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PMID: 31723243 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine.

Molecular psychiatry ·Vol. 25 ·No. 1 ·2020-00-00 ·Pages 48-66

Yang Z, Zhou D, Li H, Cai X, Liu W, Wang L, Chang H, Li M, Xiao X

Abstract

Schizophrenia and bipolar disorder (BPD) are believed to share clinical features, etiological factors, and disease pathologies (such as impaired cognitive functions and dendritic spine pathology). Meanwhile, there is growing evidence of shared genetic risk between schizophrenia and BPD, despite that our knowledge of the functional risk variations and biological mechanisms is still limited. Here, we conduct summary data-based Mendelian randomization (SMR) analyses through combining the statistical data from genome-wide association studies (GWAS) of both schizophrenia and BPD and multiple expression quantitative trait loci (eQTL) datasets of the human brain dorsolateral prefrontal cortex (DLPFC) tissues. These integrative investigations identify a lead risk locus at the chromosome 3p21.1 region, which contains numerous single-nucleotide polymorphisms (SNPs) in varied linkage disequilibrium (LD) and encompasses more than 20 genes. Further analyses suggest that many SNPs at 3p21.1 are significantly associated with both schizophrenia and BPD, and even depression, and the psychiatric risk alleles at 3p21.1 are correlated with mRNA expression of multiple genes such as NEK4, GNL3, and PBRM1. We also identify a 335-bp functional Alu polymorphism rs71052682 in significant LD with the psychiatric GWAS risk SNP rs2251219, and confirm the regulatory effects of this Alu polymorphism on transcription activities. We then explore the involvement of the 3p21.1 locus in the common clinical features and etiology of these illnesses. We reveal that psychiatric risk alleles at 3p21.1 in low-to-high LD consistently predict worse cognitive functions in humans, and manipulating the gene expression (NEK4, GNL3, and PBRM1) linked with higher genetic risk could reduce the density of mushroom dendritic spines in rat primary cortical neurons, mirroring the spine pathology in the prefrontal cortex of psychiatric patients. Our results find that, although the risk alleles at 3p21.1 are in low-to-moderate LD spanning a large genomic area, their underlying biological mechanisms in psychiatric disorders likely converge. These results provide essential insights into the neural mechanisms underlying the chromosome 3p21.1 risk locus in the shared pathological and etiological features of both schizophrenia and BPD.

MeSH Terms
Alleles Animals Bipolar Disorder/genetics Cell Line Chromosomes, Human, Pair 3/genetics Cognition/physiology Databases, Genetic Dendritic Spines/genetics Female Gene Expression/genetics Gene Frequency/genetics Genetic Predisposition to Disease Genome-Wide Association Study/methods Humans Linkage Disequilibrium/genetics Male Mental Disorders/genetics,metabolism Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics Rats Rats, Sprague-Dawley Risk Factors Schizophrenia/genetics
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Yang Zhihui
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
Zhou Danyang
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
Li Huijuan
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
Cai Xin
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
Liu Weipeng
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
Wang Lu
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Chang Hong
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
Li Ming ORCID
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. [email protected]. | Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. [email protected]. | CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. [email protected].
Xiao Xiao
Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. [email protected].
References (130)
130 references, click to expand
  1. Schizophrenia.
    van Os J, Kapur S. Schizophrenia. Lancet. 2009;374:635–45. PMID: 19700006
  2. Bipolar disorders.
    Vieta E, Berk M, Schulze TG, Carvalho AF, Suppes T, Calabrese JR, et al. Bipolar disorders. Nat Rev Dis Prim. 2018;4:18008. PMID: 29516993
  3. Rates and Predictors of Conversion to Schizophrenia or Bipolar Disorder Following Substance-Induced Psychosis.
    Starzer MSK, Nordentoft M, Hjorthoj C. Rates and predictors of conversion to schizophrenia or bipolar disorder following substance-induced psychosis. Am J Psychiatry. 2018;175:343–50. PMID: 29179576
  4. Vermeulen JM, Wootton RE, Treur JL, Sallis HM, Jones HJ, Zammit S, et al. Smoking and the risk for bipolar disorder: evidence from a bidirectional Mendelian randomisation study. Br J Psychiatry. https://doi.org/10.1192/bjp.2019.202 .
