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基于人群样本的动态表型发现 前突变携带者。

Data-driven phenotype discovery of premutation carriers in a population-based sample.

机构信息

Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.

Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.

出版信息

Sci Adv. 2019 Aug 21;5(8):eaaw7195. doi: 10.1126/sciadv.aaw7195. eCollection 2019 Aug.

Abstract

The impact of the premutation on human health is the subject of considerable controversy. A fundamental unanswered question is whether carrying the premutation allele is directly correlated with clinical phenotypes. A challenging problem in past genotype-phenotype studies of the premutation is ascertainment bias, which could lead to invalid research conclusions and negatively affect clinical practice. Here, we created the first population-based -informed biobank to find the pattern of health characteristics in premutation carriers. Our extensive phenotyping shows that premutation carriers experience a clinical profile that is significantly different from controls and is evident throughout adulthood. Comprehensive understanding of the clinical risk associated with this genetic variant is critical for premutation carriers, their families, and clinicians and has important implications for public health.

摘要

前突变对人类健康的影响是一个备受争议的话题。一个尚未得到解答的基本问题是,携带前突变等位基因是否与临床表型直接相关。在过去的前突变基因-表型研究中,一个具有挑战性的问题是确定偏差,这可能导致无效的研究结论,并对临床实践产生负面影响。在这里,我们创建了第一个基于人群的知情生物库,以发现前突变携带者的健康特征模式。我们广泛的表型分析表明,前突变携带者经历的临床特征与对照组明显不同,并且在整个成年期都很明显。全面了解与这种遗传变异相关的临床风险对前突变携带者、他们的家人以及临床医生都至关重要,对公共健康也具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7e7/6703870/6435d45ed6e0/aaw7195-F1.jpg

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