Chesi #ASHG18SMAD3 closest gene to rs1545161 the 'sentinel' SNP. Open, interacting with SMAD3, 2 add'l in LD intera… https://t.co/EluGSYqYZz
3:06pm October 20th 2018 via Hootsuite Inc.
Chesi #ASHG18 ATAC-seq used to implicate causal vars. Integrated two datasets - informative proxy SNPs for 88/110 i… https://t.co/7SWuak6RWv
3:05pm October 20th 2018 via Hootsuite Inc.
Chesi #ASHG18 DpnII RE's w/custom SureSelect library, 36.6K baited tarets, NovaSeq. Targeted promoters, non-coding,… https://t.co/hkzV7uCkMP
3:02pm October 20th 2018 via Hootsuite Inc.
Chesi #ASHG18 Call method SPATial-Seq - genome-Scal, Promoter-focused Analysis of chromaTin Looping. Applied to MSC (mesochymal stem cells)
3:01pm October 20th 2018 via Hootsuite Inc.
Chesi #ASHG18 Major Q's remain - what does the variant regulate? Local? Distal genes? Physical gene mapping: lack o… https://t.co/P7LsF96J5v
3:00pm October 20th 2018 via Hootsuite Inc.
Chesi #ASHG18 Many BMD (bone mineral density) WGAS loci reported. '12 ref https://t.co/HStVI3RJzu '15 https://t.co/HKYBlOt1zC
2:59pm October 20th 2018 via Hootsuite Inc.
Alessandra Chesi (CHOP PA) #ASHG18 Genome-scale capture C promoter interaction analysis implicates novel effector e… https://t.co/MYdUaAlSr2
2:57pm October 20th 2018 via Hootsuite Inc.
Li #ASHG18 Their TRNNet model recapitulates new ASK risk gene candidates ID'd; implicates new ASK risk genes https://t.co/f82DYtAA6W
2:17pm October 20th 2018 via Hootsuite Inc.
Li #ASHG18 Thalamic Reticular Nucleus - shows their 500-cell scRNAseq dataset and model outperformed a similar mode… https://t.co/zEXwRJwAjY
2:15pm October 20th 2018 via Hootsuite Inc.
@michaelhoffman @singlerainc Great to have met you in person Michael! All the best! Dale
2:13pm October 20th 2018 via Hootsuite Inc. in reply to michaelhoffman
Li #ASHG18 Shows different cell types across N=306 neural pathways. Excitatory, inhibitory, and non-neuronal celltypes.
2:13pm October 20th 2018 via Hootsuite Inc.
Li #ASHG18 Nodes can be analysed, stacked, classified via random forest, and discover new topological features. App… https://t.co/epr1MrVONy
2:12pm October 20th 2018 via Hootsuite Inc.
Li #ASHG18 '18 Nature Meth ref https://t.co/cXanmg5t8y on GeNets. Quack alg ID's pathway. Shows ex of AKT - many to… https://t.co/WvyVAuz3JA
2:08pm October 20th 2018 via Hootsuite Inc.
Li #ASHG18 Shows fig from '01 Nature https://t.co/WjGn5riu4g protein network analyses. GeNets… https://t.co/L6CG1DauBt
2:06pm October 20th 2018 via Hootsuite Inc.
Taibo Li (Johns Hopkins) #ASHG18 Single-cell co-exp network demonstrated superior biol. signal in tissue-spec network analyses
2:04pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Summarizing: decidua 'displays an unusual composition of maternal immune cells, dominated by NK c… https://t.co/F0Le8hJuMd
2:01pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Formed a model for NK-trophoblast interactoin in fetal-maternal interface.
1:59pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Shows KIR genes diff exp in 3 NK populations, validated w/mass cytometry. 4-fold higher w/customi… https://t.co/4HNYn339io
1:58pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Made KIR quant algorithm avail on GitHub https://t.co/HEsZWvcfLm
1:57pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 120 cells, 500K reads/cell, KIR gene content w/scRNA-seq found 92% sens 91% spec using different… https://t.co/7MJql6tSEN
1:56pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Shows data from Preprint https://t.co/rI01U4484U KIR locus highly var; 12 to 14 genes, shows many… https://t.co/AvdSGtivpB
1:54pm October 20th 2018 via Hootsuite Inc.
Goncalves #ASHG18 Looking at pre-eclampsia, assoc with NK cells and KIR. 45K cells at the maternal-fetal interface.
1:51pm October 20th 2018 via Hootsuite Inc.
Angela Goncalves #ASHG18 Determining KIR repertoires using single cell transcriptomics
1:50pm October 20th 2018 via Hootsuite Inc.
Simon #ASHG18 ID of putative disease subtypes based on cell-type spec exp profiles. Det 4 clusters.
