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Progressive influence of body mass index-associated genetic markers in rural Gambians
BACKGROUND: In populations of European ancestry, the genetic contribution to body mass index (BMI) increases with age during childhood but then declines during adulthood, possibly due to the cumulative effects of environmental factors. How the effects of genetic factors on BMI change with age in oth...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453496/ https://www.ncbi.nlm.nih.gov/pubmed/25921383 http://dx.doi.org/10.1136/jmedgenet-2014-102784 |
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author | Fulford, Anthony J Ong, Ken K Elks, Cathy E Prentice, Andrew M Hennig, Branwen J |
author_facet | Fulford, Anthony J Ong, Ken K Elks, Cathy E Prentice, Andrew M Hennig, Branwen J |
author_sort | Fulford, Anthony J |
collection | PubMed |
description | BACKGROUND: In populations of European ancestry, the genetic contribution to body mass index (BMI) increases with age during childhood but then declines during adulthood, possibly due to the cumulative effects of environmental factors. How the effects of genetic factors on BMI change with age in other populations is unknown. SUBJECTS AND METHODS: In a rural Gambian population (N=2535), we used a combined allele risk score, comprising genotypes at 28 ‘Caucasian adult BMI-associated’ single nucleotide polymorphisms (SNPs), as a marker of the genetic influence on body composition, and related this to internally-standardised z-scores for birthweight (zBW), weight-for-height (zWT-HT), weight-for-age (zWT), height-for-age (zHT), and zBMI cross-sectionally and longitudinally. RESULTS: Cross-sectionally, the genetic score was positively associated with adult zWT (0.018±0.009 per allele, p=0.034, N=1426) and zWT-HT (0.025±0.009, p=0.006), but not with size at birth or childhood zWT-HT (0.008±0.005, p=0.11, N=2211). The effect of the genetic score on zWT-HT strengthened linearly with age from birth through to late adulthood (age interaction term: 0.0083 z-scores/allele/year; 95% CI 0.0048 to 0.0118, p=0.0000032). CONCLUSIONS: Genetic variants for obesity in populations of European ancestry have direct relevance to bodyweight in nutritionally deprived African settings. In such settings, genetic obesity susceptibility appears to regulate change in weight status throughout the life course, which provides insight into its potential physiological role. |
format | Online Article Text |
id | pubmed-4453496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44534962015-06-05 Progressive influence of body mass index-associated genetic markers in rural Gambians Fulford, Anthony J Ong, Ken K Elks, Cathy E Prentice, Andrew M Hennig, Branwen J J Med Genet Complex Traits BACKGROUND: In populations of European ancestry, the genetic contribution to body mass index (BMI) increases with age during childhood but then declines during adulthood, possibly due to the cumulative effects of environmental factors. How the effects of genetic factors on BMI change with age in other populations is unknown. SUBJECTS AND METHODS: In a rural Gambian population (N=2535), we used a combined allele risk score, comprising genotypes at 28 ‘Caucasian adult BMI-associated’ single nucleotide polymorphisms (SNPs), as a marker of the genetic influence on body composition, and related this to internally-standardised z-scores for birthweight (zBW), weight-for-height (zWT-HT), weight-for-age (zWT), height-for-age (zHT), and zBMI cross-sectionally and longitudinally. RESULTS: Cross-sectionally, the genetic score was positively associated with adult zWT (0.018±0.009 per allele, p=0.034, N=1426) and zWT-HT (0.025±0.009, p=0.006), but not with size at birth or childhood zWT-HT (0.008±0.005, p=0.11, N=2211). The effect of the genetic score on zWT-HT strengthened linearly with age from birth through to late adulthood (age interaction term: 0.0083 z-scores/allele/year; 95% CI 0.0048 to 0.0118, p=0.0000032). CONCLUSIONS: Genetic variants for obesity in populations of European ancestry have direct relevance to bodyweight in nutritionally deprived African settings. In such settings, genetic obesity susceptibility appears to regulate change in weight status throughout the life course, which provides insight into its potential physiological role. BMJ Publishing Group 2015-06 2015-04-28 /pmc/articles/PMC4453496/ /pubmed/25921383 http://dx.doi.org/10.1136/jmedgenet-2014-102784 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Complex Traits Fulford, Anthony J Ong, Ken K Elks, Cathy E Prentice, Andrew M Hennig, Branwen J Progressive influence of body mass index-associated genetic markers in rural Gambians |
title | Progressive influence of body mass index-associated genetic markers in rural Gambians |
title_full | Progressive influence of body mass index-associated genetic markers in rural Gambians |
title_fullStr | Progressive influence of body mass index-associated genetic markers in rural Gambians |
title_full_unstemmed | Progressive influence of body mass index-associated genetic markers in rural Gambians |
title_short | Progressive influence of body mass index-associated genetic markers in rural Gambians |
title_sort | progressive influence of body mass index-associated genetic markers in rural gambians |
topic | Complex Traits |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453496/ https://www.ncbi.nlm.nih.gov/pubmed/25921383 http://dx.doi.org/10.1136/jmedgenet-2014-102784 |
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