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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
追寻的怜容完成签到,获得积分10
刚刚
maxinghrr完成签到,获得积分0
1秒前
shi hui应助宇老师采纳,获得10
2秒前
陈思完成签到,获得积分10
2秒前
SciGPT应助cy采纳,获得10
4秒前
王钰绮完成签到 ,获得积分10
6秒前
无情颖完成签到 ,获得积分10
6秒前
宁静致远完成签到,获得积分10
8秒前
顾矜应助活泼红牛采纳,获得10
8秒前
桐桐应助科研通管家采纳,获得10
9秒前
风吹麦田应助科研通管家采纳,获得30
9秒前
顾矜应助科研通管家采纳,获得10
9秒前
Owen应助科研通管家采纳,获得10
9秒前
Lucas应助科研通管家采纳,获得10
9秒前
充电宝应助科研通管家采纳,获得10
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
那时花开应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
wy.he应助科研通管家采纳,获得20
9秒前
SciGPT应助科研通管家采纳,获得10
10秒前
bkagyin应助科研通管家采纳,获得10
10秒前
标致的方盒完成签到,获得积分10
10秒前
蜘猪侠zx应助科研通管家采纳,获得10
10秒前
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
我是老大应助科研通管家采纳,获得10
10秒前
那时花开应助科研通管家采纳,获得10
10秒前
大力契应助科研通管家采纳,获得10
10秒前
所所应助科研通管家采纳,获得10
10秒前
Jasper应助科研通管家采纳,获得10
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
10秒前
桐桐应助科研通管家采纳,获得30
10秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
高分求助中
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Constitutional and Administrative Law 1000
Questioning sequences in the classroom 700
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
The Experimental Biology of Bryophytes 500
Rural Geographies People, Place and the Countryside 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5378758
求助须知:如何正确求助?哪些是违规求助? 4503204
关于积分的说明 14015274
捐赠科研通 4411911
什么是DOI,文献DOI怎么找? 2423541
邀请新用户注册赠送积分活动 1416486
关于科研通互助平台的介绍 1393925