Emily Baker
Research Associate, Dementia Research Institute
- bakerea@cardiff.ac.uk
- 1.40 - Desk 40, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ
Biography
Publications
2022
- Bracher-Smith, M. et al. 2022. Whole genome analysis in APOE4 homozygotes identifies the DAB1-RELN pathway in Alzheimer’s disease pathogenesis. Neurobiology of Aging 119, pp. 67-76. (10.1016/j.neurobiolaging.2022.07.009)
- Wren, G. et al. 2022. Characterising heart rhythm abnormalities associated with Xp22.31 deletion. Journal of Medical Genetics (10.1136/jmg-2022-108862)
- Crawford, K. et al. 2022. Analysis of Alzheimer's disease Polygenic Risk Scores using RNA-sequencing provides further novel biological pathways. [Online]. medRxiv: Cold Spring Harbor Laboratory. (10.1101/2022.06.29.22276952) Available at: https://doi.org/10.1101/2022.06.29.22276952
- Chambers, T. et al. 2022. Genetic common variants associated with cerebellar volume and their overlap with mental disorders: a study on 33,265 individuals from the UK-Biobank. Molecular Psychiatry 27, pp. 2282-2290. (10.1038/s41380-022-01443-8)
- Mirza-Davies, A. et al. 2022. The impact of genetic risk for Alzheimer’s disease on the structural brain networks of young adults. Frontiers in Neuroscience
2021
- Leonenko, G. et al. 2021. Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores. Nature Communications 12, article number: 4506.
- Carpanini, S. M., Harwood, J. C., Baker, E., Torvell, M., Sims, R., Williams, J. and Morgan, B. P. 2021. The impact of complement genes on the risk of late-onset Alzheimer's disease. Genes 12(3), article number: 443. (10.3390/genes12030443)
2020
- Bellou, E. et al. 2020. Age-dependent effect of APOE and polygenic component on Alzheimer's disease. Neurobiology of Aging 93, pp. 69-77., article number: Neurobiology of Aging Volume 93, September 2020, Pages 69-77. (10.1016/j.neurobiolaging.2020.04.024)
- Baker, E. and Escott-Price, V. 2020. Polygenic risk scores in Alzheimer’s disease: current applications and future directions. Frontiers in Digital Health: Personalized Medicine 2(14) (10.3389/fdgth.2020.00014)
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), article number: e0218111. (10.1371/journal.pone.0218111)
- Escott-Price, V., Baker, E., Shoai, M., Leonenko, G., Myers, A. J., Huentelman, M. and Hardy, J. 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., Schmidt, K. M., Sims, R., O'Donovan, M. C., Williams, J., Holmans, P. and Escott-Price, V. 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)