{"doi":"10.1111/cea.14007","title":"A polygenic risk score for asthma in a large racially diverse population","abstract":"BACKGROUND: Polygenic risk scores (PRSs) will have important utility for asthma and other chronic diseases as a tool for predicting disease incidence and subphenotypes. OBJECTIVE: We utilized findings from a large multiancestry GWAS of asthma to compute a PRS for asthma with relevance for racially diverse populations. METHODS: We derived two PRSs for asthma using a standard approach (based on genome-wide significant variants) and a lasso sum regression approach (allowing all genetic variants to potentially contribute). We used data from the racially diverse Kaiser Permanente GERA cohort (68 638 non-Hispanic Whites, 5874 Hispanics, 6870 Asians and 2760 Blacks). Race was self-reported by questionnaire. RESULTS: For the standard PRS, non-Hispanic Whites showed the highest odds ratio for a standard deviation increase in PRS for asthma (OR = 1.16 (95% CI 1.14-1.18)). The standard PRS was also associated with asthma in Hispanic (OR = 1.12 (95% CI 1.05-1.19)) and Asian (OR = 1.10 (95% CI 1.04-1.17)) subjects, with a trend towards increased risk in Blacks (OR = 1.05 (95% CI 0.97-1.15)). We detected an interaction by sex, with men showing a higher risk of asthma with an increase in PRS as compared to women. The lasso sum regression-derived PRS showed stronger associations with asthma in non-Hispanic White subjects (OR = 1.20 (95% CI 1.18-1.23)), Hispanics (OR = 1.17 (95% 1.10-1.26)), Asians (OR = 1.18 (95% CI 1.10-1.27)) and Blacks (OR = 1.10 (95% CI 0.99-1.22)). CONCLUSION: Polygenic risk scores across multiple racial/ethnic groups were associated with increased asthma risk, suggesting that PRSs have potential as a tool for predicting disease development.","journal":"Clinical & Experimental Allergy","year":2021,"id":164300,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":39,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8925,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":14698,"name":"Sharon M. Lutz","orcid":"0000-0002-1515-9431","position":1,"is_corresponding":false},{"id":5238,"name":"Eric Jorgenson","orcid":"0000-0002-5829-8191","position":2,"is_corresponding":false},{"id":65484,"name":"Carlos Iribarren","orcid":"0000-0001-5622-1839","position":3,"is_corresponding":false},{"id":267136,"name":"Michael J. McGeachie","orcid":"0000-0001-5566-2712","position":4,"is_corresponding":false},{"id":371919,"name":"Amber Dahlin","orcid":"0000-0002-2534-5975","position":5,"is_corresponding":false},{"id":320638,"name":"Kelan G. Tantisira","orcid":"0000-0003-2950-3384","position":6,"is_corresponding":false},{"id":285327,"name":"Rachel S. Kelly","orcid":"0000-0003-3023-1822","position":7,"is_corresponding":false},{"id":218538,"name":"Jessica Lasky‐Su","orcid":"0000-0001-6236-4705","position":8,"is_corresponding":false},{"id":24868,"name":"Phuwanat Sakornsakolpat","orcid":"0000-0002-4308-0974","position":9,"is_corresponding":false},{"id":267133,"name":"Matthew Moll","orcid":"0000-0002-0683-0975","position":10,"is_corresponding":false},{"id":218537,"name":"Michael H. Cho","orcid":"0000-0002-4907-1657","position":11,"is_corresponding":false},{"id":117450,"name":"Ann Chen Wu","orcid":"0000-0003-0599-9063","position":12,"is_corresponding":false},{"id":371920,"name":"Joanne E. Sordillo","orcid":"0000-0002-4966-1796","position":0,"is_corresponding":true}],"reference_count":28,"raw_metadata":null,"created_at":"2026-07-18T23:45:27.031465Z","pmid":"34459047","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":[]}