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Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis

BACKGROUND: Metformin is a first-line oral agent used in the treatment of type 2 diabetes, but glycaemic response to this drug is highly variable. Understanding the genetic contribution to metformin response might increase the possibility of personalising metformin treatment. We aimed to establish t...

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Autores principales: Zhou, Kaixin, Donnelly, Louise, Yang, Jian, Li, Miaoxin, Deshmukh, Harshal, Van Zuydam, Natalie, Ahlqvist, Emma, Spencer, Chris C, Groop, Leif, Morris, Andrew D, Colhoun, Helen M, Sham, Pak C, McCarthy, Mark I, Palmer, Colin N A, Pearson, Ewan R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Lancet, Diabetes & Endocrinology 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038749/
https://www.ncbi.nlm.nih.gov/pubmed/24731673
http://dx.doi.org/10.1016/S2213-8587(14)70050-6
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author Zhou, Kaixin
Donnelly, Louise
Yang, Jian
Li, Miaoxin
Deshmukh, Harshal
Van Zuydam, Natalie
Ahlqvist, Emma
Spencer, Chris C
Groop, Leif
Morris, Andrew D
Colhoun, Helen M
Sham, Pak C
McCarthy, Mark I
Palmer, Colin N A
Pearson, Ewan R
author_facet Zhou, Kaixin
Donnelly, Louise
Yang, Jian
Li, Miaoxin
Deshmukh, Harshal
Van Zuydam, Natalie
Ahlqvist, Emma
Spencer, Chris C
Groop, Leif
Morris, Andrew D
Colhoun, Helen M
Sham, Pak C
McCarthy, Mark I
Palmer, Colin N A
Pearson, Ewan R
author_sort Zhou, Kaixin
collection PubMed
description BACKGROUND: Metformin is a first-line oral agent used in the treatment of type 2 diabetes, but glycaemic response to this drug is highly variable. Understanding the genetic contribution to metformin response might increase the possibility of personalising metformin treatment. We aimed to establish the heritability of glycaemic response to metformin using the genome-wide complex trait analysis (GCTA) method. METHODS: In this GCTA study, we obtained data about HbA(1c) concentrations before and during metformin treatment from patients in the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) study, which includes a cohort of patients with type 2 diabetes and is linked to comprehensive clinical databases and genome-wide association study data. We applied the GCTA method to estimate heritability for four definitions of glycaemic response to metformin: absolute reduction in HbA(1c); proportional reduction in HbA(1c); adjusted reduction in HbA(1c); and whether or not the target on-treatment HbA(1c) of less than 7% (53 mmol/mol) was achieved, with adjustment for baseline HbA(1c) and known clinical covariates. Chromosome-wise heritability estimation was used to obtain further information about the genetic architecture. FINDINGS: 5386 individuals were included in the final dataset, of whom 2085 had enough clinical data to define glycaemic response to metformin. The heritability of glycaemic response to metformin varied by response phenotype, with a heritability of 34% (95% CI 1–68; p=0·022) for the absolute reduction in HbA(1c), adjusted for pretreatment HbA(1c). Chromosome-wise heritability estimates suggest that the genetic contribution is probably from individual variants scattered across the genome, which each have a small to moderate effect, rather than from a few loci that each have a large effect. INTERPRETATION: Glycaemic response to metformin is heritable, thus glycaemic response to metformin is, in part, intrinsic to individual biological variation. Further genetic analysis might enable us to make better predictions for stratified medicine and to unravel new mechanisms of metformin action. FUNDING: Wellcome Trust.
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spelling pubmed-40387492014-05-30 Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis Zhou, Kaixin Donnelly, Louise Yang, Jian Li, Miaoxin Deshmukh, Harshal Van Zuydam, Natalie Ahlqvist, Emma Spencer, Chris C Groop, Leif Morris, Andrew D Colhoun, Helen M Sham, Pak C McCarthy, Mark I Palmer, Colin N A Pearson, Ewan R Lancet Diabetes Endocrinol Articles BACKGROUND: Metformin is a first-line oral agent used in the treatment of type 2 diabetes, but glycaemic response to this drug is highly variable. Understanding the genetic contribution to metformin response might increase the possibility of personalising metformin treatment. We aimed to establish the heritability of glycaemic response to metformin using the genome-wide complex trait analysis (GCTA) method. METHODS: In this GCTA study, we obtained data about HbA(1c) concentrations before and during metformin treatment from patients in the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) study, which includes a cohort of patients with type 2 diabetes and is linked to comprehensive clinical databases and genome-wide association study data. We applied the GCTA method to estimate heritability for four definitions of glycaemic response to metformin: absolute reduction in HbA(1c); proportional reduction in HbA(1c); adjusted reduction in HbA(1c); and whether or not the target on-treatment HbA(1c) of less than 7% (53 mmol/mol) was achieved, with adjustment for baseline HbA(1c) and known clinical covariates. Chromosome-wise heritability estimation was used to obtain further information about the genetic architecture. FINDINGS: 5386 individuals were included in the final dataset, of whom 2085 had enough clinical data to define glycaemic response to metformin. The heritability of glycaemic response to metformin varied by response phenotype, with a heritability of 34% (95% CI 1–68; p=0·022) for the absolute reduction in HbA(1c), adjusted for pretreatment HbA(1c). Chromosome-wise heritability estimates suggest that the genetic contribution is probably from individual variants scattered across the genome, which each have a small to moderate effect, rather than from a few loci that each have a large effect. INTERPRETATION: Glycaemic response to metformin is heritable, thus glycaemic response to metformin is, in part, intrinsic to individual biological variation. Further genetic analysis might enable us to make better predictions for stratified medicine and to unravel new mechanisms of metformin action. FUNDING: Wellcome Trust. The Lancet, Diabetes & Endocrinology 2014-05-29 /pmc/articles/PMC4038749/ /pubmed/24731673 http://dx.doi.org/10.1016/S2213-8587(14)70050-6 Text en © 2014 Elsevier Ltd. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Articles
Zhou, Kaixin
Donnelly, Louise
Yang, Jian
Li, Miaoxin
Deshmukh, Harshal
Van Zuydam, Natalie
Ahlqvist, Emma
Spencer, Chris C
Groop, Leif
Morris, Andrew D
Colhoun, Helen M
Sham, Pak C
McCarthy, Mark I
Palmer, Colin N A
Pearson, Ewan R
Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title_full Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title_fullStr Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title_full_unstemmed Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title_short Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
title_sort heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038749/
https://www.ncbi.nlm.nih.gov/pubmed/24731673
http://dx.doi.org/10.1016/S2213-8587(14)70050-6
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