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Nam, Dougu
Bioinformatics Lab
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  • Gene network, pathway analysis, biclustering, disease classification

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Powerful p-value combination methods to detect incomplete association

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dc.contributor.author Yoon, Sora ko
dc.contributor.author Baik, Bukyung ko
dc.contributor.author Park, Taesung ko
dc.contributor.author Nam, Dougu ko
dc.date.available 2021-04-29T07:48:48Z -
dc.date.created 2021-04-27 ko
dc.date.issued 2021-03 ko
dc.identifier.citation SCIENTIFIC REPORTS, v.11, no.1, pp.6980 ko
dc.identifier.issn 2045-2322 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/52790 -
dc.description.abstract Meta-analyses increase statistical power by combining statistics from multiple studies. Meta-analysis methods have mostly been evaluated under the condition that all the data in each study have an association with the given phenotype. However, specific experimental conditions in each study or genetic heterogeneity can result in "unassociated statistics" that are derived from the null distribution. Here, we show that power of conventional meta-analysis methods rapidly decreases as an increasing number of unassociated statistics are included, whereas the classical Fisher's method and its weighted variant (wFisher) exhibit relatively high power that is robust to addition of unassociated statistics. We also propose another robust method based on joint distribution of ordered p-values (ordmeta). Simulation analyses for t-test, RNA-seq, and microarray data demonstrated that wFisher and ordmeta, when only a small number of studies have an association, outperformed existing meta-analysis methods. We performed meta-analyses of nine microarray datasets (prostate cancer) and four association summary datasets (body mass index), where our methods exhibited high biological relevance and were able to detect genes that the-state-of-the-art methods missed. The metapro R package that implements the proposed methods is available from both CRAN and GitHub (http://github.com/unistbig/metapro). ko
dc.language 영어 ko
dc.publisher NATURE RESEARCH ko
dc.title Powerful p-value combination methods to detect incomplete association ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85103545659 ko
dc.identifier.wosid 000635233700005 ko
dc.type.rims ART ko
dc.identifier.doi 10.1038/s41598-021-86465-y ko
dc.identifier.url https://www.nature.com/articles/s41598-021-86465-y ko
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