#ASHG21 first up in the late breaking plenary session is Wenhan Lu looking at pleiotropy in the UKB exomes available at genebass.org
#ASHG21 Lu: observe large-scale pleiotropy across individual variants and genes.
24 genes have >10 independent phenotypic associations
#ASHG21 Lu: Group 491 ICD diseases into 41 domains.
Example: LDLR and ADH1B each have multiple gene associations across different domains
#ASHG21 Lu: 35 genes show an allelic series. allelic series of pLoF variants in ATM are associated with cancer diagnosis.
#ASHG21 Lu: many associations are found across phenotypes, but due to r2<0.5, there will still be residual correlation.
Developed a test for allelic heterogeneity, make the assumption that all variants are independent (no LD; MAF<1% [probably a lower MAF is required here])
#ASHG21 Lu: test only works for QTs. find more significant associations with missense variants than pLoFs.
Example: ALB associated with both albumin and calcium. Find an allelic series of missense variants are associated with calcium and albumin, but no allelic series with LoF
#ASHG21 Lu: great use of synonymous variants as a negative control for assessing their novel statistical tests. It's remarkable how well synonymous variants have worked (and continue to do so) as a really good negative control
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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 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.
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.