1:44pm October 20th 2018 via Hootsuite Inc.
Simon #ASHG18 Validated via imaging; developmental trajectory, able to trace lineage. What cell-types drive disease… https://t.co/iljOtNrQa5
1:43pm October 20th 2018 via Hootsuite Inc.
Simon #ASHG18 Sub-cluster analysis - ID closely related cell types, cell states. Focus on layer-1 cells.
1:41pm October 20th 2018 via Hootsuite Inc.
Simon #ASHG18 Shows interesting dev biology of neural development '12 ref https://t.co/qYz5SvRxoL and where disreg… https://t.co/KOD41kyeQj
1:38pm October 20th 2018 via Hootsuite Inc.
Simon #ASHG18 150 high-confidence genes assoc'd with ASD; each <1% prevalence. Some shared phenotypes via gene exp.… https://t.co/C91elTo
1:35pm October 20th 2018 via Hootsuite Inc.
Jeremy Simon (UNC) Single-cell transcriptomic catalog of mouse cortical development
1:34pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 Shows their results in predictive model (called Deep Structured Phenotype Network or DSPN) improvement… https://t.co/oK0jeCDxAK
1:33pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 Overlap with Hi-C enhancer activity. Busy slide with gene regulatory network inference. Hi-C, TF to TG… https://t.co/uicFYPVVta
1:28pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 As they are doing sc analysis, come up with model for a subneuronal fraction assoc w/ASD
1:25pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 Shows interesting PCA data; shows method of unsupervised learning, 14K cell data '16 Science https://t.co/BvwwQ2nC0A
1:24pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 Looking at transcriptome, epigenome and QTL with sc deconvolution, looking for gene regulatory network… https://t.co/5ZjH8YkrtM
1:20pm October 20th 2018 via Hootsuite Inc.
Wang #ASHG18 Genotype and phenotype connection to schizophrenia, bipolar, 81% 70% ref https://t.co/UoAs8GVLUG Now u… https://t.co/i0r3QM7tC9
1:19pm October 20th 2018 via Hootsuite Inc.
D. Wang #ASHG18 Comprehensive functional genomic resource and integrative model for the adult brain
1:18pm October 20th 2018 via Hootsuite Inc.
Claringbould #ASHG18 Announces availability of data on https://t.co/Fk48dewQOb and biorxiv preprint here https://t.co/6JFRVW2NOY
1:12pm October 20th 2018 via Hootsuite Inc.
Claringbould #ASHG18 Immune disease from scRNA-seq '18 ref https://t.co/VX4mHnyCGl Onto neuronal genes '18 ref https://t.co/hBNj1TRo0Y
1:10pm October 20th 2018 via Hootsuite Inc.
Claringbould #ASHG18 Combining cis- and trans-eQTL with polygenic score, come up with sQTL. '18 ref https://t.co/qz10oa3LVn
1:08pm October 20th 2018 via Hootsuite Inc.
Claringbould #ASHG18 Integrate RNAseq and microarray. eQTS effects on 2,568 genes. '16 ref https://t.co/abTu29rkPE
1:05pm October 20th 2018 via Hootsuite Inc.
Claringbould #ASHG18 After all GWAS, connecting to traits at the eQTL level. Trans-eQTL effects are small; setup co… https://t.co/vO7bI1rBJM
1:03pm October 20th 2018 via Hootsuite Inc.
Annique Claringbould (Univ Groningen) #ASHG18 Leveraging gene exp to understand consequences of polygenic risk scor… https://t.co/Q0eBztDtcY
1:02pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Preprint of main and companion papers expected later this winter. Shows Huge GTEx slide of all… https://t.co/ftziZqax2v
12:57pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Cell types contribute to allelic heterogeneity of GWAS-eQTLs. Example: platelet count data.
Lappalainen #ASHG18 Enriched for promoter flanking, enh regions; tissue-spec eQTLs. Improving GWAS interpretation:… https://t.co/xgU2kVW7Xw
12:55pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 1280 Neutrophil-interacting eQTLs in blood, and 367 neron-interactig eQTLs in brain: violin plots shown by tissue.
12:54pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Now looking at cell-type composition across 64 celltypes; key importance for interpreting varia… https://t.co/yTh8jDd8of
12:53pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Tissue sharing of reg variation data shown; also mechanisms of tissue-specificity. Post-xcr pro… https://t.co/MnzAT8Ozud
12:52pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Found 178 genes with trans-eQTLs. 25K eQTLs have highly likely consensus causal reg variants
12:50pm October 20th 2018 via Hootsuite Inc.
Lappalainen #ASHG18 Harmonized GWAS data with 114 traits too. Expression and splicing of QTLs in cis and trans: 95%… https://t.co/SJioaVPfR5
12:49pm October 20th 2018 via Hootsuite Inc.
