The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
A General Framework for Detecting Disease Associations with Rare Variants in Sequencing Studies
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Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
(2001) · Statistics for Psychologists · doi:10.4324/9781410605542-11 · Cited by 6,877
SIFT: predicting amino acid changes that affect protein function
Ng, P. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg509 · Cited by 6,577
Bootstrap Methods and Their Application
Loughin, T. M., Davison, A. C., & Hinkley, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,418
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
The Robust Inference for the Cox Proportional Hazards Model
Lin, D. Y., & Wei, L. J. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478874 · Cited by 2,695
Self-citationRare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
Wu, M. C., Lee, S., Cai, T., Li, Y., Boehnke, M., & Lin, X. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.05.029 · Cited by 2,356
Li, B., & Leal, S. M. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.06.024 · Cited by 1,527
Cited by
Loss-of-Function Mutations in APOC3, Triglycerides, and Coronary Disease
The TG and HDL Working Group of the Exome Sequencing Project, N. H. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1307095 · Cited by 1,071
Lee, S., Emond, M. J., Bamshad, M. J., Barnes, K. C., Rieder, M. J., Nickerson, D. A., Christiani, D. C., Wurfel, M. M., & Lin, X. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.06.007 · Cited by 1,066
Rare-Variant Association Analysis: Study Designs and Statistical Tests
Lee, S., Abecasis, G. R., Boehnke, M., & Lin, X. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.06.009 · Cited by 1,042
The Next-Generation Sequencing Revolution and Its Impact on Genomics
Koboldt, D. C., Steinberg, K. M., Larson, D. E., Wilson, R. K., & Mardis, E. R. (2013) · Cell · doi:10.1016/j.cell.2013.09.006 · Cited by 1,037
Statistical power and significance testing in large-scale genetic studies
Sham, P. C., & Purcell, S. M. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3706 · Cited by 573
Metadata
- Authors
- Lin, D.-Y., & Tang, Z.-Z.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 89
- Issue
- 3
- Pages
- 354-367
- ISSN
- 0002-9297 (ISSN-L)
- OpenAlex
- W2059744149
- Cited by
- 273
- References
- 32
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Lin, D.-Y., & Tang, Z.-Z. (2011). A General Framework for Detecting Disease Associations with Rare Variants in Sequencing Studies. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2011.07.015
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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.
