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Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium

Common genetic risk variants for type 2 diabetes (T2D) have primarily been identified in populations of European and Asian ancestry. We tested whether the direction of association with 20 T2D risk variants generalizes across six major racial/ethnic groups in the U.S. as part of the Population Archit...

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Autores principales: Haiman, Christopher A., Fesinmeyer, Megan D., Spencer, Kylee L., Bůžková, Petra, Voruganti, V. Saroja, Wan, Peggy, Haessler, Jeff, Franceschini, Nora, Monroe, Kristine R., Howard, Barbara V., Jackson, Rebecca D., Florez, Jose C., Kolonel, Laurence N., Buyske, Steven, Goodloe, Robert J., Liu, Simin, Manson, JoAnn E., Meigs, James B., Waters, Kevin, Mukamal, Kenneth J., Pendergrass, Sarah A., Shrader, Peter, Wilkens, Lynne R., Hindorff, Lucia A., Ambite, Jose Luis, North, Kari E., Peters, Ulrike, Crawford, Dana C., Le Marchand, Loic, Pankow, James S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357304/
https://www.ncbi.nlm.nih.gov/pubmed/22474029
http://dx.doi.org/10.2337/db11-1296
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author Haiman, Christopher A.
Fesinmeyer, Megan D.
Spencer, Kylee L.
Bůžková, Petra
Voruganti, V. Saroja
Wan, Peggy
Haessler, Jeff
Franceschini, Nora
Monroe, Kristine R.
Howard, Barbara V.
Jackson, Rebecca D.
Florez, Jose C.
Kolonel, Laurence N.
Buyske, Steven
Goodloe, Robert J.
Liu, Simin
Manson, JoAnn E.
Meigs, James B.
Waters, Kevin
Mukamal, Kenneth J.
Pendergrass, Sarah A.
Shrader, Peter
Wilkens, Lynne R.
Hindorff, Lucia A.
Ambite, Jose Luis
North, Kari E.
Peters, Ulrike
Crawford, Dana C.
Le Marchand, Loic
Pankow, James S.
author_facet Haiman, Christopher A.
Fesinmeyer, Megan D.
Spencer, Kylee L.
Bůžková, Petra
Voruganti, V. Saroja
Wan, Peggy
Haessler, Jeff
Franceschini, Nora
Monroe, Kristine R.
Howard, Barbara V.
Jackson, Rebecca D.
Florez, Jose C.
Kolonel, Laurence N.
Buyske, Steven
Goodloe, Robert J.
Liu, Simin
Manson, JoAnn E.
Meigs, James B.
Waters, Kevin
Mukamal, Kenneth J.
Pendergrass, Sarah A.
Shrader, Peter
Wilkens, Lynne R.
Hindorff, Lucia A.
Ambite, Jose Luis
North, Kari E.
Peters, Ulrike
Crawford, Dana C.
Le Marchand, Loic
Pankow, James S.
author_sort Haiman, Christopher A.
collection PubMed
description Common genetic risk variants for type 2 diabetes (T2D) have primarily been identified in populations of European and Asian ancestry. We tested whether the direction of association with 20 T2D risk variants generalizes across six major racial/ethnic groups in the U.S. as part of the Population Architecture using Genomics and Epidemiology Consortium (16,235 diabetes case and 46,122 control subjects of European American, African American, Hispanic, East Asian, American Indian, and Native Hawaiian ancestry). The percentage of positive (odds ratio [OR] >1 for putative risk allele) associations ranged from 69% in American Indians to 100% in European Americans. Of the nine variants where we observed significant heterogeneity of effect by racial/ethnic group (P(heterogeneity) < 0.05), eight were positively associated with risk (OR >1) in at least five groups. The marked directional consistency of association observed for most genetic variants across populations implies a shared functional common variant in each region. Fine-mapping of all loci will be required to reveal markers of risk that are important within and across populations.
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spelling pubmed-33573042013-06-01 Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium Haiman, Christopher A. Fesinmeyer, Megan D. Spencer, Kylee L. Bůžková, Petra Voruganti, V. Saroja Wan, Peggy Haessler, Jeff Franceschini, Nora Monroe, Kristine R. Howard, Barbara V. Jackson, Rebecca D. Florez, Jose C. Kolonel, Laurence N. Buyske, Steven Goodloe, Robert J. Liu, Simin Manson, JoAnn E. Meigs, James B. Waters, Kevin Mukamal, Kenneth J. Pendergrass, Sarah A. Shrader, Peter Wilkens, Lynne R. Hindorff, Lucia A. Ambite, Jose Luis North, Kari E. Peters, Ulrike Crawford, Dana C. Le Marchand, Loic Pankow, James S. Diabetes Genetics/Genomes/Proteomics/Metabolomics Common genetic risk variants for type 2 diabetes (T2D) have primarily been identified in populations of European and Asian ancestry. We tested whether the direction of association with 20 T2D risk variants generalizes across six major racial/ethnic groups in the U.S. as part of the Population Architecture using Genomics and Epidemiology Consortium (16,235 diabetes case and 46,122 control subjects of European American, African American, Hispanic, East Asian, American Indian, and Native Hawaiian ancestry). The percentage of positive (odds ratio [OR] >1 for putative risk allele) associations ranged from 69% in American Indians to 100% in European Americans. Of the nine variants where we observed significant heterogeneity of effect by racial/ethnic group (P(heterogeneity) < 0.05), eight were positively associated with risk (OR >1) in at least five groups. The marked directional consistency of association observed for most genetic variants across populations implies a shared functional common variant in each region. Fine-mapping of all loci will be required to reveal markers of risk that are important within and across populations. American Diabetes Association 2012-06 2012-05-14 /pmc/articles/PMC3357304/ /pubmed/22474029 http://dx.doi.org/10.2337/db11-1296 Text en © 2012 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Genetics/Genomes/Proteomics/Metabolomics
Haiman, Christopher A.
Fesinmeyer, Megan D.
Spencer, Kylee L.
Bůžková, Petra
Voruganti, V. Saroja
Wan, Peggy
Haessler, Jeff
Franceschini, Nora
Monroe, Kristine R.
Howard, Barbara V.
Jackson, Rebecca D.
Florez, Jose C.
Kolonel, Laurence N.
Buyske, Steven
Goodloe, Robert J.
Liu, Simin
Manson, JoAnn E.
Meigs, James B.
Waters, Kevin
Mukamal, Kenneth J.
Pendergrass, Sarah A.
Shrader, Peter
Wilkens, Lynne R.
Hindorff, Lucia A.
Ambite, Jose Luis
North, Kari E.
Peters, Ulrike
Crawford, Dana C.
Le Marchand, Loic
Pankow, James S.
Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title_full Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title_fullStr Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title_full_unstemmed Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title_short Consistent Directions of Effect for Established Type 2 Diabetes Risk Variants Across Populations: The Population Architecture using Genomics and Epidemiology (PAGE) Consortium
title_sort consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using genomics and epidemiology (page) consortium
topic Genetics/Genomes/Proteomics/Metabolomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357304/
https://www.ncbi.nlm.nih.gov/pubmed/22474029
http://dx.doi.org/10.2337/db11-1296
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