📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data. (2023)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2023.12.20.23300294

PubMed Identifier: 38196618

Publication URI: http://europepmc.org/abstract/MED/38196618

Type: Journal Article/Review

Parent Publication: medRxiv : the preprint server for health sciences