Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.
Authors
Sklar, PamelaRipke, Stephan
Scott, Laura J
Andreassen, Ole A
Cichon, Sven
Craddock, Nick
Edenberg, Howard J
Nurnberger, John I
Rietschel, Marcella
Blackwood, Douglas
Corvin, Aiden
Flickinger, Matthew
Guan, Weihua
Mattingsdal, Morten
McQuillin, Andrew
Kwan, Phoenix
Wienker, Thomas F
Daly, Mark
Dudbridge, Frank
Holmans, Peter A
Lin, Danyu
Burmeister, Margit
Greenwood, Tiffany A
Hamshere, Marian L
Muglia, Pierandrea
Smith, Erin N
Zandi, Peter P
Nievergelt, Caroline M
McKinney, Rebecca
Shilling, Paul D
Schork, Nicholas J
Bloss, Cinnamon S
Foroud, Tatiana
Koller, Daniel L
Gershon, Elliot S
Liu, Chunyu
Badner, Judith A
Scheftner, William A
Lawson, William B
Nwulia, Evaristus A
Hipolito, Maria
Coryell, William
Rice, John
Byerley, William
McMahon, Francis J
Schulze, Thomas G
Berrettini, Wade
Lohoff, Falk W
Potash, James B
Mahon, Pamela B
McInnis, Melvin G
Zöllner, Sebastian
Zhang, Peng
Craig, David W
Szelinger, Szabocls
Barrett, Thomas B
Breuer, René
Meier, Sandra
Strohmaier, Jana
Witt, Stephanie H
Tozzi, Federica
Farmer, Anne
McGuffin, Peter
Strauss, John
Xu, Wei
Kennedy, James L
Vincent, John B
Matthews, Keith
Day, Richard
Ferreira, Manuel A
O'Dushlaine, Colm
Perlis, Roy
Raychaudhuri, Soumya
Ruderfer, Douglas
Hyoun, Phil L
Smoller, Jordan W
Li, Jun
Absher, Devin
Thompson, Robert C
Meng, Fan Guo
Schatzberg, Alan F
Bunney, William E
Barchas, Jack D
Jones, Edward G
Watson, Stanley J
Myers, Richard M
Akil, Huda
Boehnke, Michael
Chambert, Kim
Moran, Jennifer
Scolnick, Ed
Djurovic, Srdjan
Melle, Ingrid
Morken, Gunnar
Gill, Michael
Morris, Derek
Quinn, Emma
Mühleisen, Thomas W
Degenhardt, Franziska A
Mattheisen, Manuel
Schumacher, Johannes
Maier, Wolfgang
Steffens, Michael
Propping, Peter
Nöthen, Markus M
Anjorin, Adebayo
Bass, Nick
Gurling, Hugh
Kandaswamy, Radhika
Lawrence, Jacob
McGhee, Kevin
McIntosh, Andrew
McLean, Alan W
Muir, Walter J
Pickard, Benjamin S
Breen, Gerome
St Clair, David
Caesar, Sian
Gordon-Smith, Katherine
Jones, Lisa
Fraser, Christine
Green, Elaine K
Grozeva, Detelina
Jones, Ian R
Kirov, George
Moskvina, Valentina
Nikolov, Ivan
O'Donovan, Michael C
Owen, Michael J
Collier, David A
Elkin, Amanda
Williamson, Richard
Young, Allan H
Ferrier, I Nicol
Stefansson, Kari
Stefansson, Hreinn
Thornorgeirsson, Thornorgeir
Steinberg, Stacy
Gustafsson, Omar
Bergen, Sarah E
Nimgaonkar, Vishwajit
Hultman, Christina
Landén, Mikael
Lichtenstein, Paul
Sullivan, Patrick
Schalling, Martin
Osby, Urban
Backlund, Lena
Frisén, Louise
Langstrom, Niklas
Jamain, Stéphane
Leboyer, Marion
Etain, Bruno
Bellivier, Frank
Petursson, Hannes
Sigur Sson, Engilbert
Müller-Mysok, Bertram
Lucae, Susanne
Schwarz, Markus
Schofield, Peter R
Martin, Nick
Montgomery, Grant W
Lathrop, Mark
Oskarsson, Högni
Bauer, Michael
Wright, Adam
Mitchell, Philip B
Hautzinger, Martin
Reif, Andreas
Kelsoe, John R
Purcell, Shaun M
Affiliation
Division of Psychiatric Genomics, Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, USA. pamela.sklar@mssm.eduIssue Date
2011-10MeSH
AllelesBipolar Disorder
Calcium Channels, L-Type
Case-Control Studies
Databases, Genetic
Genetic Loci
Genetic Predisposition to Disease
Genome, Human
Genome-Wide Association Study
Humans
Linkage Disequilibrium
Nuclear Proteins
Polymorphism, Single Nucleotide
Schizophrenia
Metadata
Show full item recordCitation
Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. 2011, 43 (10):977-83 Nat. Genet.Journal
Nature geneticsDOI
10.1038/ng.943PubMed ID
21926972Abstract
