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Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases

Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of geneti...

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Autores principales: He, Liang, Kernogitski, Yelena, Kulminskaya, Irina, Loika, Yury, Arbeev, Konstantin G., Loiko, Elena, Bagley, Olivia, Duan, Matt, Yashkin, Arseniy, Ukraintseva, Svetlana V., Kovtun, Mikhail, Yashin, Anatoliy I., Kulminski, Alexander M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061751/
https://www.ncbi.nlm.nih.gov/pubmed/27790247
http://dx.doi.org/10.3389/fgene.2016.00179
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author He, Liang
Kernogitski, Yelena
Kulminskaya, Irina
Loika, Yury
Arbeev, Konstantin G.
Loiko, Elena
Bagley, Olivia
Duan, Matt
Yashkin, Arseniy
Ukraintseva, Svetlana V.
Kovtun, Mikhail
Yashin, Anatoliy I.
Kulminski, Alexander M.
author_facet He, Liang
Kernogitski, Yelena
Kulminskaya, Irina
Loika, Yury
Arbeev, Konstantin G.
Loiko, Elena
Bagley, Olivia
Duan, Matt
Yashkin, Arseniy
Ukraintseva, Svetlana V.
Kovtun, Mikhail
Yashin, Anatoliy I.
Kulminski, Alexander M.
author_sort He, Liang
collection PubMed
description Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of genetic variants with pleiotropic effects on both common complex diseases and endophenotypes may reveal potential conflicting evolutionary pressures and deliver new insights into shared genetic contribution to healthspan and lifespan. Here, we performed pleiotropic meta-analyses of genetic variants using five NIH-funded datasets by integrating univariate summary statistics for age-related diseases and endophenotypes. We investigated three groups of traits: (1) endophenotypes such as blood glucose, blood pressure, lipids, hematocrit, and body mass index, (2) time-to-event outcomes such as the age-at-onset of diabetes mellitus (DM), cancer, cardiovascular diseases (CVDs) and neurodegenerative diseases (NDs), and (3) both combined. In addition to replicating previous findings, we identify seven novel genome-wide significant loci (< 5e-08), out of which five are low-frequency variants. Specifically, from Group 2, we find rs7632505 on 3q21.1 in SEMA5B, rs460976 on 21q22.3 (1 kb from TMPRSS2) and rs12420422 on 11q24.1 predominantly associated with a variety of CVDs, rs4905014 in ITPK1 associated with stroke and heart failure, rs7081476 on 10p12.1 in ANKRD26 associated with multiple diseases including DM, CVDs, and NDs. From Group 3, we find rs8082812 on 18p11.22 and rs1869717 on 4q31.3 associated with both endophenotypes and CVDs. Our follow-up analyses show that rs7632505, rs4905014, and rs8082812 have age-dependent effects on coronary heart disease or stroke. Functional annotation suggests that most of these SNPs are within regulatory regions or DNase clusters and in linkage disequilibrium with expression quantitative trait loci, implying their potential regulatory influence on the expression of nearby genes. Our mediation analyses suggest that the effects of some SNPs are mediated by specific endophenotypes. In conclusion, these findings indicate that loci with pleiotropic effects on age-related disorders tend to be enriched in genes involved in underlying mechanisms potentially related to nervous, cardiovascular and immune system functions, stress resistance, inflammation, ion channels and hematopoiesis, supporting the hypothesis of shared pathological role of infection, and inflammation in chronic age-related diseases.
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spelling pubmed-50617512016-10-27 Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases He, Liang Kernogitski, Yelena Kulminskaya, Irina Loika, Yury Arbeev, Konstantin G. Loiko, Elena Bagley, Olivia Duan, Matt Yashkin, Arseniy Ukraintseva, Svetlana V. Kovtun, Mikhail Yashin, Anatoliy I. Kulminski, Alexander M. Front Genet Genetics Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of genetic variants with pleiotropic effects on both common complex diseases and endophenotypes may reveal potential conflicting evolutionary pressures and deliver new insights into shared genetic contribution to healthspan and lifespan. Here, we performed pleiotropic meta-analyses of genetic variants using five NIH-funded datasets by integrating univariate summary statistics for age-related diseases and endophenotypes. We investigated three groups of traits: (1) endophenotypes such as blood glucose, blood pressure, lipids, hematocrit, and body mass index, (2) time-to-event outcomes such as the age-at-onset of diabetes mellitus (DM), cancer, cardiovascular diseases (CVDs) and neurodegenerative diseases (NDs), and (3) both combined. In addition to replicating previous findings, we identify seven novel genome-wide significant loci (< 5e-08), out of which five are low-frequency variants. Specifically, from Group 2, we find rs7632505 on 3q21.1 in SEMA5B, rs460976 on 21q22.3 (1 kb from TMPRSS2) and rs12420422 on 11q24.1 predominantly associated with a variety of CVDs, rs4905014 in ITPK1 associated with stroke and heart failure, rs7081476 on 10p12.1 in ANKRD26 associated with multiple diseases including DM, CVDs, and NDs. From Group 3, we find rs8082812 on 18p11.22 and rs1869717 on 4q31.3 associated with both endophenotypes and CVDs. Our follow-up analyses show that rs7632505, rs4905014, and rs8082812 have age-dependent effects on coronary heart disease or stroke. Functional annotation suggests that most of these SNPs are within regulatory regions or DNase clusters and in linkage disequilibrium with expression quantitative trait loci, implying their potential regulatory influence on the expression of nearby genes. Our mediation analyses suggest that the effects of some SNPs are mediated by specific endophenotypes. In conclusion, these findings indicate that loci with pleiotropic effects on age-related disorders tend to be enriched in genes involved in underlying mechanisms potentially related to nervous, cardiovascular and immune system functions, stress resistance, inflammation, ion channels and hematopoiesis, supporting the hypothesis of shared pathological role of infection, and inflammation in chronic age-related diseases. Frontiers Media S.A. 2016-10-13 /pmc/articles/PMC5061751/ /pubmed/27790247 http://dx.doi.org/10.3389/fgene.2016.00179 Text en Copyright © 2016 He, Kernogitski, Kulminskaya, Loika, Arbeev, Loiko, Bagley, Duan, Yashkin, Ukraintseva, Kovtun, Yashin and Kulminski. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
He, Liang
Kernogitski, Yelena
Kulminskaya, Irina
Loika, Yury
Arbeev, Konstantin G.
Loiko, Elena
Bagley, Olivia
Duan, Matt
Yashkin, Arseniy
Ukraintseva, Svetlana V.
Kovtun, Mikhail
Yashin, Anatoliy I.
Kulminski, Alexander M.
Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title_full Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title_fullStr Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title_full_unstemmed Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title_short Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases
title_sort pleiotropic meta-analyses of longitudinal studies discover novel genetic variants associated with age-related diseases
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061751/
https://www.ncbi.nlm.nih.gov/pubmed/27790247
http://dx.doi.org/10.3389/fgene.2016.00179
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