Bipolar disorders are a complex group of severe and chronic disorders that includes bipolar
I disorder, defined by the presence of a syndromal, manic episode, and bipolar II disorder, …

Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …

Objective: To review extant literature implicating inflammation in the pathophysiology of
bipolar disorder. Furthermore, we review evidence regarding the anti-inflammatory actions of …

Coronary artery disease (CAD) is the commonest cause of death. Here, we report an
association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching …

The Canadian Network for Mood and Anxiety Treatments ( CANMAT ) previously published
treatment guidelines for bipolar disorder in 2005, along with international commentaries and …

Yatham LN, Kennedy SH, Parikh SV, Schaffer A, Beaulieu S, Alda M, O’Donovan C,
MacQueen G, McIntyre RS, Sharma V, Ravindran A, Young LT, Milev R, Bond DJ, Frey BN, …

Importance Whole-genome sequencing (WGS) is increasingly applied in clinical medicine
and is expected to uncover clinically significant findings regardless of sequencing indication. …

In the 2011 “Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk
Reduction in Children and Adolescents,” several medical conditions among youth were identified …

Risk prediction plays an important role in clinical cardiology research. Traditionally, most risk
models have been based on regression models. While useful and robust, these statistical …

Adverse experiences in childhood and adolescence, defined as subjectively perceived
threats to the safety or security of the child’s bodily integrity, family, or social structures, are …