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利用多样化的基因组数据来指导公平的载体查:来自gnomAD v.4.1.0的见解

Matthew J Schmitz¹, Aryan Bashar², Vishal Soman³

¹Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

American journal of human genetics

|November 30, 2024

概括

这项研究分析了超过70万个外体,以识别用于对自身逆性疾病的载体查的基因. 研究结果提供了一个最新的基因列表,用于在多种不同人群中进行公平的遗传载体查.

科学领域:

基因组学就是基因组学.
医学遗传学医学遗传学
人口遗传学人口遗传学

背景情况:

携带者查对于生殖性伴侣来说至关重要,以评估他们生育自体逆行性疾病的孩子的风险.
目前的指导方针建议对基因进行查,其载体频率至少为1/200,并与中度/严重疾病相关.

研究的目的:

使用gnomAD v.4.1.0外体数据系统地分析与自身逆性疾病相关的基因中的致病性/可能致病性变异的载体频率.
确定运载体查面板候选基因的最新列表,这些基因在各种祖先种群中是公平的.

主要方法:

分析了来自八个祖先的gnomAD v.4.1.0的70多万个exomes.
在2987个与自身逆性疾病相关的基因中,估计了致病性/可能致病性变异的载体频率.
鉴定基因的临床严重性和应用美国医学遗传学和基因组学学院 (ACMG) 查标准的专家策划.

主要成果:

鉴定了286个基因,符合基于载体频率和临床严重程度的载体查标准.
携带者频率在不同种群中显著变化,观察到显著差异 (例如,南亚的40个基因与阿什基纳兹犹太祖先的119个基因).
模拟表明,泛种族查小组对不同或混合祖先的个人有利.

结论:

该研究提供了一个更新的,全面的候选基因列表,用于公平的载体查,利用迄今为止最大的外体数据集.
这些发现强调了考虑人口特异性载体频率对于有效的基因查的重要性.
强调需要扩大基因组资源,特别是代表性不足的群体,以改善罕见疾病风险评估和查工作.

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