Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample.
Humans
Male
Female
Adult
Magnetic Resonance Imaging
Bipolar Disorder
/ genetics
Depressive Disorder, Major
/ genetics
Schizophrenia
/ genetics
Psychotic Disorders
/ genetics
Gray Matter
/ pathology
Middle Aged
Genome-Wide Association Study
Factor Analysis, Statistical
Brain
/ pathology
Psychopathology
Multifactorial Inheritance
/ genetics
Cerebral Cortex
/ pathology
Journal
Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664
Informations de publication
Date de publication:
03 Jun 2024
03 Jun 2024
Historique:
received:
11
11
2022
accepted:
16
05
2024
revised:
16
05
2024
medline:
4
6
2024
pubmed:
4
6
2024
entrez:
3
6
2024
Statut:
epublish
Résumé
There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA. The cohort was split into two samples for exploratory and confirmatory factor analyses. All patients were scanned with 3-T MRI, and data was analyzed with the CAT-12 toolbox in SPM12. Psychopathological factor scores were correlated with gray matter volume (GMV) and cortical thickness (CT). Finally, factor scores were used for exploratory genetic analyses including genome-wide association studies (GWAS) and polygenic risk score (PRS) association analyses. Three factors (paranoid-hallucinatory syndrome, PHS; mania, MA; depression, DEP) were identified and cross-validated. PHS was negatively correlated with four GMV clusters comprising parts of the hippocampus, amygdala, angular, middle occipital, and middle frontal gyri. PHS was also negatively associated with the bilateral superior temporal, left parietal operculum, and right angular gyrus CT. No significant brain correlates were observed for the two other psychopathological factors. We identified genome-wide significant associations for MA and DEP. PRS for MDD and SZ showed a positive effect on PHS, while PRS for BD showed a positive effect on all three factors. This study investigated the relationship of lifetime psychopathological factors and brain morphometric and genetic markers. Results highlight the need for dimensional approaches, overcoming the limitations of the current psychiatric nosology.
Identifiants
pubmed: 38830892
doi: 10.1038/s41398-024-02936-6
pii: 10.1038/s41398-024-02936-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
235Subventions
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : KR 3822/5-1, KR 3822/7-2
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : NE 2254/1-2
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : DA 1151/5-1, DA 1151/5-2
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : KI 588/14-1, KI 588/14-2
Informations de copyright
© 2024. The Author(s).
Références
Modinos G, Costafreda SG, van Tol M-J, McGuire PK, Aleman A, Allen P. Neuroanatomy of auditory verbal hallucinations in schizophrenia: A quantitative meta-analysis of voxel-based morphometry studies. Cortex. 2013;49:1046–55.
pubmed: 22370252
doi: 10.1016/j.cortex.2012.01.009
Wong TY, Radua J, Pomarol-Clotet E, Salvador R, Albajes-Eizagirre A, Solanes A et al. An overlapping pattern of cerebral cortical thinning is associated with both positive symptoms and aggression in schizophrenia via the ENIGMA consortium. Psychol Med. 2020;50:2034–45.
Palaniyappan L, Balain V, Radua J, Liddle PF. Structural correlates of auditory hallucinations in schizophrenia: A meta-analysis. Schizophr Res. 2012;137:169–73.
pubmed: 22341902
doi: 10.1016/j.schres.2012.01.038
Kim GW, Kim YH, Jeong GW. Whole brain volume changes and its correlation with clinical symptom severity in patients with schizophrenia: A DARTEL-based VBM study. PLoS One. 2017;12. https://doi.org/10.1371/journal.pone.0177251 .
Kircher T, Markov V, Krug A, Eggermann T, Zerres K, Nöthen MM, et al. Association of the DTNBP1 genotype with cognition and personality traits in healthy subjects. Psychol Med. 2009;39:1657–65.
pubmed: 19335929
doi: 10.1017/S0033291709005388
Nenadic I, Sauer H, Gaser C. Distinct pattern of brain structural deficits in subsyndromes of schizophrenia delineated by psychopathology. Neuroimage. 2010;49:1153–60.
pubmed: 19833216
doi: 10.1016/j.neuroimage.2009.10.014
Kircher T, Krug A, Stratmann M, Ghazi S, Schales C, Frauenheim M, et al. A rating scale for the assessment of objective and subjective formal thought and language disorder (TALD). Schizophr Res. 2014;160:216–21.
pubmed: 25458572
doi: 10.1016/j.schres.2014.10.024
Andreasen NC, Grove WM. Thought, language, and communication in schizophrenia: diagnosis and prognosis. Schizophr Bull. 1986;12:348–59.
pubmed: 3764356
doi: 10.1093/schbul/12.3.348
Stein F, Buckenmayer E, Brosch K, Meller T, Schmitt S, Ringwald KG et al. Dimensions of Formal Thought Disorder and Their Relation to Gray- and White Matter Brain Structure in Affective and Psychotic Disorders. Schizophr Bull. 2022. https://doi.org/10.1093/SCHBUL/SBAC002 .
