Mapping the cortico-striatal transcriptome in attention deficit hyperactivity disorder

Faraone SV, Larsson H. Genetics of attention deficit hyperactivity disorder. Mol Psychiatry. 2019;24:562–75.

Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat Genet. 2019;51:63–75.

Harich B, van der Voet M, Klein M, Čížek P, Fenckova M, Schenck A, et al. From rare copy number variants to biological processes in ADHD. Am J Psychiatry. 2020;177:855–66.

PubMed  Google Scholar 

Qi X, Wang S, Zhang L, Liu L, Wen Y, Ma M, et al. An integrative analysis of transcriptome-wide association study and mRNA expression profile identified candidate genes for attention-deficit/hyperactivity disorder. Psychiatry Res. 2019;282:112639.

PubMed  CAS  Google Scholar 

Liao C, Laporte AD, Spiegelman D, Akçimen F, Joober R, Dion PA, et al. Transcriptome-wide association study of attention deficit hyperactivity disorder identifies associated genes and phenotypes. Nat Commun. 2019;10:1–7.

Google Scholar 

McCaffrey TA, St Laurent G, Shtokalo D, Antonets D, Vyatkin Y, Jones D, et al. Biomarker discovery in attention deficit hyperactivity disorder: RNA sequencing of whole blood in discordant twin and case-controlled cohorts. BMC Med Genomics. 2020;13:1–17.

Google Scholar 

Lorenzo G, Braun J, Muñoz G, Casarejos MJ, Bazán E, Jimenez-Escrig A. RNA-Seq blood transcriptome profiling in familial attention deficit and hyperactivity disorder (ADHD). Psychiatry Res. 2018;270:544–6.

PubMed  CAS  Google Scholar 

Mortimer N, Sánchez-Mora C, Rovira P, Vilar-Ribó L, Richarte V, Corrales M, et al. Transcriptome profiling in adult attention-deficit hyperactivity disorder. Eur Neuropsychopharmacol. 2020;41:160–6.

PubMed  CAS  Google Scholar 

Hoogman M, Muetzel R, Guimaraes JP, Shumskaya E, Mennes M, Zwiers MP, et al. Brain imaging of the cortex in ADHD: a coordinated analysis of large-scale clinical and population-based samples. Am J Psychiatry. 2019;176:531–42.

PubMed  PubMed Central  Google Scholar 

Hoogman M, Buitelaar JK, Faraone SV, Shaw P, Franke B. Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults–Authors’ reply. Lancet Psychiatry. 2017;4:440–1.

PubMed  Google Scholar 

Hart H, Radua J, Nakao T, Mataix-Cols D, Rubia K. Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects, ADHD functional MR imaging studies meta-analysis. JAMA Psychiatry. 2013;70:185–98.

PubMed  Google Scholar 

Fusar-Poli P, Rubia K, Rossi G, Sartori G, Balottin U. Striatal dopamine transporter alterations in ADHD: pathophysiology or adaptation to psychostimulants? a meta-analysis. Am J Psychiatry. 2012;169:264–72.

PubMed  Google Scholar 

Volkow ND, Wang G-J, Kollins SH, Wigal TL, Newcorn JH, Telang F, et al. Evaluating dopamine reward pathway in ADHD: clinical implications.[Erratum appears in JAMA. 2009 Oct 7;302(13):1420]. JAMA. 2009;302:1084–91.

PubMed  PubMed Central  CAS  Google Scholar 

Elia J, Glessner JT, Wang K, Takahashi N, Shtir CJ, Hadley D, et al. Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder. Nat Genet. 2012;44:78–84.

CAS  Google Scholar 

Halperin JM, Schulz KP. Revisiting the role of the prefrontal cortex in the pathophysiology of attention-deficit/hyperactivity disorder. Psychol Bull. 2006;132:560.

PubMed  Google Scholar 

Shaw P, Sudre G. Adolescent attention-deficit/hyperactivity disorder: understanding teenage symptom trajectories. Biol Psychiatry. 2021;89:152–61.

PubMed  CAS  Google Scholar 

Schulz KP, Li X, Clerkin SM, Fan J, Berwid OG, Newcorn JH, et al. Prefrontal and parietal correlates of cognitive control related to the adult outcome of attention-deficit/hyperactivity disorder diagnosed in childhood. Cortex. 2017;90:1–11.

PubMed  PubMed Central  Google Scholar 

Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, et al. Discovery of the first genome-wide significant risk loci for ADHD. bioRxiv. 2017.

Serretti A, Fabbri C. Shared genetics among major psychiatric disorders. Lancet. 2013;381:1339–41.

PubMed  Google Scholar 

Opel N, Goltermann J, Hermesdorf M, Berger K, Baune BT, Dannlowski U. Cross-disorder analysis of brain structural abnormalities in six major psychiatric disorders: a secondary analysis of mega-and meta-analytical findings from the ENIGMA consortium. Biol Psychiatry. 2020;88:678–86.

PubMed  Google Scholar 

Abramovitch A, Short T, Schweiger A. The C factor: cognitive dysfunction as a transdiagnostic dimension in psychopathology. Clin Psychol Rev. 2021;86:102007.

Hartley SW, Mullikin JC. QoRTs: a comprehensive toolset for quality control and data processing of RNA-Seq experiments. BMC Bioinforma. 2015;16:224.

Google Scholar 

Chen Y, Lun AT, Smyth GK. From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline. F1000Res. 2016;5:1438.

