Correction: African Ancestry and Its Correlation to Type 2 Diabetes in African Americans: A Genetic Admixture Analysis in Three U.S. Population Cohorts
Open accessAbstract
The risk of type 2 diabetes is approximately 2-fold higher in African Americans than in European Americans even after adjusting for known environmental risk factors, including socioeconomic status (SES), suggesting that genetic factors may explain some of this population difference in disease risk.However, relatively few genetic studies have examined this hypothesis in a large sample of African Americans with and without diabetes.Therefore, we performed an admixture analysis using 2,189 ancestry-informative markers in 7,021 African Americans (2,373 with type 2 diabetes and 4,648 without) from the Atherosclerosis Risk in Communities Study, the Jackson Heart Study, and the Multiethnic Cohort to 1) determine the association of type 2 diabetes and its related quantitative traits with African ancestry controlling for measures of SES and 2) identify genetic loci for type 2 diabetes through a genome-wide admixture mapping scan.The median percentage of African ancestry of diabetic participants was slightly greater than that of non-diabetic participants (study-adjusted difference = 1.6%, P,0.001).The odds ratio for diabetes comparing participants in the highest vs. lowest tertile of African ancestry was 1.33 (95% confidence interval 1.13-1.55),after adjustment for age, sex, study, body mass index (BMI), and SES.Admixture scans identified two potential loci for diabetes at 12p13.31 (LOD = 4.0) and 13q14.3(Z score = 4.5, P = 6.6610 26 ).In conclusion, genetic ancestry has a significant association with type 2 diabetes above and beyond its association with nongenetic risk factors for type 2 diabetes in African Americans, but no single gene with a major effect is sufficient to explain a large portion of the observed population difference in risk of diabetes.There undoubtedly is a complex interplay among specific genetic loci and non-genetic factors, which may both be associated with overall admixture, leading to the observed ethnic differences in diabetes risk.
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Admixture studies generally find that admixture relates to the trait under investigation above and beyond covariates.
“These studies generally find that admixture relates to the trait under investigation above and beyond covariates.”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [37]
The Discussion reports that greater African ancestry was associated with type 2 diabetes and HbA1c even after adjustment for BMI and socioeconomic markers. This supports the cited study as an example, but the paper does not establish that admixture studies generally find such associations across traits. (LLM, conf=0.83)
Experimental — accuracy not yet measuredAfrican-Americans have around 20% European DNA.
“Generally, African-Americans have around 20% European DNA [37,[59][60][61][62].”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [37]
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Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442 · see citing works
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491 · see citing works
(1989) · PubMed · Cited by 3,139 · see citing works
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993 · see citing works
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843 · see citing works
Self-citationA genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753 · see citing works
Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Manolescu, A., Sainz, J., Helgason, A., Stefansson, H., Emilsson, V., Helgadottir, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1732 · Cited by 2,287 · see citing works
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194 · see citing works
Association of Trypanolytic ApoL1 Variants with Kidney Disease in African Americans
Genovese, G., Friedman, D. J., Ross, M. D., Lecordier, L., Uzureau, P., Freedman, B. I., Bowden, D. W., Langefeld, C. D., Oleksyk, T. K., Uscinski Knob, A. L., et al. (2010) · Science · doi:10.1126/science.1193032 · Cited by 2,028 · see citing works
Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864 · see citing works
Self-citationTwelve type 2 diabetes susceptibility loci identified through large-scale association analysis
The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.609 · Cited by 1,761 · see citing works
Self-citationFull accounting of diabetes and pre-diabetes in the U.S. population in 1988–1994 and 2005–2006
Cowie, C. C., Rust, K. F., Ford, E. S., Eberhardt, M. S., Byrd-Holt, D. D., Li, C., Williams, D. E., Gregg, E. W., Bainbridge, K. E., Saydah, S. H., et al. (2009) · Diabetes Care · doi:10.2337/dc08-1296 · Cited by 1,154 · see citing works
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
Steinthorsdottir, V., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Jonsdottir, T., Walters, G. B., Styrkarsdottir, U., Gretarsdottir, S., Emilsson, V., Ghosh, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2043 · Cited by 1,072 · see citing works
A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
Kolonel, L. N., Henderson, B. E., Hankin, J. H., Nomura, A. M. Y., Wilkens, L. R., Pike, M. C., Stram, D. O., Monroe, K. R., Earle, M. E., & Nagamine, F. S. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010213 · Cited by 1,024 · see citing works
Self-citationVariants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
Yasuda, K., Miyake, K., Horikawa, Y., Hara, K., Osawa, H., Furuta, H., Hirota, Y., Mori, H., Jonsson, A., Sato, Y., et al. (2008) · Nature Genetics · doi:10.1038/ng.207 · Cited by 776 · see citing works
Multiple regions within 8q24 independently affect risk for prostate cancer
Haiman, C. A., Patterson, N., Freedman, M. L., Myers, S. R., Pike, M. C., Waliszewska, A., Neubauer, J., Tandon, A., Schirmer, C., McDonald, G. J., et al. (2007) · Nature Genetics · doi:10.1038/ng2015 · Cited by 663 · see citing works
Self-citationMYH9 is associated with nondiabetic end-stage renal disease in African Americans
Kao, W. H. L., Klag, M. J., Meoni, L. A., Reich, D., Berthier‐Schaad, Y., Li, M., Coresh, J., Patterson, N. J., Tandon, A., Powe, N. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.232 · Cited by 649 · see citing works
Self-citationAdmixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men
Freedman, M. L., Haiman, C. A., Patterson, N., McDonald, G. J., Tandon, A., Waliszewska, A., Penney, K., Steen, R. G., Ardlie, K., John, E. M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605832103 · Cited by 612 · see citing works
Self-citationBouatia-Naji, N., Bonnefond, A., Cavalcanti-Proença, C., Sparsø, T., Holmkvist, J., Marchand, M., Delplanque, J., Lobbens, S., Rocheleau, G., Durand, E., et al. (2009) · Nature Genetics · doi:10.1038/ng.277 · Cited by 611 · see citing works
Genome–wide association studies provide new insights into type 2 diabetes aetiology
Frayling, T. M. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2178 · Cited by 590 · see citing works
Haffner, S. M., Ralph, D., Saad, M. F., Rewers, M., Mykkänen, L., Selby, J., Howard, G., Savage, P. J., Hamman, R. F., Wegenknecht, L. E., et al. (1996) · Diabetes · doi:10.2337/diab.45.6.742 · Cited by 536 · see citing works
Taylor, H. A., WILSON, J. G., Jones, D. W., Sarpong, D. F., Srinivasan, A., Garrison, R. J., Nelson, C. R., & Wyatt, S. B. (2005) · PubMed · Cited by 525 · see citing works
Self-citationRung, J., Cauchi, S., Albrechtsen, A., Shen, L., Rocheleau, G., Cavalcanti-Proença, C., Bacot, F., Balkau, B., Belisle, A., Borch-Johnsen, K., et al. (2009) · Nature Genetics · doi:10.1038/ng.443 · Cited by 479 · see citing works
Methods for High-Density Admixture Mapping of Disease Genes
Patterson, N. J., Hattangadi, N., Lane, B., Lohmueller, K. E., Hafler, D. A., Oksenberg, J. R., Hauser, S. L., Smith, M. W., O’Brien, S. J., Altshuler, D., et al. (2004) · The American Journal of Human Genetics · doi:10.1086/420871 · Cited by 472 · see citing works
Self-citationA High-Density Admixture Map for Disease Gene Discovery in African Americans
