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统计剖析具有多种相关罕见疾病的基因中表型异质性的遗传决定因素。

Statistical Dissection of the Genetic Determinants of Phenotypic Heterogeneity in Genes with Multiple Associated Rare Diseases.

机构信息

Department of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia.

Bioinformatics Institute, Kantemirovskaya St. 2A, 197342 St. Petersburg, Russia.

出版信息

Genes (Basel). 2023 Nov 18;14(11):2100. doi: 10.3390/genes14112100.

Abstract

Phenotypicheterogeneity is a phenomenon in which distinct phenotypes can develop in individuals bearing pathogenic variants in the same gene. Genetic factors, gene interactions, and environmental factors are usually considered the key mechanisms of this phenomenon. Phenotypic heterogeneity may impact the prognosis of the disease severity and symptoms. In our work, we used publicly available data on the association between genetic variants and Mendelian disease to investigate the genetic factors (such as the intragenic localization and type of a variant) driving the heterogeneity of gene-disease relationships. First, we showed that genes linked to multiple rare diseases (GMDs) are more constrained and tend to encode more transcripts with high levels of expression across tissues. Next, we assessed the role of variant localization and variant types in specifying the exact phenotype for GMD variants. We discovered that none of these factors is sufficient to explain the phenomenon of such heterogeneous gene-disease relationships. In total, we identified only 38 genes with a weak trend towards significant differences in variant localization and 30 genes with nominal significant differences in variant type for the two associated disorders. Remarkably, four of these genes showed significant differences in both tests. At the same time, our analysis suggests that variant localization and type are more important for genes linked to autosomal dominant disease. Taken together, our results emphasize the gene-level factors dissecting distinct Mendelian diseases linked to one common gene based on open-access genetic data and highlight the importance of exploring other factors that contributed to phenotypic heterogeneity.

摘要

表型异质性是一种现象,即具有相同基因中致病性变异的个体可能会发展出不同的表型。遗传因素、基因相互作用和环境因素通常被认为是这种现象的关键机制。表型异质性可能会影响疾病严重程度和症状的预后。在我们的工作中,我们使用了公开的遗传变异与孟德尔疾病关联的数据,来研究导致基因-疾病关系异质性的遗传因素(如变异的基因内定位和类型)。首先,我们表明,与多种罕见疾病(GMDs)相关的基因受到更多的限制,并且倾向于在组织中表达高水平的更多转录本。接下来,我们评估了变异定位和变异类型在指定 GMD 变异的确切表型方面的作用。我们发现,这些因素都不足以解释这种基因-疾病关系的异质性现象。总的来说,我们只确定了 38 个基因在变异定位方面存在微弱的显著差异趋势,以及 30 个基因在两种相关疾病的变异类型方面存在名义上的显著差异。值得注意的是,其中四个基因在这两个测试中都显示出显著差异。同时,我们的分析表明,变异定位和类型对于与常染色体显性疾病相关的基因更为重要。总之,我们的结果强调了基于开放获取遗传数据,对导致一种常见基因的不同孟德尔疾病进行基因水平因素分析的重要性,并突出了探索导致表型异质性的其他因素的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d3e/10671084/ef99c96ffb07/genes-14-02100-g001.jpg

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