Emily Baker
Research Associate, Dementia Research Institute
- bakerea@cardiff.ac.uk
- 1.40 - Desk 40, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ
2019
- Baker, E.et al. 2019. Gene-based analysis in HRC imputed genome wide association data identifies three novel genes for Alzheimer’s disease. PLoS ONE 14(7), pp. -., article number: e0218111. (10.1371/journal.pone.0218111)
- Escott-Price, V.et al. 2019. Genetic analysis suggests high misassignment rates in clinical Alzheimer's cases and controls. Neurobiology of Aging 77, pp. 178-182. (10.1016/j.neurobiolaging.2018.12.002)
- Vivian-Griffiths, T.et al. 2019. Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180(1), pp. 80-85. (10.1002/ajmg.b.32705)
2018
- Baker, E. A. 2018. Investigation of new strategies for identifying causal mechanisms in Alzheimer's disease taking bioinformatics approaches beyond GWAS. PhD Thesis, Cardiff University.
- Ahmad, S.et al. 2018. Disentangling the biological pathways involved in early features of Alzheimer's disease in the Rotterdam Study. Alzheimer's and Dementia 14(7), pp. 848-857. (10.1016/j.jalz.2018.01.005)
- Baker, E.et al. 2018. POLARIS: polygenic LD-adjusted risk score approach for set-based analysis of GWAS data. Genetic Epidemiology 42(4), pp. 366-377. (10.1002/gepi.22117)