OmicsPred is developed by @laurentgil33.bsky.social @yuxu.bsky.social @iamslambert.bsky.social @mikeinouye.bsky.social with support from @uniofcam.bsky.social, HDRUK, @ebi.embl.org and the Baker Institute. Many thanks also to @hakyim.bsky.social, Ruidong Xiang, many others! (8/N)

We encourage users to contribute newly developed multi-omic genetic scores, fresh evaluations of existing scores, and new association results from additional cohorts. Sharing helps the community maximize utility and accessibility of these scores! Submit your scores: forms.gle/KLZGbvurrftF... (7/N)

Currently, we've curated scores from our flagship paper (doi.org/10.1038/s415...), along with recently developed scores for ~3000 Olink proteomic traits from the UKB PPP (preprint incoming). We are collaborating with & curating cognate resources in the community for our next update. Stay tuned!(6/N)

We provide REST APIs to allow users to search and retrieve all OmicsPred metadata, offering flexibility to identify scores, associations, or other entities that meet their specific needs. (5/N)

You can also browse and search for omic trait-phenotype associations identified in the biobank association analyses using the genetically predicted multi-omic traits. (4/N)

Each score has its own page describing the omic trait a score predicts, its linked biological annotations, how the score was developed, samples used for training/testing (with ancestry information) and related performances, and a link to download the score model. (3/N)

On OmicsPred, you can browse and search for multi-omic genetic scores (www.omicspred.org/scores), related publications, omics platforms, and the biological pathways associated with these scores. (2/N)