Menu
Currency
GWAS Study

Pharmacokinetics and pharmacogenomics of clozapine in an ancestrally diverse sample: a longitudinal analysis and genome-wide association study using UK clinical monitoring data.

Pardiñas AF, Kappel DB, Roberts M et al.

36804072 PubMed ID
GWAS Study Type
4495 Participants
77 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PA
Pardiñas AF
KD
Kappel DB
RM
Roberts M
TF
Tipple F
SL
Shitomi-Jones LM
KA
King A
JJ
Jansen J
HM
Helthuis M
OM
Owen MJ
OM
O'Donovan MC
WJ
Walters JTR
Chapter II

Abstract

Summary of the research findings

The antipsychotic, clozapine, is the only licensed drug against the treatment-resistant symptoms that affect 20-30% of people with schizophrenia. Clozapine is markedly underprescribed, partly because of concerns about its narrow therapeutic range and adverse drug reaction profile. Both concerns are linked to drug metabolism, which varies across populations globally and is partly genetically determined. Our study aimed to use a cross-ancestry genome-wide association study (GWAS) design to investigate variations in clozapine metabolism within and between genetically inferred ancestral backgrounds, to discover genomic associations to clozapine plasma concentrations, and to assess the effects of pharmacogenomic predictors across different ancestries.

3,677 European ancestry individuals, 243 Sub-Saharan African ancestry individuals, 122 Greater Middle Eastern (Middle Eastern, North African or Persian) individuals, 244 South Asian ancestry individuals, 41 East Asian ancestry individuals, 168 NR ancestry, Other admixed ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

4495
Total Participants
GWAS
Study Type
No
Replicated
European, Sub-Saharan African, Greater Middle Eastern (Middle Eastern, North African or Persian), South Asian, East Asian, NR, Other admixed ancestry
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.