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Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer’s Disease-Related Genes
It is estimated that the impact of related genes on the risk of Alzheimer’s disease (AD) is nearly 70%. Identifying candidate causal genes can help treatment and diagnosis. The maturity of sequencing technology and the reduction of cost make genome-wide association study (GWAS) become an important m...
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| Publicado no: | Front Genet |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6824203/ https://ncbi.nlm.nih.gov/pubmed/31708967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.01021 |
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