We conducted a combined genome-wide association study (GWAS) of 7,481 individuals with bipolar disorder (cases) and 9,250 controls as part of the Psychiatric GWAS Consortium. Our replication study tested 34 SNPs in 4,496 independent cases with bipolar disorder and 42,422 independent controls and found that 18 of 34 SNPs had P < 0.05, with 31 of 34 SNPs having signals with the same direction of effect (P = 3.8 × 10(-7)). An analysis of all 11,974 bipolar disorder cases and 51,792 controls confirmed genome-wide significant evidence of association for CACNA1C and identified a new intronic variant in ODZ4. We identified a pathway comprised of subunits of calcium channels enriched in bipolar disorder association intervals. Finally, a combined GWAS analysis of schizophrenia and bipolar disorder yielded strong association evidence for SNPs in CACNA1C and in the region of NEK4-ITIH1-ITIH3-ITIH4. Our replication results imply that increasing sample sizes in bipolar disorder will confirm many additional loci.Item Type
ArticleLanguage
enISSN
1546-1718ae974a485f413a2113503eed53cd6c53
10.1038/ng.943
Scopus Count
Collections
Related articles
- Genome-wide significant associations in schizophrenia to ITIH3/4, CACNA1C and SDCCAG8, and extensive replication of associations reported by the Schizophrenia PGC.
- Authors: Hamshere ML, Walters JT, Smith R, Richards AL, Green E, Grozeva D, Jones I, Forty L, Jones L, Gordon-Smith K, Riley B, O'Neill FA, Kendler KS, Sklar P, Purcell S, Kranz J, Schizophrenia Psychiatric Genome-wide Association Study Consortium, Wellcome Trust Case Control Consortium+, Wellcome Trust Case Control Consortium 2, Morris D, Gill M, Holmans P, Craddock N, Corvin A, Owen MJ, O'Donovan MC
- Issue date: 2013 Jun
- Replication of bipolar disorder susceptibility alleles and identification of two novel genome-wide significant associations in a new bipolar disorder case-control sample.
- Authors: Green EK, Hamshere M, Forty L, Gordon-Smith K, Fraser C, Russell E, Grozeva D, Kirov G, Holmans P, Moran JL, Purcell S, Sklar P, Owen MJ, O'Donovan MC, Jones L, WTCCC, Jones IR, Craddock N
- Issue date: 2013 Dec
- Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.
- Authors: Cross-Disorder Group of the Psychiatric Genomics Consortium
- Issue date: 2013 Apr 20
- Gene-wide analyses of genome-wide association data sets: evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk.
- Authors: Moskvina V, Craddock N, Holmans P, Nikolov I, Pahwa JS, Green E, Wellcome Trust Case Control Consortium, Owen MJ, O'Donovan MC
- Issue date: 2009 Mar
- Genome-wide association study identifies five new schizophrenia loci.
- Authors: Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium
- Issue date: 2011 Sep 18
Related items
Showing items related by title, author, creator and subject.
-
Proceedings from the 3rd European Clinical Consensus Conference for clinical trials in device-based hypertension therapies.Mahfoud, Felix; Azizi, Michel; Ewen, Sebastian; Pathak, Atul; Ukena, Christian; Blankestijn, Peter J; Böhm, Michael; Burnier, Michel; Chatellier, Gilles; Durand Zaleski, Isabelle; et al. (2021-04-21)
-
A genome-wide scan for common alleles affecting risk for autism.Anney, Richard; Klei, Lambertus; Pinto, Dalila; Regan, Regina; Conroy, Judith; Magalhaes, Tiago R; Correia, Catarina; Abrahams, Brett S; Sykes, Nuala; Pagnamenta, Alistair T; et al. (2010-10-15)Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10(-8). When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10(-8) threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C.
-
The Psychological Science Accelerator's COVID-19 rapid-response dataset.Buchanan, Erin M; Lewis, Savannah C; Paris, Bastien; Forscher, Patrick S; Pavlacic, Jeffrey M; Beshears, Julie E; Drexler, Shira Meir; Gourdon-Kanhukamwe, Amélie; Mallik, Peter R; Silan, Miguel Alejandro A; et al. (11/02/2023)