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1. Biology‐Driven Gene‐Gene Interaction Analysis of Age‐Related Cataract in the eMERGE Network. Issue 5 (17th May 2015)

2. Clinical Pertinence Metric Enables Hypothesis-Independent Genome-Phenome Analysis for Neurologic Diagnosis. (June 2015)

3. Desiderata for computable representations of electronic health records-driven phenotype algorithms. (5th September 2015)

6. Distinct serum biosignatures are associated with different tuberculosis treatment outcomes. (September 2019)

7. EMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. Issue 1 (August 2016)

8. EMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. Issue 1 (August 2016)

9. Genetic risk models: Influence of model size on risk estimates and precision. Issue 4 (15th February 2017)

10. Host blood RNA signatures predict the outcome of tuberculosis treatment. (December 2017)