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Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study

BACKGROUND: Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span. METHODS: We conducted a genome wide association study (Affymetrix 100K SNP GeneChip) for longevity-related traits in a community-based sample. We report on 5 longevi...

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Autores principales: Lunetta, Kathryn L, D'Agostino, Ralph B, Karasik, David, Benjamin, Emelia J, Guo, Chao-Yu, Govindaraju, Raju, Kiel, Douglas P, Kelly-Hayes, Margaret, Massaro, Joseph M, Pencina, Michael J, Seshadri, Sudha, Murabito, Joanne M
Formato: Texto
Lenguaje:English
Publicado: BMC 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995604/
https://www.ncbi.nlm.nih.gov/pubmed/17903295
http://dx.doi.org/10.1186/1471-2350-8-S1-S13
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author Lunetta, Kathryn L
D'Agostino, Ralph B
Karasik, David
Benjamin, Emelia J
Guo, Chao-Yu
Govindaraju, Raju
Kiel, Douglas P
Kelly-Hayes, Margaret
Massaro, Joseph M
Pencina, Michael J
Seshadri, Sudha
Murabito, Joanne M
author_facet Lunetta, Kathryn L
D'Agostino, Ralph B
Karasik, David
Benjamin, Emelia J
Guo, Chao-Yu
Govindaraju, Raju
Kiel, Douglas P
Kelly-Hayes, Margaret
Massaro, Joseph M
Pencina, Michael J
Seshadri, Sudha
Murabito, Joanne M
author_sort Lunetta, Kathryn L
collection PubMed
description BACKGROUND: Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span. METHODS: We conducted a genome wide association study (Affymetrix 100K SNP GeneChip) for longevity-related traits in a community-based sample. We report on 5 longevity and aging traits in up to 1345 Framingham Study participants from 330 families. Multivariable-adjusted residuals were computed using appropriate models (Cox proportional hazards, logistic, or linear regression) and the residuals from these models were used to test for association with qualifying SNPs (70, 987 autosomal SNPs with genotypic call rate ≥80%, minor allele frequency ≥10%, Hardy-Weinberg test p ≥ 0.001). RESULTS: In family-based association test (FBAT) models, 8 SNPs in two regions approximately 500 kb apart on chromosome 1 (physical positions 73,091,610 and 73, 527,652) were associated with age at death (p-value < 10(-5)). The two sets of SNPs were in high linkage disequilibrium (minimum r(2 )= 0.58). The top 30 SNPs for generalized estimating equation (GEE) tests of association with age at death included rs10507486 (p = 0.0001) and rs4943794 (p = 0.0002), SNPs intronic to FOXO1A, a gene implicated in lifespan extension in animal models. FBAT models identified 7 SNPs and GEE models identified 9 SNPs associated with both age at death and morbidity-free survival at age 65 including rs2374983 near PON1. In the analysis of selected candidate genes, SNP associations (FBAT or GEE p-value < 0.01) were identified for age at death in or near the following genes: FOXO1A, GAPDH, KL, LEPR, PON1, PSEN1, SOD2, and WRN. Top ranked SNP associations in the GEE model for age at natural menopause included rs6910534 (p = 0.00003) near FOXO3a and rs3751591 (p = 0.00006) in CYP19A1. Results of all longevity phenotype-genotype associations for all autosomal SNPs are web posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007. CONCLUSION: Longevity and aging traits are associated with SNPs on the Affymetrix 100K GeneChip. None of the associations achieved genome-wide significance. These data generate hypotheses and serve as a resource for replication as more genes and biologic pathways are proposed as contributing to longevity and healthy aging.
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spelling pubmed-19956042007-10-01 Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study Lunetta, Kathryn L D'Agostino, Ralph B Karasik, David Benjamin, Emelia J Guo, Chao-Yu Govindaraju, Raju Kiel, Douglas P Kelly-Hayes, Margaret Massaro, Joseph M Pencina, Michael J Seshadri, Sudha Murabito, Joanne M BMC Med Genet Research BACKGROUND: Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span. METHODS: We conducted a genome wide association study (Affymetrix 100K SNP GeneChip) for longevity-related traits in a community-based sample. We report on 5 longevity and aging traits in up to 1345 Framingham Study participants from 330 families. Multivariable-adjusted residuals were computed using appropriate models (Cox proportional hazards, logistic, or linear regression) and the residuals from these models were used to test for association with qualifying SNPs (70, 987 autosomal SNPs with genotypic call rate ≥80%, minor allele frequency ≥10%, Hardy-Weinberg test p ≥ 0.001). RESULTS: In family-based association test (FBAT) models, 8 SNPs in two regions approximately 500 kb apart on chromosome 1 (physical positions 73,091,610 and 73, 527,652) were associated with age at death (p-value < 10(-5)). The two sets of SNPs were in high linkage disequilibrium (minimum r(2 )= 0.58). The top 30 SNPs for generalized estimating equation (GEE) tests of association with age at death included rs10507486 (p = 0.0001) and rs4943794 (p = 0.0002), SNPs intronic to FOXO1A, a gene implicated in lifespan extension in animal models. FBAT models identified 7 SNPs and GEE models identified 9 SNPs associated with both age at death and morbidity-free survival at age 65 including rs2374983 near PON1. In the analysis of selected candidate genes, SNP associations (FBAT or GEE p-value < 0.01) were identified for age at death in or near the following genes: FOXO1A, GAPDH, KL, LEPR, PON1, PSEN1, SOD2, and WRN. Top ranked SNP associations in the GEE model for age at natural menopause included rs6910534 (p = 0.00003) near FOXO3a and rs3751591 (p = 0.00006) in CYP19A1. Results of all longevity phenotype-genotype associations for all autosomal SNPs are web posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007. CONCLUSION: Longevity and aging traits are associated with SNPs on the Affymetrix 100K GeneChip. None of the associations achieved genome-wide significance. These data generate hypotheses and serve as a resource for replication as more genes and biologic pathways are proposed as contributing to longevity and healthy aging. BMC 2007-09-19 /pmc/articles/PMC1995604/ /pubmed/17903295 http://dx.doi.org/10.1186/1471-2350-8-S1-S13 Text en Copyright © 2007 Lunetta et al; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Lunetta, Kathryn L
D'Agostino, Ralph B
Karasik, David
Benjamin, Emelia J
Guo, Chao-Yu
Govindaraju, Raju
Kiel, Douglas P
Kelly-Hayes, Margaret
Massaro, Joseph M
Pencina, Michael J
Seshadri, Sudha
Murabito, Joanne M
Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title_full Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title_fullStr Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title_full_unstemmed Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title_short Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
title_sort genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the framingham study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995604/
https://www.ncbi.nlm.nih.gov/pubmed/17903295
http://dx.doi.org/10.1186/1471-2350-8-S1-S13
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