Genetics and precision health: the ecological fallacy and artificial intelligence solutions-Reference-Cited by-同舟云学术

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Genetics and precision health: the ecological fallacy and artificial intelligence solutions

Published:2023-03-13 Issue:1 Volume:16 Page:
ISSN:1756-0381
Container-title:BioData Mining
language:en
Short-container-title:BioData Mining

Author:

Williams Scott M.,Moore Jason H.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Genetics,Molecular Biology,Biochemistry

Link

https://link.springer.com/content/pdf/10.1186/s13040-023-00327-z.pdf

Reference17 articles.

1. Risch N, Merikangas K. The future of genetic studies of complex human diseases. Science (New York, NY). 1996;273(5281):1516–7.

2. Kullo IJ, Lewis CM, Inouye M, Martin AR, Ripatti S, Chatterjee N. Polygenic scores in biomedical research. Nat Rev Genet. 2022;23(9):524–32.

3. Cuyvers E, Sleegers K. Genetic variations underlying Alzheimer’s disease: evidence from genome-wide association studies and beyond. Lancet Neurol. 2016;15(8):857–68.

4. Slooter AJC, Cruts M, Kalmijn S, Hofman A, Breteler MMB, Van Broeckhoven C, et al. Risk estimates of dementia by apolipoprotein E genotypes from a population-based incidence study: The Rotterdam study. Arch Neurol. 1998;55(7):964–8.

5. Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, et al. Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis APOE and Alzheimer Disease Meta Analysis Consortium. Jama. 1997;278(16):1349–56.

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