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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824203/ https://www.ncbi.nlm.nih.gov/pubmed/31708967 http://dx.doi.org/10.3389/fgene.2019.01021 |