Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

dc.contributor.authorvan Leeuwen EM
dc.contributor.authorSabo A
dc.contributor.authorBis JC
dc.contributor.authorHuffman JE
dc.contributor.authorManichaikul A
dc.contributor.authorSmith AV
dc.contributor.authorFeitosa MF
dc.contributor.authorDemissie S
dc.contributor.authorJoshi PK
dc.contributor.authorDuan Q
dc.contributor.authorMarten J
dc.contributor.authorvan Klinken JB
dc.contributor.authorSurakka I
dc.contributor.authorNolte IM
dc.contributor.authorZhang WH
dc.contributor.authorMbarek H
dc.contributor.authorLi-Gao RF
dc.contributor.authorTrompet S
dc.contributor.authorVerweij N
dc.contributor.authorEvangelou E
dc.contributor.authorLyytikainen LP
dc.contributor.authorTayo BO
dc.contributor.authorDeelen J
dc.contributor.authorvan der Most PJ
dc.contributor.authorvan der Laan SW
dc.contributor.authorArking DE
dc.contributor.authorMorrison A
dc.contributor.authorDehghan A
dc.contributor.authorFranco OH
dc.contributor.authorHofman A
dc.contributor.authorRivadeneira F
dc.contributor.authorSijbrands EJ
dc.contributor.authorUitterlinden AG
dc.contributor.authorMychaleckyj JC
dc.contributor.authorCampbell A
dc.contributor.authorHocking LJ
dc.contributor.authorPadmanabhan S
dc.contributor.authorBrody JA
dc.contributor.authorRice KM
dc.contributor.authorWhite CC
dc.contributor.authorHarris T
dc.contributor.authorIsaacs A
dc.contributor.authorCampbell H
dc.contributor.authorLange LA
dc.contributor.authorRudan I
dc.contributor.authorKolcic I
dc.contributor.authorNavarro P
dc.contributor.authorZemunik T
dc.contributor.authorSalomaa V
dc.contributor.authorKooner AS
dc.contributor.authorKooner JS
dc.contributor.authorLehne B
dc.contributor.authorScott WR
dc.contributor.authorTan ST
dc.contributor.authorde Geus EJ
dc.contributor.authorMilaneschi Y
dc.contributor.authorPenninx BWJH
dc.contributor.authorWillemsen G
dc.contributor.authorde Mutsert R
dc.contributor.authorFord I
dc.contributor.authorGansevoort RT
dc.contributor.authorSegura-Lepe MP
dc.contributor.authorRaitakari OT
dc.contributor.authorViikari JS
dc.contributor.authorNikus K
dc.contributor.authorForrester T
dc.contributor.authorMcKenzie CA
dc.contributor.authorde Craen AJM
dc.contributor.authorde Ruijter HM
dc.contributor.authorPasterkamp G
dc.contributor.authorSnieder H
dc.contributor.authorOldehinkel AJ
dc.contributor.authorSlagboom PE
dc.contributor.authorCooper RS
dc.contributor.authorKahonen M
dc.contributor.authorLehtimaki T
dc.contributor.authorElliott P
dc.contributor.authorvan der Harst P
dc.contributor.authorJukema JW
dc.contributor.authorMook-Kanamori DO
dc.contributor.authorBoomsma DI
dc.contributor.authorChambers JC
dc.contributor.authorSwertz M
dc.contributor.authorRipatti S
dc.contributor.authorvan Dijk KW
dc.contributor.authorVitart V
dc.contributor.authorPolasek O
dc.contributor.authorHayward C
dc.contributor.authorWilson JG
dc.contributor.authorWilson JF
dc.contributor.authorGudnason V
dc.contributor.authorRich SS
dc.contributor.authorPsaty BM
dc.contributor.authorBorecki IB
dc.contributor.authorBoerwinkle E
dc.contributor.authorRotter JI
dc.contributor.authorCupples LA
dc.contributor.authorvan Duijn CM
dc.contributor.organizationfi=sisätautioppi|en=Internal Medicine|
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.contributor.organization-code1.2.246.10.2458963.20.40502528769
dc.converis.publication-id17142434
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/17142434
dc.date.accessioned2022-10-27T12:15:49Z
dc.date.available2022-10-27T12:15:49Z
dc.description.abstractBackground So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.Methods We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from similar to 60 000 individuals in the discovery stage and similar to 90 000 samples in the replication stage.Results Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.Conclusions This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.
dc.format.pagerange441
dc.format.pagerange449
dc.identifier.eissn1468-6244
dc.identifier.jour-issn0022-2593
dc.identifier.olddbid174299
dc.identifier.oldhandle10024/157393
dc.identifier.urihttps://www.utupub.fi/handle/11111/34137
dc.identifier.urnURN:NBN:fi-fe2021042715591
dc.language.isoen
dc.okm.affiliatedauthorRaitakari, Olli
dc.okm.affiliatedauthorViikari, Jorma
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherBMJ PUBLISHING GROUP
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1136/jmedgenet-2015-103439
dc.relation.ispartofjournalJournal of Medical Genetics
dc.relation.issue7
dc.relation.volume53
dc.source.identifierhttps://www.utupub.fi/handle/10024/157393
dc.titleMeta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels
dc.year.issued2016

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