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通过群体基因组学理解疾病易感性。

Understanding Disease Susceptibility through Population Genomics.

作者信息

Han Seonggyun, Lee Junnam, Kim Sangsoo

机构信息

School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.

出版信息

Genomics Inform. 2012 Dec;10(4):234-8. doi: 10.5808/GI.2012.10.4.234. Epub 2012 Dec 31.

DOI:10.5808/GI.2012.10.4.234
PMID:23346035
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3543923/
Abstract

Genetic epidemiology studies have established that the natural variation of gene expression profiles is heritable and has genetic bases. A number of proximal and remote DNA variations, known as expression quantitative trait loci (eQTLs), that are associated with the expression phenotypes have been identified, first in Epstein-Barr virus-transformed lymphoblastoid cell lines and later expanded to other cell and tissue types. Integration of the eQTL information and the network analysis of transcription modules may lead to a better understanding of gene expression regulation. As these network modules have relevance to biological or disease pathways, these findings may be useful in predicting disease susceptibility.

摘要

遗传流行病学研究已经证实,基因表达谱的自然变异具有遗传性且有遗传基础。人们已经鉴定出一些与表达表型相关的近端和远端DNA变异,即表达数量性状基因座(eQTL),最初是在爱泼斯坦-巴尔病毒转化的淋巴母细胞系中发现的,后来扩展到其他细胞和组织类型。整合eQTL信息和转录模块的网络分析可能有助于更好地理解基因表达调控。由于这些网络模块与生物学或疾病途径相关,这些发现可能有助于预测疾病易感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1920/3543923/9cb909221122/gni-10-234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1920/3543923/e9df58f962c6/gni-10-234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1920/3543923/9cb909221122/gni-10-234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1920/3543923/e9df58f962c6/gni-10-234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1920/3543923/9cb909221122/gni-10-234-g002.jpg

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本文引用的文献

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Unraveling the regulatory mechanisms underlying tissue-dependent genetic variation of gene expression.解析组织依赖性基因表达遗传变异的调控机制。
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