<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Derks EM</submitter><funding>Stichting Volksbond Rotterdam</funding><funding>NIMH NIH HHS</funding><funding>National Institutes of Health</funding><pagination>360-368</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5403879</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>47(3)</volume><pubmed_abstract>Population divergence impacts the degree of population stratification in Genome Wide Association Studies. We aim to: (i) investigate type-I error rate as a function of population divergence (F&lt;sub>ST&lt;/sub>) in multi-ethnic (admixed) populations; (ii) evaluate the statistical power and effect size estimates; and (iii) investigate the impact of population stratification on the results of gene-based analyses. Quantitative phenotypes were simulated. Type-I error rate was investigated for Single Nucleotide Polymorphisms (SNPs) with varying levels of F&lt;sub>ST&lt;/sub> between the ancestral European and African populations. Type-II error rate was investigated for a SNP characterized by a high value of F&lt;sub>ST&lt;/sub>. In all tests, genomic MDS components were included to correct for population strati</pubmed_abstract><journal>Behavior genetics</journal><pubmed_title>The Relation Between Inflation in Type-I and Type-II Error Rate and Population Divergence in Genome-Wide Association Analysis of Multi-Ethnic Populations.</pubmed_title><pmcid>PMC5403879</pmcid><funding_grant_id>R01 MH101820</funding_grant_id><funding_grant_id>MH101820</funding_grant_id><funding_grant_id>MH090937</funding_grant_id><funding_grant_id>R01 MH090937</funding_grant_id><pubmed_authors>Gamazon ER</pubmed_authors><pubmed_authors>Derks EM</pubmed_authors><pubmed_authors>Zwinderman AH</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Relation Between Inflation in Type-I and Type-II Error Rate and Population Divergence in Genome-Wide Association Analysis of Multi-Ethnic Populations.</name><description>Population divergence impacts the degree of population stratification in Genome Wide Association Studies. We aim to: (i) investigate type-I error rate as a function of population divergence (F&lt;sub>ST&lt;/sub>) in multi-ethnic (admixed) populations; (ii) evaluate the statistical power and effect size estimates; and (iii) investigate the impact of population stratification on the results of gene-based analyses. Quantitative phenotypes were simulated. Type-I error rate was investigated for Single Nucleotide Polymorphisms (SNPs) with varying levels of F&lt;sub>ST&lt;/sub> between the ancestral European and African populations. Type-II error rate was investigated for a SNP characterized by a high value of F&lt;sub>ST&lt;/sub>. In all tests, genomic MDS components were included to correct for population strati</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 May</publication><modification>2025-04-05T12:54:58.891Z</modification><creation>2019-06-06T17:22:08Z</creation></dates><accession>S-EPMC5403879</accession><cross_references><pubmed>28185111</pubmed><doi>10.1007/s10519-017-9837-3</doi></cross_references></HashMap>