Identifying genetic variants associated with levels of proteins circulating in blood
Genetics and Genomics
The majority of genetic variants causing common human disease are non-coding. Understanding the non-coding genome and identifying regulatory elements and variants is the next major challenge in human genetics. Circulating protein level data are ideal traits to identify such regions due to their biologically-proximal nature.
We aim use to data from 2924 proteins from blood in 55,000 individuals with whole genome sequencing data to identify regulatory elements and variants affecting protein levels. This will allow us to develop methodology which will be applied to other traits and diseases, providing key insights into the function of the non-coding regulatory genome.
We will extend our cis analysis (within 1Mb of the gene coding for the protein) to identify trans regions showing evidence of genetic effects on protein levels in ~55,000 individuals with WGS and protein data in the UK Biobank.
The analysis will comprise 2 parts.
This project will provide a substantial advance in our understanding of the role of non-coding variants in human disease. It will allow us to develop efficient and cost-effective approaches analysing whole genome sequence data. Our project is important if we are to make major advances in understanding disease mechanisms using whole genome sequencing.
Prof Michael Weedon (University of Exeter)
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