Using genetics to prioritize diagnoses for rheumatology outpatients with inflammatory arthritis

Author:

Knevel Rachel123ORCID,le Cessie Saskia4ORCID,Terao Chikashi C.567ORCID,Slowikowski Kamil38910ORCID,Cui Jing1,Huizinga Tom W. J.2ORCID,Costenbader Karen H.1,Liao Katherine P.111ORCID,Karlson Elizabeth W.1,Raychaudhuri Soumya138910ORCID

Affiliation:

1. Division of Rheumatology, Immunology, and Allergy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA.

2. Department of Rheumatology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.

3. Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.

4. Department of Clinical Epidemiology and Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.

5. Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.

6. Clinical Research Center, Shizuoka General Hospital, Shizuoka 230-0045, Japan.

7. Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 420-8527, Japan.

8. Center for Data Sciences, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA.

9. Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA.

10. Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.

11. Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA.

Abstract

A genetic risk tool could be used at the first clinical visit of patients with inflammatory arthritis to increase diagnostic efficacy.

Funder

National Human Genome Research Institute

NIH Office of the Director

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Reumafonds

Niels Stensen Foundation

Harold and DuVal Bowen Fund

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference62 articles.

1. Finding the Rare Pathogenic Variants in a Human Genome

2. 23andME www.23andme.com/.

3. Ancestry www.ancestry.com.

4. Clinical implications of a molecular genetic classification of monogenic β-cell diabetes

5. High genetic risk score is associated with increased organ damage in SLE;Reid S.;Arthritis Rheumatol.,2017

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