Archive for the 'SciLit' Category

A comprehensive transcriptional map of primate brain development

June 19, 2017

A…transcriptional map of primate (macaque) #brain development http://www.Nature.com/nature/journal/vaop/ncurrent/full/nature18637.html Gene expression changes more rapidly before birth
Nature (2016) doi:10.1038/nature18637

An Expanded View of Complex Traits: From Polygenic to Omnigenic: Cell

June 19, 2017

Thought-provoking calculations, perhaps suggesting that ever bigger association studies won’t yield useful results
https://twitter.com/joe_pickrell/status/875406448716632064

http://www.cell.com/cell/abstract/S0092-8674(17)30629-3

An Expanded View of Complex Traits: From Polygenic to Omnigenic

Evan A. Boyle
Yang I. Li
Jonathan K. Pritchard
DOI: http://dx.doi.org/10.1016/j.cell.2017.05.038

Journal Club Paper

June 18, 2017

Zhou, J. and Troyanskaya, O.G. (2015). Predicting effects of noncoding variants with deep learning–based sequence model. Nature Methods, 12, 931–934.

Predicting (& prioritizing) effects of noncoding variants w. [DeepSEA] #DeepLearning…model
https://www.Nature.com/nmeth/journal/v12/n10/full/nmeth.3547.html Trained w #ENCODE data

Proportionality: A Valid Alternative to Correlation for Relative Data

June 12, 2017

A Valid Alternative to #Correlation for Rel. Data
http://journals.PLoS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004075 Illustrates how r fails on simple expression expts HT @mason_lab

https://twitter.com/mason_lab/status/870643989246074881

A Big Bang model of human colorectal tumor growth : Nature Genetics : Nature Research

June 7, 2017

https://www.nature.com/ng/journal/v47/n3/full/ng.3214.html

Big Bang model of…tumor growth, v. slow #evolution under selection https://www.Nature.com/ng/journal/v47/n3/full/ng.3214.html #Cancer is born w/ key mutations all there

Andrea Sottoriva,
Haeyoun Kang,
Zhicheng Ma,
Trevor A Graham,
Matthew P Salomon,
Junsong Zhao,
Paul Marjoram,
Kimberly Siegmund,
Michael F Press,
Darryl Shibata
& Christina Curtis

Nature Genetics 47, 209–216 (2015) doi:10.1038/ng.3214

Common SNPs explain a large proportion of the heritability for human height : Nature Genetics : Nature Research

June 2, 2017

Common SNPs explain a large proportion (45%) of heritability for…height (85%)
http://www.Nature.com/ng/journal/v42/n7/abs/ng.608.html Cf 2010 GWASes could only explain 5%

Jian Yang,
Beben Benyamin,
Brian P McEvoy,
Scott Gordon,
Anjali K Henders,
Dale R Nyholt,
Pamela A Madden,
Andrew C Heath,
Nicholas G Martin,
Grant W Montgomery,
Michael E Goddard
& Peter M Visscher

Nature Genetics 42, 565–569 (2010) doi:10.1038/ng.608

QT:{{”
…conveniently implemented with a mathematically equivalent model that uses the SNPs to calculate the genomic relationship between pairs of subjects). Using this approach, we estimated the proportion of pheno­typic variance explained by the SNPs as 0.45 (s.e. = 0.08, Table 1), a nearly tenfold increase relative to the 5% explained by published and validated individual SNPs
“}}

CATO score

May 28, 2017

Seq. variants influencing…TF occupancy
http://www.Nature.com/ng/journal/v47/n12/full/ng.3432.html Uses allelic analysis to develop the CATO score, how variants alter binding

QT:{{”
This approach resulted in a simple scoring scheme, termed contextual analysis of transcription factor occupancy (CATO), that provides a recalibrated probability of affecting the binding of any transcription factor, as well as a quantitatively ranked list of transcription factor families whose binding might be altered.
“}}

The structural repertoire of the human V kappa domain. – PubMed – NCBI

May 16, 2017

https://www.ncbi.nlm.nih.gov/pubmed/7556106

Standard conformations for the canonical structures of immunoglobulins. – PubMed – NCBI

May 16, 2017

https://www.ncbi.nlm.nih.gov/pubmed/9367782

Conformations of the third hypervariable region in the VH domain of immunoglobulins. – PubMed – NCBI

May 16, 2017

https://www.ncbi.nlm.nih.gov/pubmed/9466909