Basic principles and laboratory analysis of genetic variation.

IARC scientific publications Pub Date : 2011-01-01
Jesus Gonzalez-Bosquet, Stephen J Chanock
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Abstract

With the draft of the human genome and advances in technology, the approach toward mapping complex diseases and traits has changed. Human genetics has evolved into the study of the genome as a complex structure harbouring clues for multifaceted disease risk with the majority still unknown. The discovery of new candidate regions by genome-wide association studies (GWAS) has changed strategies for the study of genetic predisposition. More genome-wide, "agnostic" approaches, with increasing numbers of participants from high-quality epidemiological studies are for the first time replicating results in different settings. However, new-found regions (which become the new candidate "genes") require extensive follow-up and investigation of their functional significance. Understanding the true effect of genetic variability on the risk of complex diseases is paramount. The importance of designing high-quality studies to assess environmental contributions, as well as the interactions between genes and exposures, cannot be stressed enough. This chapter will address the basic issues of genetic variation, including population genetics, as well as analytical platforms and tools needed to investigate the contribution of genetics to human diseases and traits.

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遗传变异的基本原理和实验室分析。
随着人类基因组的草图和技术的进步,绘制复杂疾病和特征的方法已经发生了变化。人类遗传学已经发展成为对基因组的研究,作为一个复杂的结构,隐藏着多方面疾病风险的线索,其中大多数仍然未知。全基因组关联研究(GWAS)新候选区域的发现改变了遗传易感性研究的策略。更多的全基因组、“不可知论”方法,以及来自高质量流行病学研究的越来越多的参与者,首次在不同的环境中复制结果。然而,新发现的区域(成为新的候选“基因”)需要对其功能意义进行广泛的跟踪和研究。了解遗传变异对复杂疾病风险的真正影响是至关重要的。设计高质量的研究来评估环境的贡献,以及基因和暴露之间的相互作用的重要性,怎么强调都不为过。本章将讨论遗传变异的基本问题,包括群体遗传学,以及研究遗传学对人类疾病和性状的贡献所需的分析平台和工具。
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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