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Updated: Jun 24, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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使用GPU加速基因组和现象广泛关联研究 - 使用百万退伍军人计划数据的案例研究.

Alex Rodriguez1, Youngdae Kim2, Tarak Nath Nandi1

  • 1Data Science and Learning, Argonne National Laboratory, Lemont, IL, 60439, USA.

bioRxiv : the preprint server for biology
|June 3, 2024
PubMed
概括

优化了使用基于GPU的分布式计算进行大规模基因组分析的通用混合模型 (SAIGE) 算法的可扩展和准确实现. 这种方法使全基因组关联研究 (GWAS) 加速了20倍,使大规模生物库数据集的有效分析成为可能.

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Infinium Assay for Large-scale SNP Genotyping Applications13:33

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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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