Assessing improved risk prediction of rheumatoid arthritis by environmental, genetic, and metabolomic factors.

ABSTRACT:

Objective

We sought to improve seropositive rheumatoid arthritis (RA) risk prediction using a novel weighted genetic risk score (wGRS) and preclinical plasma metabolites associated with RA risk. Predictive performance was compared to previously validated models including RA-associated environmental factors.

Methods

This nested case-control study matched incident seropositive RA cases (meeting ACR 1987 or EULAR/ACR 2010 criteria) in the Nurses' Health Studies (NHS) to two controls on age, blood collection features, and post-menopausal hormone use at pre-RA blood draw. Environmental variables were measured at the questionnaire cycle preceding blood draw. Four models were generated and internally validated using a bootstrapped optimism estimate: (a) base with environmental fact

SUBMITTER: Bouzit L 

PROVIDER: S-EPMC8475497 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature