CMB_2024v14n1

Computational Molecular Biology 2024, Vol.14, No.1, 1-8 http://bioscipublisher.com/index.php/cmb 8 Bellenguez C., Küçükali F., Jansen I.E., Kleineidam L., Moreno-Grau S., Amin N., and Goldhardt O., 2022, New insights into the genetic etiology of Alzheimer’s disease and related dementias, Nature genetics, 54(4): 412-436. Clark K., Leung Y.Y., Lee W.P., Voight B., and Wang L.S., 2022, Polygenic risk scores in Alzheimer’s disease genetics: methodology, applications, inclusion, and diversity, Journal of Alzheimer's Disease, 89(1):1-12. https://doi.org/10.3233/JAD-220025 Fagundes S.D., Silva M.T., Thees M.F.R.S., and Pereira M.G., 2011, Prevalence of dementia among elderly Brazilians: a systematic review, Sao Paulo Medical Journal, 129: 46-50. https://doi.org/10.1590/S1516-31802011000100009 Gao P., Ye L., Cheng H., and Li H., 2021, The mechanistic role of bridging integrator 1 (BIN1) in Alzheimer’s disease, Cellular and Molecular Neurobiology, 41(7): 1431-1440. https://doi.org/10.1007/s10571-020-00926-y Hu T., Chitnis N., Monos D., and Dinh A., 2021, Next-generation sequencing technologies: An overview, Human Immunology, 82(11): 801-811. https://doi.org/10.1016/j.humimm.2021.02.012 Jansen I.E., Savage J.E., Watanabe K., Bryois J., Williams D.M., Steinberg S., and Posthuma D., 2019, Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk, Nature genetics, 51(3): 404-413. Knopman D.S., Amieva H., Petersen R.C., Chételat G., Holtzman D.M., Hyman B.T., and Jones D.T., 2021, Alzheimer disease, Nature reviews Disease primers, 7(1): 33. https://doi.org/10.1038/s41572-021-00269-y Lambert S.A., Abraham G., and Inouye M., 2019, Towards clinical utility of polygenic risk scores, Human molecular genetics, 28(R2): R133-R142. https://doi.org/10.1093/hmg/ddz187 Leonenko G., Sims R., Shoai M., Frizzati A., Bossù P., Spalletta G., and Escott‐Price V., 2019, Polygenic risk and hazard scores for Alzheimer's disease prediction, Annals of clinical and translational neurology, 6(3): 456-465. https://doi.org/10.1002/acn3.716 McGuire A.L., Gabriel S., Tishkoff S.A., Wonkam A., Chakravarti A., Furlong E.E., and Kim J.S., 2020, The road ahead in genetics and genomics, Nature Reviews Genetics, 21(10): 581-596. https://doi.org/10.1038/s41576-020-0272-6 Nichols E., Steinmetz J.D., Vollset S.E., Fukutaki K., Chalek J., Abd-Allah F., .and Liu X., 2022, Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019, The Lancet Public Health, 7(2): e105-e125. https://doi.org/10.1002/alz.051496 Oriol J.D.V., Vallejo E.E., Estrada K., Peña J.G.T., and Alzheimer’s Disease Neuroimaging Initiative, 2019, Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data, BMC bioinformatics, 20. https://doi.org/10.1186/s12859-019-3158-x Santos C.D.S.D., Bessa T.A.D., and Xavier A.J., 2020, Factors associated with dementia in elderly, Ciencia & saude coletiva, 25: 603-611. https://doi.org/10.1590/1413-81232020252.02042018 Simonetti A., Pais C., Jones M., Cipriani M.C., Janiri D., Monti L., and Sani G., 2020, Neuropsychiatric symptoms in elderly with dementia during COVID-19 pandemic: definition, treatment, and future directions, Frontiers in psychiatry, 11: 579842. https://doi.org/10.3389/fpsyt.2020.579842 Tan C.H., Hyman B.T., Tan J.J., Hess C.P., Dillon W.P., Schellenberg G.D., and Desikan R.S., 2017, Polygenic hazard scores in preclinical Alzheimer disease, Annals of neurology, 82(3): 484-488. https://doi.org/10.1002/ana.25029 Wu J.W., Yaqub A., Ma Y., Koudstaal W., Hofman A., Ikram M.A., and Goudsmit J., 2021, Biological age in healthy elderly predicts aging-related diseases including dementia, Scientific reports, 11(1): 15929. https://doi.org/10.1038/s41598-021-95425-5

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