#ASHG21 EP: Evin Padhi.
Computational and functional characterization of the hs737 enhancer in autism
#ASHG21 EP: Noncoding de novo variants are enriched in individuals with autism. How does that work? hs737 enhancer reaches significance in discovery and replication cohorts.
#ASHG21 EP: Individuals with de novo in hs737 have autism but also motor issues / hypotonia. All variants affect enhancer activity in luciferase activity in mouse neuronal cell line.
#ASHG21 EP: hs737 is enriched in CNVs in individuals with neurodevelopmental disorders (NDDs).
#ASHG21 EP: Evolutionary analysis of the element. Perfectly conserved across human / mouse. Used ACES (analysis of conservation using expanding species) shows high degree conservation. github.com/TNTurnerLab/AC…
#ASHG21 EP: Looks like hs737 is a brain-specific and also developmental-specific enhancer. Forms a loop with EBF3. EBF3 is involved in neurodevelopmental processes and diseases. Known to be involved in HADD syndrome.
#ASHG21 EP: Looked at RNA-Seq from BrainSpan. Positively correlated with genes involved with chromatin and [others I missed]
#ASHG21 EP: EBF3 de novo variants are more severe than the de novo variants in hs737. Significantly associated with intellectual disability and delay.
#ASHG21 EP: EBF3 widely expressed. But hs737 brain-specific. Think hs737 controls expression in the brain.
#ASHG21 EP:
[ so it sounds like the hypothesis is that hs737 may be causing effects through dysregulation of EBF3 in the brain during development ]
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#ASHG21 BMG: Bailey Martin-Giacalone.
Germline variants in cancer predisposition genes predict survival for children with rhabdomyosarcoma (RMS)
#ASHG21 BMG: RMS most common soft tissue cancer of childhood. Usually two subtypes. alveolar RMS (ARMS) ~80% have a PAX3/7-FOX01 fusion. Embryonal RMS (ERMS) have heterogeneous somatic mutation landscape.
#ASHG21 BMG: risk factors for survival include histology, primary site, fusion status, metastasis, age at diagnosis. tumor size. ERMS cases have better outcome. In fusion negative RMS with TP53 mutation have worse survival.
#ASHG21 JS: Jonathan Sebat.
a phenotypic spectrum of autisim attributable to... [ too fast I missed it ]
#ASHG21 JS: combined 3 cohorts. Two WGS cohorts and the SPARK study. 11k families. 37,375 individuals. Called with GATK best practices. Imputed genotypes from SPARK combined with PLINK. Calculated polygenic scores.
#ASHG21 JS: autism enriched in de novo mutations, rare inherited variants, and increased PRS scores.
#ASHG21 RB: Richard Border.
Widespread evidence of systematic bias in estimates of genetic correlation due to assortative mating.
[ I think this is the preprint. Don't hold me to it. ] biorxiv.org/content/10.110…
#ASHG21 RB: interested in characterizing what extent two traits share similarity across traits.
#ASHG21 RB: Can compute the polygenic scores for each trait and see how they compare. Or correlation of effect correlations. Many ways to look at genetic correlations.
#ASHG21 MO: Meritxell Oliva.
Genetic regulation of DNA methylation across tissues reveals thousands of molecular links to complex traits.
#ASHG21 MO: GTEx looks at gene expression, regulation, and its relationship to genetic variation. The v8 set has eQTL data. 15,201 RNA-Seq samples from 838 post-mortem donors. 49 tissues.
#ASHG21 MO: A mQTLs are variants associated with DNA methylation. GWAS-QTL colocalization can help prioritize the causal genes at a GWAS locus.