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GARLIC: a bioinformatic toolkit for aetiologically connecting diseases and cell type-specific regulatory maps
Genome-wide association studies (GWAS) have emerged as a powerful tool to uncover the genetic basis of human common diseases, which often show a complex, polygenic and multi-factorial aetiology. These studies have revealed that 70–90% of all single nucleotide polymorphisms (SNPs) associated with com...
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| 出版年: | Hum Mol Genet |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5409087/ https://ncbi.nlm.nih.gov/pubmed/28007912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddw423 |
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