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Updated: Jan 7, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

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双变GSA-MiXeR:功能性基因组分析的新工具涉及精神病和神经退行性疾病的不同神经细胞类型

Nadine Parker1, Julian Furher1, Dat Nguyen1

  • 1Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.

medRxiv : the preprint server for health sciences
|December 25, 2025
PubMed
概括

功能性基因组学工具对于理解复杂的人类特征至关重要. 双变的GSA-MiXeR模型的遗传性和共变性,使得我们能够对遗传重叠和疾病机制有新的见解.

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A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations08:22

A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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