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A Subset-Based Approach Improves Power and Interpretation for the Combined Analysis of Genetic Association Studies of Heterogeneous Traits
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Cites
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Self-citationQUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1
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Genome-wide association study of prostate cancer identifies a second risk locus at 8q24
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Cited by
Benefits and limitations of genome-wide association studies
Tam, V., Patel, N., Turcotte, M., Bossé, Y., Paré, G., & Meyre, D. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0127-1 · Cited by 2,092
Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders
Lee, P. H., Anttila, V., Won, H., Feng, Y.-C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.11.020 · Cited by 1,381
“To detect secondary signals independent of index SNP in each of the candidate cross-disorder loci, conditional analysis was performed with GCTA-COJO (Yang et al., 2012) using meta-analysis summary statistics from ASSET.”
MethodInfluentialPleiotropy in complex traits: challenges and strategies
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M., & Smoller, J. W. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3461 · Cited by 1,085
The International IBD Genetics Consortium (IIBDGC), Ellinghaus, D., International Genetics of Ankylosing Spondylitis Consortium (IGAS), International PSC Study Group (IPSCSG), Genetic Analysis of Psoriasis Consortium (GAPC), Psoriasis Association Genetics Extension (PAGE), Jostins, L., Spain, S. L., Cortes, A., Bethune, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3528 · Cited by 751
Meta-analysis methods for genome-wide association studies and beyond
Evangelou, E., & Ioannidis, J. P. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3472 · Cited by 596
Metadata
- Authors
- Bhattacharjee, S., Rajaraman, P., Jacobs, K. B., Wheeler, W. A., Melin, B. S., Hartge, P., Yeager, M., Chung, C. C., Chanock, S. J., & Chatterjee, N.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 90
- Issue
- 5
- Pages
- 821-835
- ISSN
- 0002-9297 (ISSN-L)
- OpenAlex
- W2022815972
- Cited by
- 253
- References
- 57
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 444 d)
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- CoChat. (2026). Citation check: A Subset-Based Approach Improves Power and Interpretation for the Combined Analysis of Genetic Association Studies of Heterogeneous Traits. https://app.cochat.ai/papers/10.1016/j.ajhg.2012.03.015
- The paper
- Bhattacharjee, S., Rajaraman, P., Jacobs, K. B., Wheeler, W. A., Melin, B. S., Hartge, P., Yeager, M., Chung, C. C., Chanock, S. J., & Chatterjee, N. (2012). A Subset-Based Approach Improves Power and Interpretation for the Combined Analysis of Genetic Association Studies of Heterogeneous Traits. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2012.03.015
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.