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New models of collaboration in genome-wide association studies: the Genetic Association Information Network
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Citations
Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
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Self-citationA genome-wide association study identifies novel risk loci for type 2 diabetes
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Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
Self-citationA genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Self-citationGenome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Self-citationA Common Allele on Chromosome 9 Associated with Coronary Heart Disease
McPherson, R., Pertsemlidis, A., Kavaslar, N., Stewart, A., Roberts, R., Cox, D. R., Hinds, D. A., Pennacchio, L. A., Tybjaerg-Hansen, A., Folsom, A. R., et al. (2007) · Science · doi:10.1126/science.1142447 · Cited by 1,587
Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes
Finland, G. O. T. 1. D. I., Todd, J. A., the Wellcome Trust Case Control Consortium, Walker, N. M., Cooper, J. D., Smyth, D. J., Downes, K., Plagnol, V., Bailey, R., Nejentsev, S., et al. (2007) · Nature Genetics · doi:10.1038/ng2068 · Cited by 1,456
Replicating genotype–phenotype associations
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Self-citation
Cited by
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
Self-citationFast and accurate genotype imputation in genome-wide association studies through pre-phasing
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J., & Abecasis, G. R. (2012) · Nature Genetics · doi:10.1038/ng.2354 · Cited by 1,737
Self-citationWhy Most Discovered True Associations Are Inflated
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Database resources of the National Center for Biotechnology Information
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A HapMap harvest of insights into the genetics of common disease
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Self-citationMicroduplications of 16p11.2 are associated with schizophrenia
Wellcome Trust Case Control Consortium, McCarthy, S. E., Makarov, V., Kirov, G., Addington, A. M., McClellan, J., Yoon, S., Perkins, D. O., Dickel, D. E., Kusenda, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.474 · Cited by 711
Self-citationA recurrent 16p12.1 microdeletion supports a two-hit model for severe developmental delay
Girirajan, S., Rosenfeld, J. A., Cooper, G. M., Antonacci, F., Siswara, P., Itsara, A., Vives, L., Walsh, T., McCarthy, S. E., Baker, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.534 · Cited by 667
Practical aspects of imputation-driven meta-analysis of genome-wide association studies
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Self-citationPoor replication of candidate genes for major depressive disorder using genome-wide association data
Bosker, F. J., Hartman, C. A., Nolte, I. M., Prins, B. P., Terpstra, P., Posthuma, D., van Veen, T., Willemsen, G., DeRijk, R. H., de Geus, E. J., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.38 · Cited by 309
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Extremely low-coverage sequencing and imputation increases power for genome-wide association studies
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Self-citationNelson, M. R., Bryc, K., King, K. S., Indap, A., Boyko, A. R., Novembre, J., Briley, L. P., Maruyama, Y., Waterworth, D. M., Waeber, G., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.08.005 · Cited by 293
The Psychiatric GWAS Consortium: Big Science Comes to Psychiatry
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Yu, Y., Bhangale, T. R., Fagerness, J., Ripke, S., Thorleifsson, G., Tan, P. L., Souied, E. H., Richardson, A. J., Merriam, J. E., Buitendijk, G. H. S., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr270 · Cited by 254
“Samples and associated phenotype data for the Genome-Wide Association of Schizophrenia Study were provided by the Molecular Genetics of Schizophrenia Collaboration (PI: Pablo V. Gejman, Evanston Northwestern Healthcare (ENH) and Northwestern University, Evanston, IL, USA).”
MethodInfluentialSelf-citationMolecular genetics of attention-deficit/hyperactivity disorder: an overview
Banaschewski, T., Becker, K., Scherag, S., Franke, B., & Coghill, D. (2010) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-010-0090-z · Cited by 252
The tension between data sharing and the protection of privacy in genomics research
Kaye, J. (2012) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082410-101454 · Cited by 240
Correlated genotypes in friendship networks
Fowler, J. H., Settle, J. E., & Christakis, N. A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011687108 · Cited by 188
Mansour, H. A., Talkowski, M. E., Wood, J., Chowdari, K. V., McClain, L., Prasad, K., Montrose, D., Fagiolini, A., Friedman, E. S., Allen, M. H., et al. (2009) · Bipolar Disorders · doi:10.1111/j.1399-5618.2009.00756.x · Cited by 161
Im, H. K., Gamazon, E. R., Nicolae, D. L., & Cox, N. J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.02.008 · Cited by 103
Genomics and Cardiovascular Drug Development
Plump, A. S., & Lum, P. Y. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.11.050 · Cited by 31
Genomic and Proteomic Analysis of Myocarditis and Dilated Cardiomyopathy
Cooper, L. T., Onuma, O. K., Sagar, S., Oberg, A. L., Mahoney, D. W., Asmann, Y. W., & Liu, P. (2010) · Heart Failure Clinics · doi:10.1016/j.hfc.2009.08.012 · Cited by 30
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Metadata
- Authors
- The GAIN Collaborative Research Group
- Venue
- Nature Genetics
- Published
- 2007-08-29
- Volume
- 39
- Issue
- 9
- Pages
- 1045-1051
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2029101308
- Cited by
- 318
- References
- 8
- FWCI
- 25.62
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
