{"doi":"10.1111/cts.70194","title":"Perspectives on Using Pharmacogenomics to Guide Tobacco Cessation: Survey Results From an American Indian Community","abstract":"Pharmacogenomics research has predominantly focused on populations of European ancestry, limiting the application to diverse populations such as American Indian and Alaska Native (AIAN) communities. Our community-centric study aims to understand perspectives on utilizing pharmacogenomics to guide tobacco cessation in an AIAN community using a survey with qualitative and quantitative components. We assessed participant (n = 273) tobacco usage and cessation history, pharmacogenomics knowledge, and perceptions of utilizing pharmacogenomics in the context of tobacco cessation. We found that the majority of participants (92%) were aware of the risks associated with tobacco usage and believed it to be a problem within their community (76%). Our results showed that 29% of participants had some level of knowledge regarding pharmacogenomics and only 6% had previously participated in pharmacogenomics research, demonstrating the need for further education and awareness. Community involvement was a priority for participants, with 64% preferring Tribal inclusion in all research stages and 63% favoring partnerships with local health centers. We also found support for future research, with 68% viewing pharmacogenomics as a beneficial tool. Concerns were raised regarding the handling of genetic material and result dissemination, emphasizing the importance of ethical research practices, transparent communication, and community partnership. Our findings serve as a foundation for shaping future research efforts and developing a framework for implementing tobacco cessation interventions. Our community-centered approach addresses the specific needs of this AIAN community and offers insights applicable to research practices within other underserved and marginalized populations, particularly those with a historical distrust of research.","journal":"Clinical and Translational Science","year":2025,"id":543398,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9523,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1433452,"name":"Daniela M. Wall","orcid":null,"position":1,"is_corresponding":false},{"id":1433050,"name":"Susana Mota","orcid":"0000-0002-0799-3629","position":2,"is_corresponding":false},{"id":906130,"name":"Shayna R. Killam","orcid":"0009-0006-7288-5196","position":3,"is_corresponding":false},{"id":906131,"name":"Karen E. Brown","orcid":"0000-0002-9866-3237","position":4,"is_corresponding":false},{"id":1433453,"name":"Kaja M. Aagaard","orcid":null,"position":5,"is_corresponding":false},{"id":1433454,"name":"Juanita Swaney","orcid":null,"position":6,"is_corresponding":false},{"id":906663,"name":"LeeAnna I. Muzquiz","orcid":null,"position":7,"is_corresponding":false},{"id":1433455,"name":"Bernadette N. Corum","orcid":null,"position":8,"is_corresponding":false},{"id":731119,"name":"Katrina G. Claw","orcid":"0000-0003-2239-5018","position":9,"is_corresponding":false},{"id":262349,"name":"Erica L. Woodahl","orcid":"0000-0002-0413-4140","position":10,"is_corresponding":false},{"id":1433451,"name":"Madeline L. Wichman","orcid":null,"position":0,"is_corresponding":true}],"reference_count":28,"raw_metadata":null,"created_at":"2026-07-19T02:53:04.088079Z","pmid":"40078094","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":[]}