-
Review
Lessons from postgenome-wide association studies: functional analysis of cancer predisposition loci.
- A N A Monteiro and M L Freedman.
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
- J. Intern. Med. 2013 Nov 1; 274 (5): 414424414-24.
AbstractIn the last few years, genome-wide association studies (GWASs) have identified hundreds of predisposition loci for several types of human cancers. Recent progress has been made in determining the underlying mechanisms through which different single-nucleotide polymorphisms (SNPs) affect predisposition to cancer. Although there has been much debate about the clinical utility of GWASs, less attention has been paid to how GWASs and post-GWASs functional analysis have contributed to understanding the aetiology of cancer. Most common variants associated with cancer risk are localized in nonprotein-coding regions highlighting transcriptional regulation as a common theme in the mechanism of cancer predisposition. Here, we outline strategies to functionally dissect predisposition loci and discuss their limitations as well as challenges for future studies.© 2013 The Association for the Publication of the Journal of Internal Medicine.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.