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Integration of GWAS Summary Statistics and Gene Expression Reveals Target Cell Types Underlying Kidney Function Traits
BACKGROUND: Genetic variants identified in genome-wide association studies (GWAS) are often not specific enough to reveal complex underlying physiology. By integrating RNA-seq data and GWAS summary statistics, novel computational methods allow unbiased identification of trait-relevant tissues and ce...
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| 出版年: | J Am Soc Nephrol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Society of Nephrology
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7609008/ https://ncbi.nlm.nih.gov/pubmed/32764137 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2020010051 |
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