Interested in statistical methods for integrative multi-omics analysis with new and exciting GWAS data?
I have a postdoc position available to work on statistical genetics/genomics methods in cancer.
Please #RT
https://t.co/TccroB2yW4
Happy to see this out. A super interesting finding - a variant found almost exclusively in Africans is associated with Burkitt Lymphoma. An enriching collaboration with @SMbulaiteye@BRGorman the EMBLEM team and folks at DCEG
Super excited to share our paper “A genome-wide association study identifies an African-specific locus on chromosome 21q22.12 associated with Burkitt lymphoma risk and survival”. This work should encourage more studies to understand the genetic basis of BL https://t.co/3Srv13GMg9
The Membership Engagement Committee of the @AmstatNews@ASA_SSGG proudly presents a panel discussion on "The Value of Postdoctoral Training in Statistical Genomics and Genetics." The 1hr session will be virtual on Mon January 27, 3-4:00 PM EST.
New preprint !! sparse canonical correlation is incredibly useful to identify groups of closely correlated omics modalities.
Here we test which individual variables contribute to this "correlated" cluster using de-biased SCCA that enables asymptotic testing.
Application in METABRIC data identifies 250+ genes trans-regulated by estrogen receptor related CNAs, including 5 which were not identified by standard linear regression. Better yet, with debiased SCCA we know which genes are actually associated to the CNAs and which are there just for correlation
Great to see this out. A comprehensive pleiotropic analysis showing widespread pleiotropy among GWAS significant variants.
But we also detect several SNPs that are highly trait/outcome specific !! Fantastic work led by @guanghao_qi with @nilanjan10c@alexisjbattle@DrDebashreeRay and co
Our followup study of the #renal cell carcinoma GWAS identified several genes in #kidney#transcriptome beyond those from GWAS. Additional analysis in other tissues and plasma #proteome. Now published in @AJHGNews#NCI_ITEB
Our TWAS analyses in four normal and tumor #kidney transcriptomes and 48 GTEx tissues identified several important genes with relevance to #renal cell carcinoma overall and its subtypes.
https://t.co/BxaUvYEwkS
@Diptavo @NCIChanock
Immersive presentations and words of wisdom by @mitchiela@MengjieChen6 and others on the importance of interdisciplinary collaborations in genomics today. webinar hosted by @ASA_SSGG
Grateful to @HGGAdvances for providing a platform for early career researchers in human genetics, to showcase their research.
Try out our method: https://t.co/47vkVCrY9b
Paper: https://t.co/FvlmlKI2UK
@BrianXinyu@nilanjan10c @NCIEpiTraining #NCI_ITEB
.@HGGAdvances sat with @Diptavo, PhD in the latest Inside HGGA to discuss his recently published paper, “Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability.” ➡️https://t.co/bnMt0G4xUG #ASHG#GeneticsDiscoveries
Glad to be a part of this fantastic effort and collaboration. Expanding our understanding of renal cell carcinoma genetics hugely. Stay tuned for several follow up analyses delving deeper into the translational impact of the results. @NCIEpiTraining #NCI_ITEB
Online today in @NatureGenet is a multi-ancestry #GWAS of renal cell carcinoma #RCC that identifies 50 novel loci, subtype specific loci for clear cell and papillary subtypes, and an African ancestry-specific association at VHL.
https://t.co/eDb4VA3BOu
@NCIEpiTraining #NCI_ITEB
Glad to see this in print now. New method to perform cross tissue TWAS. Spearheaded by the brilliant @BrianXinyu. Check out the method: https://t.co/47vkVCrY9b
@nilanjan10c @NCIEpiTraining
📢New from @Diptavo & colleagues
📰 Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability
👉https://t.co/TdtVPTK2d8
Final days to apply!! Fantastic opportunity for aspiring trainees.
I will be looking for a postdoc with interest in statistical methods in genetics and genomics. @NCIEpiTraining