linkstream2 microblog

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.
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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

http://science.sciencemag.org/content/359/6376/693.full
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perspective
http://science.sciencemag.org/content/359/6376/619.full

Gene Expression Overlaps Among Psychiatric Disorders

Transcriptional profiling of post-mortem human brains reveals commonalities in the genes over- and under-expressed in schizophrenia, bipolar disorder, autism, and major depression.

Understanding the Brain: The Neurobiology of Everyday Life
https://www.coursera.org/learn/neurobiology

http://blog.everydayscientist.com/?p=517

A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in #eQTL Studies http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000770 Early discussion & development of PEER factors

http://protomag.com/articles/code-autism

Eval of Chromatin Accessibility [via #ATACSeq] in DLPFC of SCZ Cases/Ctrls, by @JulienBryois et al.
http://www.BiorXiv.org/content/early/2017/05/25/141986 List of cQTLs

http://genome-tech.ucsd.edu/public/Lake_Science_2016/
https://twitter.com/mikejg84/status/880240608144531456

16 Neuronal subtypes & [inter-regional] diversity revealed by [#singlecell]-nucleus RNAseq of…the brain
http://science.sciencemag.org/content/352/6293/1586.long

Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain.
Lake BB, Ai R, Kaeser GE, Salathia NS, Yung YC, Liu R, Wildberg A, Gao D, Fung HL, Chen S, Vijayaraghavan R, Wong J, Chen A, Sheng X, Kaper F, Shen R, Ronaghi M, Fan JB, Wang W, Chun J, Zhang K.
Science. 2016 Jun 24;352(6293):1586-90. doi: 10.1126/science.aaf1204.

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

The impact of #SVs on…gene expression
http://biorxiv.org/content/early/2016/06/09/055962 24k in 147 people in GTEx pilot act as causal variants in 3-7% of ~25k eQTLs

The impact of structural variation on human gene expression

Colby Chiang, Alexandra J Scott, Joe R Davis, Emily
K Tsang, Xin Li, Yungil Kim, Farhan N Damani, Liron Ganel, GTEx Consortium, Stephen B Montgomery, Alexis Battle, Donald F Conrad, Ira M Hall
doi: https://doi.org/10.1101/055962