  5. Cannabis use and risk of schizophrenia: a Mendelian randomization study.
    Vaucher J, Keating BJ, Lasserre AM, Gan W, Lyall DM, Ward J, et al. Cannabis use and risk of schizophrenia: a Mendelian randomization study. Mol Psychiatry. 2018;23:1287–92. PMID: 28115737
  6. Rethinking the association between smoking and schizophrenia.
    Gage SH, Munafo MR. Rethinking the association between smoking and schizophrenia. Lancet Psychiatry. 2015;2:118–9. PMID: 26359739
  7. Cognition as a target in schizophrenia, bipolar disorder and depression.
    Martinez-Aran A, Vieta E. Cognition as a target in schizophrenia, bipolar disorder and depression. Eur Neuropsychopharmacol. 2015;25:151–7. PMID: 25661911
  8. Report of the Chairman of the Executive Board of the American Public Health Association to the Governing Council, 1970.
    Sheffield JM, Kandala S, Tamminga CA, Pearlson GD, Keshavan MS, Sweeney JA, et al. Transdiagnostic associations between functional brain network integrity and cognition. JAMA Psychiatry. 2017;74:605–13. PMID: 5539843
  9. Neurocognitive dysfunction in bipolar and schizophrenia spectrum disorders depends on history of psychosis rather than diagnostic group.
    Simonsen C, Sundet K, Vaskinn A, Birkenaes AB, Engh JA, Faerden A, et al. Neurocognitive dysfunction in bipolar and schizophrenia spectrum disorders depends on history of psychosis rather than diagnostic group. Schizophr Bull. 2011;37:73–83. PMID: 19443616
  10. Changes in excitability of rat atria caused by phenothiazine derivatives.
    Hill SK, Reilly JL, Keefe RS, Gold JM, Bishop JR, Gershon ES, et al. Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Am J Psychiatry. 2013;170:1275–84. PMID: 5314430
  11. Neurocognitive endophenotypes for bipolar disorder identified in multiplex multigenerational families.
    Glahn DC, Almasy L, Barguil M, Hare E, Peralta JM, Kent JW Jr., et al. Neurocognitive endophenotypes for bipolar disorder identified in multiplex multigenerational families. Arch Gen Psychiatry. 2010;67:168–77. PMID: 20124116
  12. Prefrontal cortical dendritic spine pathology in schizophrenia and bipolar disorder.
    Konopaske GT, Lange N, Coyle JT, Benes FM. Prefrontal cortical dendritic spine pathology in schizophrenia and bipolar disorder. JAMA Psychiatry. 2014;71:1323–31. PMID: 25271938
  13. Glantz LA, Lewis DA. Decreased dendritic spine density on prefrontal cortical pyramidal neurons in schizophrenia. Arch Gen Psychiatry. 2000;57:65–73.
  14. Quantitative studies on the radiosensitivity of single cells in the nervous tissue.
    MacDonald ML, Alhassan J, Newman JT, Richard M, Gu H, Kelly RM, et al. Selective loss of smaller spines in schizophrenia. Am J Psychiatry. 2017;174:586–94. PMID: 5800878
  15. Density of small dendritic spines and microtubule-associated-protein-2 immunoreactivity in the primary auditory cortex of subjects with schizophrenia.
    McKinney BC, MacDonald ML, Newman JT, Shelton MA, DeGiosio RA, Kelly RM, et al. Density of small dendritic spines and microtubule-associated-protein-2 immunoreactivity in the primary auditory cortex of subjects with schizophrenia. Neuropsychopharmacology. 2019;44:1055–61. PMID: 30795003
  16. Dendritic spine pathology in neuropsychiatric disorders.
    Penzes P, Cahill ME, Jones KA, VanLeeuwen JE, Woolfrey KM. Dendritic spine pathology in neuropsychiatric disorders. Nat Neurosci. 2011;14:285–93. PMID: 21346746
  17. Dendritic structural plasticity and neuropsychiatric disease.
    Forrest MP, Parnell E, Penzes P. Dendritic structural plasticity and neuropsychiatric disease. Nat Rev Neurosci. 2018;19:215–34. PMID: 29545546
  18. Commingling analysis of age-of-onset in bipolar I disorder and the morbid risk for major psychoses in first degree relatives of bipolar I probands.
