Next up in the #ASHG21 late breaking plenary session is Elisa De Franco (@Elisa_EDF) presenting loss of primate-specific gene ZNF808.
#ASHG21@Elisa_EDF: studying mice can provide insights into human biology, but there are differences. Mice have 2 genes for insulin (Ins1, Ins2), humans have 1 (INS).
#ASHG21@Elisa_EDF: looked at 2877 neonatal diabetes patients from 111 countries and want Identify genes with pancreatic genesis.
#ASHG21@Elisa_EDF: performed exome seq on 2 consanguineous families and found homozygous LoF in ZNF808 in both probands (1 with a stop gained variant, other with a CNV deletion).
#ASHG21@Elisa_EDF: Replication in 232 neonatal diabetes probands. Found 11 probands with homozygous LoF in ZNF808, many showing loss in the last portion of ZNF808.
ZNF80 is a primate-specific KRAB-Zinc Finger transcription factor that targets transposable elements
#ASHG21@Elisa_EDF: All other known genes involved in pancreatic developmental are more conserved than ZNF808.
What does ZNF808 do in human pancreatic development?
#ASHG21@Elisa_EDF: In hESCs, loss of ZNF808 results in loss of repression of transposable elements and some are aberrantly activated.
#ASHG21@Elisa_EDF: Transcriptome analysis shows that these cells with deleted ZNF808 often fail to develop into pancreatic cells. Appears this gene is essential to regulate the fate of cells developing into either pancreatic or liver cells.
#ASHG21: A good question asked whether heterozygous pLoFs in ZNF808 was also associated with diabetes later in life. Seems like a great use of the UKB 450k or just check it out in genebass.org!
Spoiler: nothing significant going on there.
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Last in this #ASHG21 late breaking plenary session is Bailey Martin-Giacalone presenting on germline variants in cancer predisposition genes predict survival for children with rhabdomyosarcoma
#ASHG21 Martin-Giacalone: Want to look at germline (not somatic) variants associated with rhabdomyosarcoma (RMS ).
Exome-sequenced 615 RMS cases and 9963 adult controls.
#ASHG21 Martin-Giacalone: Examined 63 cancer predisposition genes. Found 7.3% RMS cases had variants (not sure what type??) compared to 1.5% of controls. TP53, NF1, HRAS had the largest excess.
Next up in the #ASHG21 plenary session is Jonathan Sebat (@sebatlab) covering WGS of #Autism combining common and rare variants.
#ASHG21@sebatlab: Found more de novo variants in cases than controls, rare inherited variants overtransmitted to cases, polygenic scores overtransmitted to cases. As such, all 3 categories are associated with #Autism risk.
#ASHG21@sebatlab: created rare variant and common variant risk scores and both were associated with #autism status.
Chen: When looking at largest constraint Z-scores (top Z-score was 4 on the figures)
- Super enhancers ~3x enriched
- ENCODE cCRE enhancers ~2.25x enriched
- FANTOM enhancers ~1.75x enriched
Next up is my @RegeneronDNA colleague, Julie Horowitz, presenting "Common and rare variant analysis of 21K psoriasis cases and 623K controls identifies novel, protective associations in several genes in the type 1 interferon #ASHG21
Horowitz: Previous GWAS of psoriasis have identified >60 loci, but no large scale sequencing of psoriasis has been performed to identify 1) very rare variants and 2) burden tests.
Horowitz: Leveraging data from >5 cohorts and 4 ancestries (EUR, AFR, SAS, AMR), they performed a trans-ancestry meta-analysis across a total of 21k cases and 623k controls.
Suyash Shringarpure (@suyashss) from @23andMeResearch presented a fantastic #raredisease study: "Novel genetic associations for rare diseases with GWAS and trans-ethnic analysis of self-reported medical data"
.@suyashss: It's well known that self-reported data works very well for common diseases, but what about rare diseases? The assumption is that it wouldn't work.
The other common assumption is that rare disease requires sequencing to find rare causal variants. #ASHG21
.@suyashss: They launched a survey to evaluate these two commonly held assumptions about genetics in #raredisease.