Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study
Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span. 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 i...
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creator | Lunetta, Kathryn L D'Agostino, Sr, 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 |
description | Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span.
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 > or =80%, minor allele frequency > or =10%, Hardy-Weinberg test p > or = 0.001).
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 r2 = 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 webcite.
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. |
doi_str_mv | 10.1186/1471-2350-8-s1-s13 |
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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 > or =80%, minor allele frequency > or =10%, Hardy-Weinberg test p > or = 0.001).
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 r2 = 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 webcite.
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.</description><identifier>ISSN: 1471-2350</identifier><identifier>EISSN: 1471-2350</identifier><identifier>DOI: 10.1186/1471-2350-8-s1-s13</identifier><identifier>PMID: 17903295</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Cardiovascular Diseases - genetics ; Cardiovascular Diseases - physiopathology ; Cohort Studies ; Female ; Genetic Linkage ; Genetic Markers ; Genome, Human ; Genotype ; Humans ; Longevity - genetics ; Male ; Middle Aged ; Phenotype ; Polymorphism, Single Nucleotide</subject><ispartof>BMC medical genetics, 2007-09, Vol.8 Suppl 1 (S1), p.S13-S13, Article S13</ispartof><rights>Copyright © 2007 Lunetta et al; licensee BioMed Central Ltd. 2007 Lunetta et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b559t-9d84ac60ef5e8ec1e584af2855e4c4738e78c9deba932ef662d2792a5f7716903</citedby><cites>FETCH-LOGICAL-b559t-9d84ac60ef5e8ec1e584af2855e4c4738e78c9deba932ef662d2792a5f7716903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995604/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995604/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17903295$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lunetta, Kathryn L</creatorcontrib><creatorcontrib>D'Agostino, Sr, Ralph B</creatorcontrib><creatorcontrib>Karasik, David</creatorcontrib><creatorcontrib>Benjamin, Emelia J</creatorcontrib><creatorcontrib>Guo, Chao-Yu</creatorcontrib><creatorcontrib>Govindaraju, Raju</creatorcontrib><creatorcontrib>Kiel, Douglas P</creatorcontrib><creatorcontrib>Kelly-Hayes, Margaret</creatorcontrib><creatorcontrib>Massaro, Joseph M</creatorcontrib><creatorcontrib>Pencina, Michael J</creatorcontrib><creatorcontrib>Seshadri, Sudha</creatorcontrib><creatorcontrib>Murabito, Joanne M</creatorcontrib><title>Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study</title><title>BMC medical genetics</title><addtitle>BMC Med Genet</addtitle><description>Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span.
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 > or =80%, minor allele frequency > or =10%, Hardy-Weinberg test p > or = 0.001).
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 r2 = 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 webcite.
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.</description><subject>Adult</subject><subject>Cardiovascular Diseases - genetics</subject><subject>Cardiovascular Diseases - physiopathology</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Genetic Linkage</subject><subject>Genetic Markers</subject><subject>Genome, Human</subject><subject>Genotype</subject><subject>Humans</subject><subject>Longevity - genetics</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide</subject><issn>1471-2350</issn><issn>1471-2350</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUl1rFDEUHURpa_UP-CB58m00H5MvHwQpbRUKPrR9DtnkzmxkJlmTbMuCP94ZdukHKMKF5N577uHk5DbNO4I_EqLEJ9JJ0lLGcavaQuZgL5qTh-LLJ_fj5nUpPzEmUjF21BwTqTGjmp80vy8hQg0OuZQzjLZCQalHY4oD3IW6QzZ6VGAEV8EjO0C7R3m0WUNMdbeB8hlZNMzJBO198IBsKckFW0OKqNSt36EQUV0Dush2CnFY2wldL_U3zavejgXeHs7T5vbi_ObsW3v14_L72derdsW5rq32qrNOYOg5KHAE-Jz3VHEOneskUyCV0x5WVjMKvRDUU6mp5b2URMwvPW2-7Hk329UE3kGs2Y5mk8Nk884kG8zzTgxrM6Q7Q7TmAnczwfmeYBXSPwied1yazOK-Wdw3ylyTOdjM8-EgJKdfWyjVTKE4GEcbIW2LEfP3dEzQ_wIpZlxisTDSPdDlVEqG_kEUwWbZkr_LeP_Uj8eRw1qwP8x9vLk</recordid><startdate>20070919</startdate><enddate>20070919</enddate><creator>Lunetta, Kathryn L</creator><creator>D'Agostino, Sr, Ralph B</creator><creator>Karasik, David</creator><creator>Benjamin, Emelia J</creator><creator>Guo, Chao-Yu</creator><creator>Govindaraju, Raju</creator><creator>Kiel, Douglas P</creator><creator>Kelly-Hayes, Margaret</creator><creator>Massaro, Joseph M</creator><creator>Pencina, Michael J</creator><creator>Seshadri, Sudha</creator><creator>Murabito, Joanne M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20070919</creationdate><title>Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study</title><author>Lunetta, Kathryn L ; D'Agostino, Sr, 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><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b559t-9d84ac60ef5e8ec1e584af2855e4c4738e78c9deba932ef662d2792a5f7716903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adult</topic><topic>Cardiovascular Diseases - genetics</topic><topic>Cardiovascular Diseases - physiopathology</topic><topic>Cohort Studies</topic><topic>Female</topic><topic>Genetic Linkage</topic><topic>Genetic Markers</topic><topic>Genome, Human</topic><topic>Genotype</topic><topic>Humans</topic><topic>Longevity - genetics</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Phenotype</topic><topic>Polymorphism, Single Nucleotide</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lunetta, Kathryn L</creatorcontrib><creatorcontrib>D'Agostino, Sr, Ralph B</creatorcontrib><creatorcontrib>Karasik, David</creatorcontrib><creatorcontrib>Benjamin, Emelia J</creatorcontrib><creatorcontrib>Guo, Chao-Yu</creatorcontrib><creatorcontrib>Govindaraju, Raju</creatorcontrib><creatorcontrib>Kiel, Douglas P</creatorcontrib><creatorcontrib>Kelly-Hayes, Margaret</creatorcontrib><creatorcontrib>Massaro, Joseph M</creatorcontrib><creatorcontrib>Pencina, Michael J</creatorcontrib><creatorcontrib>Seshadri, Sudha</creatorcontrib><creatorcontrib>Murabito, Joanne M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC medical genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lunetta, Kathryn L</au><au>D'Agostino, Sr, Ralph B</au><au>Karasik, David</au><au>Benjamin, Emelia J</au><au>Guo, Chao-Yu</au><au>Govindaraju, Raju</au><au>Kiel, Douglas P</au><au>Kelly-Hayes, Margaret</au><au>Massaro, Joseph M</au><au>Pencina, Michael J</au><au>Seshadri, Sudha</au><au>Murabito, Joanne M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study</atitle><jtitle>BMC medical genetics</jtitle><addtitle>BMC Med Genet</addtitle><date>2007-09-19</date><risdate>2007</risdate><volume>8 Suppl 1</volume><issue>S1</issue><spage>S13</spage><epage>S13</epage><pages>S13-S13</pages><artnum>S13</artnum><issn>1471-2350</issn><eissn>1471-2350</eissn><abstract>Family studies and heritability estimates provide evidence for a genetic contribution to variation in the human life span.
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 > or =80%, minor allele frequency > or =10%, Hardy-Weinberg test p > or = 0.001).
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 r2 = 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 webcite.
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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>17903295</pmid><doi>10.1186/1471-2350-8-s1-s13</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Cardiovascular Diseases - genetics Cardiovascular Diseases - physiopathology Cohort Studies Female Genetic Linkage Genetic Markers Genome, Human Genotype Humans Longevity - genetics Male Middle Aged Phenotype Polymorphism, Single Nucleotide |
title | Genetic correlates of longevity and selected age-related phenotypes: a genome-wide association study in the Framingham Study |
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