Next up is Jill Moore - talking about "Cell type-specific regulatory landscapes defined across murine brain development reveal novel biological insights for genetic variants associated with neuropsychiatric disorders" #ASHG20
ENCODE consortium recently published a dataset of candidate cis-regulatory elements across mouse and human genomes. Mouse data is unique because it was a coordinated effort across labs for 8 developmental stages and 12 tissues - enables integrative analysis #ASHG20
Mouse data matrix is much richer than for human. Keen to use mouse data to inform studies of human. See homologous CCREs, CCREs that map only, and CCREs that don't map. Most PLS[?] CCREs map to human genome. Distal enhancers map more poorly #ASHG20
Most conserved mouse brain cCREs are also active in foetal human brain. Can define regulatory landscapes in mouse, and then use these to inform human studies. #ASHG20
Temporal clustering of gene expression generates four sets (increase, dynamic increase, decrease, dynamic decrease). See consistency across tissues. Want to link enhancer-gene across cell types and species #ASHG20
Integrated snATAC-seq data to identify developmental stage-specific cell types. Used regulatory landscapes to annotate GWAS. #ASHG20
Applying to shared GWAS of ASD and SCZ, identified enrichments in neurons. Selected 16 targets for functional validation. 30% showed enhancer enhancer activity. #ASHG20
Focus on rs13031349 - putative causal variant for SCZ, lies in a genomic region only active in brain development. Lies in AGAP1 gene in human and mouse, but seems to act on GBX2 (closer TSS to variant). Need further evidence that GBX2 is the target #ASHG20
Alternative allele results in weaker enhancer activity in neural tube of mouse #ASHG20

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30 Oct
Finally, Margot Cousin presents on "Impairment of the mitochondrial one-carbon metabolism enzyme SHMT2 causes a novel brain and heart developmental syndrome" #ASHG20
SHMT2 - encodes mitochondrial serine hydroxymethyltransferase 2. Key roles in amino acid metabolism and folic acid pathways, as well as mitochondrial respiration and protein translocation #ASHG20
Identified 4 individuals with biallelic SHMT2 variants. One individual has a variant disrupting a splice site. Other variants are missense on highly conserved residues, and are absent/extremely rare in gnoMAD. Variable dysmorphic features. Others incl. developmental delay #ASHG20
Read 8 tweets
30 Oct
Next up is Helen Miranda discussing "Increased p4EBP1 underlies ALS pathology associated to P56S mutant VAPB" #ASHG20
ALS is the most common adult-onset neurodegenerative disorder. 50% of patients do not survive beyond third year of diagnosis. Pathophysiology across upper and lower motor neurones. 90% of cases are sporadic in presentation. #ASHG20
Mutations in >25 genes have been associated in ALS. Focus on VAPB. Highly conserved gene that is ubiquitously expression. P56S mutation is the causative gene for ALS type 8 - mostly identified in Brazilian population, but has been identified globally. #ASHG20
Read 8 tweets
30 Oct
Next up is Victor Faundes, who will talk about Impaired eIF5A function causes a craniofacial-neurodevelopmental syndrome that is partially rescued in model systems by spermidine #ASHG20
EIF5A was identified as a candidate developmental disorder gene through WES. Used the DDD resource to identify a further 6 individuals with EIF5A variants, defined a novel syndrome of developmental delay and other features #ASHG20
EIF5A resolves ribosomal stalling caused by polyproline tracts. Aimed to understand how this is disrupted by the variants seen in patients. Haploinsufficiency is the most likely mechanism #ASHG20
Read 7 tweets
30 Oct
Slightly late into the fourth plenary: David Blair discussing "Common genetic variants associated with Mendelian disease severity revealed through cryptic phenotype analysis" #ASHG20
Cryptic phenotypes are phenotypes that underlie mendelian diseases, but which are not observed. For some, this will be a liability-threshold model (mendelian as extreme of normal range), but for others it will be a phenotypic outlier model (mendelian as truly separate) #ASHG20
Need models that differentiate between the models. May be morbidity-dependent genetic modifiers - e.g. may not see effects looking at the average of the population, but may see it at the extreme percentiles of severity #ASHG20
Read 7 tweets
30 Oct
Elise Flynn will end the session, talking about "Transcription factor regulation of genetic variant effects across tissues and individuals" #ASHG20
Genetic variants associated with gene expression = eQTL #ASHG20
eQTLs can be context specific, whether in terms of effect size or the presence/absence of an effect. Know that eQTLs are enriched in TF binding sites. Suggests that modifications to TF binding are a major mechanism by which genetic variation regulates gene expression #ASHG20
Read 9 tweets
30 Oct
Next is Xiaolei Zhang, discussing "Annotating high-impact 5'UTR variants with the UTRannotator"
The translation of upstream open reading frames can reduce the expression of genes considerably. Can have overlapping uORF, out of frame or in frame depending on where the stop coding of the uORF lies #ASHG20
uORF perturbing variants can be disease-causing. they are under strong negative selection and appear to cause disease through LoF of genes. #ASHG20
Read 7 tweets

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