Patel Y, Parker N, Shin J, Howard D, French L, Thomopoulos SI et al. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders. JAMA Psychiatry. 2020. https://doi.org/10.1001/jamapsychiatry.2020.2694 .
Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, et al. Identification of a Common Neurobiological Substrate for Mental Illness. JAMA Psychiatry. 2015;72:305.
pubmed: 25651064
pmcid: 4791058
doi: 10.1001/jamapsychiatry.2014.2206
Brosch K, Stein F, Schmitt S, Pfarr JK, Ringwald KG, Thomas-Odenthal F et al. Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders. Mol Psychiatry. 2022;27. https://doi.org/10.1038/S41380-022-01687-4 .
Repple J, Gruber M, Mauritz M, de Lange SC, Winter NR, Opel N et al. Shared and specific patterns of structural brain connectivity across affective and psychotic disorders. Biol Psychiatry. 2022. https://doi.org/10.1016/J.BIOPSYCH.2022.05.031 .
Lee PH, Anttila V, Won H, Feng YCA, Rosenthal J, Zhu Z, et al. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. Cell. 2019;179:1469–82.e11.
doi: 10.1016/j.cell.2019.11.020
Serretti A, Olgiati P. Dimensions of major psychoses: A confirmatory factor analysis of six competing models. Psychiatry Res. 2004;127:101–9.
pubmed: 15261709
doi: 10.1016/j.psychres.2003.07.005
Serretti A, Rietschel M, Lattuada E, Krauss H, Schulze TG, Müller DJ, et al. Major psychoses symptomatology: Factor analysis of 2241 psychotic subjects. Eur Arch Psychiatry Clin Neurosci. 2001;251:193–8.
pubmed: 11697584
doi: 10.1007/s004060170040
Reininghaus U, Böhnke JR, Hosang G, Farmer A, Burns T, McGuffin P, et al. Evaluation of the validity and utility of a transdiagnostic psychosis dimension encompassing schizophrenia and bipolar disorder. Br J Psychiatry. 2016;209:107–13.
pubmed: 26989099
doi: 10.1192/bjp.bp.115.167882
Lalousis PA, Wood SJ, Schmaal L, Chisholm K, Griffiths SL, Reniers RLEP et al. Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach. Schizophr Bull. 2021. https://doi.org/10.1093/schbul/sbaa185 .
Chang M, Womer FY, Edmiston EK, Bai C, Zhou Q, Jiang X, et al. Neurobiological Commonalities and Distinctions Among Three Major Psychiatric Diagnostic Categories: A Structural MRI Study. Schizophr Bull. 2018;44:65–74.
pubmed: 29036668
doi: 10.1093/schbul/sbx028
Koutsouleris N, Meisenzahl EM, Borgwardt S, Riecher-Rössler A, Frodl T, Kambeitz J, et al. Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers. Brain. 2015;138:2059–73.
pubmed: 25935725
pmcid: 4572486
doi: 10.1093/brain/awv111
Sullivan PF, Kendler KS, Neale MC. Schizophrenia as a Complex Trait: Evidence from a Meta-analysis of Twin Studies. Arch Gen Psychiatry. 2003;60:1187–92.
pubmed: 14662550
doi: 10.1001/archpsyc.60.12.1187
Lichtenstein P, Yip BH, Björk C, Pawitan Y. Common genetic influences for schizophrenia and bipolar disorder: A population-based study of 2 million nuclear families. Lancet; 2009;373. https://doi.org/10.1016/S0140-6736(09)60072-6 .
