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Poor prepregnancy and antepartum mental health predicts postpartum mental health problems among US women: a nationally representative population-based study.

Witt, Whitney, Lauren Wisk, Erika Cheng, John Hampton, Paul Creswell, Erika Hagen, Hilary Spear, Torsheika Maddox, and Thomas DeLeire. 2011. “Poor Prepregnancy and Antepartum Mental Health Predicts Postpartum Mental Health Problems Among US Women: A Nationally Representative Population-Based Study.”. Womens Health Issues 21 (4): 304-13.

Quantitative Diffusion-Weighted MR Imaging of Crohn's Disease using a Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM)

Kurugol, Sila, Moti Freiman, Liran Domachevsky, Onur Afacan, and Simon Warfield. 2015. “Quantitative Diffusion-Weighted MR Imaging of Crohn’s Disease Using a Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM)”. ISMRM Diffusion Weighted Imaging Outside Brain Workshop, Boston, MA. April 2015.

An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.

Brownstein, Catherine, Alan Beggs, Nils Homer, Barry Merriman, Timothy Yu, Katherine Flannery, Elizabeth Dechene, et al. 2014. “An International Effort towards Developing Standards for Best Practices in Analysis, Interpretation and Reporting of Clinical Genome Sequencing Results in the CLARITY Challenge.”. Genome Biol 15 (3): R53.

A genome-wide association study of autism using the Simons Simplex Collection: Does reducing phenotypic heterogeneity in autism increase genetic homogeneity?

Chaste, Pauline, Lambertus Klei, Stephan Sanders, Vanessa Hus, Michael Murtha, Jennifer Lowe, Jeremy Willsey, et al. 2015. “A Genome-Wide Association Study of Autism Using the Simons Simplex Collection: Does Reducing Phenotypic Heterogeneity in Autism Increase Genetic Homogeneity?”. Biol Psychiatry 77 (9): 775-84.

Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.

Maier, Robert, Gerhard Moser, Guo-Bo Chen, Stephan Ripke, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, William Coryell, James Potash, et al. 2015. “Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder.”. Am J Hum Genet 96 (2): 283-94.