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...
| 主要な著者: | , , , , , |
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
Frontiers
2020
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