AlMail Ali, Jamjoom Ahmed, Pan Amy, Feng Min Yi, Chau Vann, D'Gama Alissa M, Howell Katherine, Liang Nicole S Y, McTague Amy, Poduri Annapurna, Wiltrout Kimberly, Bassett Anne S, Christodoulou John, Dupuis Lucie, Gill Peter, Levy Tess, Siper Paige, Stark Zornitza, Vorstman Jacob A S, Diskin Catherine, Jewitt Natalie, Baribeau Danielle, Costain Gregory
Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Program in Genetics & Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
NPJ Genom Med. 2024 Apr 6;9(1):27. doi: 10.1038/s41525-024-00408-w.
Genome-wide sequencing and genetic matchmaker services are propelling a new era of genotype-driven ascertainment of novel genetic conditions. The degree to which reported phenotype data in discovery-focused studies address informational priorities for clinicians and families is unclear. We identified reports published from 2017 to 2021 in 10 genetics journals of novel Mendelian disorders. We adjudicated the quality and detail of the phenotype data via 46 questions pertaining to six priority domains: (I) Development, cognition, and mental health; (II) Feeding and growth; (III) Medication use and treatment history; (IV) Pain, sleep, and quality of life; (V) Adulthood; and (VI) Epilepsy. For a subset of articles, all subsequent published follow-up case descriptions were identified and assessed in a similar manner. A modified Delphi approach was used to develop consensus reporting guidelines, with input from content experts across four countries. In total, 200 of 3243 screened publications met inclusion criteria. Relevant phenotypic details across each of the 6 domains were rated superficial or deficient in >87% of papers. For example, less than 10% of publications provided details regarding neuropsychiatric diagnoses and "behavioural issues", or about the type/nature of feeding problems. Follow-up reports (n = 95) rarely contributed this additional phenotype data. In summary, phenotype information relevant to clinical management, genetic counselling, and the stated priorities of patients and families is lacking for many newly described genetic diseases. The PHELIX (PHEnotype LIsting fiX) reporting guideline checklists were developed to improve phenotype reporting in the genomic era.
全基因组测序和基因匹配服务正在推动一个由基因型驱动的新型遗传疾病确诊新时代。以发现为重点的研究中报告的表型数据在多大程度上满足临床医生和家庭的信息优先需求尚不清楚。我们确定了2017年至2021年期间在10种遗传学杂志上发表的关于新型孟德尔疾病的报告。我们通过46个与六个优先领域相关的问题来评判表型数据的质量和细节:(I)发育、认知和心理健康;(II)喂养和生长;(III)药物使用和治疗史;(IV)疼痛、睡眠和生活质量;(V)成年期;以及(VI)癫痫。对于一部分文章,所有后续发表的随访病例描述均以类似方式进行识别和评估。采用改良的德尔菲法制定共识报告指南,并获得了来自四个国家的内容专家的意见。在总共3243篇筛选的出版物中,有200篇符合纳入标准。在超过87%的论文中,六个领域中每个领域的相关表型细节被评为肤浅或不足。例如,不到10%的出版物提供了关于神经精神诊断和“行为问题”或喂养问题类型/性质的细节。随访报告(n = 95)很少提供这些额外的表型数据。总之,许多新描述的遗传疾病缺乏与临床管理、遗传咨询以及患者和家庭既定优先事项相关的表型信息。PHELIX(表型列表修正)报告指南清单旨在改善基因组时代的表型报告。