PharmVar GeneFocus: SLCO1B1.
Laura B RamseyLi GongSeung-Been LeeJonathan B WagnerXujia ZhouKatrin SangkuhlSolomon M AdamsRobert J StrakaPhilip E EmpeyErin C BooneTeri E KleinMikko NiemiAndrea GaedigkPublished in: Clinical pharmacology and therapeutics (2022)
The Pharmacogene Variation Consortium (PharmVar) is now providing star (*) allele nomenclature for the highly polymorphic human SLCO1B1 gene encoding the organic anion transporting polypeptide 1B1 (OATP1B1) drug transporter. Genetic variation within the SLCO1B1 gene locus impacts drug transport, which can lead to altered pharmacokinetic profiles of several commonly prescribed drugs. Variable OATP1B1 function is of particular importance regarding hepatic uptake of statins and the risk of statin-associated musculoskeletal symptoms. To introduce this important drug transporter gene into the PharmVar database and serve as a unified reference of haplotype variation moving forward, an international group of gene experts has performed an extensive review of all published SLCO1B1 star alleles. Previously published star alleles were self-assigned by authors and only loosely followed the star nomenclature system that was first developed for cytochrome P450 genes. This nomenclature system has been standardized by PharmVar and is now applied to other important pharmacogenes such as SLCO1B1. In addition, data from the 1000 Genomes Project and investigator-submitted data were utilized to confirm existing haplotypes, fill knowledge gaps, and/or define novel star alleles. The PharmVar-developed SLCO1B1 nomenclature has been incorporated by the Clinical Pharmacogenetics Implementation Consortium (CPIC) 2022 guideline on statin-associated musculoskeletal symptoms.
Keyphrases
- genome wide
- genome wide identification
- copy number
- cardiovascular disease
- healthcare
- endothelial cells
- adverse drug
- coronary artery disease
- electronic health record
- quality improvement
- primary care
- gene expression
- physical activity
- sleep quality
- artificial intelligence
- depressive symptoms
- pluripotent stem cells
- low density lipoprotein
- bioinformatics analysis