与单一性疾病相关的基因中预测的功能丧失变异的聚类可以解释不完全的透率
Robin N Beaumont1, Gareth Hawkes2, Adam C Gunning2,3
1Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX1 2LU, UK. r.beaumont@exeter.ac.uk.
Genome medicine
|April 26, 2024
概括
遗传变异位置影响疾病相关性. 在特定基因区域中预测的功能丧失 (pLoF) 变异可能解释在门德尔条件下不完全透,突出显示在变异解释中需要局部约束指标.
科学领域:
- 遗传学 是一个遗传学.
- 基因组医学是基因组医学.
- 生物信息学是一种生物信息学.
背景情况:
- 严重改变蛋白质产品的基因变异,如无意义和移突变,经常与疾病有关.
- 预测的功能丧失 (pLoF) 变体可以均分布或在特定基因区域内局部化.
- 单源性疾病的不完全透性表明,一些携带致病变体的个体可能不会表现出症状,可能是由于变体的位置.
研究的目的:
- 调查pLoF变体的位置是否可以解释在门德尔条件下不完全透.
- 测试假设,pLoF变种在未受影响的个体中仅限于它们被容忍的区域.
主要方法:
- 利用来自454,773名英国生物库参与者的外体序列数据来分析pLoF变体的位置.
- 在蛋白质编码基因的编码序列 (CDS) 中计数和集群pLoF,误解和同义变体.
- 与理论上可能的pLoFs和ClinVar的致病变体比较了英国生物库队列中的变体分布,使用模拟来评估假阳性率.
主要成果:
- 由于哈普洛缺陷导致的发育障碍相关的基因与其他基因相比显示出明显不那么均的pLoF分布.
- 鉴定了特定的基因 (例如,ARID1B,GATA6),在最初的CDS季度pLoF变异因替代翻译起点而不是致病性.
- 观察到的基因 (例如,ODC1) 具有均的pLoF分布,但在末端聚集了致病变体,这表明了功能获取机制.
结论:
- 局部化约束指标为变量解释提供了潜在的好处.
- 在评估病原性和了解疾病透性时,pLoF变异的空间分布是需要考虑的关键因素.
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