https://mailchi.mp/add7f814b67d/neurodevelopments-720229
https://www.libd.org/neurodevelopments/
the Lieber’s neuroDEVELOPMENTS newsletter, which features the PsychENCODE paper
https://www.nature.com/articles/nature25980
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Suijuan Zhong
, Shu Zhang
[…]
Xiaoqun Wang
Nature
doi:10.1038/nature25980
Common #schizophrenia alleles are enriched in mutation-intolerant genes & in regions under strong background selection
https://www.nature.com/articles/s41588-018-0059-2 50 novel SCZ loci & 145 loci in total, from #GWAS – associated w/ 33 candidate causal genes
QT:{{”
We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci.
“}}
Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
Nature Genetics (2018)
doi:10.1038/s41588-018-0059-2
Brain #transcriptome diversity at the single cell level
http://www.PNAS.org/content/112/23/7285 Has useful gene-exp. profiles of specific neural cell types
has profiles for 185 biomarker genes for 6 cell types
https://bioconductor.org/packages/release/bioc/html/variancePartition.html
new tool in psychencode meeting
A solution to a perennial problem: Co-first “author ordering determined by coin flip” – eg
http://onlinelibrary.wiley.com/wol1/doi/10.1002/anie.201604431/full & https://arxiv.org/pdf/1412.6980v8.pdf
similar
https://arxiv.org/pdf/1412.6980v8.pdf
∗Equal contribution. Author ordering determined by coin flip over a Google Hangout.
Similarity #network fusion for aggregating data types
http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2810.html Combines mRNA, miRNA & gene fusions to classify cancer subtypes http://compbio.cs.toronto.edu/SNF/SNF
#Singlecell ChIPseq reveals…subpopulations defined by chromatin statehttp://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3383.html Sparse data: on order of 1K uniq. reads/cell
http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3383.html