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WTCCC case-control study for Bipolar Disorder - Combined Controls

WTCCC genome-wide case-control association study for Bipolar Disorder (BD) using six disease collections together with 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
EGAD00000000004 1
EGAD00000000005 1
EGAD00000000006 1
EGAD00000000007 1
EGAD00000000008 1
EGAD00000000009 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
5950
Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network.
Genome Med 8: 2016 76
9
Genome-wide association study identifies distinct genetic contributions to prognosis and susceptibility in Crohn's disease.
Nat Genet 49: 2017 262-268
135
Leveraging functional annotations in genetic risk prediction for human complex diseases.
PLoS Comput Biol 13: 2017 e1005589
94
Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction.
PLoS Genet 13: 2017 e1006836
40
Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS.
Pac Symp Biocomput 23: 2018 548-558
1
Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS.
Hum Genet 137: 2018 413-425
6
SumHer better estimates the SNP heritability of complex traits from summary statistics.
Nat Genet 51: 2019 277-284
109
Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes.
Genome Biol 20: 2019 175
3
Discovering genetic interactions bridging pathways in genome-wide association studies.
Nat Commun 10: 2019 4274
40
shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores.
Am J Hum Genet 111: 2024 1006-1017
3
Unveiling new genetic insights in rheumatoid arthritis for drug discovery through Taxonomy3 analysis.
Sci Rep 14: 2024 14153
0
Network medicine-based epistasis detection in complex diseases: ready for quantum computing.
Nucleic Acids Res 52: 2024 10144-10160
0