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Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality

BACKGROUND: The muscle glycogen synthase gene (GYS1) has been associated with type 2 diabetes (T2D), the metabolic syndrome (MetS), male myocardial infarction and a defective increase in muscle glycogen synthase protein in response to exercise. We addressed the questions whether polymorphism in GYS1...

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Autores principales: Fredriksson, Jenny, Anevski, Dragi, Almgren, Peter, Sjögren, Marketa, Lyssenko, Valeriya, Carlson, Joyce, Isomaa, Bo, Taskinen, Marja-Riitta, Groop, Leif, Orho-Melander, Marju
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1805686/
https://www.ncbi.nlm.nih.gov/pubmed/17356695
http://dx.doi.org/10.1371/journal.pone.0000285
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author Fredriksson, Jenny
Anevski, Dragi
Almgren, Peter
Sjögren, Marketa
Lyssenko, Valeriya
Carlson, Joyce
Isomaa, Bo
Taskinen, Marja-Riitta
Groop, Leif
Orho-Melander, Marju
author_facet Fredriksson, Jenny
Anevski, Dragi
Almgren, Peter
Sjögren, Marketa
Lyssenko, Valeriya
Carlson, Joyce
Isomaa, Bo
Taskinen, Marja-Riitta
Groop, Leif
Orho-Melander, Marju
author_sort Fredriksson, Jenny
collection PubMed
description BACKGROUND: The muscle glycogen synthase gene (GYS1) has been associated with type 2 diabetes (T2D), the metabolic syndrome (MetS), male myocardial infarction and a defective increase in muscle glycogen synthase protein in response to exercise. We addressed the questions whether polymorphism in GYS1 can predict cardiovascular (CV) mortality in a high-risk population, if this risk is influenced by gender or physical activity, and if the association is independent of genetic variation in nearby apolipoprotein E gene (APOE). METHODOLOGY/PRINCIPAL FINDINGS: Polymorphisms in GYS1 (XbaIC>T) and APOE (-219G>T, ε2/ε3/ε4) were genotyped in 4,654 subjects participating in the Botnia T2D-family study and followed for a median of eight years. Mortality analyses were performed using Cox proportional-hazards regression. During the follow-up period, 749 individuals died, 409 due to CV causes. In males the GYS1 XbaI T-allele (hazard ratio (HR) 1.9 [1.2–2.9]), T2D (2.5 [1.7–3.8]), earlier CV events (1.7 [1.2–2.5]), physical inactivity (1.9 [1.2–2.9]) and smoking (1.5 [1.0–2.3]) predicted CV mortality. The GYS1 XbaI T-allele predicted CV mortality particularly in physically active males (HR 1.7 [1.3–2.0]). Association of GYS1 with CV mortality was independent of APOE (219TT/ε4), which by its own exerted an effect on CV mortality risk in females (2.9 [1.9–4.4]). Other independent predictors of CV mortality in females were fasting plasma glucose (1.2 [1.1–1.2]), high body mass index (BMI) (1.0 [1.0–1.1]), hypertension (1.9 [1.2–3.1]), earlier CV events (1.9 [1.3–2.8]) and physical inactivity (1.9 [1.2–2.8]). CONCLUSIONS/SIGNIFICANCE: Polymorphisms in GYS1 and APOE predict CV mortality in T2D families in a gender-specific fashion and independently of each other. Physical exercise seems to unmask the effect associated with the GYS1 polymorphism, rendering carriers of the variant allele less susceptible to the protective effect of exercise on the risk of CV death, which finding could be compatible with a previous demonstration of defective increase in the glycogen synthase protein in carriers of this polymorphism.
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spelling pubmed-18056862007-03-14 Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality Fredriksson, Jenny Anevski, Dragi Almgren, Peter Sjögren, Marketa Lyssenko, Valeriya Carlson, Joyce Isomaa, Bo Taskinen, Marja-Riitta Groop, Leif Orho-Melander, Marju PLoS One Research Article BACKGROUND: The muscle glycogen synthase gene (GYS1) has been associated with type 2 diabetes (T2D), the metabolic syndrome (MetS), male myocardial infarction and a defective increase in muscle glycogen synthase protein in response to exercise. We addressed the questions whether polymorphism in GYS1 can predict cardiovascular (CV) mortality in a high-risk population, if this risk is influenced by gender or physical activity, and if the association is independent of genetic variation in nearby apolipoprotein E gene (APOE). METHODOLOGY/PRINCIPAL FINDINGS: Polymorphisms in GYS1 (XbaIC>T) and APOE (-219G>T, ε2/ε3/ε4) were genotyped in 4,654 subjects participating in the Botnia T2D-family study and followed for a median of eight years. Mortality analyses were performed using Cox proportional-hazards regression. During the follow-up period, 749 individuals died, 409 due to CV causes. In males the GYS1 XbaI T-allele (hazard ratio (HR) 1.9 [1.2–2.9]), T2D (2.5 [1.7–3.8]), earlier CV events (1.7 [1.2–2.5]), physical inactivity (1.9 [1.2–2.9]) and smoking (1.5 [1.0–2.3]) predicted CV mortality. The GYS1 XbaI T-allele predicted CV mortality particularly in physically active males (HR 1.7 [1.3–2.0]). Association of GYS1 with CV mortality was independent of APOE (219TT/ε4), which by its own exerted an effect on CV mortality risk in females (2.9 [1.9–4.4]). Other independent predictors of CV mortality in females were fasting plasma glucose (1.2 [1.1–1.2]), high body mass index (BMI) (1.0 [1.0–1.1]), hypertension (1.9 [1.2–3.1]), earlier CV events (1.9 [1.3–2.8]) and physical inactivity (1.9 [1.2–2.8]). CONCLUSIONS/SIGNIFICANCE: Polymorphisms in GYS1 and APOE predict CV mortality in T2D families in a gender-specific fashion and independently of each other. Physical exercise seems to unmask the effect associated with the GYS1 polymorphism, rendering carriers of the variant allele less susceptible to the protective effect of exercise on the risk of CV death, which finding could be compatible with a previous demonstration of defective increase in the glycogen synthase protein in carriers of this polymorphism. Public Library of Science 2007-03-14 /pmc/articles/PMC1805686/ /pubmed/17356695 http://dx.doi.org/10.1371/journal.pone.0000285 Text en Fredriksson 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Fredriksson, Jenny
Anevski, Dragi
Almgren, Peter
Sjögren, Marketa
Lyssenko, Valeriya
Carlson, Joyce
Isomaa, Bo
Taskinen, Marja-Riitta
Groop, Leif
Orho-Melander, Marju
Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title_full Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title_fullStr Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title_full_unstemmed Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title_short Variation in GYS1 Interacts with Exercise and Gender to Predict Cardiovascular Mortality
title_sort variation in gys1 interacts with exercise and gender to predict cardiovascular mortality
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1805686/
https://www.ncbi.nlm.nih.gov/pubmed/17356695
http://dx.doi.org/10.1371/journal.pone.0000285
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