Rare variant association studies: considerations, challenges and opportunities.

Rare variant association studies: considerations, challenges and opportunities.
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DOI:
10.1186/s13073-015-0138-2
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发表时间:
2015
期刊:
影响因子:
12.3
通讯作者:
Lettre G
Lettre G
中科院分区:
生物学1区
文献类型:
--
作者:
Auer PL;Lettre G

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Genome-wide association studies (GWASs) have successfully uncovered thousands of robust associations between common variants and complex traits and diseases. Despite these successes, much of the heritability of these traits remains unexplained. Because low-frequency and rare variants are not tagged by conventional genome-wide genotyping arrays, they may represent an important and understudied component of complex trait genetics. In contrast to common variant GWASs, there are many different types of study designs, assays and analytic techniques that can be utilized for rare variant association studies (RVASs). In this review, we briefly present the different technologies available to identify rare genetic variants, including novel exome arrays. We also compare the different study designs for RVASs and argue that the best design will likely be phenotype-dependent. We discuss the main analytical issues relevant to RVASs, including the different statistical methods that can be used to test genetic associations with rare variants and the various bioinformatic approaches to predicting in silico biological functions for variants. Finally, we describe recent rare variant association findings, highlighting the unexpected conclusion that most rare variants have modest-to-small effect sizes on phenotypic variation. This observation has major implications for our understanding of the genetic architecture of complex traits in the context of the unexplained heritability challenge.
来自1,092个人基因组的遗传变异的综合图。
DOI: 10.1038/nature11632
发表时间: 2012-11-01
期刊: Nature
影响因子: 64.8
作者:
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DOI: 10.1101/gr.137323.112
发表时间: 2012-09
期刊: Genome research
影响因子: 7
作者:
Boyle AP;Hong EL;Hariharan M;Cheng Y;Schaub MA;Kasowski M;Karczewski KJ;Park J;Hitz BC;Weng S;Cherry JM;Snyder M
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发表时间: 2012-11-02
影响因子: 9.8
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通讯作者: Li, Yun
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发表时间: 2013-11-01
期刊: BIOINFORMATICS
影响因子: 5.8
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DOI: 10.1155/2013/730210
发表时间: 2013
影响因子: --
作者:
Dolled-Filhart MP;Lee M Jr;Ou-Yang CW;Haraksingh RR;Lin JC
通讯作者: Lin JC