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Abstract
Alzheimer’s disease (AD) has no proven causal and modifiable risk factors, or effective interventions. We report a phenome-wide association study (PheWAS) of genetic liability for AD in 334,968 participants of the UK Biobank study, stratified by age. We also examined the effects of AD genetic liability on previously implicated risk factors. We replicated these analyses in the HUNT study. PheWAS hits and previously implicated risk factors were followed up in a Mendelian randomization (MR) framework to identify the causal effect of each risk factor on AD risk. A higher genetic liability for AD was associated with medical history and cognitive, lifestyle, physical and blood-based measures as early as 39 years of age. These effects were largely driven by the APOE gene. The follow-up MR analyses were primarily null, implying that most of these associations are likely to be a consequence of prodromal disease or selection bias, rather than the risk factor causing the disease.
Observational studies have found overlap between Alzheimer’s disease and other diseases and phenotypes, although the causal relationships are unclear. Here, the authors perform an age-stratified phenome-wide association study of Alzheimer’s disease (AD) genetic liability and follow-up Mendelian randomization analyses to examine whether these phenotypes have a causal effect on AD.
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1 University of Bristol, Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); University of Bristol, Barley House, Oakfield Grove, Population Health Sciences, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
2 NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393)
3 NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); Trondheim University Hospital, Clinic of Medicine, St. Olavs Hospital, Trondheim, Norway (GRID:grid.52522.32) (ISNI:0000 0004 0627 3560); Norwegian University of Science and Technology, HUNT Research Center, Department of Public Health and Nursing, NTNU, Levanger, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393)
4 University of Bristol, Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); University of Bristol, Barley House, Oakfield Grove, Population Health Sciences, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); University of Bristol, Intelligent Systems Laboratory, Department of Computer Science, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
5 University of Bristol, Barley House, Oakfield Grove, Population Health Sciences, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
6 University College London, MRC Unit for Lifelong Health and Ageing at UCL, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201); Karolinska Institutet, Department of Medical Epidemiology & Biostatistics, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
7 University of Bristol, Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); University of Bristol, Barley House, Oakfield Grove, Population Health Sciences, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393)