📣 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 and low-frequency coding variants alter human adult height. (2017)

First Author: Marouli E

Attributed to: The Scottish eHealth Informatics Research Centre funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/nature21039

PubMed Identifier: 28146470

Publication URI: http://europepmc.org/abstract/MED/28146470

Type: Journal Article/Review

Volume: 542

Parent Publication: Nature

Issue: 7640

ISSN: 0028-0836