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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.

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 Affymetrix 500K 1504
EGAD00000000002 Affymetrix 500K 1500
EGAD00000000003 1
Publications Citations
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.
Nature 447: 2007 661-678
Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies.
PLoS Genet 12: 2016 e1005767
A pilot study on commonality and specificity of copy number variants in schizophrenia and bipolar disorder.
Transl Psychiatry 6: 2016 e824
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma.
Nat Commun 7: 2016 12050
Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network.
Genome Med 8: 2016 76
Leveraging functional annotations in genetic risk prediction for human complex diseases.
PLoS Comput Biol 13: 2017 e1005589
Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction.
PLoS Genet 13: 2017 e1006836
Further investigations of the W-test for pairwise epistasis testing.
Wellcome Open Res 2: 2017 54
Publishing descriptions of non-public clinical datasets: proposed guidance for researchers, repositories, editors and funding organisations.
Res Integr Peer Rev 1: 2016 6
Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS.
Hum Genet 137: 2018 413-425
Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.
Nat Commun 9: 2018 3707
SumHer better estimates the SNP heritability of complex traits from summary statistics.
Nat Genet 51: 2019 277-284
Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology.
Blood Cancer J 9: 2018 1
Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma.
Commun Biol 2: 2019 89
Genome-wide association study identifies 30 loci associated with bipolar disorder.
Nat Genet 51: 2019 793-803
Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes.
Genome Biol 20: 2019 175
Discovering genetic interactions bridging pathways in genome-wide association studies.
Nat Commun 10: 2019 4274