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Polygenic risk for coronary artery disease in the Scottish and English population
BACKGROUND: Epidemiological studies have repeatedly observed a markedly higher risk for coronary artery disease (CAD) in Scotland as compared to England. Up to now, it is unclear whether environmental or genetic factors might explain this phenomenon. METHODS: Using UK Biobank (UKB) data, we assessed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650538/ https://www.ncbi.nlm.nih.gov/pubmed/34876023 http://dx.doi.org/10.1186/s12872-021-02398-4 |
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author | Yang, Chuhua Starnecker, Fabian Pang, Shichao Chen, Zhifen Güldener, Ulrich Li, Ling Heinig, Matthias Schunkert, Heribert |
author_facet | Yang, Chuhua Starnecker, Fabian Pang, Shichao Chen, Zhifen Güldener, Ulrich Li, Ling Heinig, Matthias Schunkert, Heribert |
author_sort | Yang, Chuhua |
collection | PubMed |
description | BACKGROUND: Epidemiological studies have repeatedly observed a markedly higher risk for coronary artery disease (CAD) in Scotland as compared to England. Up to now, it is unclear whether environmental or genetic factors might explain this phenomenon. METHODS: Using UK Biobank (UKB) data, we assessed CAD risk, based on the Framingham risk score (FRS) and common genetic variants, to explore the respective contribution to CAD prevalence in Scotland (n = 31,963) and England (n = 317,889). We calculated FRS based on sex, age, body mass index (BMI), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), antihypertensive medication, smoking status, and diabetes. We determined the allele frequency of published genome-wide significant risk CAD alleles and a weighted genetic risk score (wGRS) for quantifying genetic CAD risk. RESULTS: Prevalence of CAD was 16% higher in Scotland as compared to England (8.98% vs. 7.68%, P < 0.001). However, the FRS only predicted a marginally higher CAD risk (less than 1%) in Scotland (12.5 ± 10.5 vs.12.6 ± 10.6, P = 0.03). Likewise, the overall number of genome-wide significant variants affecting CAD risk (157.6 ± 7.7 and 157.5 ± 7.7; P = 0.12) and a wGRS for CAD (2.49 ± 0.25 in both populations, P = 0.14) were remarkably similar in the English and Scottish population. Interestingly, we observed substantial differences in the allele frequencies of individual risk variants. Of the previously described 163 genome-wide significant variants studied here, 35 variants had higher frequencies in Scotland, whereas 37 had higher frequencies in England (P < 0.001 each). CONCLUSIONS: Neither the traditional risk factors included in the FRS nor a genetic risk score (GRS) based on established common risk alleles explained the higher CAD prevalence in Scotland. However, we observed marked differences in the distribution of individual risk alleles, which emphasizes that even geographically and ethnically closely related populations may display relevant differences in the genetic architecture of a common disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-021-02398-4. |
format | Online Article Text |
id | pubmed-8650538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86505382021-12-07 Polygenic risk for coronary artery disease in the Scottish and English population Yang, Chuhua Starnecker, Fabian Pang, Shichao Chen, Zhifen Güldener, Ulrich Li, Ling Heinig, Matthias Schunkert, Heribert BMC Cardiovasc Disord Research BACKGROUND: Epidemiological studies have repeatedly observed a markedly higher risk for coronary artery disease (CAD) in Scotland as compared to England. Up to now, it is unclear whether environmental or genetic factors might explain this phenomenon. METHODS: Using UK Biobank (UKB) data, we assessed CAD risk, based on the Framingham risk score (FRS) and common genetic variants, to explore the respective contribution to CAD prevalence in Scotland (n = 31,963) and England (n = 317,889). We calculated FRS based on sex, age, body mass index (BMI), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), antihypertensive medication, smoking status, and diabetes. We determined the allele frequency of published genome-wide significant risk CAD alleles and a weighted genetic risk score (wGRS) for quantifying genetic CAD risk. RESULTS: Prevalence of CAD was 16% higher in Scotland as compared to England (8.98% vs. 7.68%, P < 0.001). However, the FRS only predicted a marginally higher CAD risk (less than 1%) in Scotland (12.5 ± 10.5 vs.12.6 ± 10.6, P = 0.03). Likewise, the overall number of genome-wide significant variants affecting CAD risk (157.6 ± 7.7 and 157.5 ± 7.7; P = 0.12) and a wGRS for CAD (2.49 ± 0.25 in both populations, P = 0.14) were remarkably similar in the English and Scottish population. Interestingly, we observed substantial differences in the allele frequencies of individual risk variants. Of the previously described 163 genome-wide significant variants studied here, 35 variants had higher frequencies in Scotland, whereas 37 had higher frequencies in England (P < 0.001 each). CONCLUSIONS: Neither the traditional risk factors included in the FRS nor a genetic risk score (GRS) based on established common risk alleles explained the higher CAD prevalence in Scotland. However, we observed marked differences in the distribution of individual risk alleles, which emphasizes that even geographically and ethnically closely related populations may display relevant differences in the genetic architecture of a common disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-021-02398-4. BioMed Central 2021-12-07 /pmc/articles/PMC8650538/ /pubmed/34876023 http://dx.doi.org/10.1186/s12872-021-02398-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yang, Chuhua Starnecker, Fabian Pang, Shichao Chen, Zhifen Güldener, Ulrich Li, Ling Heinig, Matthias Schunkert, Heribert Polygenic risk for coronary artery disease in the Scottish and English population |
title | Polygenic risk for coronary artery disease in the Scottish and English population |
title_full | Polygenic risk for coronary artery disease in the Scottish and English population |
title_fullStr | Polygenic risk for coronary artery disease in the Scottish and English population |
title_full_unstemmed | Polygenic risk for coronary artery disease in the Scottish and English population |
title_short | Polygenic risk for coronary artery disease in the Scottish and English population |
title_sort | polygenic risk for coronary artery disease in the scottish and english population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650538/ https://www.ncbi.nlm.nih.gov/pubmed/34876023 http://dx.doi.org/10.1186/s12872-021-02398-4 |
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