Skip to Main Content

Paper Details

Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.
Am J Hum Genet
20
2020
HNF1A, HNF1A missense variants, HNF1A variants, MODY, Missense Variants, diabetes, exomes, maturity-onset diabetes, type 2 diabetes
Author NameAffiliation
Laeya A NajmiCenter for Diabetes Research, University of Bergen, Haukeland University Hospital, Stanford University School of Medicine
Amanda J BennettUniversity of Oxford
Ingvild AukrustCenter for Diabetes Research, University of Bergen, Haukeland University Hospital
Jana K RundleUniversity of Oxford
Janne MolnesCenter for Diabetes Research, University of Bergen, Haukeland University Hospital
Neelam HassanaliUniversity of Oxford
Anubha MahajanUniversity of Oxford
Anders MolvenCenter for Diabetes Research, University of Bergen, Haukeland University Hospital
Sian EllardInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Royal Devon and Exeter NHS Foundation Trust
Mark I McCarthyUniversity of Oxford, UK Oxford NIHR Biomedical Research Centre, Churchill Hospital
Lise BjørkhaugWestern Norway University of Applied Sciences
Pål R NjølstadCenter for Diabetes Research, University of Bergen, Haukeland University Hospital
Anna L GloynUniversity of Oxford, UK Oxford NIHR Biomedical Research Centre, Churchill Hospital, Stanford School of Medicine, Stanford University
  • 1 - 13

Datasets