Cargando…

Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants

AIM: To assess the individual and combined effect of 46 type 2 diabetes related risk alleles on incidence of a composite CVD endpoint. METHODS: Data from the first Danish MONICA study (N = 3523) and the Inter99 study (N = 6049) was used. Using Cox proportional hazard regression the individual effect...

Descripción completa

Detalles Bibliográficos
Autores principales: Borglykke, Anders, Grarup, Niels, Sparsø, Thomas, Linneberg, Allan, Fenger, Mogens, Jeppesen, Jørgen, Hansen, Torben, Pedersen, Oluf, Jørgensen, Torben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503928/
https://www.ncbi.nlm.nih.gov/pubmed/23185617
http://dx.doi.org/10.1371/journal.pone.0050418
_version_ 1782250534414057472
author Borglykke, Anders
Grarup, Niels
Sparsø, Thomas
Linneberg, Allan
Fenger, Mogens
Jeppesen, Jørgen
Hansen, Torben
Pedersen, Oluf
Jørgensen, Torben
author_facet Borglykke, Anders
Grarup, Niels
Sparsø, Thomas
Linneberg, Allan
Fenger, Mogens
Jeppesen, Jørgen
Hansen, Torben
Pedersen, Oluf
Jørgensen, Torben
author_sort Borglykke, Anders
collection PubMed
description AIM: To assess the individual and combined effect of 46 type 2 diabetes related risk alleles on incidence of a composite CVD endpoint. METHODS: Data from the first Danish MONICA study (N = 3523) and the Inter99 study (N = 6049) was used. Using Cox proportional hazard regression the individual effect of each risk allele on incident CVD was analyzed. Risk was presented as hazard ratios (HR) per risk allele. RESULTS: During 80,859 person years 1441 incident cases of CVD (fatal and non-fatal) occurred in the MONICA study. In Inter99 942 incident cases were observed during 61,239 person years. In the Danish MONICA study four gene variants were significantly associated with incident CVD independently of known diabetes status at baseline; SLC2A2 rs11920090 (HR 1.147, 95% CI 1.027–1.283 , P = 0.0154), C2CD4A rs7172432 (1.112, 1.027–1.205 , P = 0.0089), GCKR rs780094 (1.094, 1.007–1.188 , P = 0.0335) and C2CD4B rs11071657 (1.092, 1.007–1.183 , P = 0.0323). The genetic score was significantly associated with increased risk of CVD (1.025, 1.010–1.041, P = 0.0016). In Inter99 two gene variants were associated with risk of CVD independently of diabetes; SLC2A2 (HR 1.180, 95% CI 1.038–1.341 P = 0.0116) and FTO (0.909, 0.827–0.998, P = 0.0463). Analysing the two populations together we found SLC2A2 rs11920090 (HR 1.164, 95% CI 1.070–1.267, P = 0.0004) meeting the Bonferroni corrected threshold for significance. GCKR rs780094 (1.076, 1.010–1.146, P = 0.0229), C2CD4B rs11071657 (1.067, 1.003–1.135, P = 0.0385) and NOTCH2 rs10923931 (1.104 (1.001 ; 1.217 , P = 0.0481) were found associated with CVD without meeting the corrected threshold. The genetic score was significantly associated with increased risk of CVD (1.018, 1.006–1.031, P = 0.0043). CONCLUSIONS: This study showed that out of the 46 genetic variants examined only the minor risk allele of SLC2A2 rs11920090 was significantly (P = 0.0005) associated with a composite endpoint of incident CVD below the threshold for statistical significance corrected for multiple testing. This potential pathway needs further exploration.
format Online
Article
Text
id pubmed-3503928
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-35039282012-11-26 Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants Borglykke, Anders Grarup, Niels Sparsø, Thomas Linneberg, Allan Fenger, Mogens Jeppesen, Jørgen Hansen, Torben Pedersen, Oluf Jørgensen, Torben PLoS One Research Article AIM: To assess the individual and combined effect of 46 type 2 diabetes related risk alleles on incidence of a composite CVD endpoint. METHODS: Data from the first Danish MONICA study (N = 3523) and the Inter99 study (N = 6049) was used. Using Cox proportional hazard regression the individual effect of each risk allele on incident CVD was analyzed. Risk was presented as hazard ratios (HR) per risk allele. RESULTS: During 80,859 person years 1441 incident cases of CVD (fatal and non-fatal) occurred in the MONICA study. In Inter99 942 incident cases were observed during 61,239 person years. In the Danish MONICA study four gene variants were significantly associated with incident CVD independently of known diabetes status at baseline; SLC2A2 rs11920090 (HR 1.147, 95% CI 1.027–1.283 , P = 0.0154), C2CD4A rs7172432 (1.112, 1.027–1.205 , P = 0.0089), GCKR rs780094 (1.094, 1.007–1.188 , P = 0.0335) and C2CD4B rs11071657 (1.092, 1.007–1.183 , P = 0.0323). The genetic score was significantly associated with increased risk of CVD (1.025, 1.010–1.041, P = 0.0016). In Inter99 two gene variants were associated with risk of CVD independently of diabetes; SLC2A2 (HR 1.180, 95% CI 1.038–1.341 P = 0.0116) and FTO (0.909, 0.827–0.998, P = 0.0463). Analysing the two populations together we found SLC2A2 rs11920090 (HR 1.164, 95% CI 1.070–1.267, P = 0.0004) meeting the Bonferroni corrected threshold for significance. GCKR rs780094 (1.076, 1.010–1.146, P = 0.0229), C2CD4B rs11071657 (1.067, 1.003–1.135, P = 0.0385) and NOTCH2 rs10923931 (1.104 (1.001 ; 1.217 , P = 0.0481) were found associated with CVD without meeting the corrected threshold. The genetic score was significantly associated with increased risk of CVD (1.018, 1.006–1.031, P = 0.0043). CONCLUSIONS: This study showed that out of the 46 genetic variants examined only the minor risk allele of SLC2A2 rs11920090 was significantly (P = 0.0005) associated with a composite endpoint of incident CVD below the threshold for statistical significance corrected for multiple testing. This potential pathway needs further exploration. Public Library of Science 2012-11-21 /pmc/articles/PMC3503928/ /pubmed/23185617 http://dx.doi.org/10.1371/journal.pone.0050418 Text en © 2012 Borglykke 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
Borglykke, Anders
Grarup, Niels
Sparsø, Thomas
Linneberg, Allan
Fenger, Mogens
Jeppesen, Jørgen
Hansen, Torben
Pedersen, Oluf
Jørgensen, Torben
Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title_full Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title_fullStr Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title_full_unstemmed Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title_short Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants
title_sort genetic variant scl2a2 is associated with risk of cardiovascular disease – assessing the individual and cumulative effect of 46 type 2 diabetes related genetic variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503928/
https://www.ncbi.nlm.nih.gov/pubmed/23185617
http://dx.doi.org/10.1371/journal.pone.0050418
work_keys_str_mv AT borglykkeanders geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT grarupniels geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT sparsøthomas geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT linnebergallan geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT fengermogens geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT jeppesenjørgen geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT hansentorben geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT pedersenoluf geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants
AT jørgensentorben geneticvariantscl2a2isassociatedwithriskofcardiovasculardiseaseassessingtheindividualandcumulativeeffectof46type2diabetesrelatedgeneticvariants