Clinical validation of RNA sequencing for Mendelian disorder diagnostics

孟德尔遗传 计算生物学 DNA测序 生物 遗传学 计算机科学 DNA 基因
作者
Sen Zhao,Kristina Macakova,Jefferson Sinson,Hongzheng Dai,Jill A. Rosenfeld,Gladys Zapata,Shenglan Li,Patricia A. Ward,Christiana Wang,Chunjing Qu,Becky Maywald,Undiagnosed Diseases Network,Brendan Lee,Christine M. Eng,Pengfei Liu
出处
期刊:Cold Spring Harbor Laboratory - medRxiv 被引量:1
标识
DOI:10.1101/2024.08.15.24312057
摘要

Summary Despite rapid advancements in clinical sequencing, over half of diagnostic evaluations still lack definitive results. RNA-seq has shown promise in research settings for bridging this gap by providing essential functional data for accurate interpretation of diagnostic sequencing results. However, despite advanced research pipelines, clinical translation of diagnostic RNA-seq has not yet been realized. We have developed and validated a clinical diagnostic RNA-seq test in a CLIA laboratory for individuals with suspected genetic disorders who have existing or concurrent comprehensive DNA diagnostic testing. This diagnostic RNA-seq test processes patient RNA samples from fibroblasts or blood and derives clinical interpretations based on the analytical detection of outliers in gene expressions and splicing patterns. The clinical validation involves 150 samples, including benchmark, negative, and positive samples. We developed provisional expression and splicing benchmarks using short-read and long-read RNA-seq data from the HG002 lymphoblastoid sample produced by the Genome in a Bottle Consortium. Our validation data achieved analytical sensitivity and specificity higher than 99% against the benchmarks. For clinical validation, we first established reference ranges for each gene and junction based on expression distributions from our control data. We then evaluated the clinical performance of our outlier-based pipeline using positive samples with previously identified diagnostic findings from the Undiagnosed Diseases Network project. Our pipeline identified 19 of 20 positive findings in both fibroblast and blood samples and highlighted the limitations of the test. Our study provides a paradigm and necessary resources for independent laboratories to validate a clinical RNA-seq test.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
燊yy发布了新的文献求助30
5秒前
蓝莲花发布了新的文献求助10
5秒前
6秒前
8秒前
8秒前
FashionBoy应助小菜采纳,获得10
8秒前
9秒前
kyyy发布了新的文献求助10
11秒前
风格完成签到,获得积分10
12秒前
海鸥跳海发布了新的文献求助10
12秒前
13秒前
孝顺的花卷完成签到,获得积分10
13秒前
SYLH应助lushuai采纳,获得10
14秒前
15秒前
hhhblabla应助ahhh采纳,获得20
16秒前
丘比特应助soso采纳,获得30
17秒前
白剑通发布了新的文献求助30
18秒前
炙热雅琴发布了新的文献求助10
20秒前
我是老大应助炙热雅琴采纳,获得10
23秒前
asd发布了新的文献求助200
23秒前
完美世界应助trace采纳,获得10
23秒前
乐乐应助海鸥跳海采纳,获得10
23秒前
23秒前
慕青应助风旅采纳,获得10
23秒前
0811完成签到,获得积分20
24秒前
24秒前
25秒前
25秒前
沉静的店员完成签到,获得积分10
25秒前
26秒前
yuanshengyouji完成签到,获得积分20
26秒前
上官若男应助英俊延恶采纳,获得10
27秒前
wyan发布了新的文献求助10
28秒前
28秒前
28秒前
小孟发布了新的文献求助10
29秒前
Owen应助思行思行采纳,获得10
29秒前
脑洞疼应助o原来是草莓吖采纳,获得10
30秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
Dynamika przenośników łańcuchowych 600
Recent progress and new developments in post-combustion carbon-capture technology with reactive solvents 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3538670
求助须知:如何正确求助?哪些是违规求助? 3116388
关于积分的说明 9325077
捐赠科研通 2814221
什么是DOI,文献DOI怎么找? 1546519
邀请新用户注册赠送积分活动 720607
科研通“疑难数据库(出版商)”最低求助积分说明 712086