Contact information
Gavin Band
Analysis team
Gavin works as a statistician on the large dataset collected by the MalariaGEN consortium for the purpose of genome-wide association studies in human malaria. This dataset represents not only a huge opportunity for discovery, but also a great statistical and bioinformatic challenge; Gavin spends most of his time grappling with these challenges.
Gavin's PhD is in mathematics and he has spent time as a postdoc as well as working in industry as a software engineer. He began work in genetics joining the WTCCC2 large-scale genome-wide association study in 2009, before moving to the MalariaGEN group in 2011.
Recent publications
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Using de novo assembly to identify structural variation of complex immune system gene regions
Journal article
Zhang J-Y. et al, (2021)
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The ferroportin Q248H mutation protects from anemia, but not malaria or bacteremia.
Journal article
Muriuki JM. et al, (2019), Science advances, 5
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Bayesian meta-analysis across genome-wide association studies of diverse phenotypes.
Journal article
Trochet H. et al, (2019), Genetic epidemiology, 43, 532 - 547
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New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania
Journal article
Malaria Genomic Epidemiology Network None. et al, (2019)
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The UK Biobank resource with deep phenotyping and genomic data
Journal article
Bycroft C. et al, (2018), Nature, 562, 203 - 209