PubMed  PubMed Central  Google Scholar 

Bourgon R, Gentleman R, Huber W. Independent filtering increases detection power for high-throughput experiments. Proc Natl Acad Sci USA 2010;107:9546–51.

PubMed  PubMed Central  CAS  Google Scholar 

Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20:141–51.

Google Scholar 

Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:1–21.

Google Scholar 

Genomes Project C, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, et al. A global reference for human genetic variation. Nature. 2015;526:68–74.

Google Scholar 

de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015;11:e1004219.

PubMed  PubMed Central  Google Scholar 

Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019;51:431–44.

PubMed  PubMed Central  CAS  Google Scholar 

Howard DM, Adams MJ, Clarke TK, Hafferty JD, Gibson J, Shirali M, et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci. 2019;22:343–52.

PubMed  PubMed Central  CAS  Google Scholar 

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  PubMed Central  CAS  Google Scholar 

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  PubMed Central  CAS  Google Scholar 

Ripke S, Walters JT, O’Donovan MC, Consortium TSWGoPG. Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. medRxiv. 2020.

Yu D, Sul JH, Tsetsos F, Nawaz MS, Huang AY, Zelaya I, et al. Interrogating the genetic determinants of Tourette’s syndrome and other Tic disorders through genome-wide association studies. Am J Psychiatry. 2019;176:217–27.

PubMed  PubMed Central  Google Scholar 

International Obsessive Compulsive Disorder Foundation Genetics Collaborative, Studies OCDCGA. Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis. Mol Psychiatry. 2018;23:1181–8.

Google Scholar 

Nievergelt CM, Maihofer AX, Klengel T, Atkinson EG, Chen CY, Choi KW, et al. International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. Nat Commun. 2019;10:4558.

PubMed  PubMed Central  Google Scholar 

Kweon K, Shin ES, Park KJ, Lee JK, Joo Y, Kim HW. Genome-wide analysis reveals four novel loci for attention-deficit hyperactivity disorder in Korean youths. Soa Chongsonyon Chongsin Uihak. 2018;29:62–72.

PubMed  PubMed Central  Google Scholar 

Wang KS, Liu X, Zhang Q, Pan Y, Aragam N, Zeng M. A meta-analysis of two genome-wide association studies identifies 3 new loci for alcohol dependence. J Psychiatr Res. 2011;45:1419–25.

PubMed  Google Scholar 

Zuo L, Gelernter J, Zhang CK, Zhao H, Lu L, Kranzler HR, et al. Genome-wide association study of alcohol dependence implicates KIAA0040 on chromosome 1q. Neuropsychopharmacology. 2012;37:557–66.

PubMed  CAS  Google Scholar 

Zuo L, Tan Y, Zhang X, Wang X, Krystal J, Tabakoff B, et al. A new genomewide association meta-analysis of alcohol dependence. Alcohol Clin Exp Res. 2015;39:1388–95.

PubMed  PubMed Central  CAS  Google Scholar 

Sprooten E, Fleming KM, Thomson PA, Bastin ME, Whalley HC, Hall J, et al. White matter integrity as an intermediate phenotype: exploratory genome-wide association analysis in individuals at high risk of bipolar disorder. Psychiatry Res. 2013;206:223–31.

PubMed  Google Scholar 

Kichaev G, Bhatia G, Loh PR, Gazal S, Burch K, Freund MK, et al. Leveraging polygenic functional enrichment to improve GWAS power. Am J Hum Genet. 2019;104:65–75.

PubMed  CAS  Google Scholar 

van der Meer D, Frei O, Kaufmann T, Shadrin AA, Devor A, Smeland OB, et al. Understanding the genetic determinants of the brain with MOSTest. Nat Commun. 2020;11:3512.

PubMed  PubMed Central  Google Scholar 

Davies G, Lam M, Harris SE, Trampush JW, Luciano M, Hill WD, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2018;9:2098.

PubMed  PubMed Central  Google Scholar 

Lemarchant S, Pruvost M, Montaner J, Emery E, Vivien D, Kanninen K, et al. ADAMTS proteoglycanases in the physiological and pathological central nervous system. J Neuroinflammation. 2013;10:133.

PubMed  PubMed Central  Google Scholar 

Qiu Z, Yang J, Deng G, Li D, Zhang S. Angiopoietin-like 4 promotes angiogenesis and neurogenesis in a mouse model of acute ischemic stroke. Brain Res Bull. 2021;168:156–64.

PubMed  CAS  Google Scholar 

Cicvaric A, Sachernegg HM, Stojanovic T, Symmank D, Smani T, Moeslinger T, et al. Podoplanin gene disruption in mice promotes in vivo neural progenitor cells proliferation, selectively impairs dentate gyrus synaptic depression and induces anxiety-like behaviors. Front Cell Neurosci. 2019;13:561.

PubMed  CAS  Google Scholar 

Mahajan GJ, Vallender EJ, Garrett MR, Challagundla L, Overholser JC, Jurjus G, et al. Altered neuro-inflammatory gene expression in hippocampus in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2018;82:177–86.

PubMed  CAS  Google Scholar 

Elkjaer ML, Frisch T, Reynolds R, Kacprowski T, Burton M, Kruse TA, et al. Unique RNA signature of different lesion types in the brain white matter in progressive multiple sclerosis. Acta Neuropathol Commun. 2019;7:58.

PubMed  PubMed Central 

留言 (0)

沒有登入
gif