<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Wei CY</submitter><pubmed_abstract>Incorporating pharmacogenetics into clinical practice promises to improve therapeutic outcomes by optimizing drug selection and dosage based on genetic factors affecting drug response. A key advantage of PGx-guided therapy is to decrease the likelihood of adverse events. To evaluate the clinical impact of PGx risk variants, we performed a retrospective study using genetic and clinical data from the largest Han Chinese cohort, comprising 486,956 individuals, assembled by the Taiwan Precision Medicine Initiative. We found that nearly all participants carried at least one genetic variant that could affect drug response, with many carrying multiple risk variants. Here we show the detailed analyses of four gene-drug pairs, azathioprine (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9</pubmed_abstract><journal>Nature communications</journal><pagination>6344</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12241563</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Clinical impact of pharmacogenetic risk variants in a large chinese cohort.</pubmed_title><pmcid>PMC12241563</pmcid><pubmed_authors>Chang TC</pubmed_authors><pubmed_authors>Chen PY</pubmed_authors><pubmed_authors>Chiang HS</pubmed_authors><pubmed_authors>Tarng DC</pubmed_authors><pubmed_authors>Li PF</pubmed_authors><pubmed_authors>Hong TC</pubmed_authors><pubmed_authors>Chen HH</pubmed_authors><pubmed_authors>Chang CH</pubmed_authors><pubmed_authors>Kwok PY</pubmed_authors><pubmed_authors>Liu YM</pubmed_authors><pubmed_authors>Chang CC</pubmed_authors><pubmed_authors>Chiu MC</pubmed_authors><pubmed_authors>Su CW</pubmed_authors><pubmed_authors>Hu CJ</pubmed_authors><pubmed_authors>Chen HC</pubmed_authors><pubmed_authors>Chang SJ</pubmed_authors><pubmed_authors>Yeh EC</pubmed_authors><pubmed_authors>Tsai MF</pubmed_authors><pubmed_authors>Wu DC</pubmed_authors><pubmed_authors>Chang SM</pubmed_authors><pubmed_authors>Sin J</pubmed_authors><pubmed_authors>Chu P</pubmed_authors><pubmed_authors>Lu CL</pubmed_authors><pubmed_authors>Chan L</pubmed_authors><pubmed_authors>Hwang JJ</pubmed_authors><pubmed_authors>Wang YF</pubmed_authors><pubmed_authors>Lin TK</pubmed_authors><pubmed_authors>Tsai MT</pubmed_authors><pubmed_authors>Chang JH</pubmed_authors><pubmed_authors>Kan JY</pubmed_authors><pubmed_authors>Lin LY</pubmed_authors><pubmed_authors>Tung H</pubmed_authors><pubmed_authors>Yang SF</pubmed_authors><pubmed_authors>Tsui K</pubmed_authors><pubmed_authors>Yen TT</pubmed_authors><pubmed_authors>Lee CW</pubmed_authors><pubmed_authors>Kuo HC</pubmed_authors><pubmed_authors>Wei CY</pubmed_authors><pubmed_authors>Wu JY</pubmed_authors><pubmed_authors>Kao HL</pubmed_authors><pubmed_authors>Yang HC</pubmed_authors><pubmed_authors>Peng YC</pubmed_authors><pubmed_authors>Chien CC</pubmed_authors><pubmed_authors>Lan KH</pubmed_authors><pubmed_authors>Lai JH</pubmed_authors><pubmed_authors>Cheng HT</pubmed_authors><pubmed_authors>Lee SL</pubmed_authors><pubmed_authors>Hsieh YC</pubmed_authors><pubmed_authors>Tsai CT</pubmed_authors><pubmed_authors>Su SC</pubmed_authors><pubmed_authors>Chang TY</pubmed_authors><pubmed_authors>Tsai CL</pubmed_authors><pubmed_authors>Liu YT</pubmed_authors><pubmed_authors>Tsai CK</pubmed_authors><pubmed_authors>Fann CS</pubmed_authors><pubmed_authors>Ling SZ</pubmed_authors><pubmed_authors>Wang SJ</pubmed_authors><pubmed_authors>Chang LC</pubmed_authors><pubmed_authors>Fuh