Identifying Candidate Genes for Blood Pressure Quantitative Trait Loci Using Differential Gene Expression and a Panel of Congenic Strains.

作者
George T. Cicila,Soon Jin Lee
出处
期刊:Hypertension Research [Springer Nature]
卷期号:21 (4): 289-296 被引量:14
标识
DOI:10.1291/hypres.21.289
摘要

The most difficult step in dissecting the molecular basis of a quantitative trait is proceeding from chromosomal locations associated with this trait (i.e., quantitative trait locus, QTL) to determining what gene(s) in the QTL region is causative. Using standard positional cloning methodology to identify candidate genes for a particular QTL has three drawbacks: 1) it is labor intensive; 2) defining variants in genes causing quantitative variation from sequence information alone is difficult or impossible; and 3) many (or most) genes in a particular chromosomal interval will not be relevant for a specific disease/trait because they are not expressed in critical candidate organs. Instead of positional cloning, we propose using a panel of congenic strains, where each carries an allele for a different QTL on a similar genetic background, in conjunction with identification of differentially-expressed genes in target organs of inbred strains of contrasting phenotype. This will identify genes having altered expression in organs critical to regulating blood pressure and the development of hypertension. Radiation hybrid mapping of such genes will result in a transcription map of differentially-expressed genes in a target organ of a rat model of genetic hypertension. This approach could rapidly identify genes mapping to genomic regions near QTL, which will be strong candidates to explain, in part, the observed strain differences in blood pressure. This novel approach, which uses a panel of congenic strains to facilitate the mapping and subsequent identification of differentially-expressed and QTL-associated genes, should be applicable to any genetic model for identifying candidate genes located near QTL, given the availability of a panel of congenic strains.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yxw完成签到,获得积分10
刚刚
1秒前
yuhong发布了新的文献求助10
2秒前
称心的谷菱完成签到 ,获得积分10
2秒前
niu发布了新的文献求助10
2秒前
3秒前
小D完成签到,获得积分10
3秒前
3秒前
超级绮波发布了新的文献求助20
3秒前
3秒前
hy发布了新的文献求助10
4秒前
害羞映容完成签到,获得积分10
4秒前
5秒前
5秒前
qwe完成签到,获得积分10
6秒前
6秒前
Pendulium完成签到,获得积分10
6秒前
辣椒鱼完成签到,获得积分10
6秒前
6秒前
Jennie发布了新的文献求助10
7秒前
peng完成签到,获得积分10
8秒前
Sean完成签到,获得积分10
8秒前
123发布了新的文献求助10
8秒前
花满楼完成签到,获得积分20
8秒前
wanglu完成签到,获得积分10
9秒前
赘婿应助顺心电话采纳,获得10
9秒前
秀儿要努力学习完成签到,获得积分10
9秒前
孙文杰完成签到 ,获得积分0
9秒前
orixero应助Eyring_go采纳,获得10
10秒前
10秒前
10秒前
乐乐应助Qionglin采纳,获得10
10秒前
11秒前
对对对完成签到,获得积分10
12秒前
超级绮波发布了新的文献求助20
12秒前
张欢馨应助海蓝云天采纳,获得10
12秒前
英吉利25发布了新的文献求助10
12秒前
飞行模式完成签到,获得积分10
12秒前
xywithxy完成签到 ,获得积分10
12秒前
科研通AI6.4应助lili采纳,获得10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7507094
求助须知:如何正确求助?哪些是违规求助? 9096143
关于积分的说明 19409624
捐赠科研通 7114398
什么是DOI,文献DOI怎么找? 3251888
关于科研通互助平台的介绍 2421204
邀请新用户注册赠送积分活动 2238068