    Grigoroiu-Serbanescu M, Rietschel M, Hauser J, Czerski PM, Herms S, Sun X, et al. Commingling analysis of age-of-onset in bipolar I disorder and the morbid risk for major psychoses in first degree relatives of bipolar I probands. J Affect Disord. 2014;168:197–204. PMID: 25063958
  19. High concordance of bipolar I disorder in a nationwide sample of twins.
    Kieseppa T, Partonen T, Haukka J, Kaprio J, Lonnqvist J. High concordance of bipolar I disorder in a nationwide sample of twins. Am J Psychiatry. 2004;161:1814–21. PMID: 15465978
  20. The heritability of bipolar affective disorder and the genetic relationship to unipolar depression.
    McGuffin P, Rijsdijk F, Andrew M, Sham P, Katz R, Cardno A. The heritability of bipolar affective disorder and the genetic relationship to unipolar depression. Arch Gen Psychiatry. 2003;60:497–502. PMID: 12742871
  21. 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.
  22. Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study.
    Lichtenstein P, Yip BH, Bjork C, Pawitan Y, Cannon TD, Sullivan PF, et al. Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. Lancet. 2009;373:234–9. PMID: 19150704
  23. Genetics of bipolar disorder.
    Craddock N, Jones I. Genetics of bipolar disorder. J Med Genet. 1999;36:585–94. PMID: 10465107
  24. Most genome-wide significant susceptibility loci for schizophrenia and bipolar disorder reported to date cross-traditional diagnostic boundaries.
    Williams HJ, Craddock N, Russo G, Hamshere ML, Moskvina V, Dwyer S, et al. Most genome-wide significant susceptibility loci for schizophrenia and bipolar disorder reported to date cross-traditional diagnostic boundaries. Hum Mol Genet. 2011;20:387–91. PMID: 21037240
  25. The schizophrenia risk gene ZNF804A: clinical associations, biological mechanisms and neuronal functions.
    Chang H, Xiao X, Li M. The schizophrenia risk gene ZNF804A: clinical associations, biological mechanisms and neuronal functions. Mol Psychiatry. 2017;22:944–53. PMID: 28289284
  26. The bipolar disorder risk allele at CACNA1C also confers risk of recurrent major depression and of schizophrenia.
    Green EK, Grozeva D, Jones I, Jones L, Kirov G, Caesar S, et al. The bipolar disorder risk allele at CACNA1C also confers risk of recurrent major depression and of schizophrenia. Mol Psychiatry. 2010;15:1016–22. PMID: 19621016
  27. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders.
    Xiao X, Zhang C, Grigoroiu-Serbanescu M, Wang L, Li L, Zhou D, et al. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders. Mol Psychiatry. 2018;23:1957–67. PMID: 29158582
  28. Evidence of AS3MTd2d3-Associated Variants within 10q24.32-33 in the Genetic Risk of Major Affective Disorders.
    Li L, Chang H, Peng T, Li M, Xiao X. Evidence of AS3MT(d2d3)-associated variants within 10q24.32-33 in the genetic risk of major affective disorders. Mol Neuropsychiatry. 2017;2:213–8. PMID: 28277567
  29. VRK2, a Candidate Gene for Psychiatric and Neurological Disorders.
    Li M, Yue W. VRK2, a candidate gene for psychiatric and neurological disorders. Mol Neuropsychiatry. 2018;4:119–33. PMID: 30643786
  30. Cross-Disorder Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet. 2013;381:1371–9.
  31. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.
    Pardinas AF, Holmans P, Pocklington AJ, Escott-Price V, Ripke S, Carrera N, et al. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection. Nat Genet. 2018;50:381–9. PMID: 29483656
  32. Genome-wide association study identifies 30 loci associated with bipolar disorder.
    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. PMID: 31043756
  33. Meta-analysis of genome-wide association data identifies a risk locus for major mood disorders on 3p21.1.
    McMahon FJ, Akula N, Schulze TG, Muglia P, Tozzi F, Detera-Wadleigh SD, et al. Meta-analysis of genome-wide association data identifies a risk locus for major mood disorders on 3p21.1. Nat Genet. 2010;42:128–31. PMID: 20081856
  34. Replication of association of 3p21.1 with susceptibility to bipolar disorder but not major depression.
    Breen G, Lewis CM, Vassos E, Pergadia ML, Blackwood DH, Boomsma DI, et al. Replication of association of 3p21.1 with susceptibility to bipolar disorder but not major depression. Nat Genet. 2011;43:3–5. PMID: 21217634
  35. Replication study and meta-analysis in European samples supports association of the 3p21.1 locus with bipolar disorder.
