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Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol
Recent evidence suggests that lifestyle factors influence the association between the Melanocortin 4 receptor (MC4R) and Transcription Factor 7-Like 2 (TCF7L2) gene variants and cardio-metabolic traits in several populations; however, the available research is limited among the Asian Indian populati...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705148/ https://www.ncbi.nlm.nih.gov/pubmed/29182660 http://dx.doi.org/10.1371/journal.pone.0188382 |
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author | Bodhini, Dhanasekaran Gaal, Szilvia Shatwan, Israa Ramya, Kandaswamy Ellahi, Basma Surendran, Shelini Sudha, Vasudevan Anjana, Mohan R. Mohan, Viswanathan Lovegrove, Julie A. Radha, Venkatesan Vimaleswaran, Karani Santhanakrishnan |
author_facet | Bodhini, Dhanasekaran Gaal, Szilvia Shatwan, Israa Ramya, Kandaswamy Ellahi, Basma Surendran, Shelini Sudha, Vasudevan Anjana, Mohan R. Mohan, Viswanathan Lovegrove, Julie A. Radha, Venkatesan Vimaleswaran, Karani Santhanakrishnan |
author_sort | Bodhini, Dhanasekaran |
collection | PubMed |
description | Recent evidence suggests that lifestyle factors influence the association between the Melanocortin 4 receptor (MC4R) and Transcription Factor 7-Like 2 (TCF7L2) gene variants and cardio-metabolic traits in several populations; however, the available research is limited among the Asian Indian population. Hence, the present study examined whether the association between the MC4R single nucleotide polymorphism (SNP) (rs17782313) and two SNPs of the TCF7L2 gene (rs12255372 and rs7903146) and cardio-metabolic traits is modified by dietary factors and physical activity. This cross sectional study included a random sample of normal glucose tolerant (NGT) (n = 821) and participants with type 2 diabetes (T2D) (n = 861) recruited from the urban part of the Chennai Urban Rural Epidemiology Study (CURES). A validated food frequency questionnaire (FFQ) was used for dietary assessment and self-reported physical activity measures were collected. The threshold for significance was set at P = 0.00023 based on Bonferroni correction for multiple testing [(0.05/210 (3 SNPs x 14 outcomes x 5 lifestyle factors)]. After Bonferroni correction, there was a significant interaction between the TCF7L2 rs12255372 SNP and fat intake (g/day) (P(interaction) = 0.0001) on high-density lipoprotein cholesterol (HDL-C), where the ‘T’ allele carriers in the lowest tertile of total fat intake had higher HDL-C (P = 0.008) and those in the highest tertile (P = 0.017) had lower HDL-C compared to the GG homozygotes. In a secondary analysis of SNPs with the subtypes of fat, there was also a significant interaction between the SNP rs12255372 and polyunsaturated fatty acids (PUFA, g/day) (P(interaction)<0.0001) on HDL-C, where the minor allele carriers had higher HDL-C in the lowest PUFA tertile (P = 0.024) and those in the highest PUFA tertile had lower HDL-C (P = 0.028) than GG homozygotes. In addition, a significant interaction was also seen between TCF7L2 SNP rs12255372 and fibre intake (g/day) on HDL-C (P(interaction)<0.0001). None of the other interactions between the SNPs and lifestyle factors were statistically significant after correction for multiple testing. Our findings indicate that the association between TCF7L2 SNP rs12255372 and HDL-C may be modified by dietary fat intake in this Asian Indian population. |
format | Online Article Text |
id | pubmed-5705148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57051482017-12-08 Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol Bodhini, Dhanasekaran Gaal, Szilvia Shatwan, Israa Ramya, Kandaswamy Ellahi, Basma Surendran, Shelini Sudha, Vasudevan Anjana, Mohan R. Mohan, Viswanathan Lovegrove, Julie A. Radha, Venkatesan Vimaleswaran, Karani Santhanakrishnan PLoS One Research Article Recent evidence suggests that lifestyle factors influence the association between the Melanocortin 4 receptor (MC4R) and Transcription Factor 7-Like 2 (TCF7L2) gene variants and cardio-metabolic traits in several populations; however, the available research is limited among the Asian Indian population. Hence, the present study examined whether the association between the MC4R single nucleotide polymorphism (SNP) (rs17782313) and two SNPs of the TCF7L2 gene (rs12255372 and rs7903146) and cardio-metabolic traits is modified by dietary factors and physical activity. This cross sectional study included a random sample of normal glucose tolerant (NGT) (n = 821) and participants with type 2 diabetes (T2D) (n = 861) recruited from the urban part of the Chennai Urban Rural Epidemiology Study (CURES). A validated food frequency questionnaire (FFQ) was used for dietary assessment and self-reported physical activity measures were collected. The threshold for significance was set at P = 0.00023 based on Bonferroni correction for multiple testing [(0.05/210 (3 SNPs x 14 outcomes x 5 lifestyle factors)]. After Bonferroni correction, there was a significant interaction between the TCF7L2 rs12255372 SNP and fat intake (g/day) (P(interaction) = 0.0001) on high-density lipoprotein cholesterol (HDL-C), where the ‘T’ allele carriers in the lowest tertile of total fat intake had higher HDL-C (P = 0.008) and those in the highest tertile (P = 0.017) had lower HDL-C compared to the GG homozygotes. In a secondary analysis of SNPs with the subtypes of fat, there was also a significant interaction between the SNP rs12255372 and polyunsaturated fatty acids (PUFA, g/day) (P(interaction)<0.0001) on HDL-C, where the minor allele carriers had higher HDL-C in the lowest PUFA tertile (P = 0.024) and those in the highest PUFA tertile had lower HDL-C (P = 0.028) than GG homozygotes. In addition, a significant interaction was also seen between TCF7L2 SNP rs12255372 and fibre intake (g/day) on HDL-C (P(interaction)<0.0001). None of the other interactions between the SNPs and lifestyle factors were statistically significant after correction for multiple testing. Our findings indicate that the association between TCF7L2 SNP rs12255372 and HDL-C may be modified by dietary fat intake in this Asian Indian population. Public Library of Science 2017-11-28 /pmc/articles/PMC5705148/ /pubmed/29182660 http://dx.doi.org/10.1371/journal.pone.0188382 Text en © 2017 Bodhini et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bodhini, Dhanasekaran Gaal, Szilvia Shatwan, Israa Ramya, Kandaswamy Ellahi, Basma Surendran, Shelini Sudha, Vasudevan Anjana, Mohan R. Mohan, Viswanathan Lovegrove, Julie A. Radha, Venkatesan Vimaleswaran, Karani Santhanakrishnan Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title | Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title_full | Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title_fullStr | Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title_full_unstemmed | Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title_short | Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
title_sort | interaction between tcf7l2 polymorphism and dietary fat intake on high density lipoprotein cholesterol |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705148/ https://www.ncbi.nlm.nih.gov/pubmed/29182660 http://dx.doi.org/10.1371/journal.pone.0188382 |
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