Smith, M. W., Patterson, N., Lautenberger, J. A., Truelove, A. L., McDonald, G. J., Waliszewska, A., Kessing, B. D., Malasky, M. J., Scafe, C., Le, E., et al. (2004) · The American Journal of Human Genetics · doi:10.1086/420856 · Cited by 459 · see citing works
Self-citationReich, D., Nalls, M. A., Kao, W. H. L., Akylbekova, E. L., Tandon, A., Patterson, N., Mullikin, J., Hsueh, W.-C., Cheng, C.-Y., Coresh, J., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000360 · Cited by 423 · see citing works
Self-citationLettre, G., Palmer, C. D., Young, T., Ejebe, K. G., Allayee, H., Benjamin, E. J., Bennett, F. I., Bowden, D. W., Chakravarti, A., Dreisbach, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001300 · Cited by 308 · see citing works
Self-citationFlorez, J. C. (2008) · Diabetologia · doi:10.1007/s00125-008-1025-9 · Cited by 290 · see citing works
A whole-genome admixture scan finds a candidate locus for multiple sclerosis susceptibility
Reich, D., Patterson, N. J., Jager, P. L. D., McDonald, G. J., Waliszewska, A., Tandon, A., Lincoln, R., DeLoa, C., Fruhan, S. A., Cabre, P., et al. (2005) · Nature Genetics · doi:10.1038/ng1646 · Cited by 269 · see citing works
Self-citationCarpenter, M. A., Crow, R. S., Steffes, M. W., Rock, W., Skelton, T. N., Heilbraun, J., Evans, G. W., Jensen, R. L., & Sarpong, D. F. (2004) · The American Journal of the Medical Sciences · doi:10.1097/00000441-200409000-00001 · Cited by 265 · see citing works
Arslanian, S. A., & Suprasongsin, C. (1996) · The Journal of Pediatrics · doi:10.1016/s0022-3476(96)70078-1 · Cited by 187 · see citing works
Karter, A. J., Mayer‐Davis, E. J., Selby, J. V., D'Agostino, R. B., Haffner, S. M., Sholinsky, P. D., Bergman, R. N., Saad, M. F., & Hamman, R. F. (1996) · Diabetes · doi:10.2337/diab.45.11.1547 · Cited by 170 · see citing works
Admixture Mapping of an Allele Affecting Interleukin 6 Soluble Receptor and Interleukin 6 Levels
Reich, D., Patterson, N. J., Ramesh, V., Jager, P. L. D., McDonald, G. J., Tandon, A., Choy, E., Hu, D., Tamraz, B., Pawlikowska, L., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/513206 · Cited by 169 · see citing works
Self-citationAssociation of Diabetes With Prostate Cancer Risk in the Multiethnic Cohort
Waters, K. M., Henderson, B. E., Stram, D. O., Wan, P., Kolonel, L. N., & Haiman, C. A. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp003 · Cited by 161 · see citing works
Self-citationStudy design for genetic analysis in the Jackson Heart Study.
Wilson, J. G., Rotimi, C. N., Ekunwe, L., Royal, C. D. M., Crump, M. E., Wyatt, S. B., Steffes, M. W., Adeyemo, A., Zhou, J., Taylor, H. A., et al. (2005) · PubMed · Cited by 117 · see citing works
Self-citationGower, B. A., Granger, W. M., Franklin, F., Shewchuk, R. M., & Goran, M. I. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.5.8498 · Cited by 114 · see citing works
Ku, C., Gower, B. A., Hunter, G. R., & Goran, M. I. (2000) · Obesity Research · doi:10.1038/oby.2000.63 · Cited by 108 · see citing works
Florez, J. C., Price, A. L., Campbell, D., Riba, L., Parra, M. V., Yu, F., Duque, C., Saxena, R., Gallego, N., Tello-Ruiz, M., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1412-x · Cited by 106 · see citing works
Self-citationGenomics of type 2 diabetes mellitus: implications for the clinician
Stolerman, E. S., & Florez, J. C. (2009) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2009.129 · Cited by 91 · see citing works
Leahy, J. L. (2007) · Yearbook of Endocrinology · doi:10.1016/s0084-3741(08)70025-8 · Cited by 89 · see citing works
Cheng, C., Kao, W. H. L., Patterson, N. J., Tandon, A., Haiman, C. A., Harris, T. B., Xing, C., John, E. M., Ambrosone, C. B., Brancati, F. L., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000490 · Cited by 85 · see citing works
Self-citationFat distribution and insulin response in prepubertal African American and white children
Gower, B., Nagy, T. R., Trowbridge, C., Dezenberg, C., & Goran, M. I. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.5.821 · Cited by 82 · see citing works
Will admixture mapping work to find disease genes?
