Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

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State: Public
Version: Final published version
Serval ID
serval:BIB_FC7DB3103C3C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.
Journal
PloS one
Author(s)
Feitosa M.F., Kraja A.T., Chasman D.I., Sung Y.J., Winkler T.W., Ntalla I., Guo X., Franceschini N., Cheng C.Y., Sim X., Vojinovic D., Marten J., Musani S.K., Li C., Bentley A.R., Brown M.R., Schwander K., Richard M.A., Noordam R., Aschard H., Bartz T.M., Bielak L.F., Dorajoo R., Fisher V., Hartwig F.P., Horimoto ARVR, Lohman K.K., Manning A.K., Rankinen T., Smith A.V., Tajuddin S.M., Wojczynski M.K., Alver M., Boissel M., Cai Q., Campbell A., Chai J.F., Chen X., Divers J., Gao C., Goel A., Hagemeijer Y., Harris S.E., He M., Hsu F.C., Jackson A.U., Kähönen M., Kasturiratne A., Komulainen P., Kühnel B., Laguzzi F., Luan J., Matoba N., Nolte I.M., Padmanabhan S., Riaz M., Rueedi R., Robino A., Said M.A., Scott R.A., Sofer T., Stančáková A., Takeuchi F., Tayo B.O., van der Most P.J., Varga T.V., Vitart V., Wang Y., Ware E.B., Warren H.R., Weiss S., Wen W., Yanek L.R., Zhang W., Zhao J.H., Afaq S., Amin N., Amini M., Arking D.E., Aung T., Boerwinkle E., Borecki I., Broeckel U., Brown M., Brumat M., Burke G.L., Canouil M., Chakravarti A., Charumathi S., Ida Chen Y.D., Connell J.M., Correa A., de Las Fuentes L., de Mutsert R., de Silva H.J., Deng X., Ding J., Duan Q., Eaton C.B., Ehret G., Eppinga R.N., Evangelou E., Faul J.D., Felix S.B., Forouhi N.G., Forrester T., Franco O.H., Friedlander Y., Gandin I., Gao H., Ghanbari M., Gigante B., Gu C.C., Gu D., Hagenaars S.P., Hallmans G., Harris T.B., He J., Heikkinen S., Heng C.K., Hirata M., Howard B.V., Ikram M.A., John U., Katsuya T., Khor C.C., Kilpeläinen T.O., Koh W.P., Krieger J.E., Kritchevsky S.B., Kubo M., Kuusisto J., Lakka T.A., Langefeld C.D., Langenberg C., Launer L.J., Lehne B., Lewis C.E., Li Y., Lin S., Liu J., Liu J., Loh M., Louie T., Mägi R., McKenzie C.A., Meitinger T., Metspalu A., Milaneschi Y., Milani L., Mohlke K.L., Momozawa Y., Nalls M.A., Nelson C.P., Sotoodehnia N., Norris J.M., O'Connell J.R., Palmer N.D., Perls T., Pedersen N.L., Peters A., Peyser P.A., Poulter N., Raffel L.J., Raitakari O.T., Roll K., Rose L.M., Rosendaal F.R., Rotter J.I., Schmidt C.O., Schreiner P.J., Schupf N., Scott W.R., Sever P.S., Shi Y., Sidney S., Sims M., Sitlani C.M., Smith J.A., Snieder H., Starr J.M., Strauch K., Stringham H.M., Tan NYQ, Tang H., Taylor K.D., Teo Y.Y., Tham Y.C., Turner S.T., Uitterlinden A.G., Vollenweider P., Waldenberger M., Wang L., Wang Y.X., Wei W.B., Williams C., Yao J., Yu C., Yuan J.M., Zhao W., Zonderman A.B., Becker D.M., Boehnke M., Bowden D.W., Chambers J.C., Deary I.J., Esko T., Farrall M., Franks P.W., Freedman B.I., Froguel P., Gasparini P., Gieger C., Jonas J.B., Kamatani Y., Kato N., Kooner J.S., Kutalik Z., Laakso M., Laurie C.C., Leander K., Lehtimäki T., Study L.C., Magnusson PKE, Oldehinkel A.J., Penninx BWJH, Polasek O., Porteous D.J., Rauramaa R., Samani N.J., Scott J., Shu X.O., van der Harst P., Wagenknecht L.E., Wareham N.J., Watkins H., Weir D.R., Wickremasinghe A.R., Wu T., Zheng W., Bouchard C., Christensen K., Evans M.K., Gudnason V., Horta B.L., Kardia SLR, Liu Y., Pereira A.C., Psaty B.M., Ridker P.M., van Dam R.M., Gauderman W.J., Zhu X., Mook-Kanamori D.O., Fornage M., Rotimi C.N., Cupples L.A., Kelly T.N., Fox E.R., Hayward C., van Duijn C.M., Tai E.S., Wong T.Y., Kooperberg C., Palmas W., Rice K., Morrison A.C., Elliott P., Caulfield M.J., Munroe P.B., Rao D.C., Province M.A., Levy D.
Working group(s)
InterAct Consortium
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2018
Peer-reviewed
Oui
Volume
13
Number
6
Pages
e0198166
Language
english
Notes
Publication types: Journal Article ; Meta-Analysis ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Keywords
Adolescent, Adult, Aged, Aged, 80 and over, Alcohol Drinking/epidemiology, Alcohol Drinking/genetics, Blood Pressure/genetics, Cohort Studies, Continental Population Groups/genetics, Continental Population Groups/statistics & numerical data, Female, Gene-Environment Interaction, Genetic Predisposition to Disease/epidemiology, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Humans, Hypertension/epidemiology, Hypertension/genetics, Male, Middle Aged, Pedigree, Polymorphism, Single Nucleotide, Young Adult
Pubmed
Web of science
Open Access
Yes
Create date
22/08/2018 14:07
Last modification date
20/08/2019 17:27
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