Bienvenu OJ, Davydow DS, Kendler KS. Psychiatric diseases versus behavioral disorders and degree of genetic influence. Psychol Med. 2011;41:33–40.
pubmed: 20459884
doi: 10.1017/S003329171000084X
Sullivan PF, Neale MC, Kendler KS. Genetic epidemiology of major depression: Review and meta-analysis. Am J Psychiatry. 2000;157:1552–62.
pubmed: 11007705
doi: 10.1176/appi.ajp.157.10.1552
Stahl EA, Breen G, Forstner AJ, McQuillin A, Ripke S, Trubetskoy V, et al. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat Genet. 2019;51:793–803.
pubmed: 31043756
pmcid: 6956732
doi: 10.1038/s41588-019-0397-8
Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A, et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet. 2018;50:668–81.
pubmed: 29700475
pmcid: 5934326
doi: 10.1038/s41588-018-0090-3
Byrne EM, Zhu Z, Qi T, Skene NG, Bryois J, Pardinas AF et al. Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders. Mol Psychiatry. 2020. https://doi.org/10.1038/s41380-020-0705-9 .
Lewis CM, Vassos E. Polygenic risk scores: From research tools to clinical instruments. Genome Med. 2020;12. https://doi.org/10.1186/s13073-020-00742-5 .
Ruderfer DM, Ripke S, McQuillin A, Boocock J, Stahl EA, Pavlides JMW, et al. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes. Cell. 2018;173:1705–1715.e16.
pmcid: 6432650
doi: 10.1016/j.cell.2018.05.046
Kircher T, Wöhr M, Nenadic I, Schwarting R, Schratt G, Alferink J, et al. Neurobiology of the major psychoses: a translational perspective on brain structure and function-the FOR2107 consortium. Eur Arch Psychiatry Clin Neurosci. 2018;1:3.
Stein F, Meller T, Brosch K, Schmitt S, Ringwald K, Pfarr JK et al. Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. Schizophr Bull. 2021;47:1740–0.
Wittchen HU, Wunderlich U, Gruschwitz S, Zaudig M. SKID I. Strukturiertes Klinisches Interview für DSM-IV. Achse I: Psychische Störungen. Interviewheft und Beurteilungsheft. Eine deutschsprachige, erweiterte Bearb. d. amerikanischen Originalversion des SKID I. 1997. Göttingen: Hogrefe.
McGuffin P, Farmer A, Harvey I. A polydiagnostic application of operational criteria in studies of psychotic illness: Development and reliability of the OPCRIT system. Arch Gen Psychiatry. 1991;48:764–70.
pubmed: 1883262
doi: 10.1001/archpsyc.1991.01810320088015
Stein F, Lemmer G, Schmitt S, Brosch K, Meller T, Fischer E, et al. Factor analyses of multidimensional symptoms in a large group of patients with major depressive disorder, bipolar disorder, schizoaffective disorder and schizophrenia. Schizophr Res. 2020;218:38–47.
pubmed: 32192794
doi: 10.1016/j.schres.2020.03.011
Papenberg M. minDiff: Minimize Differences Between Groups (R package version 0.01-3) 2019. [Computer software]. Available online at: https://github.com/m-Py/minDiff .
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. 2021. Vienna, Austria. https://www.R-project.org/ .
Revelle W. psych: Procedures for Psychological, Psychometric, and Personality Research. 2022. https://cran.r-project.org/web/packages/psych/citation.html . Accessed 16 Mar 2023.
Luo L, Arizmendi C, Gates KM. Exploratory Factor Analysis (EFA) Programs in R. Multidiscipl J. 2019;26:819–26.
Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:234–97.
doi: 10.1007/BF02310555
Muthén LK, Muthén BO. Mplus User’s Guide. Eighth Edition. (1998-2017) Los Angeles, CA: Muthén & Muthén.
Maydeu-Olivares A. Maximum Likelihood Estimation of Structural Equation Models for Continuous Data: Standard Errors and Goodness of Fit. Struct Equ Model. 2017;24:383–94.
doi: 10.1080/10705511.2016.1269606
Bentler PM. Comparative Fit Indexes in Structural Models. Psychol Bull. 1990;107:238–46.
pubmed: 2320703
doi: 10.1037/0033-2909.107.2.238
Steiger JH. Structural Model Evaluation and Modification: An Interval Estimation Approach. Multivar Behav Res. 1990;25:173–80.
doi: 10.1207/s15327906mbr2502_4
Ho D, Kosuke I, King G, Stuart E. Matchit: Nonparametric Preprocessing for Parametric Causal Inference. J Stat Softw. 2011;42:1–28.
Vogelbacher C, Möbius TWD, Sommer J, Schuster V, Dannlowski U, Kircher T, et al. The Marburg-Münster Affective Disorders Cohort Study (MACS): A quality assurance protocol for MR neuroimaging data. Neuroimage. 2018;172:450–60.
pubmed: 29410079
doi: 10.1016/j.neuroimage.2018.01.079
Brosch K, Stein F, Meller T, Schmitt S, Yuksel D, Ringwald KG et al. DLPFC volume is a neural correlate of resilience in healthy high-risk individuals with both childhood maltreatment and familial risk for depression. Psychol Med. 2022;52:4139–45.
Rimol LM, Hartberg CB, Nesvåg R, Fennema-Notestine C, Hagler DJ, Pung CJ, et al. Cortical Thickness and Subcortical Volumes in Schizophrenia and Bipolar Disorder. Biol Psychiatry. 2010;68:41–50.
pubmed: 20609836
doi: 10.1016/j.biopsych.2010.03.036
Hibar DP, Westlye LT, Van Erp TGM, Rasmussen J, Leonardo CD, Faskowitz J, et al. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry. 2016;21:1710–6.
pubmed: 26857596
pmcid: 5116479
doi: 10.1038/mp.2015.227
Ashburner J, Friston KJ. Unified segmentation. Neuroimage. 2005;26:839–51.
pubmed: 15955494
doi: 10.1016/j.neuroimage.2005.02.018
Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage. 2007;38:95–113.
pubmed: 17761438
doi: 10.1016/j.neuroimage.2007.07.007
Dahnke R, Yotter RA, Gaser C. Cortical thickness and central surface estimation. Neuroimage. 2013;65:336–48.
pubmed: 23041529
doi: 10.1016/j.neuroimage.2012.09.050
Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31:968–80.
pubmed: 16530430
doi: 10.1016/j.neuroimage.2006.01.021
Meller T, Schmitt S, Stein F, Brosch K, Mosebach J, Yüksel D et al. Associations of schizophrenia risk genes ZNF804A and CACNA1C with schizotypy and modulation of attention in healthy subjects. Schizophr Res. 2019;208. https://doi.org/10.1016/j.schres.2019.04.018 .
Chang CC, Chow CC, Tellier LCAM, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: Rising to the challenge of larger and richer datasets. Gigascience. 2015;4. https://doi.org/10.1186/s13742-015-0047-8 .
Auton A, Abecasis GR, Altshuler DM, Durbin RM, Bentley DR, Chakravarti A, et al. A global reference for human genetic variation. Nature. 2015;526:68–74.
pubmed: 26432245
doi: 10.1038/nature15393
Delaneau O, Marchini J, Zagury JF. A linear complexity phasing method for thousands of genomes. Nat Methods. 2012;9:179–81.
doi: 10.1038/nmeth.1785
Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet. 2009;5. https://doi.org/10.1371/journal.pgen.1000529 .
McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies. Biometrics. 2020;76:1262–72.
pubmed: 31883270
pmcid: 8643141
doi: 10.1111/biom.13214
de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: Generalized Gene-Set Analysis of GWAS Data. PLoS Comput Biol. 2015;11:1–19.
doi: 10.1371/journal.pcbi.1004219
Watanabe K, Taskesen E, Van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8:1826 https://doi.org/10.1038/s41467-017-01261-5 .
doi: 10.1038/s41467-017-01261-5
pubmed: 29184056
pmcid: 5705698
Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics Appl Note. 2010;26:2336–7.
doi: 10.1093/bioinformatics/btq419
Ripke S, Neale BM, Corvin A, Walters JTR, Farh KH, Holmans PA, et al. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7.
pmcid: 4112379
doi: 10.1038/nature13595
Ge T, Chen CY, Ni Y, Feng YCA, Smoller JW. Polygenic prediction via Bayesian regression and continuous shrinkage priors. Nat Commun. 2019;10:1–10.
doi: 10.1038/s41467-019-09718-5
Andlauer TFM, Guzman-Parra J, Streit F, Strohmaier J, González MJ, Gil Flores S, et al. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders. Mol Psychiatry. 2021;26:1286–98.
pubmed: 31712721
doi: 10.1038/s41380-019-0558-2
Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological). 1995;57:289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x1995 .
