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Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches

Childhood obesity remains one of the most important issues in global health, which is implicated in many chronic diseases. Converging evidence suggests that a higher body mass index during childhood (CBMI) is significantly associated with increased coronary artery disease (CAD) susceptibility in adu...

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Autores principales: Wang, Lianke, Zhang, Qiang, Xu, Fei, Brickell, Anna, Zhou, Qianyu, Yang, Bin, Sun, Changqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663585/
https://www.ncbi.nlm.nih.gov/pubmed/36376549
http://dx.doi.org/10.1038/s41598-022-24009-8
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author Wang, Lianke
Zhang, Qiang
Xu, Fei
Brickell, Anna
Zhou, Qianyu
Yang, Bin
Sun, Changqing
author_facet Wang, Lianke
Zhang, Qiang
Xu, Fei
Brickell, Anna
Zhou, Qianyu
Yang, Bin
Sun, Changqing
author_sort Wang, Lianke
collection PubMed
description Childhood obesity remains one of the most important issues in global health, which is implicated in many chronic diseases. Converging evidence suggests that a higher body mass index during childhood (CBMI) is significantly associated with increased coronary artery disease (CAD) susceptibility in adulthood, which may partly arise from the shared genetic determination. Despite genome-wide association studies (GWASs) have successfully identified some loci associated with CBMI and CAD individually, the genetic overlap and common biological mechanism between them remains largely unexplored. Here, relying on the results from the two large-scale GWASs (n = 35,668 for CBMI and n = 547,261 for CAD), linkage disequilibrium score regression (LDSC) was used to estimate the genetic correlation of CBMI and CAD in the first step. Then, we applied different pleiotropy-informed methods including conditional false discovery rate ([Formula: see text] ) and genetic analysis incorporating pleiotropy and annotation (GPA) to detect potentially common loci for childhood obesity and CAD. By integrating the genetic information from the existing GWASs summary statistics, we found a significant positive genetic correlation ([Formula: see text]  = 0.127, p = 2E−4) and strong pleiotropic enrichment between CBMI and CAD (LRT = 79.352, p = 5.2E−19). Importantly, 28 loci were simultaneously discovered to be associated with CBMI, and 13 of them were identified as potentially pleiotropic loci by [Formula: see text] and GPA. Those corresponding pleiotropic genes were enriched in trait-associated gene ontology (GO) terms “amino sugar catabolic process”, “regulation of fat cell differentiation” and “synaptic transmission”. Overall, the findings of the pleiotropic loci will help to further elucidate the common molecular mechanisms underlying the association of childhood obesity and CAD, and provide a theoretical direction for early disease prevention and potential therapeutic targets.
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spelling pubmed-96635852022-11-15 Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches Wang, Lianke Zhang, Qiang Xu, Fei Brickell, Anna Zhou, Qianyu Yang, Bin Sun, Changqing Sci Rep Article Childhood obesity remains one of the most important issues in global health, which is implicated in many chronic diseases. Converging evidence suggests that a higher body mass index during childhood (CBMI) is significantly associated with increased coronary artery disease (CAD) susceptibility in adulthood, which may partly arise from the shared genetic determination. Despite genome-wide association studies (GWASs) have successfully identified some loci associated with CBMI and CAD individually, the genetic overlap and common biological mechanism between them remains largely unexplored. Here, relying on the results from the two large-scale GWASs (n = 35,668 for CBMI and n = 547,261 for CAD), linkage disequilibrium score regression (LDSC) was used to estimate the genetic correlation of CBMI and CAD in the first step. Then, we applied different pleiotropy-informed methods including conditional false discovery rate ([Formula: see text] ) and genetic analysis incorporating pleiotropy and annotation (GPA) to detect potentially common loci for childhood obesity and CAD. By integrating the genetic information from the existing GWASs summary statistics, we found a significant positive genetic correlation ([Formula: see text]  = 0.127, p = 2E−4) and strong pleiotropic enrichment between CBMI and CAD (LRT = 79.352, p = 5.2E−19). Importantly, 28 loci were simultaneously discovered to be associated with CBMI, and 13 of them were identified as potentially pleiotropic loci by [Formula: see text] and GPA. Those corresponding pleiotropic genes were enriched in trait-associated gene ontology (GO) terms “amino sugar catabolic process”, “regulation of fat cell differentiation” and “synaptic transmission”. Overall, the findings of the pleiotropic loci will help to further elucidate the common molecular mechanisms underlying the association of childhood obesity and CAD, and provide a theoretical direction for early disease prevention and potential therapeutic targets. Nature Publishing Group UK 2022-11-14 /pmc/articles/PMC9663585/ /pubmed/36376549 http://dx.doi.org/10.1038/s41598-022-24009-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Wang, Lianke
Zhang, Qiang
Xu, Fei
Brickell, Anna
Zhou, Qianyu
Yang, Bin
Sun, Changqing
Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title_full Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title_fullStr Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title_full_unstemmed Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title_short Identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
title_sort identification of potentially common loci between childhood obesity and coronary artery disease using pleiotropic approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663585/
https://www.ncbi.nlm.nih.gov/pubmed/36376549
http://dx.doi.org/10.1038/s41598-022-24009-8
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