Genetic Screening of a Nonsyndromic Amelogenesis Imperfecta Patient Cohort Using a Custom smMIP Reagent for Selective Enrichment of Target Loci

IF 3.7 2区 医学 Q2 GENETICS & HEREDITY
Ummey Hany, Christopher M. Watson, Lu Liu, Georgios Nikolopoulos, Claire E. L. Smith, James A. Poulter, Agne Antanaviciute, Alice Rigby, Richard Balmer, Catriona J. Brown, Anesha Patel, María Gabriela Acosta de Camargo, Helen D. Rodd, Michelle Moffat, Gina Murillo, Amal Mudawi, Hussain Jafri, Alan J. Mighell, Chris F. Inglehearn
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Abstract

Amelogenesis is the process of tooth enamel formation, and genetic variants disrupting it cause the Mendelian inherited disorder amelogenesis imperfecta (AI). AI patients have weak, discoloured or brittle enamel, caused by reduced enamel quantity or mineralisation. AI can occur in isolation or, less commonly, as part of a syndrome. Pathogenic variants in at least 38 genes have been shown to cause AI. Current genetic screening studies typically use exome sequencing, but this is expensive and involves complex data analysis workflows. Target enrichment using smMIPs (single molecule molecular inversion probes) provides a flexible alternative, allowing the creation of a disease-specific reagent for low cost, robust, high-throughput screening. Here, we describe the development of an smMIP reagent targeting 19 genes implicated in isolated AI and assess its use in screening a cohort of 181 UK probands with nonsyndromic AI. While this was intended only as a prescreen to prioritise exome sequencing more efficiently, it nevertheless led to molecular diagnoses for 63 probands (35%). Cost per sample screened was approximately £40. Variants in three genes, COL17A1, FAM83H (both dominant) and MMP20 (recessive), accounted for approximately half of solved cases. There is scope to further improve the smMIP reagent by adding additional probes targeting regions of low coverage or additional genes, including those involved in syndromic AI, as well as accommodating new information about the genetic basis of AI. The smMIP reagent provides a robust, flexible, high-throughput, low-cost approach to AI screening, and it is available as a resource to the international AI research community.

Abstract Image

使用自定义smMIP试剂选择性富集靶位点的非综合征性无染色体发育不全患者队列的遗传筛查
成釉发育是牙釉质形成的过程,破坏这一过程的遗传变异导致了孟德尔遗传疾病成釉发育不全症(AI)。由于牙釉质数量减少或矿化,AI患者牙釉质变弱、变色或脆。人工智能可以单独发生,也可以不太常见地作为综合征的一部分发生。至少有38个基因的致病变异被证明会导致AI。目前的基因筛选研究通常使用外显子组测序,但这是昂贵的,涉及复杂的数据分析工作流程。使用smMIPs(单分子分子倒置探针)进行靶富集提供了一种灵活的选择,允许创建一种低成本、可靠、高通量筛选的疾病特异性试剂。在这里,我们描述了一种smMIP试剂的开发,靶向与分离的AI相关的19个基因,并评估了其在筛选181个英国非综合征型AI先显子队列中的应用。虽然这只是为了更有效地优先进行外显子组测序的预筛选,但它仍然导致63个先显子(35%)的分子诊断。每个筛选样本的成本约为40英镑。COL17A1、FAM83H(均为显性)和MMP20(均为隐性)这三个基因的变异约占已解决病例的一半。smMIP试剂有进一步改进的余地,可以增加针对低覆盖率区域或其他基因的额外探针,包括与综合征型人工智能相关的基因,以及包含有关人工智能遗传基础的新信息。smMIP试剂提供了一种强大、灵活、高通量、低成本的人工智能筛查方法,可作为国际人工智能研究界的一种资源。
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来源期刊
Human Mutation
Human Mutation 医学-遗传学
CiteScore
8.40
自引率
5.10%
发文量
190
审稿时长
2 months
期刊介绍: Human Mutation is a peer-reviewed journal that offers publication of original Research Articles, Methods, Mutation Updates, Reviews, Database Articles, Rapid Communications, and Letters on broad aspects of mutation research in humans. Reports of novel DNA variations and their phenotypic consequences, reports of SNPs demonstrated as valuable for genomic analysis, descriptions of new molecular detection methods, and novel approaches to clinical diagnosis are welcomed. Novel reports of gene organization at the genomic level, reported in the context of mutation investigation, may be considered. The journal provides a unique forum for the exchange of ideas, methods, and applications of interest to molecular, human, and medical geneticists in academic, industrial, and clinical research settings worldwide.
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