1/10 Large eQTL resources enable identification of genes for which cis-eQTL effects colocalize with GWAS hits. We are happy to announce that our MetaBrain study and eQTL resource is now out at Nature Genetics (https://t.co/HRuzPmSVu2).
New preprint led by Jamie Robinson, @tomrgaunt, @oldz84! Privileged to be on the team with my Biogen colleagues @YunFengHuang618, @denis_baird, @eatsai.
An efficient and robust tool for colocalisation: Pair-wise Conditional and Colocalisation (PWCoCo) https://t.co/PGsdqOKyiB
Genetic associations affecting gene expression are often dependent on unknown (biological) context. In our latest preprint, we introduce PICALO: a method that identifies hidden eQTL contexts that we refer to as Principal Interaction Components (PICs). https://t.co/Fm2wCuVSIl 1/8
New preprint! We studied how rare protein-coding variants impact cognitive function & linked diseases in @uk_biobank. We identified 8 large-effect cog fx genes, dosage-sensitivity for KDM5B, additivity of rare variant and polygenic risk & more (1/12) https://t.co/jfMolNuHf7
Excited to share our new preprint: the first exome study of muscle strength in the adult population. We linked rare protein-coding variant information to hand grip strength (HGS) data in @uk_biobank, identifying 6 muscle strength genes & more (1/6) https://t.co/b7KgqsZMbK
Very excited that our joint @FinnGen_FI+@uk_biobank coding variant #research is out with @SpringerNature in @Nature. Rare & common disease genetics, >650k, >700 diseases, lots of cool insights. More to follow! https://t.co/Vt3SIB3lZz
https://t.co/QUNkwUd1pv
Really great to see our GWAS in #ALS#MND now published in @NatureGenet. A huge collaboration with researchers around the World, including ~30K ALS patients. See open access publication here: https://t.co/30ETRAuaSI.
We're thrilled to release a manuscript on rare variant association testing on the exomes of 300k individuals in the UK Biobank https://t.co/Kgyc9Vk7Nq and a browser of the results: https://t.co/c8PJajiHK3
Delighted to share our latest preprint: the largest analysis assessing the contribution of rare genetic variants to the risk of depression, based on the exomes from 320,356 @uk_biobank participants https://t.co/ZV4KYE8e4r
Check out @Biogen at #ASHG19 career fair: we're building a strong team to leverage & move beyond genetics towards the treatment of devastating brain, muscle and eye diseases