Felker Stephanie A, Korf Bruce R, Barsh Gregory S
HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA 35806.
Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
medRxiv. 2025 Feb 27:2025.02.26.25322940. doi: 10.1101/2025.02.26.25322940.
Phenotype-based ascertainment of probands in studies of Mendelian disorders may exclude individuals with mild phenotypes or that lack health care access. We explore this premise in Research Program participants with pathogenic variation causal for three Mendelian conditions: autosomal dominant polycystic kidney disease (ADPKD), Marfan syndrome, and neurofibromatosis type 1 (NF1).
We identified Research Program participants with putatively pathogenic variation in , , , and . Concept terms were extracted from electronic health records to assess participant diagnosis and phenotype. Variant annotation and participant surveys were evaluated to identify biological and social factors differentiating diagnosed and undiagnosed individuals.
Large proportions of individuals with pathogenic variation in , , or lack the associated diagnosis of NF1 (47%), Marfan syndrome (58%), or ADPKD (51%), respectively. Pathogenic variants in diagnosed individuals have greater inferred deleteriousness for NF1 and ADPKD, and undiagnosed individuals had less severe phenotypes compared to diagnosed individuals for all three conditions.
A genotype-first ascertainment of individuals in genomic research allows for a more comprehensive assessment of Mendelian disease and removes biases that confound our understanding of the penetrance and presentation of these conditions.
在孟德尔疾病研究中,基于表型确定先证者可能会排除那些具有轻度表型或无法获得医疗保健的个体。我们在研究项目参与者中探讨了这一前提,这些参与者患有导致三种孟德尔疾病的致病变异:常染色体显性多囊肾病(ADPKD)、马凡综合征和1型神经纤维瘤病(NF1)。
我们在研究项目参与者中识别出在 、 、 和 中存在假定致病变异的个体。从电子健康记录中提取概念术语,以评估参与者的诊断和表型。对变异注释和参与者调查进行评估,以确定区分已诊断和未诊断个体的生物学和社会因素。
在 、 或 中存在致病变异的个体中,分别有很大比例的人未被诊断出患有NF1(47%)、马凡综合征(58%)或ADPKD(51%)。对于NF1和ADPKD,已诊断个体中的致病变异具有更大的推断有害性,并且在所有三种疾病中,未诊断个体的表型比已诊断个体的表型轻。
在基因组研究中,首先根据基因型确定个体,能够对孟德尔疾病进行更全面的评估,并消除那些混淆我们对这些疾病的外显率和表现的理解的偏差。