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4. Family functioning in bipolar disorder: Characteristics, congruity between patients and relatives, and clinical correlates. (30th November 2016)

5. Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach. (April 2022)

6. Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach – CORRIGENDUM. (August 2022)

7. Cognitive variability in bipolar II disorder: who is cognitively impaired and who is preserved. (26th April 2016)

10. Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. Issue 10023 (12th March 2016)