Download Principal Investigator Dr Eleftheria Zeggini Address Wellcome Trust

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Transcript
Principal Investigator
Dr Eleftheria Zeggini
Address
Wellcome Trust Sanger Institute, Human Genetic, Wellcome Trust
Genome Campus, Hinxton, Cambridge CB10 1HH
Lead Collaborators:
Professor Jeremy Willkinson, University of Sheffield, Human Metabolism, D
Floor, Medical School, Beech Hill Road, Sheffield S10 2RX
Funding body: Internally funded through Wellcome Trust Sanger Institute core
funding under Wellcome Trust Award WT098051
Summary of research
Genetics, osteoarthritis, total joint replacement
Application Lay Summary:
1a: We are requesting access to the full UK Biobank genotype data along with
phenotype data on osteoarthritis and related traits. We will carry out a nested
case-control study for OA and will additionally investigate genetic overlap
between OA and related traits, whilst adjusting for appropriate covariates.
1b: The proposed work fits in with the aims of UK Biobank, as it seeks to identify
associations between sequence variants and a disease of medical relevance. It
leverages the large sample size of the UK Biobank cohort for an OA GWAS of
unprecedented scale.
1c: We will carry out a nested case-control study for OA and will additionally
investigate genetic overlap between OA and related traits, whilst adjusting for
appropriate covariates. These include age, sex, anthropometric measurements,
blood biochemistry, as well as other demographic and lifestyle data including
region of origin, occupational activity, HRT information and smoking habits. We
would also like to request data on OA severity (Kellgren-Lawrence score, if
available), age at OA diagnosis, and information on total joint replacement
surgery including joint site, and age at surgery. The focus of our work is on
complex trait genetics. We design and carry out large-scale genetic association
studies and aim to identify genetic loci associated with osteoarthritis. The data
will be used in genotype-phenotype association studies and will contribute to
genome-wide discovery efforts, as well as to replication efforts for alreadyidentified promising signals in independent samples. Our team is positioned
among global leaders in OA genetics.
1d: Full cohort, divided into case-control by OA status