Andrew Wood

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Lecturer in Statistical Genetics and Health Data Science

University of Exeter

United Kingdom

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About

Andrew Wood is a Lecturer in Statistical Genetics and Health Data Science at the University of Exeter, UK. His research focuses on genetic determinants related to health outcomes, including loci associated with frozen shoulder, tinnitus, and adiposity phenotypes. He employs Mendelian randomization methods to explore causal relationships in health data, contributing valuable insights into cardiometabolic diseases and the genetic architecture of glycemic traits.

Recent Grants

Grant: Close

Using genetics to understand changes in body weight over time and links to disease

Open Date: 2021-05-01

Close Date: 2023-05-01

Grant: Close

The genetics of sleep patterns and their relationship to obesity and Type 2 diabetes

Open Date: 2017-03-31

Close Date: 2019-03-31

Articles (10)

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2020

UNITED KINGDOM

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Sean Cain

MONASH UNIVERSITY

AUSTRALIA

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Andrew Wood

Research Interests

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Contact this professor

About

Recent Grants

Articles (10)

Genetic predictors of participation in optional components of UK Biobank.

The trans-ancestral genomic architecture of glycemic traits

Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health.

Genetic determinants of daytime napping and effects on cardiometabolic health

A genome-wide association study identifies 5 loci associated with frozen shoulder and implicates diabetes as a causal risk factor.

Understanding Factors That Cause Tinnitus: A Mendelian Randomization Study in the UK Biobank.

Genetic evidence for different adiposity phenotypes and their opposing influence on ectopic fat and risk of cardiometabolic disease.

Genetically defined favourable adiposity is not associated with a clinically meaningful difference in clinical course in people with type 2 diabetes but does associate with a favourable metabolic profile.

Genome-Wide Association Analysis of Pancreatic Beta Cell Glucose Sensitivity

Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies.

Collaborators (13)

Hanna Ollila

Konstantinos Tsirigos

Saskia Hagenaars

Kerrin S Small

Brandon Whitcher

Xueling Sim

Timothy Frayling

Anne Lundager Madsen

Federico De Masi

Kate Tilling

Alicia Huerta-Chagoya

Hanieh Yaghootkar

Sean Cain

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