{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Derks EM"],"funding":["Stichting Volksbond Rotterdam","NIMH NIH HHS","National Institutes of Health"],"pagination":["360-368"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5403879"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["47(3)"],"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<sub>ST</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<sub>ST</sub> between the ancestral European and African populations. Type-II error rate was investigated for a SNP characterized by a high value of F<sub>ST</sub>. In all tests, genomic MDS components were included to correct for population strati"],"journal":["Behavior genetics"],"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."],"pmcid":["PMC5403879"],"funding_grant_id":["R01 MH101820","MH101820","MH090937","R01 MH090937"],"pubmed_authors":["Gamazon ER","Derks EM","Zwinderman AH"],"additional_accession":[]},"is_claimable":false,"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.","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<sub>ST</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<sub>ST</sub> between the ancestral European and African populations. Type-II error rate was investigated for a SNP characterized by a high value of F<sub>ST</sub>. In all tests, genomic MDS components were included to correct for population strati","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 May","modification":"2025-04-05T12:54:58.891Z","creation":"2019-06-06T17:22:08Z"},"accession":"S-EPMC5403879","cross_references":{"pubmed":["28185111"],"doi":["10.1007/s10519-017-9837-3"]}}