Shaunna L. Clark, Ph.D.
Affiliations: | 2010 | University of California, Los Angeles, Los Angeles, CA |
Area:
Educational Psychology Education, Psychometrics Psychology, Statistics, Behavioral PsychologyGoogle:
"Shaunna Clark"Parents
Sign in to add mentor| Bengt Muthen | grad student | 2010 | UCLA | |
| (Mixture modeling with behavioral data.) | ||||
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Publications
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| Clark SL, Hattab MW, Chan RF, et al. (2019) A methylation study of long-term depression risk. Molecular Psychiatry |
| Aberg K, Dean B, Shabalin A, et al. (2019) METHYLOME-WIDE ASSOCIATION STUDIES FOR MAJOR DEPRESSIVE DISORDER IN BLOOD OVERLAP WITH METHYLATION RESULTS FROM BRAIN AND LARGE-SCALE GWAS European Neuropsychopharmacology. 29: S807-S808 |
| Clark S, Hattab M, Shabalin A, et al. (2019) PREDICTING THE FUTURE DISEASE STATUS OF DEPRESSED PATIENTS FROM DNA METHYLATION PATTERNS IN BLOOD European Neuropsychopharmacology. 29: S793-S794 |
| Clark SL, Costin BN, Chan RF, et al. (2018) A whole methylome study of ethanol exposure in brain and blood: an exploration of the utility of peripheral blood as proxy tissue for brain in alcohol methylation studies. Alcoholism, Clinical and Experimental Research |
| Aberg KA, Dean B, Shabalin AA, et al. (2018) Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples. Molecular Psychiatry |
| Aberg KA, Shabalin AA, Chan RF, et al. (2018) Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder. Translational Psychiatry. 8: 162 |
| Han LKM, Aghajani M, Clark SL, et al. (2018) Epigenetic Aging in Major Depressive Disorder. The American Journal of Psychiatry. appiajp201817060595 |
| Shabalin AA, Hattab MW, Clark SL, et al. (2018) RaMWAS: Fast Methylome-Wide Association Study Pipeline for Enrichment Platforms. Bioinformatics (Oxford, England) |
| Han L, Aghajani M, Clark S, et al. (2018) Accelerated biological aging in major depressive disorder: capturing aging patterns in DNA methylation with machine learning methods European Neuropsychopharmacology. 28 |
| Cho SB, Aliev F, Clark SL, et al. (2017) Using Patterns of Genetic Association to Elucidate Shared Genetic Etiologies Across Psychiatric Disorders. Behavior Genetics |