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...
Main Authors: | Hannah L. Nicholls, Christopher R. John, David S. Watson, Patricia B. Munroe, Michael R. Barnes, Claudia P. Cabrera |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-04-01
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Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00350/full |
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