Posts Tagged ‘paperE’

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

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
“}}

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

June 1, 2017

http://www.nature.com/ng/journal/v42/n7/abs/ng.608.html

Common SNPs explain a large proportion of the heritability for human height

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
"}}

Common SNPs explain a large proportion (45%) of heritability for…height (80%) http://www.Nature.com/ng/journal/v42/n7/abs/ng.608.html Vs ’10 GWAS SNPs could only expl. 5%

Genes, environment, and “bad luck” | Science

March 26, 2017

Genes, environment & bad luck
http://science.ScienceMag.org/content/355/6331/1266 To what degree are #cancer mutations due to replication error (3rd factor), not 1st 2?

discusses R v D correlation

Stem cell divisions, somatic mutations, cancer etiology, and cancer prevention Cristian Tomasetti1,2,*, Lu Li2, Bert Vogelstein3,*
Science 24 Mar 2017:
Vol. 355, Issue 6331, pp. 1330-1334
DOI: 10.1126/science.aaf9011
http://science.sciencemag.org/content/355/6331/1330

High-throughput discovery of novel developmental phenotypes : Nature : Nature Research

September 22, 2016

HTP discovery of novel developmental #phenotypes
http://www.nature.com/nature/journal/v537/n7621/full/nature19356.html New list of essential genes for the mouse, upping number to ~2900