WTCCC case-control study for Bipolar Disorder

WTCCC genome-wide case-control association study for Bipolar disorder (BD) using the 1958 British Birth Cohort and the UK National Blood Service collections as controls.

Type: Other
Archiver: EGA European Genome-Phenome Archive

3 Datasets 17 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00000000001	WTCCC1 project samples from 1958 British Birth Cohort	Affymetrix 500K	1504
EGAD00000000002	WTCCC1 project samples from UK National Blood Service	Affymetrix 500K	1500
EGAD00000000003	WTCCC1 project Bipolar Disorder (BD) samples		1

Publications	Citations
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Wellcome Trust Case Control Consortium. Nature 447: 2007 661-678	5950
Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies. Liu X, Huang M, Fan B, Buckler ES, Zhang Z. PLoS Genet 12: 2016 e1005767	392
A pilot study on commonality and specificity of copy number variants in schizophrenia and bipolar disorder. Chen J, Calhoun VD, Perrone-Bizzozero NI, Pearlson GD, Sui J, Du Y, Liu J. Transl Psychiatry 6: 2016 e824	16
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma. Mitchell JS, Li N, Weinhold N, Försti A, Ali M, van Duin M, Thorleifsson G, Johnson DC, Johnson DC, Chen B, Halvarsson BM, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Einsele H, Gregory WA, Gullberg U, Henrion M, Hillengass J, Hoffmann P, Jackson GH, Johnsson E, Jöud M, Kristinsson SY, Lenhoff S, Lenive O, Mellqvist UH, Migliorini G, Nahi H, Nelander S, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Swaminathan B, Thomsen H, Turesson I, Vangsted A, Vogel U, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Goldschmidt H, Hemminki K, Nilsson B, Houlston RS. Nat Commun 7: 2016 12050	92
Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network. Richard AC, Peters JE, Lee JC, Vahedi G, Schäffer AA, Siegel RM, Lyons PA, Smith KG. Genome Med 8: 2016 76	8
Leveraging functional annotations in genetic risk prediction for human complex diseases. Hu Y, Lu Q, Powles R, Yao X, Yang C, Fang F, Xu X, Zhao H. PLoS Comput Biol 13: 2017 e1005589	78
Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction. Hu Y, Lu Q, Liu W, Zhang Y, Li M, Zhao H. PLoS Genet 13: 2017 e1006836	34
Further investigations of the W-test for pairwise epistasis testing. Howey R, Cordell HJ. Wellcome Open Res 2: 2017 54	0
Publishing descriptions of non-public clinical datasets: proposed guidance for researchers, repositories, editors and funding organisations. Hrynaszkiewicz I, Khodiyar V, Hufton AL, Sansone SA. Res Integr Peer Rev 1: 2016 6	9
Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS. Manduchi E, Williams SM, Chesi A, Johnson ME, Wells AD, Grant SFA, Moore JH. Hum Genet 137: 2018 413-425	5
Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Went M, Sud A, Försti A, Halvarsson BM, Weinhold N, Kimber S, van Duin M, Thorleifsson G, Holroyd A, Johnson DC, Johnson DC, Li N, Orlando G, Law PJ, Ali M, Chen B, Mitchell JS, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Bandapalli OR, Einsele H, Gregory WA, Gullberg U, Hillengass J, Hoffmann P, Jackson GH, Jöckel KH, Johnsson E, Kristinsson SY, Mellqvist UH, Nahi H, Easton D, Pharoah P, Dunning A, Peto J, Canzian F, Swerdlow A, Eeles RA, Kote-Jarai Z, Muir K, Pashayan N, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Thomsen H, Turesson I, Vangsted A, Andersen NF, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Goldschmidt H, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Hemminki K, Nilsson B, Houlston RS, PRACTICAL consortium. Nat Commun 9: 2018 3707	51
SumHer better estimates the SNP heritability of complex traits from summary statistics. Speed D, Balding DJ. Nat Genet 51: 2019 277-284	74
Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology. Went M, Sud A, Speedy H, Sunter NJ, Försti A, Law PJ, Johnson DC, Johnson DC, Mirabella F, Holroyd A, Li N, Orlando G, Weinhold N, van Duin M, Chen B, Mitchell JS, Mansouri L, Juliusson G, Smedby KE, Jayne S, Majid A, Dearden C, Allsup DJ, Bailey JR, Pratt G, Pepper C, Fegan C, Rosenquist R, Kuiper R, Stephens OW, Bertsch U, Broderick P, Einsele H, Gregory WM, Hillengass J, Hoffmann P, Jackson GH, Jöckel KH, Nickel J, Nöthen MM, da Silva Filho MI, Thomsen H, Walker BA, Broyl A, Davies FE, Hansson M, Goldschmidt H, Dyer MJS, Kaiser M, Sonneveld P, Morgan GJ, Hemminki K, Nilsson B, Catovsky D, Allan JM, Houlston RS. Blood Cancer J 9: 2018 1	10
Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma. Chattopadhyay S, Thomsen H, Yadav P, da Silva Filho MI, Weinhold N, Nöthen MM, Hoffman P, Bertsch U, Huhn S, Morgan GJ, Goldschmidt H, Houlston R, Hemminki K, Försti A. Commun Biol 2: 2019 89	8
Genome-wide association study identifies 30 loci associated with bipolar disorder. Stahl EA, Breen G, Forstner AJ, McQuillin A, Ripke S, Trubetskoy V, Mattheisen M, Wang Y, Coleman JRI, Gaspar HA, de Leeuw CA, Steinberg S, Pavlides JMW, Trzaskowski M, Byrne EM, Pers TH, Holmans PA, Richards AL, Abbott L, Agerbo E, Akil H, Albani D, Alliey-Rodriguez N, Als TD, Anjorin A, Antilla V, Awasthi S, Badner JA, Bækvad-Hansen M, Barchas JD, Bass N, Bauer M, Belliveau R, Bergen SE, Pedersen CB, Bøen E, Boks MP, Boocock J, Budde M, Bunney W, Burmeister M, Bybjerg-Grauholm J, Byerley W, Casas M, Cerrato F, Cervantes P, Chambert K, Charney AW, Chen D, Churchhouse C, Clarke TK, Coryell W, Craig DW, Cruceanu C, Curtis D, Czerski PM, Dale AM, de Jong S, Degenhardt F, Del-Favero J, DePaulo JR, Djurovic S, Dobbyn AL, Dumont A, Elvsåshagen T, Escott-Price V, Fan CC, Fischer SB, Flickinger M, Foroud TM, Forty L, Frank J, Fraser C, Freimer NB, Frisén L, Gade K, Gage D, Garnham J, Giambartolomei C, Pedersen MG, Goldstein J, Gordon SD, Gordon-Smith K, Green EK, Green MJ, Greenwood TA, Grove J, Guan W, Guzman-Parra J, Hamshere ML, Hautzinger M, Heilbronner U, Herms S, Hipolito M, Hoffmann P, Holland D, Huckins L, Jamain S, Johnson JS, Juréus A, Kandaswamy R, Karlsson R, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koller AC, Kupka R, Lavebratt C, Lawrence J, Lawson WB, Leber M, Lee PH, Levy SE, Li JZ, Liu C, Lucae S, Maaser A, MacIntyre DJ, Mahon PB, Maier W, Martinsson L, McCarroll S, McGuffin P, McInnis MG, McKay JD, Medeiros H, Medland SE, Meng F, Milani L, Montgomery GW, Morris DW, Mühleisen TW, Mullins N, Nguyen H, Nievergelt CM, Adolfsson AN, Nwulia EA, O'Donovan C, Loohuis LMO, Ori APS, Oruc L, Ösby U, Perlis RH, Perry A, Pfennig A, Potash JB, Purcell SM, Regeer EJ, Reif A, Reinbold CS, Rice JP, Rivas F, Rivera M, Roussos P, Ruderfer DM, Ryu E, Sánchez-Mora C, Schatzberg AF, Scheftner WA, Schork NJ, Shannon Weickert C, Shehktman T, Shilling PD, Sigurdsson E, Slaney C, Smeland OB, Sobell JL, Søholm Hansen C, Spijker AT, St Clair D, Steffens M, Strauss JS, Streit F, Strohmaier J, Szelinger S, Thompson RC, Thorgeirsson TE, Treutlein J, Vedder H, Wang W, Watson SJ, Weickert TW, Witt SH, Xi S, Xu W, Young AH, Zandi P, Zhang P, Zöllner S, eQTLGen Consortium, BIOS Consortium, Adolfsson R, Agartz I, Alda M, Backlund L, Baune BT, Bellivier F, Berrettini WH, Biernacka JM, Blackwood DHR, Boehnke M, Børglum AD, Corvin A, Craddock N, Daly MJ, Dannlowski U, Esko T, Etain B, Frye M, Fullerton JM, Gershon ES, Gill M, Goes F, Grigoroiu-Serbanescu M, Hauser J, Hougaard DM, Hultman CM, Jones I, Jones LA, Kahn RS, Kirov G, Landén M, Leboyer M, Lewis CM, Li QS, Lissowska J, Martin NG, Mayoral F, McElroy SL, McIntosh AM, McMahon FJ, Melle I, Metspalu A, Mitchell PB, Morken G, Mors O, Mortensen PB, Müller-Myhsok B, Myers RM, Neale BM, Nimgaonkar V, Nordentoft M, Nöthen MM, O'Donovan MC, Oedegaard KJ, Owen MJ, Paciga SA, Pato C, Pato MT, Posthuma D, Ramos-Quiroga JA, Ribasés M, Rietschel M, Rouleau GA, Schalling M, Schofield PR, Schulze TG, Serretti A, Smoller JW, Stefansson H, Stefansson K, Stordal E, Sullivan PF, Turecki G, Vaaler AE, Vieta E, Vincent JB, Werge T, Nurnberger JI, Wray NR, Di Florio A, Edenberg HJ, Cichon S, Ophoff RA, Scott LJ, Andreassen OA, Kelsoe J, Sklar P, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium. Nat Genet 51: 2019 793-803	567
Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes. Kim K, Baik H, Jang CS, Roh JK, Eskin E, Han B. Genome Biol 20: 2019 175	2
Discovering genetic interactions bridging pathways in genome-wide association studies. Fang G, Wang W, Paunic V, Heydari H, Costanzo M, Liu X, Liu X, VanderSluis B, Oately B, Steinbach M, Van Ness B, Schadt EE, Pankratz ND, Boone C, Kumar V, Myers CL. Nat Commun 10: 2019 4274	26