A gene based combination test using GWAS summary data
Abstract Background Gene-based association tests provide a useful alternative and complement to the usual single marker association tests, especially in genome-wide association studies (GWAS). The way of weighting for variants in a gene plays an important role in boosting the power of a gene-based a...
Main Authors: | Jianjun Zhang, Xiaoyu Liang, Samantha Gonzales, Jianguo Liu, Xiaoyi Raymond Gao, Xuexia Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-01-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-022-05114-x |
Similar Items
-
Statistical Testing on Prediction of Software Defects
by: Satya Srinivas Maddipati, et al.
Published: (2018-09-01) -
Noise Enhancement for Weighted Sum of Type I and II Error Probabilities with Constraints
by: Shujun Liu, et al.
Published: (2017-06-01) -
Rediscovering a Little Known Fact about the t-test and the F-test: Algebraic, Geometric, Distributional and Graphical Considerations
by: Jennifer A. Sinnott, et al.
Published: (2023-04-01) -
Covariate adjusted nonparametric methods under propensity analysis
by: Jiabu Ye, et al.
Published: (2024-03-01) -
Long-Term Prognostic Value of Automated Measurements in Nuclear Cardiology: Comparisons with Expert Scoring
by: George Angelidis, et al.
Published: (2023-09-01)