JL</pubmed_authors><pubmed_authors>Liou MS</pubmed_authors><pubmed_authors>Wang SP</pubmed_authors><pubmed_authors>Li LH</pubmed_authors><pubmed_authors>Yao TC</pubmed_authors><pubmed_authors>Mao CL</pubmed_authors><pubmed_authors>Huang CC</pubmed_authors><pubmed_authors>Lin YW</pubmed_authors><pubmed_authors>Huang CF</pubmed_authors><pubmed_authors>Lin YK</pubmed_authors><pubmed_authors>Li CP</pubmed_authors><pubmed_authors>Wu YF</pubmed_authors><pubmed_authors>Chiu YL</pubmed_authors><pubmed_authors>Sheu CC</pubmed_authors><pubmed_authors>Luo SF</pubmed_authors><pubmed_authors>Li CC</pubmed_authors><pubmed_authors>Kuo CF</pubmed_authors><pubmed_authors>Ma GC</pubmed_authors><pubmed_authors>Cheng CK</pubmed_authors><pubmed_authors>Kao KJ</pubmed_authors><pubmed_authors>Chan TM</pubmed_authors><pubmed_authors>Lai CH</pubmed_authors><pubmed_authors>Chen CD</pubmed_authors><pubmed_authors>Chen SS</pubmed_authors><pubmed_authors>Chen CH</pubmed_authors><pubmed_authors>Chen KM</pubmed_authors><pubmed_authors>Wen MS</pubmed_authors><pubmed_authors>Jeng JS</pubmed_authors><pubmed_authors>Chen SP</pubmed_authors><pubmed_authors>Lin YF</pubmed_authors><pubmed_authors>Yen HC</pubmed_authors><pubmed_authors>Huang CY</pubmed_authors><pubmed_authors>Hung CF</pubmed_authors><pubmed_authors>Chen SC</pubmed_authors><pubmed_authors>Lu HJ</pubmed_authors><pubmed_authors>Hsiao TH</pubmed_authors><pubmed_authors>Yu JJ</pubmed_authors><pubmed_authors>Chuang HP</pubmed_authors><pubmed_authors>Hsu CY</pubmed_authors><pubmed_authors>Lee YC</pubmed_authors><pubmed_authors>Lin KT</pubmed_authors><pubmed_authors>Huang YH</pubmed_authors><pubmed_authors>Yang LJ</pubmed_authors><pubmed_authors>Lin CM</pubmed_authors><pubmed_authors>Liao YJ</pubmed_authors><pubmed_authors>Hsiao SM</pubmed_authors><pubmed_authors>Hsiao BY</pubmed_authors><pubmed_authors>Lin CH</pubmed_authors><pubmed_authors>Huang YT</pubmed_authors><pubmed_authors>Lin JC</pubmed_authors><pubmed_authors>Tang SE</pubmed_authors><pubmed_authors>Chang YL</pubmed_authors><pubmed_authors>Lee WJ</pubmed_authors><pubmed_authors>Huo TI</pubmed_authors><pubmed_authors>Chen YT</pubmed_authors><pubmed_authors>Chen IC</pubmed_authors><pubmed_authors>Chen YJ</pubmed_authors><pubmed_authors>Sheen YJ</pubmed_authors><pubmed_authors>Chen YM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical impact of pharmacogenetic risk variants in a large chinese cohort.</name><description>Incorporating pharmacogenetics into clinical practice promises to improve therapeutic outcomes by optimizing drug selection and dosage based on genetic factors affecting drug response. A key advantage of PGx-guided therapy is to decrease the likelihood of adverse events. To evaluate the clinical impact of PGx risk variants, we performed a retrospective study using genetic and clinical data from the largest Han Chinese cohort, comprising 486,956 individuals, assembled by the Taiwan Precision Medicine Initiative. We found that nearly all participants carried at least one genetic variant that could affect drug response, with many carrying multiple risk variants. Here we show the detailed analyses of four gene-drug pairs, azathioprine (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-06-06T13:46:46.629Z</modification><creation>2026-05-31T03:10:18.976Z</creation></dates><accession>S-EPMC12241563</accession><cross_references><pubmed>40634300</pubmed><doi>10.1038/s41467-025-61644-x</doi></cross_references></HashMap>