So I got a new paper published! “Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits”. #genomics #paper #eQTLs #pQTLs #metabolites #GWAS #disease

https://www.nature.com/articles/s41467-023-40569-3

I wrote a thread on our findings on the other place for those inclined to the more academic language (https://twitter.com/anavinuela/status/1693602067741397190). Lot of scientists are still there. But I thought here I would try something a little bit different to avoid the jargon:

"DecodeME STUDY - Between You and ME"

Blog about donating DNA to the DecodeME study, the largest study of ME patients that has ever done.

https://lizakarlewriter.wpcomstaging.com/2023/08/04/decodeme-study/

#MEcfs #LongCovid #Research #Gene #GWAS #DecodeME

RT @: Visit the table of all #GWAS with #Proteomics to read the most recent papers on pQTLs, updated 25 July 2023

“Oppenheimer? Who? No, I worked on the Manhattan PLOT project” — Early bioinformatician #genetics #GWAS #oppenheimer #bioinformatics

New paper on selection bias in large cohorts like UK Biobank. Previous work in this area had corrected for bias by reweighting samples using population reference data or used data only from within the cohort to detect sex-specific participation bias.

This new method by Benonsidottir and Kong look at haplotype sharing between close relatives to find genetic loci that drive participation bias. #GWAS

https://www.nature.com/articles/s41588-023-01439-2

As GWAS meta-analysis sample sizes have grown larger, SNP heritability has shrunk.

The mystery has a solution: Including more studies increases between-study heterogeneity. When the genetic correlation among the studies being included is less than 1, the heritability of the meta-GWAS gets smaller. #GWAS

https://www.sciencedirect.com/science/article/pii/S0002929723002070?dgcid=coauthor

Our #GWAS23 squad😍
Massive thanks to our instructors (Filippo, Christian and @OscarGenomics ) participants for transforming this course into an epic learning journey! #GWAS #Bioinformatics #Genomics #Rstats

Our #GWAS23 squad😍
Massive thanks to our instructors (Filippo, Christian and @OscarGenomics ) participants for transforming this course into an epic learning journey! #GWAS #Bioinformatics #Genomics #Rstats

👀

#microbiome #gwas

The what? 😳

#microbiome #gwas

This week we are also running our GWAS course with @OscarGenomics Filippo Biscarini and Christian Werner.
🧬✨ Let's decode the genomic secrets and unlock new frontiers of knowledge! 🚀

#GWAS #Rstats #Bioinformatics #Genomics

This week we are also running our GWAS course with @OscarGenomics Filippo Biscarini and Christian Werner.
🧬✨ Let's decode the genomic secrets and unlock new frontiers of knowledge! 🚀

#GWAS #Rstats #Bioinformatics #Genomics

🎓 #biocsmorgasbord on this week! New workshop added ✨ Learn "MungeSumstats: Standardise the format of GWAS summary statistics " with Alan Murphy @Al_Murphy_ 🧬💻

📅 May 22-26
➡️ https://gallantries.github.io/video-library/modules/bioconductor
#Bioinformatics #RStats #GWAS

The latest "Be Part of Research" email (see https://bepartofresearch.nihr.ac.uk/) talks about the DecodeME research study:

"Join the world’s largest myalgic encephalomyelitis (ME) / chronic fatigue syndrome (CFS) study

DecodeME is the largest ever ME/CFS study. It aims to see whether the disease is partly genetic and, if so, help pinpoint what causes it."

DecodeME website: https://www.decodeme.org.uk/

#MEcfs #MyalgicE #CFS #LongCovid #DecodeME #Research #GWAS

#GWAS people: pay attention to the difference between p-value and effect size.

(Please also pay attention if you're not doing GWAS.)

Great thread ⬇️ by @ct_bergstrom on recent work by @sz, @dggoldst et al.

https://fediscience.org/@ct_bergstrom/110267907188002904

#GWAS people: pay attention to the difference between p-value and effect size.

Great thread ⬇️ by @ct_bergstrom on recent work by @sz, @dggoldst et al.

https://fediscience.org/@ct_bergstrom/110267907188002904

#GWAS people: pay attention to the difference between p-value and effect size.

Great thread ⬇️ by @ct_bergstrom on recent work by @sz and @dggoldst

https://fediscience.org/@ct_bergstrom/110267907188002904

Posted @withregram • @decodemestudy Today is #NationalDNADay Genetic studies have transformed our understanding of many diseases. By studying your DNA, we aim to identify the genetic differences in those with #MECFS. Join #DecodeME today https://shorturl.at/kmnK7
#PwME #DNA #GWAS #Genetics

@mecfs @cfs #MyalgicEncephalomyelitis #ChronicFatigueSyndrome #mecfs #cfs #pwme #cfsme

(Preprint) "Typing myalgic encephalomyelitis by infection at onset: A DecodeME study 2023 Bretherick et al"

https://openresearch.nihr.ac.uk/articles/3-20/v1

#MEcfs #LongCovid #PostViral #Research #GWAS #PEM #DecodeME

Want to master #GWAS?
Learn the step-by-step process and gain hands-on experience with the latest techniques. Join us now: https://physalia-courses.org/courses-workshops/course49/
#GWAS #Genomics #Bioinformatics #Rstats @OscarGenomics