Related Experiment Video
Updated: May 4, 2026

Author Spotlight: Obtaining High-Quality CSF and Blood Samples for Epilepsy Biomarker Discovery
Published on: September 1, 2023
Statistical methods for examining genetic influences of resistance to anti-epileptic drugs
M Fazil Baksh1, Patrick J Kelly
1Lecturer in Applied Statistics, University of Reading, Quantitative Biology and Applied Statistics, Reading, UK. m.f.baksh@reading.ac.uk.
Abstract:
It is generally accepted that genetics may be an important factor in explaining the variation between patients' responses to certain drugs. However, identification and confirmation of the responsible genetic variants is proving to be a challenge in many cases. A number of difficulties that may be encountered in pursuit of these variants, such as nonreplication of a true effect, population structure and selection bias, can be mitigated or at least reduced by appropriate statistical methodology. Another major statistical challenge facing pharmacogenetic studies is the detection of possible small polygenic effects using large volumes of genetic data, while controlling the number of false-positive signals. Here, we review statistical design and analysis options available for investigations of genetic resistance to anti-epileptic drugs.
Related Concept Videos
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Drug Toxicity: Risk factors
Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein
SV2A is a transmembrane glycoprotein located predominantly in the brain, modulating the release of neurotransmitters for neuronal communication. Both levetiracetam and brivaracetam exhibit a high affinity for...
Analysis of Population Pharmacokinetic Data
Pharmacogenetics of Drug Metabolism: Overview

