Daniel Avery
MSc
Data Analyst
Daniel Avery is a Data Analyst with the China Kadoorie Biobank at the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford.
He graduated with an MSc in Research Methods from the University of Bristol before working for a number of companies in the retail sector performing data management roles. He is responsible for helping develop and manage the CKB database, ensuring the research team and collaborators have access to reliable and high quality data.
His primary duties include:
Developing and maintaining several of the tools used for automatic generation of datasets, as well as tools used for building and testing new data releases.
Acting as a knowledge bank for in-house researchers, about how data was gathered and managed, as well as known pitfalls or challenges associated with each data source.
Importing, cleaning and standardising information from sources as diverse as Health Insurance agencies, meteorological stations, urinalysis devices and genetic assays.
Recent publications
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Proteo-genomic analyses in relatively lean Chinese adults identify proteins and pathways that affect general and central adiposity levels.
Journal article
Iona A. et al, (2024), Commun Biol, 7
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DNA Methylation Age Mediates Effect of Metabolic Profile on Cardiovascular and General Aging.
Journal article
Si J. et al, (2024), Circ Res
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Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.
Journal article
Pozarickij A. et al, (2024), Nat Commun, 15
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Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.
Journal article
Yao P. et al, (2024), Diabetes Care, 47, 1012 - 1019
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Dietary factors and patterns in relation to risk of later-onset ulcerative colitis in Chinese: A prospective study of 0.5 million people.
Journal article
Song S. et al, (2024), Aliment Pharmacol Ther