Publication List

Anderson, J.S., Shade, J., DiBlasi, E., Shabalin, A.A. & Docherty, A.R. Polygenic risk scoring and prediction of mental health outcomes. Curr Opin Psychol 27, 77-81 (2019). doi:10.1016/j.copsyc.2018.09.002
Bilder, D.A. et al. Early Second Trimester Maternal Serum Steroid-Related Biomarkers Associated with Autism Spectrum Disorder. J Autism Dev Disord 49, 4572-4583 (2019). doi:10.1007/s10803-019-04162-2
Chan, R.F. et al. Independent Methylome-Wide Association Studies of Schizophrenia Detect Consistent Case-Control Differences. Schizophr Bull (2019). doi:10.1093/schbul/sbz056
Clark, S.L. et al. A methylation study of long-term depression risk. Mol Psychiatry (2019). doi:10.1038/s41380-019-0516-z
Conway, C.C. et al. A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research. Perspect Psychol Sci 14, 419-436 (2019). doi:10.1177/1745691618810696
Das, S.C. et al. DiI-mediated analysis of presynaptic and postsynaptic structures in human postmortem brain tissue. J Comp Neurol 527, 3087-3098 (2019). doi:10.1002/cne.24722
Docherty, A.R. et al. Pathway-based polygene risk for severe depression implicates drug metabolism in CONVERGE. Psychol Med, 1-6 (2019). doi:10.1017/s0033291719000618
Eyler, L.T. et al. Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. J Alzheimers Dis 70, 107-120 (2019). doi:10.3233/jad-180847
Greene, A.L. et al. Are fit indices used to test psychopathology structure biased? A simulation study. J Abnorm Psychol 128, 740-764 (2019). doi:10.1037/abn0000434
Hopwood, C.J. et al. Commentary on “The Challenge of Transforming the Diagnostic System of Personality Disorders”. J Pers Disord, 1-4 (2019). doi:10.1521/pedi_2019_33_00
Kirby, A.V. et al. A 20-year study of suicide death in a statewide autism population. Autism Res 12, 658-666 (2019). doi:10.1002/aur.2076
Lazaro-Munoz, G. et al. International Society of Psychiatric Genetics Ethics Committee: Issues facing us. Am J Med Genet B Neuropsychiatr Genet 180, 543-554 (2019). doi:10.1002/ajmg.b.32736
Li, Z. et al. Inheritance of Neural Substrates for Motivation and Pleasure. Psychol Sci 30, 1205-1217 (2019). doi:10.1177/0956797619859340
Liu, M. et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet 51, 237-244 (2019). doi:10.1038/s41588-018-0307-5
Nobre, C., Gehlenborg, N., Coon, H. & Lex, A. Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs. IEEE Trans Vis Comput Graph 25, 1543-1558 (2019). doi:10.1109/tvcg.2018.2811488
Ruggero, C.J. et al. Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice. J Consult Clin Psychol 87, 1069-1084 (2019). doi:10.1037/ccp0000452
Shade, J., Coon, H. & Docherty, A.R. Ethical implications of using biobanks and population databases for genetic suicide research. Am J Med Genet B Neuropsychiatr Genet 180, 601-608 (2019). doi:10.1002/ajmg.b.32718
Widiger, T.A. et al. Criterion A of the AMPD in HiTOP. J Pers Assess 101, 345-355 (2019). doi:10.1080/00223891.2018.1465431
Aberg, K.A., Chan, R.F., Xie, L., Shabalin, A.A. & van den Oord, E. Methyl-CpG-Binding Domain Sequencing: MBD-seq. Methods Mol Biol 1708, 171-189 (2018). doi:10.1007/978-1-4939-7481-8_10
Aberg, K.A. et al. Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples. Mol Psychiatry (2018). doi:10.1038/s41380-018-0247-6
Aberg, K.A. et al. Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder. Transl Psychiatry 8, 162 (2018). doi:10.1038/s41398-018-0205-8
An, J.Y. et al. Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder. Science 362(2018). doi:10.1126/science.aat6576
Clark, S.L. et al. 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. Alcohol Clin Exp Res 42, 2360-2368 (2018). doi:10.1111/acer.13905
Coon, H. et al. Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide. Mol Psychiatry (2018). doi:10.1038/s41380-018-0282-3
Docherty, A.R. et al. Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative. Schizophr Bull 44, S460-s467 (2018). doi:10.1093/schbul/sby059
Docherty, A.R. et al. Polygenic prediction of the phenome, across ancestry, in emerging adulthood. Psychol Med 48, 1814-1823 (2018). doi:10.1017/s0033291717003312
Farley, M. et al. Mid-life social outcomes for a population-based sample of adults with ASD. Autism Res 11, 142-152 (2018). doi:10.1002/aur.1897
Han, L.K.M. et al. Epigenetic Aging in Major Depressive Disorder. Am J Psychiatry 175, 774-782 (2018). doi:10.1176/appi.ajp.2018.17060595
Hopwood, C.J. et al. The time has come for dimensional personality disorder diagnosis. Personal Ment Health 12, 82-86 (2018). doi:10.1002/pmh.1408
Keeshin, B.R., Gray, D., Zhang, C., Presson, A.P. & Coon, H. Youth Suicide Deaths: Investigation of Clinical Predictors in a Statewide Sample. Suicide Life Threat Behav 48, 601-612 (2018). doi:10.1111/sltb.12386
Krueger, R.F. et al. Progress in achieving quantitative classification of psychopathology. World Psychiatry 17, 282-293 (2018). doi:10.1002/wps.20566
Li, G., Shabalin, A.A., Rusyn, I., Wright, F.A. & Nobel, A.B. An empirical Bayes approach for multiple tissue eQTL analysis. Biostatistics 19, 391-406 (2018). doi:10.1093/biostatistics/kxx048
Lin, C.Y. et al. Allele-specific expression in a family quartet with autism reveals mono-to-biallelic switch and novel transcriptional processes of autism susceptibility genes. Sci Rep 8, 4277 (2018). doi:10.1038/s41598-018-22753-4
Moore, A.A., Sawyers, C., Adkins, D.E. & Docherty, A.R. Opportunities for an enhanced integration of neuroscience and genomics. Brain Imaging Behav 12, 1211-1219 (2018). doi:10.1007/s11682-017-9780-1
Palowitch, J., Shabalin, A., Zhou, Y.H., Nobel, A.B. & Wright, F.A. Estimation of cis-eQTL effect sizes using a log of linear model. Biometrics 74, 616-625 (2018). doi:10.1111/biom.12810
Shabalin, A.A. et al. RaMWAS: fast methylome-wide association study pipeline for enrichment platforms. Bioinformatics 34, 2283-2285 (2018). doi:10.1093/bioinformatics/bty069
Waller, R.G. et al. Novel pedigree analysis implicates DNA repair and chromatin remodeling in multiple myeloma risk. PLoS Genet 14, e1007111 (2018). doi:10.1371/journal.pgen.1007111
Walters, R.K. et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci 21, 1656-1669 (2018). doi:10.1038/s41593-018-0275-1
Xia, H. et al. Building a schizophrenia genetic network: transcription factor 4 regulates genes involved in neuronal development and schizophrenia risk. Hum Mol Genet 27, 3246-3256 (2018). doi:10.1093/hmg/ddy222
Zhou, H.Y. et al. Suspiciousness in young minds: Convergent evidence from non-clinical, clinical and community twin samples. Schizophr Res 199, 135-141 (2018). doi:10.1016/j.schres.2018.03.027
Aberg, K.A. et al. A MBD-seq protocol for large-scale methylome-wide studies with (very) low amounts of DNA. Epigenetics 12, 743-750 (2017). doi:10.1080/15592294.2017.1335849
Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium. Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia. Mol Autism 8, 21 (2017). doi:10.1186/s13229-017-0137-9
Battle, A. et al. Genetic effects on gene expression across human tissues. Nature 550, 204-213 (2017). doi:10.1038/nature24277
Chan, R.F. et al. Enrichment methods provide a feasible approach to comprehensive and adequately powered investigations of the brain methylome. Nucleic Acids Res 45, e97 (2017). doi:10.1093/nar/gkx143
Christensen, E.D. et al. Sudden infant death “syndrome”-Insights and future directions from a Utah population database analysis. Am J Med Genet A 173, 177-182 (2017). doi:10.1002/ajmg.a.37994
Clark, S.L. et al. Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence. Alcohol Clin Exp Res 41, 711-718 (2017). doi:10.1111/acer.13352
Docherty, A.R. Leveraging psychiatric and medical genetics to understand comorbid depression and obesity. in Br J Psychiatry, Vol. 211 61-62 (2017). doi:10.1192/bjp.bp.116.194662
Docherty, A.R. et al. Age of onset and family history as indicators of polygenic risk for major depression. Depress Anxiety 34, 446-452 (2017). doi:10.1002/da.22607
Figueroa, K.P. et al. Genetic analysis of age at onset variation in spinocerebellar ataxia type 2. Neurol Genet 3, e155 (2017). doi:10.1212/nxg.0000000000000155
Hattab, M.W. et al. Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies. Genome Biol 18, 24 (2017). doi:10.1186/s13059-017-1148-8
Li, X. et al. The impact of rare variation on gene expression across tissues. Nature 550, 239-243 (2017). doi:10.1038/nature24267
Lim, E.T. et al. Rates, distribution and implications of postzygotic mosaic mutations in autism spectrum disorder. Nat Neurosci 20, 1217-1224 (2017). doi:10.1038/nn.4598
Merrill, A.M. et al. Evidence that communication impairment in schizophrenia is associated with generalized poor task performance. Psychiatry Res 249, 172-179 (2017). doi:10.1016/j.psychres.2016.12.051
Saha, A. et al. Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Res 27, 1843-1858 (2017). doi:10.1101/gr.216721.116
Tan, M.H. et al. Dynamic landscape and regulation of RNA editing in mammals. Nature 550, 249-254 (2017). doi:10.1038/nature24041
Tukiainen, T. et al. Landscape of X chromosome inactivation across human tissues. Nature 550, 244-248 (2017). doi:10.1038/nature24265
Weiner, D.J. et al. Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nat Genet 49, 978-985 (2017). doi:10.1038/ng.3863
Yang, F., Wang, J., Pierce, B.L. & Chen, L.S. Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis. Genome Res 27, 1859-1871 (2017). doi:10.1101/gr.216754.116
Docherty, A.R. Genomic Approaches to Phenotype Prediction. in JAMA Psychiatry, Vol. 73 536 (2016). doi:10.1001/jamapsychiatry.2016.0031
Docherty, A.R., Moscati, A.A. & Fanous, A.H. Cross-Disorder Psychiatric Genomics. Curr Behav Neurosci Rep 3, 256-263 (2016). doi:10.1007/s40473-016-0084-3
Docherty, A.R. et al. SNP-based heritability estimates of the personality dimensions and polygenic prediction of both neuroticism and major depression: findings from CONVERGE. Transl Psychiatry 6, e926 (2016). doi: 10.1038/tp.2016.177
Edwards, A.C. et al. Chronicity of Depression and Moleculary Markers in a Large Sample of Han Chinese Women. Depress Anxiety 33, 1048-1054 (2016). doi:10.1002/da.22517