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Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study

BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose...

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Autores principales: Fesinmeyer, Megan D, Meigs, James B, North, Kari E, Schumacher, Fredrick R, Bůžková, Petra, Franceschini, Nora, Haessler, Jeffrey, Goodloe, Robert, Spencer, Kylee L, Voruganti, Venkata Saroja, Howard, Barbara V, Jackson, Rebecca, Kolonel, Laurence N, Liu, Simin, Manson, JoAnn E, Monroe, Kristine R, Mukamal, Kenneth, Dilks, Holli H, Pendergrass, Sarah A, Nato, Andrew, Wan, Peggy, Wilkens, Lynne R, Marchand, Loic Le, Ambite, José Luis, Buyske, Steven, Florez, Jose C, Crawford, Dana C, Hindorff, Lucia A, Haiman, Christopher A, Peters, Ulrike, Pankow, James S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849560/
https://www.ncbi.nlm.nih.gov/pubmed/24063630
http://dx.doi.org/10.1186/1471-2350-14-98
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author Fesinmeyer, Megan D
Meigs, James B
North, Kari E
Schumacher, Fredrick R
Bůžková, Petra
Franceschini, Nora
Haessler, Jeffrey
Goodloe, Robert
Spencer, Kylee L
Voruganti, Venkata Saroja
Howard, Barbara V
Jackson, Rebecca
Kolonel, Laurence N
Liu, Simin
Manson, JoAnn E
Monroe, Kristine R
Mukamal, Kenneth
Dilks, Holli H
Pendergrass, Sarah A
Nato, Andrew
Wan, Peggy
Wilkens, Lynne R
Marchand, Loic Le
Ambite, José Luis
Buyske, Steven
Florez, Jose C
Crawford, Dana C
Hindorff, Lucia A
Haiman, Christopher A
Peters, Ulrike
Pankow, James S
author_facet Fesinmeyer, Megan D
Meigs, James B
North, Kari E
Schumacher, Fredrick R
Bůžková, Petra
Franceschini, Nora
Haessler, Jeffrey
Goodloe, Robert
Spencer, Kylee L
Voruganti, Venkata Saroja
Howard, Barbara V
Jackson, Rebecca
Kolonel, Laurence N
Liu, Simin
Manson, JoAnn E
Monroe, Kristine R
Mukamal, Kenneth
Dilks, Holli H
Pendergrass, Sarah A
Nato, Andrew
Wan, Peggy
Wilkens, Lynne R
Marchand, Loic Le
Ambite, José Luis
Buyske, Steven
Florez, Jose C
Crawford, Dana C
Hindorff, Lucia A
Haiman, Christopher A
Peters, Ulrike
Pankow, James S
author_sort Fesinmeyer, Megan D
collection PubMed
description BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S. METHODS: As part of the 'Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites. RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 × 10(-15)), versus 3/9 in AA (p= 0.03 to 6 × 10(-5)), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only. CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium.
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spelling pubmed-38495602013-12-05 Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study Fesinmeyer, Megan D Meigs, James B North, Kari E Schumacher, Fredrick R Bůžková, Petra Franceschini, Nora Haessler, Jeffrey Goodloe, Robert Spencer, Kylee L Voruganti, Venkata Saroja Howard, Barbara V Jackson, Rebecca Kolonel, Laurence N Liu, Simin Manson, JoAnn E Monroe, Kristine R Mukamal, Kenneth Dilks, Holli H Pendergrass, Sarah A Nato, Andrew Wan, Peggy Wilkens, Lynne R Marchand, Loic Le Ambite, José Luis Buyske, Steven Florez, Jose C Crawford, Dana C Hindorff, Lucia A Haiman, Christopher A Peters, Ulrike Pankow, James S BMC Med Genet Research Article BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S. METHODS: As part of the 'Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites. RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 × 10(-15)), versus 3/9 in AA (p= 0.03 to 6 × 10(-5)), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only. CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium. BioMed Central 2013-09-25 /pmc/articles/PMC3849560/ /pubmed/24063630 http://dx.doi.org/10.1186/1471-2350-14-98 Text en Copyright © 2013 Fesinmeyer et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fesinmeyer, Megan D
Meigs, James B
North, Kari E
Schumacher, Fredrick R
Bůžková, Petra
Franceschini, Nora
Haessler, Jeffrey
Goodloe, Robert
Spencer, Kylee L
Voruganti, Venkata Saroja
Howard, Barbara V
Jackson, Rebecca
Kolonel, Laurence N
Liu, Simin
Manson, JoAnn E
Monroe, Kristine R
Mukamal, Kenneth
Dilks, Holli H
Pendergrass, Sarah A
Nato, Andrew
Wan, Peggy
Wilkens, Lynne R
Marchand, Loic Le
Ambite, José Luis
Buyske, Steven
Florez, Jose C
Crawford, Dana C
Hindorff, Lucia A
Haiman, Christopher A
Peters, Ulrike
Pankow, James S
Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title_full Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title_fullStr Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title_full_unstemmed Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title_short Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
title_sort genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the population architecture using genomics and epidemiology (page) study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849560/
https://www.ncbi.nlm.nih.gov/pubmed/24063630
http://dx.doi.org/10.1186/1471-2350-14-98
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