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Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression()
Genome-wide association studies (GWAS) have been successful in facilitating the understanding of genetic architecture behind human diseases, but this approach faces many challenges. To identify disease-related loci with modest to weak effect size, GWAS requires very large sample sizes, which can be...
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| 出版年: | Pac Symp Biocomput |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5749400/ https://ncbi.nlm.nih.gov/pubmed/29218904 |
| タグ: |
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