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Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals
There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10(−15)) a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963337/ https://www.ncbi.nlm.nih.gov/pubmed/33657282 http://dx.doi.org/10.1111/acel.13323 |
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author | Liu, Xiaomin Song, Zijun Li, Yan Yao, Yao Fang, Mingyan Bai, Chen An, Peng Chen, Huashuai Chen, Zhihua Tang, Biyao Shen, Juan Gao, Xiaotong Zhang, Mingrong Chen, Pengyu Zhang, Tao Jia, Huijue Liu, Xiao Hou, Yong Yang, Huanming Wang, Jian Wang, Fudi Xu, Xun Min, Junxia Nie, Chao Zeng, Yi |
author_facet | Liu, Xiaomin Song, Zijun Li, Yan Yao, Yao Fang, Mingyan Bai, Chen An, Peng Chen, Huashuai Chen, Zhihua Tang, Biyao Shen, Juan Gao, Xiaotong Zhang, Mingrong Chen, Pengyu Zhang, Tao Jia, Huijue Liu, Xiao Hou, Yong Yang, Huanming Wang, Jian Wang, Fudi Xu, Xun Min, Junxia Nie, Chao Zeng, Yi |
author_sort | Liu, Xiaomin |
collection | PubMed |
description | There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10(−15)) and TMEM43/XPC (rs1043943; p = 3.59 × 10(−8)), were identified in a case–control analysis of 11,045 individuals. BRAF (rs1267601; p = 8.33 × 10(−15)) and BMPER (rs17169634; p = 1.45 × 10(−10)) were significantly associated with life expectancy in 12,664 individuals who had survival status records. Additional sex‐stratified analyses identified sex‐specific longevity genes. Notably, sex‐differential associations were identified in two linkage disequilibrium blocks in the TOMM40/APOE region, indicating potential differences during meiosis between males and females. Moreover, polygenic risk scores and Mendelian randomization analyses revealed that longevity was genetically causally correlated with reduced risks of multiple diseases, such as type 2 diabetes, cardiovascular diseases, and arthritis. Finally, we incorporated genetic markers, disease status, and lifestyles to classify longevity or not‐longevity groups and predict life span. Our predictive models showed good performance (AUC = 0.86 for longevity classification and explained 19.8% variance of life span) and presented a greater predictive efficiency in females than in males. Taken together, our findings not only shed light on the genetic contributions to longevity but also elucidate correlations between diseases and longevity. |
format | Online Article Text |
id | pubmed-7963337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79633372021-03-19 Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals Liu, Xiaomin Song, Zijun Li, Yan Yao, Yao Fang, Mingyan Bai, Chen An, Peng Chen, Huashuai Chen, Zhihua Tang, Biyao Shen, Juan Gao, Xiaotong Zhang, Mingrong Chen, Pengyu Zhang, Tao Jia, Huijue Liu, Xiao Hou, Yong Yang, Huanming Wang, Jian Wang, Fudi Xu, Xun Min, Junxia Nie, Chao Zeng, Yi Aging Cell Original Articles There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10(−15)) and TMEM43/XPC (rs1043943; p = 3.59 × 10(−8)), were identified in a case–control analysis of 11,045 individuals. BRAF (rs1267601; p = 8.33 × 10(−15)) and BMPER (rs17169634; p = 1.45 × 10(−10)) were significantly associated with life expectancy in 12,664 individuals who had survival status records. Additional sex‐stratified analyses identified sex‐specific longevity genes. Notably, sex‐differential associations were identified in two linkage disequilibrium blocks in the TOMM40/APOE region, indicating potential differences during meiosis between males and females. Moreover, polygenic risk scores and Mendelian randomization analyses revealed that longevity was genetically causally correlated with reduced risks of multiple diseases, such as type 2 diabetes, cardiovascular diseases, and arthritis. Finally, we incorporated genetic markers, disease status, and lifestyles to classify longevity or not‐longevity groups and predict life span. Our predictive models showed good performance (AUC = 0.86 for longevity classification and explained 19.8% variance of life span) and presented a greater predictive efficiency in females than in males. Taken together, our findings not only shed light on the genetic contributions to longevity but also elucidate correlations between diseases and longevity. John Wiley and Sons Inc. 2021-03-03 2021-03 /pmc/articles/PMC7963337/ /pubmed/33657282 http://dx.doi.org/10.1111/acel.13323 Text en © 2021 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Liu, Xiaomin Song, Zijun Li, Yan Yao, Yao Fang, Mingyan Bai, Chen An, Peng Chen, Huashuai Chen, Zhihua Tang, Biyao Shen, Juan Gao, Xiaotong Zhang, Mingrong Chen, Pengyu Zhang, Tao Jia, Huijue Liu, Xiao Hou, Yong Yang, Huanming Wang, Jian Wang, Fudi Xu, Xun Min, Junxia Nie, Chao Zeng, Yi Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title | Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title_full | Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title_fullStr | Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title_full_unstemmed | Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title_short | Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals |
title_sort | integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 chinese individuals |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963337/ https://www.ncbi.nlm.nih.gov/pubmed/33657282 http://dx.doi.org/10.1111/acel.13323 |
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