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从癌症测序数据推断遗传祖先。

Inferring genetic ancestry from cancer sequencing data.

机构信息

Marie Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Marie Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Trends Genet. 2023 Jun;39(6):431-432. doi: 10.1016/j.tig.2023.03.003. Epub 2023 Mar 25.

Abstract

Genetic ancestry is an important biological determinant of cancer health disparities that is not captured by self-identified race and ethnicity (SIRE). Belleau et al. recently developed a systematic computational approach to infer genetic ancestry from cancer-derived molecular data from different genomic and transcriptomic profiling assays, creating opportunities to interrogate population-scale data sets.

摘要

遗传背景是导致癌症健康差异的一个重要生物学决定因素,而这一因素无法通过自我认定的种族和民族(Self-Identified Race and Ethnicity,SIRE)来捕捉。Belleau 等人最近开发了一种系统的计算方法,可以从不同基因组和转录组分析检测的癌症衍生分子数据中推断遗传背景,为研究人口规模数据集创造了机会。

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