham Statistical Genetics Post-Doctoral Training Grant (NIH T32HL072757). X.G. and D.Z. are partially supported by Agriculture and Food Research Initiative Competitive Grant no. 2015–67015-22975 from the USDA National Institute of Food and Agriculture (NIFA), and USDA Aquaculture Research Program Competitive Grant no. 2014–70007-22395. This work was also supported by 1RC4MD005964. Publication charges for this article have been funded by NIH R01HG010086.

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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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