Sean Harrison
University of Bristol
Publications 22
#1Hannah V Thornton (UoB: University of Bristol)H-Index: 6
#2Katy Turner (UoB: University of Bristol)H-Index: 5
Last.Alastair D Hay (UoB: University of Bristol)H-Index: 28
view all 6 authors...
Abstract Objectives Microbial point-of-care testing (POCT) has potential to revolutionize clinical care. Understanding the prognostic value of microbes identified from the upper respiratory tract (a convenient sampling site) is a necessary first step to understand potential for upper respiratory tract POCTs in assisting antimicrobial treatment decisions for respiratory infections (RTIs). The aim was to investigate the relationship between upper respiratory tract microbial detection and disease p...
#1Sean Harrison (UoB: University of Bristol)H-Index: 8
#2Alisha R DaviesH-Index: 3
Last.Laura D Howe (UoB: University of Bristol)H-Index: 28
view all 13 authors...
Objectives: To estimate the causal effect of health conditions and risk factors on social and socioeconomic outcomes in UK Biobank. Evidence on socioeconomic impacts is important to understand because it can help governments, policy-makers and decision-makers allocate resources efficiently and effectively. Design: We used Mendelian randomization to estimate the causal effects of eight health conditions (asthma, breast cancer, coronary heart disease, depression, eczema, migraine, osteoarthritis, ...
#1Ben Michael Brumpton (Medical Research Council)H-Index: 9
#2Eleanor Sanderson (UoB: University of Bristol)H-Index: 5
Last.Neil M Davies (UoB: University of Bristol)H-Index: 23
view all 30 authors...
Mendelian randomization (MR) is a widely-used method for causal inference using genetic data. Mendelian randomization studies of unrelated individuals may be susceptible to bias from family structure, for example, through dynastic effects which occur when parental genotypes directly affect offspring phenotypes. Here we describe methods for within-family Mendelian randomization and through simulations show that family-based methods can overcome bias due to dynastic effects. We illustrate these is...
13 CitationsSource
#1Tom A Rayner (UoB: University of Bristol)
#2Sean Harrison (UoB: University of Bristol)H-Index: 8
Last.Hunaid A. Vohra (UoB: University of Bristol)H-Index: 15
view all 8 authors...
#1Padraig DixonH-Index: 6
Last.George Davey-SmithH-Index: 189
view all 5 authors...
Abstract Estimates of the marginal effect of measures of adiposity such as body mass index (BMI) on healthcare costs are important for the formulation and evaluation of policies targeting adverse weight profiles. Many existing estimates of this association are affected by endogeneity bias caused by simultaneity, measurement error and omitted variables. The contribution of this study is to avoid this bias by using a novel identification strategy – random germline genetic variation in an instrumen...
#1Tom G. Richardson (UoB: University of Bristol)H-Index: 8
#2Sean Harrison (UoB: University of Bristol)H-Index: 8
Last.George Davey-SmithH-Index: 189
view all 4 authors...
An individual’s risk of developing many diseases, including heart disease and schizophrenia, is influenced by a complex combination of lifestyle factors and the genes they inherit at birth. The total number of genetic variants that an individual has that increases their risk of developing a particular disease can be measured as their ‘polygenic risk score’. These scores allow researchers to predict whether it is likely that someone will develop a disease during their lifetime. Polygenic risk sco...
11 CitationsSource
#1Teri-Louise North (UoB: University of Bristol)H-Index: 3
#2Neil M Davies (UoB: University of Bristol)H-Index: 23
Last.Laura D Howe (UoB: University of Bristol)H-Index: 28
view all 8 authors...
BACKGROUND: The interactive effect of two exposures on an outcome can be confounded. We demonstrate the use of Mendelian Randomization (MR) to estimate unconfounded additive interactions. METHODS: Using simulation, we test an extension to multivariable MR using two-stage least squares to estimate the additive interaction between two continuous exposures on a continuous outcome, including scenarios where one exposure has a causal effect on the other (mediation). The interaction parameters were se...
#1Ruth E. MitchellH-Index: 5
#2Gibran HemaniH-Index: 33
Last.Lavinia PaternosterH-Index: 41
view all 6 authors...
4 CitationsSource
#1Laura D Howe (UoB: University of Bristol)H-Index: 28
#2Roshni Kanayalal (RD&E: Royal Devon and Exeter Hospital)H-Index: 1
Last.Jess Tyrrell (RD&E: Royal Devon and Exeter Hospital)H-Index: 4
view all 10 authors...
Objective: To assess whether body mass index (BMI) has a causal effect on social and socioeconomic factors, including whether both high and low BMI can be detrimental. Design: Mendelian Randomization, using genetic variants for BMI to obtain unconfounded estimates, and non-linear Mendelian Randomization. Setting: UK Biobank. Participants: 378,244 men and women of European ancestry, mean age 57 (SD 8 years). Main outcome measures: Townsend deprivation index, income, age completed full time educat...
2 CitationsSource
#1Simon W. Lewis (UoB: University of Bristol)H-Index: 47
#2Michael P. Gardner (UoB: University of Bristol)H-Index: 16
Last.Richard M. Martin (UoB: University of Bristol)H-Index: 102
view all 20 authors...
Background: Human, animal, and cell experimental studies; human biomarker studies; and genetic studies complement epidemiologic findings and can offer insights into biological plausibility and pathways between exposure and disease, but methods for synthesizing such studies are lacking. We, therefore, developed a methodology for identifying mechanisms and carrying out systematic reviews of mechanistic studies that underpin exposure–cancer associations. Methods: A multidisciplinary team with exper...
3 CitationsSource