An exploration of genetic association tests for disease risk and age at onset-Reference-Cited by-同舟云学术

An exploration of genetic association tests for disease risk and age at onset

Published:2020-10-19 Issue:3 Volume:45 Page:249-279
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Martin Eden R.¹²^ORCID,Gao Xiaoyi R.³,Li Yi‐Ju⁴⁵^ORCID

Affiliation:

1. John P. Hussman Institute for Human Genetics, Miller School of Medicine University of Miami Miami Florida USA

2. John T. MacDonald Department of Human Genetics, Miller School of Medicine University of Miami Miami Florida USA

3. Departments of Ophthalmology and Visual Science, Department of Biomedical Informatics, Division of Human Genetics The Ohio State University Columbus Ohio USA

4. Duke Molecular Physiology Institute, School of Medicine Duke University Durham North Carolina USA

5. Department of Biostatistics and Bioinformatics, School of Medicine Duke University Durham North Carolina USA

Funder

National Institute on Aging

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22368

Reference19 articles.

1. Twopm: Two-Part Models

2. Parkinson's disease age at onset genome‐wide association study: Defining heritability, genetic loci, and α‐synuclein mechanisms

3. Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer's Disease in Late Onset Families

4. Genome-Wide Association Study Confirms SNPs inSNCAand theMAPTRegion as Common Risk Factors for Parkinson Disease

5. Genome-wide association study of the age of onset of childhood asthma

Cited by 3 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. Evidence of survival bias in the association between APOE-Є4 and age at ischemic stroke onset;Frontiers in Genetics;2024-09-02

2. Evidence of survival bias in the association betweenAPOE-Є4and age of ischemic stroke onset;2023-12-01

3. Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction;Scientific Reports;2023-01-09