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A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes
BACKGROUND: Weight change is often seen in people with diabetes. We investigated the effects of genes associated with weight change/glucose handling/insulin-signalling. MATERIALS/METHODS: DNA from diabetes individuals and non-diabetes individuals, plus clinical data, were available from the DARE stu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431742/ https://www.ncbi.nlm.nih.gov/pubmed/37582184 http://dx.doi.org/10.1080/21623945.2023.2236757 |
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author | Heald, Adrian Qin, Rui Loureiro, Camila M. Williams, Richard Devaney Dopson, Chloe Gibson, J Martin Narayanan, Ram Prakash Fachim, Helene McCay, Kevin Ollier, William |
author_facet | Heald, Adrian Qin, Rui Loureiro, Camila M. Williams, Richard Devaney Dopson, Chloe Gibson, J Martin Narayanan, Ram Prakash Fachim, Helene McCay, Kevin Ollier, William |
author_sort | Heald, Adrian |
collection | PubMed |
description | BACKGROUND: Weight change is often seen in people with diabetes. We investigated the effects of genes associated with weight change/glucose handling/insulin-signalling. MATERIALS/METHODS: DNA from diabetes individuals and non-diabetes individuals, plus clinical data, were available from the DARE study (n = 379 individuals: T1D n = 111; T2D n = 222; controls n = 46). Weight gain was assessed by temporal change of Body Mass Index (BMI). Genotyping was performed for CAV1rs926198, LEPRrs1137101, BDNFrs6265 and FTOrs9939609. RESULTS: No differences in genotype distributions were observed for the four SNPs in all groups un-stratified by weight gain. Following stratification differences in genotype distribution were observed. For those BMI relatively stable; controls showed a difference in genotype distributions versus T1D (CAV1rs926198, LEPRrs1137101). In T2D vs controls, significant differences were observed in genotype distribution for all four genes. For BMI increase, the only difference by category was LEPRrs1137101 (bothT1D/T2D vs controls). In BMI-stable groups, CAV1rs926198, T1D individuals showed lower T allele frequency (p=0.004) vs non-diabetes and for LEPRrs1137101 a higher G allele frequency versus controls (p=0.002). For T2D, CAV1rs926198, T allele frequency was lower in T2D than controls (p=0.005). For LEPR rs1137101, the G allele frequency was higher than in controls (p=0.004). In those with BMI increase, LEPRrs1137101 T1D individuals had higher G allele frequency versus controls (p=0.002) as did T2D vs controls (p=0.03). CONCLUSION: Differences in allele frequency were seen between diabetes individuals and non-diabetes diagnosed at baseline in relation to the likelihood of BMI increase of >10%. It is established that the G allele of LEPRrs1137101 is associated with weight gain/obesity. However, this is the first report of CAV1rs926198 polymorphism being associated with weight stability/gain in diabetes. |
format | Online Article Text |
id | pubmed-10431742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-104317422023-08-17 A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes Heald, Adrian Qin, Rui Loureiro, Camila M. Williams, Richard Devaney Dopson, Chloe Gibson, J Martin Narayanan, Ram Prakash Fachim, Helene McCay, Kevin Ollier, William Adipocyte Research Paper BACKGROUND: Weight change is often seen in people with diabetes. We investigated the effects of genes associated with weight change/glucose handling/insulin-signalling. MATERIALS/METHODS: DNA from diabetes individuals and non-diabetes individuals, plus clinical data, were available from the DARE study (n = 379 individuals: T1D n = 111; T2D n = 222; controls n = 46). Weight gain was assessed by temporal change of Body Mass Index (BMI). Genotyping was performed for CAV1rs926198, LEPRrs1137101, BDNFrs6265 and FTOrs9939609. RESULTS: No differences in genotype distributions were observed for the four SNPs in all groups un-stratified by weight gain. Following stratification differences in genotype distribution were observed. For those BMI relatively stable; controls showed a difference in genotype distributions versus T1D (CAV1rs926198, LEPRrs1137101). In T2D vs controls, significant differences were observed in genotype distribution for all four genes. For BMI increase, the only difference by category was LEPRrs1137101 (bothT1D/T2D vs controls). In BMI-stable groups, CAV1rs926198, T1D individuals showed lower T allele frequency (p=0.004) vs non-diabetes and for LEPRrs1137101 a higher G allele frequency versus controls (p=0.002). For T2D, CAV1rs926198, T allele frequency was lower in T2D than controls (p=0.005). For LEPR rs1137101, the G allele frequency was higher than in controls (p=0.004). In those with BMI increase, LEPRrs1137101 T1D individuals had higher G allele frequency versus controls (p=0.002) as did T2D vs controls (p=0.03). CONCLUSION: Differences in allele frequency were seen between diabetes individuals and non-diabetes diagnosed at baseline in relation to the likelihood of BMI increase of >10%. It is established that the G allele of LEPRrs1137101 is associated with weight gain/obesity. However, this is the first report of CAV1rs926198 polymorphism being associated with weight stability/gain in diabetes. Taylor & Francis 2023-08-15 /pmc/articles/PMC10431742/ /pubmed/37582184 http://dx.doi.org/10.1080/21623945.2023.2236757 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Paper Heald, Adrian Qin, Rui Loureiro, Camila M. Williams, Richard Devaney Dopson, Chloe Gibson, J Martin Narayanan, Ram Prakash Fachim, Helene McCay, Kevin Ollier, William A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title | A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title_full | A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title_fullStr | A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title_full_unstemmed | A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title_short | A study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
title_sort | study to investigate genetic factors associated with weight gain in people with diabetes: analysis of polymorphisms in four relevant genes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431742/ https://www.ncbi.nlm.nih.gov/pubmed/37582184 http://dx.doi.org/10.1080/21623945.2023.2236757 |
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