A meta-analysis of genome-wide association studies identifies multiple longevity genes

dc.contributor.authorDeelen J
dc.contributor.authorEvans DS
dc.contributor.authorArking DE
dc.contributor.authorTesi N
dc.contributor.authorNygaard M
dc.contributor.authorLiu XM
dc.contributor.authorWojczynski MK
dc.contributor.authorBiggs ML
dc.contributor.authorvan Der Spek A
dc.contributor.authorAtzmon G
dc.contributor.authorWare EB
dc.contributor.authorSarnowski C
dc.contributor.authorSmith AV
dc.contributor.authorSeppala I
dc.contributor.authorCordell HJ
dc.contributor.authorDose J
dc.contributor.authorAmin N
dc.contributor.authorArnold AM
dc.contributor.authorAyers KL
dc.contributor.authorBarzilai N
dc.contributor.authorBecker EJ
dc.contributor.authorBeekman M
dc.contributor.authorBlanche H
dc.contributor.authorChristensen K
dc.contributor.authorChristiansen L
dc.contributor.authorCollerton JC
dc.contributor.authorCubaynes S
dc.contributor.authorCummings SR
dc.contributor.authorDavies K
dc.contributor.authorDebrabant B
dc.contributor.authorDeleuze JF
dc.contributor.authorDuncan R
dc.contributor.authorFaul JD
dc.contributor.authorFranceschi C
dc.contributor.authorGalan P
dc.contributor.authorGudnaso V
dc.contributor.authorHarris TB
dc.contributor.authorHuisman M
dc.contributor.authorHurme MA
dc.contributor.authorJagger C
dc.contributor.authorJansen I
dc.contributor.authorJylha M
dc.contributor.authorKahonen M
dc.contributor.authorKarasik D
dc.contributor.authorKardia SLR
dc.contributor.authorKingston A
dc.contributor.authorKirkwood TBL
dc.contributor.authorLauner LJ
dc.contributor.authorLehtimaki T
dc.contributor.authorLieb WG
dc.contributor.authorLyytikainen LP
dc.contributor.authorMartin-Ruiz C
dc.contributor.authorMin JX
dc.contributor.authorNebe A
dc.contributor.authorNewman AB
dc.contributor.authorNie C
dc.contributor.authorNohr EA
dc.contributor.authorOrwoll ES
dc.contributor.authorPerls TT
dc.contributor.authorProvince MA
dc.contributor.authorPsat BM
dc.contributor.authorRaitakari OT
dc.contributor.authorReinders MJT
dc.contributor.authorRobine JM
dc.contributor.authorRotter JI
dc.contributor.authorSebastiani P
dc.contributor.authorSmith J
dc.contributor.authorSorensen TIA
dc.contributor.authorTaylor KD
dc.contributor.authorUitterlinden AG
dc.contributor.authorvan Der Flier W
dc.contributor.authorvan Der Lee SJ
dc.contributor.authorvan Duijn CM
dc.contributor.authorvan Heemst D
dc.contributor.authorVaupel JW
dc.contributor.authorWeir D
dc.contributor.authorYe K
dc.contributor.authorZeng Y
dc.contributor.authorZheng WL
dc.contributor.authorHolstege H
dc.contributor.authorKiel DP
dc.contributor.authorLunetta KL
dc.contributor.authorSlagboom PE
dc.contributor.authorMurabito JM
dc.contributor.organizationfi=sydäntutkimuskeskus|en=Cardiovascular Medicine (CAPC)|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.35734063924
dc.converis.publication-id42013207
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/42013207
dc.date.accessioned2022-10-27T12:15:14Z
dc.date.available2022-10-27T12:15:14Z
dc.description.abstractHuman longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) epsilon 4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE epsilon 2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
dc.identifier.eissn2041-1723
dc.identifier.jour-issn2041-1723
dc.identifier.olddbid174237
dc.identifier.oldhandle10024/157331
dc.identifier.urihttps://www.utupub.fi/handle/11111/34060
dc.identifier.urlhttps://www.nature.com/articles/s41467-019-11558-2
dc.identifier.urnURN:NBN:fi-fe2021042822804
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline318 Medical biotechnologyen_GB
dc.okm.discipline318 Lääketieteen bioteknologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNATURE PUBLISHING GROUP
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber3669
dc.relation.doi10.1038/s41467-019-11558-2
dc.relation.ispartofjournalNature Communications
dc.relation.volume10
dc.source.identifierhttps://www.utupub.fi/handle/10024/157331
dc.titleA meta-analysis of genome-wide association studies identifies multiple longevity genes
dc.year.issued2019

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