Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci

Genome-wide association studies (GWAS) have revealed thousands of genetic loci that underpin the complex biology of many human traits. However, the strength of GWAS – the ability to detect genetic association by linkage disequilibrium (LD) – is also its limitation. Whilst the ever-increasing study s...

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Detalles Bibliográficos
Autores principales: Nicholls, Hannah L., John, Christopher R., Watson, David S., Munroe, Patricia B., Barnes, Michael R., Cabrera, Claudia P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174742/
https://www.ncbi.nlm.nih.gov/pubmed/32351543
http://dx.doi.org/10.3389/fgene.2020.00350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174742/
https://www.ncbi.nlm.nih.gov/pubmed/32351543
http://dx.doi.org/10.3389/fgene.2020.00350

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