在阿斯巴拉金合成酶缺乏变体分类中AlphaMissense预测的实用性
Stephen J Staklinski1,2, Armin Scheben1, Adam Siepel1
1Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724.
bioRxiv : the preprint server for biology
|November 14, 2023
概括
AlphaMissense有效地对阿斯巴拉金合成酶缺乏症 (ASNSD) 的遗传变异进行了分类. 该工具通过预测变异病原性来帮助诊断ASNSD,为患者和家人提供清晰度.
科学领域:
- 遗传学 是一个遗传学.
- 计算生物学 计算生物学
- 生物化学 生物化学
背景情况:
- 阿斯巴拉金合成酶缺乏症 (ASNSD) 是一种严重的发育障碍,与阿斯巴拉金合成酶 (ASNS) 基因突变有关.
- 准确地将ASNS变种分类为致病性或良性,对于ASNSD诊断至关重要.
- 当前的诊断方法需要强大的工具来解释变异.
研究的目的:
- 评估AlphaMissense的实用性,这是一个新型变异分类工具,用于阿斯巴拉金合成酶缺乏症 (ASNSD).
- 将AlphaMissense与已知的关键残留物和ASNS基因中报告的变异进行基准测试.
- 评估AlphaMissense在与ASNSD相关的致病变体分类方面的表现.
主要方法:
- 在ASNS活性部位和分子内道中对已知关键残留物进行AlphaMissense的基准测试.
- 评估AlphaMissense在之前报告的ASNSD相关变异的精选清单上的表现.
- 开发一个管道来计算任何UniProt蛋白的AlphaMissense分数.
主要成果:
- 对于已知的关键ASNS残留物,AlphaMissense赋予了高致病性得分.
- 该工具成功地将78.9%的已知的ASNSD相关误解变异分类为致病性.
- 其余的变种主要被归类为模两可的,只有少数被归类为良性的.
结论:
- 在疑似ASNSD病例中,AlphaMissense显示了对ASNS变异的分类有很大的潜力.
- 该工具可以加快诊断,并减少患者和家人的不确定性.
- AlphaMissense为ASNSD的变体解释提供了一个宝贵的资源.
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