Resolving non‑coding splice‑altering variants using an integrative genomic and transcriptomic workflow: application to FOXP1.

IF 4.1 3区 医学 Q2 GENETICS & HEREDITY
Pauline Planté-Bordeneuve, Anne-Sophie Jourdain, Caroline Thuillier, Aurélien Caux, Marine Tessarech, Jean-Pascal Meneboo, Emilie Ait-Yahya, Sara Costantini, Perrine Brunelle, Thomas Smol
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引用次数: 0

Abstract

Genome sequencing (GS) often reveals non-coding variants of uncertain significance, especially those predicted to affect pre-mRNA splicing. We present an integrative workflow combining splice prediction, a minigene assay and long-read RNA sequencing to assess their functional impact. Applied to a de novo heterozygous 17-bp intronic deletion in FOXP1 from a child with a neurodevelopmental disorder, this approach showed impaired exon recognition and multiple aberrant transcript isoforms, supporting a loss-of-function mechanism consistent with FOXP1 haploinsufficiency. Our results illustrate how experimental and isoform-resolved transcriptomic analyses can refine the interpretation of non-coding splice-altering variants detected by GS in clinical genomics.

使用整合基因组和转录组工作流程解决非编码剪接改变变异:FOXP1的应用。
基因组测序(GS)经常揭示不确定意义的非编码变异,特别是那些预测影响前mrna剪接的变异。我们提出了一个整合的工作流程,结合剪接预测,迷你基因分析和长读RNA测序来评估它们的功能影响。将该方法应用于一名神经发育障碍儿童FOXP1的新杂合17 bp内含子缺失,结果显示外显子识别受损和多个异常转录异构体,支持FOXP1单倍性不足的功能丧失机制。我们的研究结果说明了实验和同型分辨转录组学分析如何改进临床基因组学中GS检测到的非编码剪接改变变异的解释。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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