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A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians
Pima Indians living in Arizona have a high prevalence of obesity, and we have previously shown that a relatively lower energy expenditure (EE) predicts weight and fat mass gain in this population. EE is a familial trait (heritability = 0.52); therefore, in the current study, we aimed to identify gen...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521859/ https://www.ncbi.nlm.nih.gov/pubmed/28476931 http://dx.doi.org/10.2337/db16-1565 |
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author | Piaggi, Paolo Masindova, Ivica Muller, Yunhua L. Mercader, Josep Wiessner, Gregory B. Chen, Peng Kobes, Sayuko Hsueh, Wen-Chi Mongalo, Milliejoan Knowler, William C. Krakoff, Jonathan Hanson, Robert L. Bogardus, Clifton Baier, Leslie J. |
author_facet | Piaggi, Paolo Masindova, Ivica Muller, Yunhua L. Mercader, Josep Wiessner, Gregory B. Chen, Peng Kobes, Sayuko Hsueh, Wen-Chi Mongalo, Milliejoan Knowler, William C. Krakoff, Jonathan Hanson, Robert L. Bogardus, Clifton Baier, Leslie J. |
author_sort | Piaggi, Paolo |
collection | PubMed |
description | Pima Indians living in Arizona have a high prevalence of obesity, and we have previously shown that a relatively lower energy expenditure (EE) predicts weight and fat mass gain in this population. EE is a familial trait (heritability = 0.52); therefore, in the current study, we aimed to identify genetic variants that affect EE and thereby influence BMI and body fatness in Pima Indians. Genotypic data from 491,265 variants were analyzed for association with resting metabolic rate (RMR) and 24-h EE assessed in a whole-room calorimeter in 507 and 419 Pima Indians, respectively. Variants associated with both measures of EE were analyzed for association with maximum BMI and percent body fat (PFAT) in 5,870 and 912 Pima Indians, respectively. rs11014566 nominally associated with both measures of EE and both measures of adiposity in Pima Indians, where the G allele (frequency: Pima Indians = 0.60, Europeans <0.01) associated with lower 24-h EE (β = −33 kcal/day per copy), lower RMR (β = −31 kcal/day), higher BMI (β = +0.6 kg/m(2)), and higher PFAT (β = +0.9%). However, the association of rs11014566 with BMI did not directionally replicate when assessed in other ethnic groups. rs11014566 tags rs144895904, which affected promoter function in an in vitro luciferase assay. These variants map to GPR158, which is highly expressed in the brain and interacts with two other genes (RGS7 and CACNA1B) known to affect obesity in knockout mice. Our results suggest that common ethnic-specific variation in GPR158 may influence EE; however, its role in weight gain remains controversial, as it either had no association with BMI or associated with BMI but in the opposite direction in other ethnic groups. |
format | Online Article Text |
id | pubmed-5521859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-55218592018-08-01 A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians Piaggi, Paolo Masindova, Ivica Muller, Yunhua L. Mercader, Josep Wiessner, Gregory B. Chen, Peng Kobes, Sayuko Hsueh, Wen-Chi Mongalo, Milliejoan Knowler, William C. Krakoff, Jonathan Hanson, Robert L. Bogardus, Clifton Baier, Leslie J. Diabetes Genetics/Genomes/Proteomics/Metabolomics Pima Indians living in Arizona have a high prevalence of obesity, and we have previously shown that a relatively lower energy expenditure (EE) predicts weight and fat mass gain in this population. EE is a familial trait (heritability = 0.52); therefore, in the current study, we aimed to identify genetic variants that affect EE and thereby influence BMI and body fatness in Pima Indians. Genotypic data from 491,265 variants were analyzed for association with resting metabolic rate (RMR) and 24-h EE assessed in a whole-room calorimeter in 507 and 419 Pima Indians, respectively. Variants associated with both measures of EE were analyzed for association with maximum BMI and percent body fat (PFAT) in 5,870 and 912 Pima Indians, respectively. rs11014566 nominally associated with both measures of EE and both measures of adiposity in Pima Indians, where the G allele (frequency: Pima Indians = 0.60, Europeans <0.01) associated with lower 24-h EE (β = −33 kcal/day per copy), lower RMR (β = −31 kcal/day), higher BMI (β = +0.6 kg/m(2)), and higher PFAT (β = +0.9%). However, the association of rs11014566 with BMI did not directionally replicate when assessed in other ethnic groups. rs11014566 tags rs144895904, which affected promoter function in an in vitro luciferase assay. These variants map to GPR158, which is highly expressed in the brain and interacts with two other genes (RGS7 and CACNA1B) known to affect obesity in knockout mice. Our results suggest that common ethnic-specific variation in GPR158 may influence EE; however, its role in weight gain remains controversial, as it either had no association with BMI or associated with BMI but in the opposite direction in other ethnic groups. American Diabetes Association 2017-08 2017-05-05 /pmc/articles/PMC5521859/ /pubmed/28476931 http://dx.doi.org/10.2337/db16-1565 Text en © 2017 by the American Diabetes Association. http://www.diabetesjournals.org/content/licenseReaders 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. More information is available at http://www.diabetesjournals.org/content/license. |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Piaggi, Paolo Masindova, Ivica Muller, Yunhua L. Mercader, Josep Wiessner, Gregory B. Chen, Peng Kobes, Sayuko Hsueh, Wen-Chi Mongalo, Milliejoan Knowler, William C. Krakoff, Jonathan Hanson, Robert L. Bogardus, Clifton Baier, Leslie J. A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title | A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title_full | A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title_fullStr | A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title_full_unstemmed | A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title_short | A Genome-Wide Association Study Using a Custom Genotyping Array Identifies Variants in GPR158 Associated With Reduced Energy Expenditure in American Indians |
title_sort | genome-wide association study using a custom genotyping array identifies variants in gpr158 associated with reduced energy expenditure in american indians |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521859/ https://www.ncbi.nlm.nih.gov/pubmed/28476931 http://dx.doi.org/10.2337/db16-1565 |
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