<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kawaguchi ES</submitter><funding>National Institute of Environmental Health Sciences</funding><funding>NIEHS NIH HHS</funding><funding>NCI NIH HHS</funding><pagination>152-166</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9974838</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>47(2)</volume><pubmed_abstract>Two-step tests for gene-environment ( G×E$G\times E$ ) interactions exploit marginal single-nucleotide polymorphism (SNP) effects to improve the power of a genome-wide interaction scan. They combine a screening step based on marginal effects used to "bin" SNPs for weighted hypothesis testing in the second step to deliver greater power over single-step tests while preserving the genome-wide Type I error. However, the presence of many SNPs with detectable marginal effects on the trait of interest can reduce power by "displacing" true interactions with weaker marginal effects and by adding to the number of tests that need to be corrected for multiple testing. We introduce a new significance-based allocation into bins for Step-2 G×E$G\times E$ testing that overcomes the displacement issue and </pubmed_abstract><journal>Genetic epidemiology</journal><pubmed_title>Improved two-step testing of genome-wide gene-environment interactions.</pubmed_title><pmcid>PMC9974838</pmcid><funding_grant_id>R01 CA201407</funding_grant_id><funding_grant_id>P01 CA196569</funding_grant_id><funding_grant_id>T32 ES013678</funding_grant_id><funding_grant_id>P30 ES007048</funding_grant_id><pubmed_authors>Kim AE</pubmed_authors><pubmed_authors>Gauderman WJ</pubmed_authors><pubmed_authors>Kawaguchi ES</pubmed_authors><pubmed_authors>Lewinger JP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improved two-step testing of genome-wide gene-environment interactions.</name><description>Two-step tests for gene-environment ( G×E$G\times E$ ) interactions exploit marginal single-nucleotide polymorphism (SNP) effects to improve the power of a genome-wide interaction scan. They combine a screening step based on marginal effects used to "bin" SNPs for weighted hypothesis testing in the second step to deliver greater power over single-step tests while preserving the genome-wide Type I error. However, the presence of many SNPs with detectable marginal effects on the trait of interest can reduce power by "displacing" true interactions with weaker marginal effects and by adding to the number of tests that need to be corrected for multiple testing. We introduce a new significance-based allocation into bins for Step-2 G×E$G\times E$ testing that overcomes the displacement issue and </description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Mar</publication><modification>2025-04-03T23:50:12.006Z</modification><creation>2025-04-03T23:50:12.006Z</creation></dates><accession>S-EPMC9974838</accession><cross_references><pubmed>36571162</pubmed><doi>10.1002/gepi.22509</doi></cross_references></HashMap>