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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |