Association screening of common and rare genetic variants by penalized regression-Reference-Cited by-同舟云学术

Association screening of common and rare genetic variants by penalized regression

Published:2010-08-06 Issue:19 Volume:26 Page:2375-2382
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:Bioinformatics

Author:

Zhou H.,Sehl M. E.,Sinsheimer J. S.,Lange K.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/26/19/2375/620158/btq448.pdf

Reference28 articles.

1. Multiple Rare Nonsynonymous Variants in the Adenomatous Polyposis Coli Gene Predispose to Colorectal Adenomas

2. The genetic attributable risk of breast and ovarian cancer

3. Multiple Rare Alleles Contribute to Low Plasma Levels of HDL Cholesterol

4. Analysis of North American Rheumatoid Arthritis Consortium data using a penalized logistic regression approach

5. Heterogeneity in the severity of cystic fibrosis and the role of CFTR gene mutations

Cited by 114 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. New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits;BMC Bioinformatics;2023-10-10

2. Weighted Selection Probability to Prioritize Susceptible Rare Variants in Multi-Phenotype Association Studies with Application to a Soybean Genetic Data Set;Journal of Computational Biology;2023-10-01

3. Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations;Briefings in Bioinformatics;2023-09-22

4. A pyroptosis-related gene signature that predicts immune infiltration and prognosis in colon cancer;Frontiers in Oncology;2023-07-12

5. Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores;Journal of the Royal Statistical Society Series C: Applied Statistics;2023-05-12