{"doi":"10.1002/gepi.20520","title":"Joint testing of genotype and ancestry association in admixed families","abstract":"<jats:title>Abstract</jats:title><jats:p>Current genome‐wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a non‐admixed population. As an alternative, these data can be used to infer chromosomal ancestry, and thus allow for admixture mapping. We quantify the contribution of allele‐based and ancestry‐based association testing under a family‐design, and demonstrate that the two tests can provide non‐redundant information. We propose a joint testing procedure, which efficiently integrates the two sources information. The efficiencies of the allele, ancestry and combined tests are compared in the context of a GWAS. We discuss the impact of population history and provide guidelines for future design and analysis of GWAS in admixed populations. <jats:italic>Genet. Epidemiol</jats:italic>. 34:783‐791, 2010. © 2010 Wiley‐Liss, Inc.</jats:p>","journal":"Genetic Epidemiology","year":2010,"id":19061,"datarank":2.7522839334675897,"base_score":3.970291913552122,"endowment":3.970291913552122,"self_citation_contribution":0.5955437870328184,"citation_network_contribution":2.156740146434771,"self_endowment_contribution":0.5955437870328184,"citer_contribution":2.156740146434771,"corpus_percentile":null,"corpus_rank":null,"citation_count":52,"citer_count":44,"citers_with_citation_signal":35,"citers_with_endowment":35,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":130325,"name":"David O. 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London","orcid":"0000-0003-4911-5290","position":4,"is_corresponding":false},{"id":108738,"name":"Hua Tang","orcid":"0000-0002-0177-8864","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":3.970291913552122,"endowment":3.970291913552122,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21031451","pmcid":"PMC3103820","openalex_id":"https://openalex.org/W2158987779","authors":[],"funders":[{"funder_name":"NHGRI NIH HHS","grant_id":"HG000848","title":null},{"funder_name":"Intramural NIH HHS","grant_id":"ZIA ES025045","title":null},{"funder_name":"Intramural NIH HHS","grant_id":"ZIA ES049019","title":null},{"funder_name":"NIEHS NIH HHS","grant_id":"ES025045","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"R01 GM073059","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"GM073059","title":null},{"funder_name":"NIEHS NIH HHS","grant_id":"ES049019","title":null}],"total_grants":7,"fwci":2.6665,"citation_percentile":0.9073232,"influential_citations":3,"citation_trend":[{"year":2012,"count":2},{"year":2013,"count":6},{"year":2014,"count":4},{"year":2015,"count":3},{"year":2016,"count":4},{"year":2017,"count":5},{"year":2018,"count":1},{"year":2019,"count":3},{"year":2020,"count":1},{"year":2021,"count":2},{"year":2022,"count":3},{"year":2023,"count":7},{"year":2024,"count":2},{"year":2025,"count":2},{"year":2026,"count":1}],"oa_status":"green","license":"http://onlinelibrary.wiley.com/termsAndConditions#vor","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3103820","host_type":"repository"},{"url":"https://europepmc.org/articles/pmc3103820?pdf=render","host_type":"GREEN"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3103820","host_type":"repository"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgepi.20520","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.20520","host_type":"publisher"},{"url":"https://doi.org/10.1002/gepi.20520","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/21031451","host_type":"repository"}],"fields_of_study":["Genetic Associations and Epidemiology","Prenatal Screening and Diagnostics","Genomic variations and chromosomal abnormalities","Medicine","Biology","Alleles","American Indian or Alaska Native","Asthma","Black People","Child","Chromosome Mapping","Chromosomes, Human","Confidence Intervals","Genetics, Population","Genome, Human","Genome-Wide Association Study","Genotype","Humans","Mexican Americans","Parents","White People"],"mesh_terms":["Alleles","Asthma","Child","Chromosome Mapping","Chromosomes, Human","Genetics, Population","Genotype","Humans","Parents","Genome, Human","Confidence Intervals","Mexican Americans","Black People","White People","American Indian or Alaska Native","Genome-Wide Association Study"],"keywords":["Genome-wide association study","Genetic association","Association test","Context (archaeology)","Biology","Genetics","Genotype","Allele","Genetic genealogy","Ancestry-informative marker","Population","Population stratification","Association (psychology)","Multiple comparisons problem","Computational biology","Allele frequency","Evolutionary biology","Single-nucleotide polymorphism","Gene","Statistics","Demography","Mathematics","Psychology"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-04T01:35:05.560593Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}