LEI: A Novel Allele Frequency-Based Feature Selection Method for Multi-ancestry Admixed Populations-Reference-Cited by-同舟云学术

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LEI: A Novel Allele Frequency-Based Feature Selection Method for Multi-ancestry Admixed Populations

Published:2019-07-31 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Wathen Michael J.,Gautam Yadu,Ghandikota Sudhir,Rao Marepalli B.,Mersha Tesfaye B.

Funder

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-47012-y.pdf

Reference45 articles.

1. Ding, L. et al. Comparison of measures of marker informativeness for ancestry and admixture mapping. BMC genomics 12, 622 (2011).

2. Price, A. L., Zaitlen, N. A., Reich, D. & Patterson, N. New approaches to population stratification in genome-wide association studies. Nature reviews. Genetics 11, 459 (2010).

3. Cardon, L. R. & Palmer, L. J. Population stratification and spurious allelic association. Lancet 361, 598–604, https://doi.org/10.1016/S0140-6736(03)12520-2 (2003).

4. Devlin, B. & Roeder, K. Genomic Control for Association Studies. Biometrics 55, 997–1004, https://doi.org/10.1111/j.0006-341X.1999.00997.x (1999).

5. Mersha, T. B. Mapping asthma-associated variants in admixed populations. Front Genet 6, 292, https://doi.org/10.3389/fgene.2015.00292 (2015).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates;2020-05-15

2. MI-MAAP: marker informativeness for multi-ancestry admixed populations;BMC Bioinformatics;2020-04-03

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