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Updated: Jun 17, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

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门德尔随机化和贝叶斯局部化分析表明,甘氨蛋白VI是南亚人群中心血管栓塞性中风的潜在药物标

Siwei Wu1, Devendra Meena1, James Yarmolinsky1

  • 1Department of Epidemiology and Biostatistics School of Public Health, Imperial College London London United Kingdom.

Journal of the American Heart Association
|August 9, 2024
PubMed
概括

血糖蛋白VI (GP6) 水平可能会因果性地增加南亚人心性中风风险. 需要进一步的研究来确认GP6作为治疗目标,以预防这一群体中风.

关键词:
在GP6中,GP6是GP6.门德尔的随机化南亚的祖先来自南亚.心血管栓塞性心血管栓塞性一次性中风中风中风中风中风

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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease09:34

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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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