Protocol for genetic analysis of population-scale ultra-low-depth sequencing data.

IF 1.3 Q4 BIOCHEMICAL RESEARCH METHODS
STAR Protocols Pub Date : 2025-03-21 Epub Date: 2025-01-16 DOI:10.1016/j.xpro.2024.103579
Jingyu Zeng, Linxuan Li, Ying Lin, Xianmei Lan, Xinyi Zhang, Yingying Wang, Mingzhi Liao, Xin Jin, Huanhuan Zhu
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引用次数: 0

Abstract

Non-invasive prenatal testing (NIPT) not only enables the detection of chromosomal anomalies in fetuses but also generates vast amounts of ultra-low-depth sequencing data, which can be leveraged for population genomic studies. Here, we present a protocol designed for massive ultra-low-depth sequencing datasets. We detail the steps for data processing, quality control, and genotype imputation, followed by genome-wide association study (GWAS) and post-GWAS analyses. This protocol applies to a wide range of ultra-low-depth sequencing studies, extending beyond data from NIPT. For complete details on the use and execution of this profile, please refer to Xiao et al.1.

群体规模的超低深度测序数据的遗传分析方案。
非侵入性产前检测(NIPT)不仅可以检测胎儿的染色体异常,还可以产生大量的超低深度测序数据,这些数据可以用于群体基因组研究。在这里,我们提出了一种针对大量超低深度测序数据集设计的协议。我们详细介绍了数据处理、质量控制和基因型插入的步骤,以及随后的全基因组关联研究(GWAS)和GWAS后分析。该方案适用于广泛的超低深度测序研究,超出了NIPT的数据。有关使用和执行此配置文件的完整细节,请参阅Xiao等人1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
STAR Protocols
STAR Protocols Biochemistry, Genetics and Molecular Biology-General Biochemistry, Genetics and Molecular Biology
CiteScore
2.00
自引率
0.00%
发文量
789
审稿时长
10 weeks
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