The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss.

IF 4.6 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Morag A Lewis, Bradley A Schulte, Judy R Dubno, Karen P Steel
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引用次数: 0

Abstract

Age-related hearing loss (ARHL) is a common, complex disease with high heritability, but its underlying genetic landscape remains unclear. Studying such a condition requires large cohorts, detailed genotyping, and deep phenotyping. However, while large cohorts with next-generation sequence data are becoming increasingly common, the challenge of administering audiometric tests at scale has meant that in-depth auditory phenotyping is rarely included. Here we present our analyses of three cohorts with different forms of phenotype data, which reveal the differences made by even small changes in phenotyping. Detailed audiometry enables interrogation of genetic data by auditory phenotypes, but if these data are not available, self-reports of hearing difficulty may also serve. However, relying on medical records alone is ineffective for classifying biobank participants for a common condition like ARHL, and is likely to result in many people being wrongly classified in the control group.

准确的表型在听力损失等常见疾病的大规模分析中的重要性。
年龄相关性听力损失(ARHL)是一种常见的复杂疾病,具有高遗传性,但其潜在的遗传景观尚不清楚。研究这种情况需要大量的队列、详细的基因分型和深入的表型分型。然而,虽然具有下一代序列数据的大型队列越来越普遍,但大规模进行听力测试的挑战意味着很少包括深度听觉表型。在这里,我们提出了我们的分析与不同形式的表型数据的三个队列,这揭示了差异,甚至在表型上的微小变化。详细的听力测量可以通过听觉表型来询问基因数据,但如果这些数据不可用,听力困难的自我报告也可以起作用。然而,仅依靠医疗记录对ARHL等常见疾病的生物库参与者进行分类是无效的,并且可能导致许多人被错误地分类为对照组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Human Genetics
European Journal of Human Genetics 生物-生化与分子生物学
CiteScore
9.90
自引率
5.80%
发文量
216
审稿时长
2 months
期刊介绍: The European Journal of Human Genetics is the official journal of the European Society of Human Genetics, publishing high-quality, original research papers, short reports and reviews in the rapidly expanding field of human genetics and genomics. It covers molecular, clinical and cytogenetics, interfacing between advanced biomedical research and the clinician, and bridging the great diversity of facilities, resources and viewpoints in the genetics community. Key areas include: -Monogenic and multifactorial disorders -Development and malformation -Hereditary cancer -Medical Genomics -Gene mapping and functional studies -Genotype-phenotype correlations -Genetic variation and genome diversity -Statistical and computational genetics -Bioinformatics -Advances in diagnostics -Therapy and prevention -Animal models -Genetic services -Community genetics
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