An Accidental Genetic Epidemiologist.

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
ACS Applied Polymer Materials Pub Date : 2020-08-31 Epub Date: 2020-01-14 DOI:10.1146/annurev-genom-103119-125052
Robert C Elston
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引用次数: 0

Abstract

I briefly describe my early life and how, through a series of serendipitous events, I became a genetic epidemiologist. I discuss how the Elston-Stewart algorithm was discovered and its contribution to segregation, linkage, and association analysis. New linkage findings and paternity testing resulted from having a genotyping lab. The different meanings of interaction-statistical and biological-are clarified. The computer package S.A.G.E. (Statistical Analysis for Genetic Epidemiology), based on extensive method development over two decades, was conceived in 1986, flourished for 20 years, and is now freely available for use and further development. Finally, I describe methods to estimate and test hypotheses about familial correlations, and point out that the liability model often used to estimate disease heritability estimates the heritability of that liability, rather than of the disease itself, and so can be highly dependent on the assumed distribution of that liability.

偶然遗传流行病学家。
我简要地描述了我的早年生活,以及通过一系列偶然事件,我如何成为一名遗传流行病学家。我讨论了Elston-Stewart算法是如何被发现的,以及它对分离、链接和关联分析的贡献。新的连锁发现和亲子鉴定是由基因分型实验室产生的。澄清了相互作用的不同含义——统计意义和生物学意义。计算机软件包S.A.G.E.(遗传流行病学统计分析)是在二十多年的广泛方法发展的基础上,于1986年构思出来的,繁荣了20年,现在可以免费使用和进一步发展。最后,我描述了估计和测试关于家族相关性假设的方法,并指出通常用于估计疾病遗传性的责任模型估计的是该责任的遗传性,而不是疾病本身,因此可能高度依赖于该责任的假设分布。
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
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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