Suppr超能文献

低外显率癌症易感性等位基因的搜寻。

The search for low-penetrance cancer susceptibility alleles.

作者信息

Houlston Richard S, Peto Julian

机构信息

Section of Cancer Genetics, Institute of Cancer Research, Sutton, Surrey, SM2 5NG, UK.

出版信息

Oncogene. 2004 Aug 23;23(38):6471-6. doi: 10.1038/sj.onc.1207951.

Abstract

Much of the familial aggregation of common cancer results from inherited susceptibility, but highly penetrant mutations in known genes cannot account for most of the excess. Some of the unexplained familial risk is presumably due to high-penetrance mutations in as yet unidentified genes, but polygenic mechanisms are likely to account for a greater proportion, particularly in breast cancer. This inference, coupled with technological developments, has led to a renaissance in association studies. Most such studies have evaluated small numbers of single-nucleotide polymorphisms (SNPs) in a few candidate genes, but reliable high-density oligonucleotide arrays and other novel techniques will allow genome-wide allelic association studies to be conducted. High-density genome-wide SNP analysis will include targets identified by structural considerations, as well as the growing list of candidate genes. In the longer term, high-throughput re-sequencing will be required to identify the rare pathogenic variants that may constitute the majority of low-penetrance alleles. The detection of low-penetrance cancer susceptibility genes will then be restricted mainly by the availability of large numbers of well-characterized cases and controls. Cancer patients with affected relatives are considerably more informative than unselected cases for such studies.

摘要

常见癌症的家族聚集现象大多源于遗传易感性,但已知基因中的高外显率突变并不能解释大部分超额患病风险。部分无法解释的家族性风险可能归因于尚未鉴定的基因中的高外显率突变,但多基因机制可能占更大比例,尤其是在乳腺癌中。这一推断,再加上技术发展,引发了关联研究的复兴。大多数此类研究评估了少数候选基因中的少量单核苷酸多态性(SNP),但可靠的高密度寡核苷酸阵列和其他新技术将使全基因组等位基因关联研究得以开展。全基因组高密度SNP分析将包括基于结构考虑确定的靶点,以及越来越多的候选基因。从长远来看,需要高通量重测序来识别可能构成大多数低外显率等位基因的罕见致病变异。届时,低外显率癌症易感基因的检测将主要受限于大量特征明确的病例和对照的可获得性。对于此类研究,有患病亲属的癌症患者比未经选择的病例提供的信息要多得多。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验