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Peter Holmans

Professor Peter Holmans

Professor, Division of Psychological Medicine and Clinical Neurosciences

School of Medicine

Email
HolmansPA@cardiff.ac.uk
Telephone
+44 29206 88427
Campuses
Hadyn Ellis Building, Room 2.09, Maindy Road, Cardiff, CF24 4HQ

Overview

Development of novel statistical methodology for genome-wide linkage and association analysis of complex genetic traits. Application of these methods to large datasets collected by members of the IRG and external collaborators.

Publication

2024

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Research

I am Professor of Biostatistics & Genetic Epidemiology in the Biostatistics & Bioinformatics Unit (BBU) in the Wales College of Medicine, Cardiff University, UK, and direct the research in statistical genetics carried out by the BBU. The BBU has close links with several departments carrying out large-scale linkage and association studies of complex traits. These include studies of schizophrenia, bipolar disorder, late-onset Alzheimer's disease, ADHD and dyslexia currently being carried out in the Department of Psychological Medicine. I work with numerous international collaborators, notably Prof Doug Levinson (Stanford University, USA), studying schizophrenia and recurrent major depression. Over the past 5 years, BBU members have been authors on over 150 peer-reviewed papers, and named applicants on awarded grants totalling over £8 million.

I have a long-standing interest in the analysis of genome-wide linkage and association studies of complex genetic traits. I have also recently become involved in the analysis of gene expression data, in genome-wide linkage and association studies to find eQTLs relevant to disease. I have taken an active role in developing novel statistical methodology for linkage and association analysis of complex genetic traits, notably in the use of covariates in linkage and association studies, and the effects of genotyping error on genetic studies. Currently, I am particularly interested in the analysis of functional pathways in genome-wide association, CNV and gene expression data.