Jim Wilson
Professor of Human Genetics
- Usher Institute
- MRC Human Genetics Unit
Contact details
Address
- Street
-
Old Medical School,
Teviot Place - City
- Edinburgh
- Post code
- EH8 9AG
Background
Jim Wilson is affiliated both to the Usher Institute and the MRC Human Genetics Unit. Of Fair Isle heritage, he grew up in Orkney where he attended the Kirkwall Grammar School, before reading genetics at the University of Edinburgh. After a year working with Svante Pääbo in Bavaria, Jim went up to New College in Oxford where he completed a DPhil in human population genetics with David Goldstein. Jim moved back to Edinburgh in 2003 after a stint at University College London, to take up a Royal Society University Research Fellowship.
He has published over 230 peer-reviewed articles, 46 of which were in the top genetics journal Nature Genetics, 10 in Nature and 2 in Science. His ISI Web of Science h-index is 72, his m-value 3.7, and he is a Thomson-Reuters highly cited researcher (highlycited.com) from 2014-2017.
Over the last decade Jim led two large genetic epidemiology studies in Orkney and Shetland. These platform resources for health research benefit from rich phenotyping, deep genotyping, a tissue biobank and prospective follow up through record linkage and have contributed to the discovery of over 1000 novel associations. More recently he has initiated a number of international consortia to explore interests in the genetic architecture of complex traits.
Jim is engaged in science communication principally through radio and TV series explaining genetics to the public (e.g. Blood of the Vikings, On the Ocean, Is it better to be mixed race?, Gatwick Baby, British More or Less, Twincredibles, Meet the Izzards, the IFTA-winning Blood of the Irish and Blood of the Travellers, a book and radio series, The Scots, A Genetic Journey) and was involved in the genetic ancestry testing business for over a decade.
Qualifications
-
Bachelor
- 1997 Bachelor of Science (honours), 1st, University of Edinburgh
- Doctorate
- 2002 Doctor of Philosophy, DPhil, University of Oxford
-
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability
In:
Nature Communications, vol. 12, pp. 24
DOI: https://doi.org/10.1038/s41467-020-19366-9
Research output: Contribution to Journal › Article (Published) -
Autozygosity influences cardiometabolic disease-associated traits in the AWI-Gen sub-Saharan African study
In:
Nature Communications, vol. 11, pp. 5754
DOI: https://doi.org/10.1038/s41467-020-19595-y
Research output: Contribution to Journal › Article (Published) -
Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals
In:
Nature Metabolism
DOI: https://doi.org/10.1038/s42255-020-00287-2
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Glycosylation Alterations in Multiple Sclerosis Show Increased Proinflammatory Potential
In:
Biomedicines, vol. 8
DOI: https://doi.org/10.3390/biomedicines8100410
Research output: Contribution to Journal › Article (Published) -
Genetic mechanisms of critical illness in Covid-19
DOI: https://doi.org/10.1101/2020.09.24.20200048
Research output: › Working paper (Published) -
Global variability of the human IgG glycome
In:
Aging, vol. 12
DOI: https://doi.org/10.18632/aging.103884
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Multivariate genomic scan implicates novel loci and haem metabolism in human ageing
In:
Nature Communications, vol. 11, pp. 3570
DOI: https://doi.org/10.1038/s41467-020-17312-3
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits
In:
PLoS Genetics
DOI: https://doi.org/10.1371/journal.pgen.1008785
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies
In:
Scientific Reports, vol. 10, pp. 10486
DOI: https://doi.org/10.1038/s41598-020-67001-w
Research output: Contribution to Journal › Article (Published) -
Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
In:
Nature Communications, vol. 11, pp. 2542
DOI: https://doi.org/10.1038/s41467-020-15706-x
Research output: Contribution to Journal › Article (Published)