A complete list of publications can be found on my university webpage, or google scholar. All my (first author) publications are open access, and are I have linked to the PDFs/sites below. If you want anything and it’s not open access though, I’ll happily send you a PDF.


Williams C, Pease A, Warnes P, Harrison S, et al. (2021) Cerebral visual impairment-related vision problems in primary school children: a cross-sectional survey. Dev Med Child Neurol. DOI:

Harrison S, Howe L, Davies AR. Making sense of Mendelian randomisation and its use in health research. 2020.

Brumpton B, Sanderson E, Heilbron K, Hartwig FP, Harrison S, et al. (2020) Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses. Nat Commun. DOI:

Harrison S, Davies AR, Dickson M, et al. (2020) The Causal Effects of Health Conditions and Risk Factors on Social and Socioeconomic Outcomes: Mendelian Randomization in UK Biobank. International Journal of Epidemiology. DOI:

Harrison S, Tilling K, Turner EL, et al. (2020) Systematic Review and Meta-Analysis of the Associations Between Body Mass Index, Prostate Cancer, Advanced Prostate Cancer and Prostate Specific AntigenCancer Causes & Control. DOI:

Dixon P, Hollingworth W, Harrison S, et al. (2020) Randomization analysis of the causal effect of adiposity on hospital costs. J Health Econ. DOI:

Thornton H V., Turner KME, Harrison S, et al. (2019) Assessing the potential of upper respiratory tract point-of-care testing: a systematic review of the prognostic significance of upper respiratory tract microbes. Clinical Microbiology and Infection. DOI:

Rayner TA, Harrison S, Rival P, et al. (2019) Minimally invasive versus conventional surgery of the ascending aorta and root: a systematic review and meta-analysis. Eur J Cardio-Thoracic Surg. DOI:

Howe LD, Kanayalal R, Harrison S, et al. (2019) Effects of body mass index on relationship status, social contact and socio-economic position: Mendelian randomization and within-sibling study in UK Biobank. Int J Epidemiol. DOI:

North TL, Davies NM, Harrison S, et al. (2019) Using Genetic Instruments to Estimate Interactions in Mendelian Randomization Studies Epidemiology. DOI:

Richardson TG, Harrison S, Hemani G, Davey Smith G (2019) An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome eLIFE. DOI:

Lewis SJ, Gardner M, …, Harrison S, … Martin RM (2017) Developing the WCRF International/University of Bristol Methodology for Identifying and Carrying Out Systematic Reviews of Mechanisms of Exposure–Cancer Associations Cancer Epidemiology and Prevention Biomarkers. DOI:

Young GJ*, Harrison S*, Turner EL, et al. (2017) Prostate-specific Antigen (PSA) testing of men in UK general practice: a 10-year longitudinal cohort study. BMJ Open. *Joint first author. DOI: 10.1136/bmjopen-2017-017729

Lewis SJ, Gardner M, Higgins JPT, Holly JMP, Gaunt TR, Perks CM, Turner SD, Rinaldi S, Thomas S, Harrison S, et al. (2017) Developing the WCRF International/University of Bristol methodology for identifying and carrying out systematic reviews of mechanisms of exposure-cancer associations. Cancer Epidemiology, Biomarkers & Prevention. DOI: 10.1158/1055-9965.EPI-17-0232

Harrison S, Jones HE, Martin RM, Lewis SJ, Higgins JP (2017) The albatross plot: a novel graphical tool for presenting results of diversely reported studies in a systematic review. Res Synth Methods 8(3), 281-289. DOI: 10.1002/jrsm.1239

Harrison S*, Lennon R*, Holly J, et al. (2017) Does milk intake promote prostate cancer initiation or progression via effects on insulin-like growth factors (IGFs)? A systematic review and meta-analysis. Cancer Causes Control 28(6), 497–528. *Joint first author. DOI: 10.1007/s10552-017-0883-1

Hunter B, Harrison S, Portela A, Bick D (2017) The effects of cash transfers and vouchers on the use and quality of maternity care services: A systematic review. PLoS One 12(3). DOI: 10.1371/journal.pone.0173068

Harrison S, Tilling K, Turner EL, et al. (2016) Investigating the prostate specific antigen, body mass index and age relationship: is an age-BMI-adjusted PSA model clinically useful? Cancer Causes Control 27(12):1465–74. DOI: 10.1007/s10552-016-0827-1

Macarthur GJ, Harrison S, Caldwell DM, Hickman M, Campbell R (2016) Peer-led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11-21 years: A systematic review and meta-analysis. Addiction 111(3), 391–407. DOI: 10.1111/add.13224

Harrison S, Lewis SJ, Hall AJ, Vuckovic D, et al. (2015) Association of SNPs in LCP1 and CTIF with hearing in 11 year old children: Findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort and the G-EAR consortium. BMC Med Genomics. DOI: