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以协作杂交多亲群体产生的重组近交系杂交为例,对菌株和起源亲本效应进行联合分析。

Joint Analysis of Strain and Parent-of-Origin Effects for Recombinant Inbred Intercrosses Generated from Multiparent Populations with the Collaborative Cross as an Example.

作者信息

Liu Yanyan, Xiong Sican, Sun Wei, Zou Fei

机构信息

School of Mathematics and Statistics, Wuhan University, Hubei 430072, China.

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109.

出版信息

G3 (Bethesda). 2018 Feb 2;8(2):599-605. doi: 10.1534/g3.117.300483.

Abstract

Multiparent populations (MPP) have become popular resources for complex trait mapping because of their wider allelic diversity and larger population size compared with traditional two-way recombinant inbred (RI) strains. In mice, the collaborative cross (CC) is one of the most popular MPP and is derived from eight genetically diverse inbred founder strains. The strategy of generating RI intercrosses (RIX) from MPP in general and from the CC in particular can produce a large number of completely reproducible heterozygote genomes that better represent the (outbred) human population. Since both maternal and paternal haplotypes of each RIX are readily available, RIX is a powerful resource for studying both standing genetic and epigenetic variations of complex traits, in particular, the parent-of-origin (PoO) effects, which are important contributors to many complex traits. Furthermore, most complex traits are affected by >1 genes, where multiple quantitative trait locus mapping could be more advantageous. In this paper, for MPP-RIX data but taking CC-RIX as a working example, we propose a general Bayesian variable selection procedure to simultaneously search for multiple genes with founder allelic effects and PoO effects. The proposed model respects the complex relationship among RIX samples, and the performance of the proposed method is examined by extensive simulations.

摘要

多亲群体(MPP)已成为复杂性状定位的常用资源,因为与传统的双向重组近交(RI)品系相比,它们具有更广泛的等位基因多样性和更大的群体规模。在小鼠中,协作杂交(CC)是最常用的MPP之一,它由八个遗传背景不同的近交奠基品系衍生而来。一般而言,从MPP特别是从CC中产生RI杂交(RIX)的策略可以产生大量完全可重复的杂合子基因组,这些基因组能更好地代表(远交)人类群体。由于每个RIX的母本和父本单倍型都很容易获得,RIX是研究复杂性状的固定遗传和表观遗传变异,特别是亲本来源(PoO)效应的强大资源,而亲本来源效应是许多复杂性状的重要影响因素。此外,大多数复杂性状受多个基因影响,在此情况下,多数量性状基因座定位可能更具优势。在本文中,对于MPP-RIX数据,但以CC-RIX作为实例,我们提出了一种通用的贝叶斯变量选择程序,以同时搜索具有奠基者等位基因效应和PoO效应的多个基因。所提出的模型考虑了RIX样本之间的复杂关系,并通过大量模拟检验了所提方法的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2565/5919741/616f81e96ef3/599f1.jpg

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