Opportunities and challenges for the use of common controls in sequencing studies.

Opportunities and challenges for the use of common controls in sequencing studies.
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DOI:
10.1038/s41576-022-00487-4
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发表时间:
2022-11
期刊:
Nature reviews. Genetics
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其他
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使用大规模基因组和外显子组测序数据的全基因组关联研究在确定基因变异和疾病之间的关联、转变基础研究和转化医学方面变得越来越有价值。然而,这一进展并没有在所有人和所有条件下平等分享,部分原因是资源有限。利用可公开获得的测序数据作为外部公共对照,而不是为每项研究测序新的对照,可以通过扩大对照样本量或在没有对照的地方提供对照来更好地分配资源。然而,共同的对照研究必须仔细计划和执行,因为即使在样本确定和处理方面的微小差异也可能导致严重的偏差。在这里,我们讨论在高通量测序研究中稳健使用公共对照的挑战和机会,包括研究设计、平等控制和统计方法。深思熟虑地产生和使用大型和有价值的基因测序数据集,将能够比其他方式更广泛和更具代表性的条件、环境和遗传祖先集进行调查。
Genome-wide association studies using large-scale genome and exome sequencing data have become increasingly valuable in identifying associations between genetic variants and disease, transforming basic research and translational medicine. However, this progress has not been equally shared across all people and conditions, in part due to limited resources. Leveraging publicly available sequencing data as external common controls, rather than sequencing new controls for every study, can better allocate resources by augmenting control sample sizes or providing controls where none existed. However, common control studies must be carefully planned and executed as even small differences in sample ascertainment and processing can result in substantial bias. Here, we discuss challenges and opportunities for the robust use of common controls in high-throughput sequencing studies, including study design, equality control and statistical approaches. Thoughtful generation and use of large and valuable genetic sequencing data sets will enable investigation of a broader and more representative set of conditions, environments and genetic ancestries than otherwise possible.
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