David FS, Stein F, Andlauer TFM, Streit F, Witt SH, Herms S, et al. Genetic contributions to transdiagnostic symptom dimensions in patients with major depressive disorder, bipolar disorder, and schizophrenia spectrum disorders. Schizophr Res. 2023;252:161–71.
pubmed: 36652833
doi: 10.1016/j.schres.2023.01.002
Reininghaus U, Böhnke JR, Chavez-Baldini U, Gibbons R, Ivleva E, Clementz BA, et al. Transdiagnostic dimensions of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). World Psychiatry. 2019;18:67–76.
pubmed: 30600629
pmcid: 6313235
doi: 10.1002/wps.20607
Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L, et al. Analysis of shared heritability in common disorders of the brain. Science. 2018;360:eaap8757.
pubmed: 29930110
doi: 10.1126/science.aap8757
Schoorl J, Barbu MC, Shen X, Harris MR, Adams MJ, Whalley HC et al. Grey and white matter associations of psychotic-like experiences in a general population sample (UK Biobank). Transl Psychiatry. 2021;11. https://doi.org/10.1038/s41398-020-01131-7 .
Van Tol MJ, Van Der Meer L, Bruggeman R, Modinos G, Knegtering H, Aleman A. Voxel-based gray and white matter morphometry correlates of hallucinations in schizophrenia: The superior temporal gyrus does not stand alone. Neuroimage Clin. 2014;4:249–57.
pubmed: 25061563
doi: 10.1016/j.nicl.2013.12.008
Nickl-Jockschat T, Schneider F, Pagel AD, Laird AR, Fox PT, Eickhoff SB. Progressive pathology is functionally linked to the domains of language and emotion: Meta-analysis of brain structure changes in schizophrenia patients. Eur Arch Psychiatry Clin Neurosci. 2011;261. https://doi.org/10.1007/s00406-011-0249-8 .
Stan AD, Tamminga CA, Han K, Kim JB, Padmanabhan J, Tandon N, et al. Associating Psychotic Symptoms with Altered Brain Anatomy in Psychotic Disorders Using Multidimensional Item Response Theory Models. Cereb Cortex. 2020;30:2939–47.
pubmed: 31813988
doi: 10.1093/cercor/bhz285
van Erp TGM, Walton E, Hibar DP, Schmaal L, Jiang W, Glahn DC, et al. Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry. 2018;84:644–54.
pubmed: 29960671
pmcid: 6177304
doi: 10.1016/j.biopsych.2018.04.023
O’Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, et al. Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 2016;44:D733–D745.
pubmed: 26553804
doi: 10.1093/nar/gkv1189
Gottschall PE, Howell MD. ADAMTS expression and function in central nervous system injury and disorders. Matrix Biol. 2015;44–46:70–76.
pubmed: 25622912
pmcid: 5068130
doi: 10.1016/j.matbio.2015.01.014
Alsulami M, Munawar N, DIllon E, Oliviero G, Wynne K, Alsolami M, et al. SETD1A methyltransferase is physically and functionally linked to the DNA damage repair protein RAD18. Mol Cell Proteom. 2019;18:1428–36.
doi: 10.1074/mcp.RA119.001518
Singh T, Kurki MI, Curtis D, Purcell SM, Crooks L, McRae J, et al. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders. Nat Neurosci. 2016;19:571–7.
pubmed: 26974950
pmcid: 6689268
doi: 10.1038/nn.4267
Singh T, Neale BM, Daly MJ. Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia on behalf of the Schizophrenia Exome Meta-Analysis (SCHEMA) Consortium. medRxiv. 2020. https://www.medrxiv.org/content/10.1101/2020.09.18.20192815v1 .
Zhu Z, Zhang F, Hu H, Bakshi A, Robinson MR, Powell JE, et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat Genet. 2016;48:481–7.
pubmed: 27019110
doi: 10.1038/ng.3538
Wenze SJ, Gunthert KC, German RE. Biases in Affective Forecasting and Recall in Individuals With Depression and Anxiety Symptoms. Pers Soc Psychol Bull. 2012;38:895–906.
pubmed: 22649114
doi: 10.1177/0146167212447242
Zeighami Y, Bakken TE, Nickl-Jockschat T, Peterson Z, Jegga AG, Miller JA et al. A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases. PLoS Biol. 2023;21. https://doi.org/10.1371/JOURNAL.PBIO.3002058 .
Sullivan PF, Agrawal A, Bulik CM, Andreassen OA, Børglum AD, Breen G, et al. Psychiatric Genomics: An Update and an Agenda. Am J Psychiatry. 2018;175:15–27.
pubmed: 28969442
doi: 10.1176/appi.ajp.2017.17030283