#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.
#ASHG21 MO: enhanced GTEx project eGTEx added additional studies. telomere length, ATAC, ChIP, methylation, RNA methylation, etc.
#ASHG21 MO: Look for mQTLs and how it contributes to eQTLs.
Preprint - researchsquare.com/article/rs-492…
#ASHG21 MO: Looked for cis mQTLs in a 500kb window to alleles. 100k-200k mQTL CpG sites per tissue.
#ASHG21 MO: mQTLs tended to dichotomize. Either very tissue specific, or highly shared across different tissues.
#ASHG21 MO: Used pair-wise colocalization to see what the overlap was between mQTL and eQTL. 21% of mQTLs are colocalized to an eQTL., i.e. most eQTLs are not explained by a cis-colocalized mQTL.
#ASHG21 MO: Look at mQTL mechanisms to eQTLs. eQTLs are enriched in gene body and proximal regulatory elements. mQTLs are enriched in non-genic, distal regulatory regions.
#ASHG21 MO: mQTLs are linked to transcription factors involved in chromatin spatial conformation and long-range interaction. eQTLs linked to TFs involved in basal transcription.
#ASHG21 MO: GWAS for 87 traits for 8.6M variants. Looked at colocalization. 12,922 QTL-GWAS colocalizations. 81% of the GWAS study had at least one. 41% of GWAS hits overall had colocalization. 3,381 mQTLs.
#ASHG21 MO: mQTL specific cases are traits colocalized with only an mQTL, but not to an eQTL. How does that work if the expression isn't changed?
#ASHG21 MO: eQTL and mQTL colocalizations can help with fine mapping GWAS signals. May also help with identifying independent SNP effects in the same locus.
#ASHG21 MO: at TERT, mQTL in ovary colocalizes with breast cancer GWAS signal. TERT expression is undetectable in normal ovary. Expressed in stem and stem-like cells.

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More from @thatdnaguy

20 Oct
#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.
Read 15 tweets
20 Oct
#ASHG21 EDF: Elisa De Franco.
loss of the primate specific gene ZNF808 causes pancreatic disease.
#ASHG21 EDF: studying human development to better understand common and rare diseases. specifically interested in diabetes.
#ASHG21 EDF: Mice can offer important insights, but there are fundamental differences between humans and mice.
Read 14 tweets
20 Oct
#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.
Read 11 tweets
20 Oct
#ASHG21 WL: Wenhan Lu.
quantifying the extent of pleiotropy using rare variant association data in 281k human exomes
#ASHG21 WL: have large scale rare variant association in UKBB exomes.
Preprint - medrxiv.org/content/10.110…
Explorer at - genebass.org
#ASHG21 WL: Interested in pleiotropy. Look at variant-level pleiotropy. 349k vars. 5.4k with > 1 phenotype. 152 associated with > 20 phenotypes.
Read 12 tweets
20 Oct
#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.
Read 7 tweets
20 Oct
#ASHG21 NC: Nicholas Cheng.
Early detection of cancers using plasma cell-free DNA methylomes up to 7 years prior to clinical diagnosis.
#ASHG21 NC: cancer development is a mostly evolutionary process involving sequenctial somatic mutation and methylation / accessibility changes.
#ASHG21 NC: When can you detect changes? The pathogenic transitions can occur earlier than the onset of disease.
Read 18 tweets

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