linkstream2 microblog

Cancer Risk Increases With Height: +4-inch in height => +13% in risk for developing any #cancer
http://well.blogs.nytimes.com/2013/07/25/cancer-risk-increases-with-height #health via @nytimes

QT:”
They found that for every 4-inch change in height, there was a 13 percent increase in risk for developing any type of cancer. The cancers most strongly associated with height were cancers of the kidney, rectum, thyroid and blood. Risk for those cancers increased by 23 to 29 percent for every 4-inch increase in height.
“

MT @hlatim: Checkpoint Charlie | Economist http://bit.ly/137nZLO checkpoint inhibitors for lymphocyte proliferation, which combats #cancer

http://www.economist.com/news/science-and-technology/21578986-new-class-drugs-being-deployed-struggle-against-cancer-checkpoint

The Exomes of the NCI-60 Panel: A Genomic Resource for Cancer Biology and Systems Pharmacology
Cancer Res July 15, 2013 73:4372-4382; Published OnlineFirst July 15, 2013; http://cancerres.aacrjournals.org/content/73/14/4372.long

http://well.blogs.nytimes.com/2013/07/05/skin-cancer-on-the-rise-in-young-women

Deciding how much sun you want… is like asking how much cyanide you want: @nytimes on skin cancer http://bit.ly/15slMNB via @BlossomJar

QT:’
Even a few sunburns can significantly raise your risk of skin cancer, Dr. Brewer said.
“Deciding how much sun you want to get is like asking how much cyanide you want in your breakfast cereal,” he said. “There is no amount of tan that is healthy.”
‘

Accounting for mutational heterogeneity in identifying cancer genes… MutSigCV by @broadinstitute via @notSoJunkDNA: http://bit.ly/14EPvVx http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12213.html doi:10.1038/nature12213

Integrated analysis of recurrent properties of cancer genes to identify novel drivers

http://genomebiology.com/2013/14/5/R52/abstract

Baca et al
http://www.cell.com/abstract/S0092-8674%2813%2900343-7

the shattering of chromosomes, w. 7 criteriaKorbel & Campbell

http://www.ncbi.nlm.nih.gov/pubmed/23498933

http://cancerres.aacrjournals.org/content/73/6/1699.long
Nice use of CCLE dataset which is an improvement over NCI-60

CRAVAT
Cancer-Related Analysis of VAriants Toolkit
http://www.cravat.us/

Carter H, Douville C, Yeo G, Stenson PD, Cooper DN, Karchin R (2013) Identifying Mendelian disease genes with the Variant Effect Scoring Tool
BMC Genomics. In press

VAAST
http://www.yandell-lab.org/software/vaast.html
(explicit acknowledgement of VAT)

CHASM and SNVBox:
toolkit for detecting biologically important single nucleotide mutations in cancer.
http://www.ncbi.nlm.nih.gov/pubmed/21685053
http://www.chasmsoftware.org

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http://lane.compbio.cmu.edu/meetings/apga/