A subregion-based burden test for simultaneous identification of susceptibility loci and subregions within-Reference-Cited by-同舟云学术

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A subregion-based burden test for simultaneous identification of susceptibility loci and subregions within

Published:2018-06-22 Issue:7 Volume:42 Page:673-683
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Zhu Bin¹^ORCID,Mirabello Lisa¹,Chatterjee Nilanjan²³

Affiliation:

1. Division of Cancer Epidemiology and Genetics; National Cancer Institute; National Institute of Health; Bethesda Maryland

2. Department of Biostatistics; Bloomberg School of Public Health; Johns Hopkins University; Baltimore Maryland

3. Department of Oncology; School of Medicine; Johns Hopkins University; Baltimore Maryland

Funder

National Cancer Institute

National Institutes of Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.22134/fullpdf

Reference39 articles.

1. A method and server for predicting damaging missense mutations;Adzhubei;Nature Methods,2010

2. Annotating non-coding regions of the genome;Alexander;Nature Reviews Genetics,2010

3. Rare and coding region genetic variants associated with risk of ischemic stroke the NHLBI exome sequence project;Auer;JAMA Neurology,2015

4. Statistical analysis strategies for association studies involving rare variants;Bansal;Nature Reviews Genetics,2010

5. A subset-based approach improves power and interpretation for the combined analysis of Genetic Association Studies of Heterogeneous Traits;Bhattacharjee;American Journal of Human Genetics,2012

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1. Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma;eBioMedicine;2024-04

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

3. Excalibur: A new ensemble method based on an optimal combination of aggregation tests for rare-variant association testing for sequencing data;PLOS Computational Biology;2023-09-14

4. Whole exome sequencing characterization of individuals presenting extreme phenotypes of high and low risk of developing tobacco-induced lung adenocarcinoma;Translational Lung Cancer Research;2021-03

5. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in Patients With Osteosarcoma;JAMA Oncology;2020-05-01

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