Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Bioinformatics and Genomics Graduate program, Pennsylvania State University, University Park, PA 16802, USA.
GeneDx, Gaithersburg, MD 20877, USA.
Am J Hum Genet. 2023 Dec 7;110(12):2015-2028. doi: 10.1016/j.ajhg.2023.10.015. Epub 2023 Nov 17.
We examined more than 97,000 families from four neurodevelopmental disease cohorts and the UK Biobank to identify phenotypic and genetic patterns in parents contributing to neurodevelopmental disease risk in children. We identified within- and cross-disorder correlations between six phenotypes in parents and children, such as obsessive-compulsive disorder (R = 0.32-0.38, p < 10). We also found that measures of sub-clinical autism features in parents are associated with several autism severity measures in children, including biparental mean Social Responsiveness Scale scores and proband Repetitive Behaviors Scale scores (regression coefficient = 0.14, p = 3.38 × 10). We further describe patterns of phenotypic similarity between spouses, where spouses show correlations for six neurological and psychiatric phenotypes, including a within-disorder correlation for depression (R = 0.24-0.68, p < 0.001) and a cross-disorder correlation between anxiety and bipolar disorder (R = 0.09-0.22, p < 10). Using a simulated population, we also found that assortative mating can lead to increases in disease liability over generations and the appearance of "genetic anticipation" in families carrying rare variants. We identified several families in a neurodevelopmental disease cohort where the proband inherited multiple rare variants in disease-associated genes from each of their affected parents. We further identified parental relatedness as a risk factor for neurodevelopmental disorders through its inverse relationship with variant pathogenicity and propose that parental relatedness modulates disease risk by increasing genome-wide homozygosity in children (R = 0.05-0.26, p < 0.05). Our results highlight the utility of assessing parent phenotypes and genotypes toward predicting features in children who carry rare variably expressive variants and implicate assortative mating as a risk factor for increased disease severity in these families.
我们从四个神经发育疾病队列和英国生物库中检查了超过 97000 个家庭,以确定父母的表型和遗传模式如何导致儿童神经发育疾病的风险。我们在父母和孩子的六个表型之间识别出了同一种疾病和跨疾病的相关性,例如强迫症(R = 0.32-0.38,p < 10)。我们还发现,父母亚临床自闭症特征的衡量标准与儿童自闭症严重程度的几个衡量标准相关,包括双亲平均社会反应量表评分和先证者重复行为量表评分(回归系数= 0.14,p = 3.38 × 10)。我们进一步描述了配偶之间表型相似的模式,配偶之间在六个神经和精神表型上存在相关性,包括抑郁症的同一种疾病相关性(R = 0.24-0.68,p < 0.001)和焦虑症与双相情感障碍之间的跨疾病相关性(R = 0.09-0.22,p < 10)。使用模拟人群,我们还发现,选择性交配可以导致疾病易感性在几代人中增加,并导致携带罕见变异的家庭出现“遗传预期”。我们在一个神经发育疾病队列中发现了几个家庭,其中先证者从受影响的父母双方遗传了多个与疾病相关基因的罕见变异。我们还发现,父母亲缘关系是神经发育障碍的一个风险因素,因为它与变异的致病性呈反比关系,并提出父母亲缘关系通过增加儿童全基因组纯合性来调节疾病风险(R = 0.05-0.26,p < 0.05)。我们的研究结果强调了评估父母表型和基因型以预测携带罕见变异的儿童特征的实用性,并表明选择性交配是这些家庭疾病严重程度增加的一个风险因素。