Pharmacogenomics · 2012 · 42 citations · 22 references
Life SciencesGeneticsPharmacologyHypersensitivityPharmacogeneticsPharmacogenomicsGenome-wide Association StudiesPopulation PharmacogeneticsPopulation PharmacogenomicsCommon Genetic VariantsCutaneous Drug ReactionsGenome-wide Association MappingGenome-wide Association Study DesignHla Genotype AssociationsHla-associated Adverse Drug ReactionsLamotrigine TreatmentPhenytoin Therapy
AIMS: An association between carbamazepine-induced hypersensitivity and HLA-A*3101 has been reported in populations of both European and Asian descent. We aimed to investigate HLA-A*3101 and other common variants across the genome as markers for cutaneous adverse drug reactions (cADRs) attributed to lamotrigine and phenytoin. MATERIALS & METHODS: We recruited patients with lamotrigine-induced cADRs (n = 46) and patients with phenytoin-cADRs (n = 44) and the 1958 British birth cohort was used as a control (n = 1296). HLA-A*3101 was imputed from genome-wide association study data. We applied genome-wide association to study lamotrigine- and phenytoin-induced cADR, and total cADR cases combined. RESULTS: Neither HLA-A*3101 nor any other genetic marker significantly predicted lamotrigine- or phenytoin-induced cADRs. CONCLUSION: HLA-A*3101 does not appear to be a predictor for lamotrigine- and phenytoin-induced cADRs in Europeans. Our genome-wide association study results do not support the existence of a clinically relevant common variant for the development of lamotrigine- or phenytoin-induced cADRs. As a predictive marker, HLA-A*3101 appears to be specific for carbamazepine-induced cADRs.
22
Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price, Nick J. Patterson, Robert M. Plenge et al. · Nature Genetics · 2006 · 10.7K citations
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Yun Li, Cristen J. Willer, Jun Ding et al. · Genetic Epidemiology · 2010 · 1.9K citations · Full text
A marker for Stevens–Johnson syndrome
Wen‐Hung Chung, Hong‐Shang Hong, Mo‐Song Hsih et al. · Nature · 2004 · 1.7K citations