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A Prospective Analysis of Genetic Variants Associated with Human Lifespan
We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified snapshot of the unique AncestryDNA database – more than 300,000 genotyped individuals linked to pedigrees of over 400,000,000 people – we mapped six...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723124/ https://www.ncbi.nlm.nih.gov/pubmed/31484785 http://dx.doi.org/10.1534/g3.119.400448 |
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author | Wright, Kevin M. Rand, Kristin A. Kermany, Amir Noto, Keith Curtis, Don Garrigan, Daniel Slinkov, Dmitri Dorfman, Ilya Granka, Julie M. Byrnes, Jake Myres, Natalie Ball, Catherine A. Ruby, J. Graham |
author_facet | Wright, Kevin M. Rand, Kristin A. Kermany, Amir Noto, Keith Curtis, Don Garrigan, Daniel Slinkov, Dmitri Dorfman, Ilya Granka, Julie M. Byrnes, Jake Myres, Natalie Ball, Catherine A. Ruby, J. Graham |
author_sort | Wright, Kevin M. |
collection | PubMed |
description | We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified snapshot of the unique AncestryDNA database – more than 300,000 genotyped individuals linked to pedigrees of over 400,000,000 people – we mapped six genome-wide significant loci associated with parental lifespan. We compared these results to a GWA analysis of the traditional lifespan proxy trait, age, and found only one locus, APOE, to be associated with both age and lifespan. By combining the AncestryDNA results with those of an independent UK Biobank dataset, we conducted a meta-analysis of more than 650,000 individuals and identified fifteen parental lifespan-associated loci. Beyond just those significant loci, our genome-wide set of polymorphisms accounts for up to 8% of the variance in human lifespan; this value represents a large fraction of the heritability estimated from phenotypic correlations between relatives. |
format | Online Article Text |
id | pubmed-6723124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-67231242019-09-17 A Prospective Analysis of Genetic Variants Associated with Human Lifespan Wright, Kevin M. Rand, Kristin A. Kermany, Amir Noto, Keith Curtis, Don Garrigan, Daniel Slinkov, Dmitri Dorfman, Ilya Granka, Julie M. Byrnes, Jake Myres, Natalie Ball, Catherine A. Ruby, J. Graham G3 (Bethesda) Investigations We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified snapshot of the unique AncestryDNA database – more than 300,000 genotyped individuals linked to pedigrees of over 400,000,000 people – we mapped six genome-wide significant loci associated with parental lifespan. We compared these results to a GWA analysis of the traditional lifespan proxy trait, age, and found only one locus, APOE, to be associated with both age and lifespan. By combining the AncestryDNA results with those of an independent UK Biobank dataset, we conducted a meta-analysis of more than 650,000 individuals and identified fifteen parental lifespan-associated loci. Beyond just those significant loci, our genome-wide set of polymorphisms accounts for up to 8% of the variance in human lifespan; this value represents a large fraction of the heritability estimated from phenotypic correlations between relatives. Genetics Society of America 2019-08-26 /pmc/articles/PMC6723124/ /pubmed/31484785 http://dx.doi.org/10.1534/g3.119.400448 Text en Copyright © 2019 Wright et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Wright, Kevin M. Rand, Kristin A. Kermany, Amir Noto, Keith Curtis, Don Garrigan, Daniel Slinkov, Dmitri Dorfman, Ilya Granka, Julie M. Byrnes, Jake Myres, Natalie Ball, Catherine A. Ruby, J. Graham A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title | A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title_full | A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title_fullStr | A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title_full_unstemmed | A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title_short | A Prospective Analysis of Genetic Variants Associated with Human Lifespan |
title_sort | prospective analysis of genetic variants associated with human lifespan |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723124/ https://www.ncbi.nlm.nih.gov/pubmed/31484785 http://dx.doi.org/10.1534/g3.119.400448 |
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