Reich, D., & Patterson, N. J. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1691 · Cited by 80 · see citing works
Self-citationForward chemical genetic approach identifies new role for GAPDH in insulin signaling
Min, J., Kim, Y. K., Cipriani, P. G., Kang, M., Khersonsky, S. M., Walsh, D. P., Lee, J.-Y., Niessen, S., Yates, J. R., Gunsalus, K. C., et al. (2006) · Nature Chemical Biology · doi:10.1038/nchembio833 · Cited by 78 · see citing works
Osei, K., & Schuster, D. M. (1996) · American Journal of Hypertension · doi:10.1016/s0895-7061(96)00248-8 · Cited by 76 · see citing works
Elbein, S. C., Das, S. K., Hallman, D. M., Hanis, C. L., & Hasstedt, S. J. (2008) · Diabetes · doi:10.2337/db08-0931 · Cited by 72 · see citing works
Selvin, E., Coresh, J., Hong, Z. H. U., Folsom, A. R., & Steffes, M. W. (2010) · Journal of Diabetes · doi:10.1111/j.1753-0407.2010.00070.x · Cited by 68 · see citing works
Self-citationCheng, C., Reich, D., Coresh, J., Boerwinkle, E., Patterson, N. J., Li, M., North, K. E., Tandon, A., Wilson, J., Wilson, J. G., et al. (2009) · Obesity · doi:10.1038/oby.2009.282 · Cited by 47 · see citing works
Self-citationTaylor, H. A. (2003) · PubMed · Cited by 28 · see citing works
Self-citationCheng, C., Reich, D., Wong, T. Y., Klein, R., Klein, B. E. K., Patterson, N. J., Tandon, A., Li, M., Boerwinkle, E., Sharrett, A. R., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000908 · Cited by 24 · see citing works
Self-citationNalls, M. A., Wilson, J. G., Patterson, N. J., Tandon, A., Zmuda, J. M., Huntsman, S., Garcia, M., Hu, D., Li, R., Beamer, B. A., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.01.002 · Cited by 5 · see citing works
Self-citationA High-Density Admixture Scan in 1,670 African Americans with Hypertension
Deo, R. C., Patterson, N. J., Tandon, A., McDonald, G. J., Haiman, C. A., Ardlie, K., Henderson, B. E., Henderson, S. O., & Reich, D. (2005) · PLoS Genetics · doi:10.1371/journal.pgen.0030196.eor · Cited by 2 · see citing works
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- Authors
- Cheng, C.-Y., Reich, D., Haiman, C. A., Tandon, A., Patterson, N., Elizabeth, S., Akylbekova, E. L., Brancati, F. L., Coresh, J., Boerwinkle, E., Altshuler, D., Taylor, H. A., Henderson, B. E., Wilson, J. G., & Kao, W. H. L.
- Affiliations
- Johns Hopkins University (US)
- Broad Institute (US)
- University of Southern California (US)
- Jackson State University (US)
- The University of Texas Health Science Center at Houston (US)
- Tougaloo College (US)
- University of Mississippi Medical Center (US)
- Corresponding author
- Kao, W. H. Linda
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-09-20
- Volume
- 7
- Issue
- 9
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3466099
- OpenAlex
- W4240454055
- Cited by
- 2
- References
- 52
- Citations by year
- 2019: 1 · 2018: 1
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Johns Hopkins University (N01-HG-65403)
- Ministerio de Economía y Competitividad (CA63464, CA54281)
- National Institutes of Health (N01-HC55020, N01-HC-55021, N01‐HG‐65403, N01-HC-95172, P60-DK079637, N01-HC-55019, N01-HC-55022, N01-HC55016, N01-HC-95170, N01-HC55018, CA54281, CA63464, N01-HC-55015, N01-HC-95171)
- National Heart, Lung, and Blood Institute (N01-HV-48195, N01-HC55022, N01-HC-55018, N01 HC 55020, N01 HC 55019, N01HC95172, N01-HC55016, N01 HC 95170, N01‐HC‐55015, N01-HC55021, N01 HC-95171)
- National Cancer Institute (CA63464, CA 54281)
- National Institute of Diabetes and Digestive and Kidney Diseases (P60 DK-079637, N01-HC-55016, N01-HC-55018, N01-HC-55021, N01-HC-55020, N01-HC-55015, N01-HC-55019, N01-HC-55022)
- National Center on Minority Health and Health Disparities
- National Institute on Minority Health and Health Disparities
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Keywords
- type 2 diabetes, African ancestry, African Americans, genetic admixture, admixture mapping, ancestry informative markers, socioeconomic status, ethnic differences in diabetes risk, quantitative traits
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