Analysis of Corrections Methods in Genome-Wide Association Studies
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Summary
The principle and process of the 4 kinds of multiple correction methods used in GWAS, based on the family-wise error rate (FWER) standard Bonferroni correction method, Holm regression adjustment method, permutation test method and false detection rate (FDR) standard BH method are described in detail.
- Type
- article
- Published
- 2017-04-01
- Cited by
- 1
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W2735472541
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55903969
Keywords
Computer science, Association (psychology), Genome-wide association study, Computational biology, Biology
References
- Type‐II generalized family‐wise error rate formulas with application to sample size determination
- Incorporating the Empirical Null Hypothesis into the Benjamini-Hochberg Procedure
- Effects of mild-warming moxibustion on Bcl-2 and PKC expressions of peripheral blood in elderly people.
- miRNA-dependent target regulation: functional characterization of single-nucleotide polymorphisms identified in genome-wide association studies of Alzheimer’s disease
- De novo post-illumination monoterpene burst in Quercus ilex (holm oak)
- Statistical Evaluation of Labeled Comparative Profiling Proteomics Experiments Using Permutation Test.
- Presentation and care of a family with Huntington disease in a resource-limited community
- Comparison of False Discovery Rate Control Strategies for Variant Peptide Identifications in Shotgun Proteogenomics.
- Performing corneal crosslinking under local anaesthesia in patients with Down syndrome
- Multiple P-values and Bonferroni correction.
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