An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype

BACKGROUND: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. METHODS: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the dis... Mehr ...

Verfasser: Direk, Nese
Williams, Stephanie
Smith, Jennifer A
Ripke, Stephan
Air, Tracy
Amare, Azmeraw T
Amin, Najaf
Baune, Bernhard T
Bennett, David A
Blackwood, Douglas H R
Boomsma, Dorret
Breen, Gerome
Buttenschøn, Henriette Nørmølle
Byrne, Enda M
Børglum, Anders D
Castelao, Enrique
Cichon, Sven
Clarke, Toni-Kim
Cornelis, Marilyn C
Dannlowski, Udo
De Jager, Philip L
Demirkan, Ayse
Domenici, Enrico
van Duijn, Cornelia M
Dunn, Erin C
Eriksson, Johan G
Esko, Tonu
Faul, Jessica D
Ferrucci, Luigi
Fornage, Myriam
de Geus, Eco
Gill, Michael
Gordon, Scott D
Grabe, Hans-Jörgen
van Grootheest, Gerard
Hamilton, Steven P
Hartman, Catharina A
Heath, Andrew C
Hek, Karin
Hofman, Albert
Homuth, Georg
Horn, Carsten
Jan Hottenga, Jouke
Kardia, Sharon L R
Kloiber, Stefan
Koenen, Karestan
Kutalik, Zoltán
Ladwig, Karl-Heinz
Lahti, Jari
Levinson, Douglas F
Lewis, Cathryn M
Lewis, Glyn
Li, Qingqin S
Llewellyn, David J
Lucae, Susanne
Lunetta, Kathryn L
MacIntyre, Donald J
Madden, Pamela A F
Martin, Nicholas G
McIntosh, Andrew M
Metspalu, Andres
Milaneschi, Yuri
Montgomery, Grant W
Mors, Ole
Mosley, Thomas H
Murabito, Joanne M
Müller-Myhsok, Bertram
Nöthen, Markus M
Nyholt, Dale R
O'Donovan, Michael C
Penninx, Brenda W
Pergadia, Michele L.
Perlis, Roy
Potash, James B
Preisig, Martin
Purcell, Shaun M
Quiroz, Jorge A
Räikkönen, Katri
Rice, John P
Rietschel, Marcella
Rivera, Margarita
Schulze, Thomas G
Shi, Jianxin
Shyn, Stanley I
Sinnamon, Grant C
Smit, Johannes H
Smoller, Jordan W
Snieder, Harold
Tanaka, Toshiko
Tansey, Katherine E
Teumer, Alexander
Uher, Rudolf
Umbricht, Daniel
Van der Auwera, Sandra
Ware, Erin B
Weir, David R
Weissman, Myrna M
Willemsen, Gonneke
Yang, Jingyun
Zhao, Wei
Tiemeier, Henning
Sullivan, Patrick F
Dokumenttyp: Artikel
Erscheinungsdatum: 2017
Reihe/Periodikum: Direk , N , Williams , S , Smith , J A , Ripke , S , Air , T , Amare , A T , Amin , N , Baune , B T , Bennett , D A , Blackwood , D H R , Boomsma , D , Breen , G , Buttenschøn , H N , Byrne , E M , Børglum , A D , Castelao , E , Cichon , S , Clarke , T-K , Cornelis , M C , Dannlowski , U , De Jager , P L , Demirkan , A , Domenici , E , van Duijn , C M , Dunn , E C , Eriksson , J G , Esko , T , Faul , J D , Ferrucci , L , Fornage , M , de Geus , E , Gill , M , Gordon , S D , Grabe , H-J , van Grootheest , G , Hamilton , S P , Hartman , C A , Heath , A C , Hek , K , Hofman , A , Homuth , G , Horn , C , Jan Hottenga , J , Kardia , S L R , Kloiber , S , Koenen , K , Kutalik , Z , Ladwig , K-H , Lahti , J , Levinson , D F , Lewis , C M , Lewis , G , Li , Q S , Llewellyn , D J , Lucae , S , Lunetta , K L , MacIntyre , D J , Madden , P A F , Martin , N G , McIntosh , A M , Metspalu , A , Milaneschi , Y , Montgomery , G W , Mors , O , Mosley , T H , Murabito , J M , Müller-Myhsok , B , Nöthen , M M , Nyholt , D R , O'Donovan , M C , Penninx , B W , Pergadia , M L , Perlis , R , Potash , J B , Preisig , M , Purcell , S M , Quiroz , J A , Räikkönen , K , Rice , J P , Rietschel , M , Rivera , M , Schulze , T G , Shi , J , Shyn , S I , Sinnamon , G C , Smit , J H , Smoller , J W , Snieder , H , Tanaka , T , Tansey , K E , Teumer , A , Uher , R , Umbricht , D , Van der Auwera , S , Ware , E B , Weir , D R , Weissman , M M , Willemsen , G , Yang , J , Zhao , W , Tiemeier , H & Sullivan , P F 2017 , ' An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype ' , Biological Psychiatry , vol. 82 , no. 5 , pp. 322-329 . https://doi.org/10.1016/j.biopsych.2016.11.013
Schlagwörter: Journal Article / /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) / /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being / name=SDG 3 - Good Health and Well-being
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26845237
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.vu.nl/en/publications/d6772206-da14-42ac-ab91-6dbe89ebb60a

BACKGROUND: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder. METHODS: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures. RESULTS: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10(-9)) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10(-9)). CONCLUSIONS: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression.