Some Lab Publications
Alkelai A et al. (2021). The benefit of diagnostic whole genome sequencing in schizophrenia and other psychotic disorders. Mol Psychiatry, 27(3), 1435-1447.
Anderson, J.S, et al. (2019). Polygenic risk scoring and prediction of mental health outcomes. Curr Opin Psychol 27, 77-81. doi:10.1016/j.copsyc.2018.09.002
Bakian AV et al. (2021). A population-wide analysis of the familial risk of suicide in Utah, USA. Psychol Med, 1-10.
Bilder, D.A. et al. (2019). Early Second Trimester Maternal Serum Steroid-Related Biomarkers Associated with Autism Spectrum Disorder. J Autism Dev Disord 49, 4572-4583 . doi:10.1007/s10803-019-04162-2
Blokland GAM et al. (2022). Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders. Biol Psychiatry, 91(1), 102-117.
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
Chang LH et al. (2019). Association between polygenic risk for tobacco or alcohol consumption and liability to licit and illicit substance use in young Australian adults. Drug Alcohol Depend, 197, 271-279.
Chatzinakos C et al. (2020). TWAS pathway method greatly enhances the number of leads for uncovering the molecular underpinnings of psychiatric disorders. Am J Med Genet B Neuropsychiatr Genet, 183(8), 454-463.
Cicero DC et al. (2015). Aberrant salience, self-concept clarity, and interview-rated psychotic-like experiences. J Pers Disord, 29(1), 79-99.
Cicero DC et al. (2022). Development of the Thought Disorder Measure for the Hierarchical Taxonomy of Psychopathology. Assessment, 29(1), 46-61.
Clark, S.L. et al. A methylation study of long-term depression risk. Mol Psychiatry (2019). doi:10.1038/s41380-019-0516-z
Cohen AS et al. (2021). High predictive accuracy of negative schizotypy with acoustic measures. Clin Psychol Sci, 10(2), 310-323.
Colbert SMC et al. (2021). Exploring the genetic overlap of suicide-related behaviors and substance use disorders. Am J Med Genet B Neuropsychiatr Genet, 186(8), 445-455.
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
Coon H et al. (2020). Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide. Mol Psychiatry, 25(11), 3077-3090.
Coon H et al. (2022). Extended familial risk of suicide death is associated with younger age at death and elevated polygenic risk of suicide. Am J Med Genet B Neuropsychiatr Genet, 189, 60-73.
Cross Disorder Working Group of the Psychiatric Genomics Consortium. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. Cell. 2019 Dec 12;179(7):1469-1482.e11. doi: 10.1016/j.cell.2019.11.020.
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
DiBlasi E et al. (2020). Genetic links between autism and suicidal behavior: A preliminary investigation. J Autism Dev Disord, 50(10), 3525-3530.
DiBlasi E et al. (2021). Genetic contributions to suicidal thoughts and behaviors. Psychol Med, 51(13), 2148-2155.
DiBlasi E et al. (2021). Rare protein-coding variants implicate genes involved in risk of suicide death. Am J Med Genet B Neuropsychiatr Genet, 186(8), 508-520.
Docherty AR et al. (2016). SNP-based heritability estimates of the personality dimensions and polygenic prediction of both neuroticism and major depression: findings from CONVERGE. Transl Psychiatry, 6(10), e926.
Docherty AR et al. (2017). Age of onset and family history as indicators of polygenic risk for major depression. Depress Anxiety, 34(5), 446-452.
Docherty AR et al. (2020). Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland.(Epub ahead of print) Schizophr Bull, 46(5), 1045-1052.
Docherty AR et al. (2021). Suicide and psychosis: Results from a population-based cohort of suicide death (N = 4380). Schizophr Bull, 48(2), 457-462.
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
Docherty AR et al. (2018). Enhancing psychosis-spectrum nosology through an international data sharing initiative. Schizophr Bull, 44(suppl_2), S460-S467.
Docherty AR et al. (2018). Polygenic prediction of the phenome, across ancestry, in emerging adulthood. Psychol Med, 48(11), 1814-1823.
