遗传学
生物
基因组
全基因组测序
1000基因组计划
基因检测
疾病
人口
DNA测序
计算生物学
生物信息学
医学
基因型
基因
病理
单核苷酸多态性
环境卫生
作者
Rachel Moore,Jing Yu,Yang Pei,Emily W. Y. Cheng,Ana Lisa Taylor Tavares,Woolf T. Walker,Neil Thomas,Arveen Kamath,Rita Ibitoye,Dragana Josifova,Anna Wilsdon,Alison Ross,Alistair Calder,Amaka C Offiah,Andrew O.M. Wilkie,Jenny C. Taylor,Alistair T. Pagnamenta
标识
DOI:10.1136/jmg-2023-109362
摘要
Background Current clinical testing methods used to uncover the genetic basis of rare disease have inherent limitations, which can lead to causative pathogenic variants being missed. Within the rare disease arm of the 100 000 Genomes Project (100kGP), families were recruited under the clinical indication ‘single autosomal recessive mutation in rare disease’. These participants presented with strong clinical suspicion for a specific autosomal recessive disorder, but only one suspected pathogenic variant had been identified through standard-of-care testing. Whole genome sequencing (WGS) aimed to identify cryptic ‘second-hit’ variants. Methods To investigate the 31 families with available data that remained unsolved following formal review within the 100kGP, SVRare was used to aggregate structural variants present in <1% of 100kGP participants. Small variants were assessed using population allele frequency data and SpliceAI. Literature searches and publicly available online tools were used for further annotation of pathogenicity. Results Using these strategies, 8/31 cases were solved, increasing the overall diagnostic yield of this cohort from 10/41 (24.4%) to 18/41 (43.9%). Exemplar cases include a patient with cystic fibrosis harbouring a novel exonic LINE1 insertion in CFTR and a patient with generalised arterial calcification of infancy with complex interlinked duplications involving exons 2–6 of ENPP1 . Although ambiguous by short-read WGS, the ENPP1 variant structure was resolved using optical genome mapping and RNA analysis. Conclusion Systematic examination of cryptic variants across a multi-disease cohort successfully identifies additional pathogenic variants. WGS data analysis in autosomal recessive rare disease should consider complex structural and small intronic variants as potentially pathogenic second hits.
科研通智能强力驱动
Strongly Powered by AbleSci AI