HiFi long-read genomes for difficult-to-detect clinically relevant variants

基因组 计算生物学 生物 遗传学 进化生物学 计算机科学 基因
作者
Wolfram Hoeps,Marjan M. Weiss,Ronny Derks,Jordi Corominas Galbany,Amber den Ouden,Simone van den Heuvel,Raoul Timmermans,Jos G.A. Smits,Tom Mokveld,Egor Dolzhenko,Xiao Chen,Arthur van den Wijngaard,Michael A. Eberle,Helger G. Yntema,Alexander Hoischen,Christian Gilissen,Lisenka E.L.M. Vissers
出处
期刊:Cold Spring Harbor Laboratory - medRxiv 被引量:2
标识
DOI:10.1101/2024.09.17.24313798
摘要

Clinical short-read exome and genome sequencing approaches have positively impacted diagnostic testing for rare diseases. Yet, technical limitations associated with short reads challenge their use for detection of disease-associated variation in complex regions of the genome. Long-read sequencing (LRS) technologies may overcome these challenges, potentially qualifying as a first-tier test for all rare diseases. To test this hypothesis, we performed LRS (30x HiFi genomes) for 100 samples with 145 known clinically relevant germline variants that are challenging to detect using short-read sequencing and necessitate a broad range of complementary test modalities in diagnostic laboratories. We show that relevant variant callers readily re-identify the majority of variants (120/145, 83%), including ~90% of structural variants, SNVs/InDels in homologous sequences and expansions of short tandem repeats. Another 10% (n=14) was visually apparent in the data but not automatically detected. Our analyses also identified systematic challenges for the remaining 7% (n=11) of variants such as the detection of AG-rich repeat expansions. Titration analysis showed that 89% of all automatically called variants could also be identified using 15-fold coverage. Thus, long-read genomes identified 93% of pathogenic variants that are most challenging to detect using short-read technologies. Even with reduced coverage, the vast majority of variants remained detectable, possibly enhancing cost-effective diagnostic implementation. Most importantly, we show the potential to use a single technology to accurately identify all types of clinically relevant variants.
最长约 10秒,即可获得该文献文件

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
FOR明发布了新的文献求助10
1秒前
项听蓉发布了新的文献求助10
2秒前
勤奋的科研小白完成签到,获得积分10
3秒前
3秒前
梦落雨发布了新的文献求助10
3秒前
酷波er应助Moto_Fang采纳,获得10
4秒前
5秒前
5秒前
BUBBLES完成签到,获得积分10
5秒前
5秒前
浩川完成签到,获得积分10
6秒前
科研通AI6.3应助公龟采纳,获得10
7秒前
8秒前
吴志亮发布了新的文献求助10
9秒前
幽默雁凡应助语青采纳,获得10
9秒前
bryan.yuan发布了新的文献求助10
9秒前
蛋挞完成签到,获得积分20
10秒前
项听蓉完成签到,获得积分10
10秒前
合适尔风完成签到,获得积分10
10秒前
11秒前
v0id应助饱满服饰采纳,获得10
12秒前
12秒前
12秒前
李健应助AS123采纳,获得10
13秒前
15秒前
16秒前
鸭不抗揍完成签到 ,获得积分10
16秒前
16秒前
梧桐发布了新的文献求助10
16秒前
17秒前
Lucas应助Exhit采纳,获得10
17秒前
柚子完成签到,获得积分10
17秒前
Amierx完成签到 ,获得积分10
17秒前
MHR完成签到,获得积分10
17秒前
18秒前
Akim应助梦落雨采纳,获得30
18秒前
Orange应助淡定的夏青采纳,获得10
18秒前
bajiuc完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Lengua e imagen en la comunicación digital 500
A First Course in Options Pricing Theory 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7480233
求助须知:如何正确求助?哪些是违规求助? 9073727
关于积分的说明 19349678
捐赠科研通 7097258
什么是DOI,文献DOI怎么找? 3247368
关于科研通互助平台的介绍 2416430
邀请新用户注册赠送积分活动 2232745