2021
DOI: 10.1002/gepi.22439
|View full text |Cite
|
Sign up to set email alerts
|

The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics

Abstract: In this article, we propose the eigen higher criticism and the eigen Berk–Jones testing procedures to test the association between a single genetic variant and multiple correlated traits based on summary statistics from single‐trait genome‐wide association studies. Since the association pattern between each genetic variant and multiple traits varies across the whole genome, we further develop an omnibus (OMNI) test using the aggregated Cauchy association test to achieve more robust performance. The p values of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 37 publications
0
1
0
Order By: Relevance
“…Step 4. Use the cumulants estimation proposed by Zhang (2005) and Li et al (2014) to obtain the parameters of generalized χ 2 distribution . Let , be random samples generated from generalized χ 2 distribution .…”
Section: Methodsmentioning
confidence: 99%
“…Step 4. Use the cumulants estimation proposed by Zhang (2005) and Li et al (2014) to obtain the parameters of generalized χ 2 distribution . Let , be random samples generated from generalized χ 2 distribution .…”
Section: Methodsmentioning
confidence: 99%