Docherty A et al. (2021). Ethical concerns relating to genetic risk scores for suicide. Am J Med Genet B Neuropsychiatr Genet, 186(8), 433-444.
Docherty AR (2016). Genomic Approaches to Phenotype Prediction. JAMA Psychiatry, 73(5), 536.
Docherty AR (2017). Leveraging psychiatric and medical genetics to understand comorbid depression and obesity. Br J Psychiatry, 211(2), 61-62.
Docherty AR et al. (2011). Alogia and formal thought disorder: differential patterns of verbal fluency task performance. J Psychiatr Res, 45(10), 1352-7.
Docherty AR et al. (2012). Comparison of putative intermediate phenotypes in schizophrenia patients with and without obsessive-compulsive disorder: examining evidence for the schizo-obsessive subtype. Schizophr Res, 140(1-3), 83-6.
Docherty AR et al. (2015). Comparison of Twin and Extended Pedigree Designs for Obtaining Heritability Estimates. Behav Genet, 45(4), 461-6.
Docherty AR et al. (2015). Does degree of gyrification underlie the phenotypic and genetic associations between cortical surface area and cognitive ability? Neuroimage, 106, 154-60.
Docherty AR et al. (2015). Genetic network properties of the human cortex based on regional thickness and surface area measures. Front Hum Neurosci, 9, 440.
Docherty AR et al. (2015). Genome-wide gene pathway analysis of psychotic illness symptom dimensions based on a new schizophrenia-specific model of the OPCRIT. Schizophr Res, 164(1-3), 181-6.
Docherty AR et al. (2015). Self-reported affective traits and current affective experiences of biological relatives of people with schizophrenia. Schizophr Res, 161(2-3), 340-4.
Docherty AR et al. (2016). Cross-disorder psychiatric genomics. Curr Behav Neurosci Rep, 3(3), 256-263.
Edwards AC et al. (2016). Chronicity of depression and molecular markers in a large sample of Han Chinese women. Depress Anxiety, 33(11), 1048-1054.
Edwards AC et al. (2016). Meta-analysis of Positive and Negative Symptoms Reveals Schizophrenia Modifier Genes. Schizophr Bull, 42(2), 279-87.
Edwards AC et al. (2018). Polygenic risk for severe psychopathology among Europeans is associated with major depressive disorder in Han Chinese women. Psychol Med, 48(5), 777-789.
Eyler LT et al. (2019). Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. J Alzheimers Dis, 70(1), 107-120.
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. 2019 Oct;128(7):740-764. doi:10.1037/abn0000434
Hopwood CJ et al. (2018). The time has come for dimensional personality disorder diagnosis. Personal Ment Health, 12(1), 82-86.
Hopwood CJ et al. (2019). Integrating psychotherapy with the hierarchical taxonomy of psychopathology (HiTOP). J Psychother Integr.
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
Johnson E et al. (2021). Associations between suicidal thoughts and behaviors and genetic liability for cognitive performance, depression, and risk-taking in a high-risk sample. Complex Psychiatry, 7(1-2), 34-44.
Johnson EC et al. (2020). Genome-wide association analysis of suicide death and polygenic prediction of clinical antecedents. Am J Psychiatry, 177(10), 917-927.
Kim H et al. (2021). Internalizing psychopathology and all-cause mortality: a comparison of transdiagnostic vs. diagnosis-based risk prediction. World Psychiatry, 20(2), 276-282.
Kimbrel NA et al. (2022). A genome-wide association study of suicide attempts in the million veterans program identifies evidence of pan-ancestry and ancestry-specific risk loci. Mol Psychiatry, 27, 2264-2272.
Kious BM et al. (2021). Correction: Ethical and public health implications of genetic testing for suicide risk: family and survivor perspectives. Genet Med, 23(2), 425.
Kious BM et al. (2021). Ethical and public health implications of genetic testing for suicide risk: family and survivor perspectives. Genet Med, 23(2), 289-297.
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
Kotov R et al. (2020). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry, 19(2), 151-172.
