人类和灵长类动物所能容忍的基因变异
Hong Gao1, Tobias Hamp1, Jeffrey Ede1
1Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA, 94404, USA.
概括
科学家使用灵长类基因组数据识别数百万个人类基因变异. 这种方法有助于确定哪些变体可能是良性的,从而改善遗传疾病的诊断.
科学领域:
- 基因组学
- 进化生物学
- 计算生物学
背景情况:
- 个性化基因组测序揭示了许多遗传差异, 但它们的临床意义往往不清楚.
- 了解人类遗传变异的功能影响对于诊断遗传疾病至关重要.
研究的目的:
- 系统地解读人类遗传变异的临床相关性.
- 开发一种方法来分类蛋白质改变变异的致病性.
主要方法:
- 分析了233种灵长类动物中的809个个体的全基因组测序数据.
- 鉴定了430万个常见的蛋白质改变变体与人类的正确基因.
- 使用深度学习模型来归因变异性病原性.
主要成果:
- 在灵长类物种中发现了数百万种常见的蛋白质改变变体.
- 根据灵长类动物的高基因频率,将6%的人类蛋白质改变变体归类为可能良性.
- 在使用深度学习诊断致病变体方面取得了最先进的准确性.
结论:
- 灵长类基因组数据为评估人类遗传变异效应提供了宝贵的资源.
- 这种方法提高了遗传变异的分类,有助于诊断遗传疾病.
- 变种致病性的深度学习归因为临床基因组学提供了强大的工具.
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