Kotov R et al. (2022). Reconceptualizing schizophrenia in the Hierarchical Taxonomy Of Psychopathology (HiTOP). Schizophr Res, 242, 73-77.
Krueger RF et al. (2018). Progress in achieving quantitative classification of psychopathology. World Psychiatry, 17(3), 282-293.
Krueger RF et al. (2021). Les progrès dans la réalisation de la classification quantitative de la psychopathologie. Ann Med Psychol (Paris), 179(1), 95-106.
Lazaro-Munoz, G. et al. International Society of Psychiatric Genetics Ethics Committee: Issues facing us. Am J Med Genet B Neuropsychiatr Genet. 2019 Dec;180(8):543-554. doi:10.1002/ajmg.b.32736
Lee P et al. (2019). Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell, 179(7), 1469-1482.
Lencz T et al. (2022). Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits.(Epub ahead of print). Lancet Psychiatry.
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
Love T et al. (2022). Unique and joint associations of polygenic risk for major depression and opioid use disorder with endogenous opioid system function. Neuropsychopharmacology, 47(10), 1784-1790.
McGuire D et al. (2021). Model-based assessment of replicability for genome-wide association meta-analysis. Nat Commun, 12(1), 1964.
Merrill AM et al. (2017). Evidence that communication impairment in schizophrenia is associated with generalized poor task performance. Psychiatry Res, 249, 172-179.
Mirza S et al. (2022). Genetics and epigenetics of self-injurious thoughts and behaviors: Systematic review of the suicide literature and methodological considerations. Am J Med Genet B Neuropsychiatr Genet.
Monson ET et al. (2021). Assessment of suicide attempt and death in bipolar affective disorder: a combined clinical and genetic approach. Transl Psychiatry, 11(1), 379.
Moore AA et al. (2018). Opportunities for an enhanced integration of neuroscience and genomics. Brain Imaging Behav, 12(4), 1211-1219.
Mullins N et al. (2022). Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors. Biol Psychiatry, 91(3), 313-327.
Munn-Chernoff MA et al. (2021). Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies. Addict Biol, 26 (1), e12880.
Nobre, C, et al. Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs. IEEE Trans Vis Comput Graph 25, 1543-1558 (2019). doi:10.1109/tvcg.2018.2811488
Panizzon MS et al. (2015). Genetic and environmental architecture of changes in episodic memory from middle to late middle age. Psychol Aging, 30(2), 286-300.
Perkins ER et al. (2020). Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology . Dialogues Clin Neurosci, 22(1), 51-63.
Ruggero, C.J. et al. Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice. J Consult Clin Psychol. 2019 Dec; 87(12):1069-1084. doi:10.1037/ccp0000452
Shade, J, et al. 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
Soda et al. International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic). Eur Arch Psychiatry Clin Neurosci. 2020 Oct;270(7):921-932. doi: 10.1007/s00406-019-01087-w.
Soda, T et al. (2019). A global initiative to investigate the genomics of severe depression and response to electroconvulsive therapy (ECT): The Genomics of ECT international consortium (GenECT-ic). Lancet Psychiatry.
Walters RK et al. (2018). Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci, 21(12), 1656-1669.
Waszczuk MA et al. (2020). Polygenic prediction of PTSD trajectories in 9/11 responders.(Epub ahead of print) Psychol Med, 1-9.
Waszczuk MA et al. (2020). Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology. J Abnorm Psychol, 129(2), 143-161.
Waszczuk MA et al. (2021). General vs. specific vulnerabilities: Polygenic risk scores and higher-order psychopathology dimensions in the Adolescent Brain Cognitive Development (ABCD) study. Psychol Med, 1-10.
Watson D et al. (2022). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry, 21(1), 26-54.
Widiger TA et al. (2018). Criterion A of the AMPD in HiTOP. J Pers Assess, 101(4), 345-355.
Zhou HY et al. (2018). Suspiciousness in young minds: Convergent evidence from non-clinical, clinical and community twin samples. Schizophr Res, 199, 135-141.