    Vassos E, Steinberg S, Cichon S, Breen G, Sigurdsson E, Andreassen OA, et al. Replication study and meta-analysis in European samples supports association of the 3p21.1 locus with bipolar disorder. Biol Psychiatry. 2012;72:645–50. PMID: 22560537
  36. Genetic variants on 3q21 and in the Sp8 transcription factor gene (SP8) as susceptibility loci for psychotic disorders: a genetic association study.
    Kondo K, Ikeda M, Kajio Y, Saito T, Iwayama Y, Aleksic B, et al. Genetic variants on 3q21 and in the Sp8 transcription factor gene (SP8) as susceptibility loci for psychotic disorders: a genetic association study. PLoS ONE. 2013;8:e70964. PMID: 23967141
  37. [ECG examination of calves with nutritional muscular degeneration].
    Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7. PMID: 4112379
  38. Birnbaum R, Weinberger DR. Genetic insights into the neurodevelopmental origins of schizophrenia. Nat Rev Neurosci. 2017;18:727–40.
  39. Beyond GWASs: illuminating the dark road from association to function.
    Edwards SL, Beesley J, French JD, Dunning AM. Beyond GWASs: illuminating the dark road from association to function. Am J Hum Genet. 2013;93:779–97. PMID: 24210251
  40. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.
    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. PMID: 27019110
  41. A human-specific AS3MT isoform and BORCS7 are molecular risk factors in the 10q24.32 schizophrenia-associated locus.
    Li M, Jaffe AE, Straub RE, Tao R, Shin JH, Wang Y, et al. A human-specific AS3MT isoform and BORCS7 are molecular risk factors in the 10q24.32 schizophrenia-associated locus. Nat Med. 2016;22:649–56. PMID: 27158905
  42. Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits.
    Gamazon ER, Zwinderman AH, Cox NJ, Denys D, Derks EM. Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits. Nat Genet. 2019;51:933–40. PMID: 31086352
  43. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights.
    Gusev A, Mancuso N, Won H, Kousi M, Finucane HK, Reshef Y, et al. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet. 2018;50:538–48. PMID: 29632383
  44. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk.
    Huckins LM, Dobbyn A, Ruderfer DM, Hoffman G, Wang W, Pardinas AF, et al. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nat Genet. 2019;51:659–74. PMID: 30911161
  45. Integrative functional genomic analysis of human brain development and neuropsychiatric risks.
    Li M, Santpere G, Imamura Kawasawa Y, Evgrafov OV, Gulden FO, Pochareddy S, et al. Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science. 2018;362:eaat7615. PMID: 30545854
  46. Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk.
    Rajarajan P, Borrman T, Liao W, Schrode N, Flaherty E, Casino C et al. Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk. Science. 2018;362:eaat4311. PMID: 30545851
  47. Gandal MJ, Zhang P, Hadjimichael E, Walker RL, Chen C, Liu S, et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science. 2018;362:6420.
  48. Wang D, Liu S, Warrell J, Won H, Shi X, Navarro FCP, et al. Comprehensive functional genomic resource and integrative model for the human brain. Science. 2018;362:eaat8464.
  49. Characterization of a Human-Specific Tandem Repeat Associated with Bipolar Disorder and Schizophrenia.
    Song JHT, Lowe CB, Kingsley DM. Characterization of a human-specific tandem repeat associated with bipolar disorder and schizophrenia. Am J Hum Genet. 2018;103:421–30. PMID: 30100087
  50. A study of serum protein and retinol levels in pregnancy and toxaemia of pregnancy in women of low socio-economic status.
    Sekar A, Bialas AR, de Rivera H, Davis A, Hammond TR, Kamitaki N, et al. Schizophrenia risk from complex variation of complement component 4. Nature. 2016;530:177–83. PMID: 4752392
  51. Structural variants caused by Alu insertions are associated with risks for many human diseases.
    Payer LM, Steranka JP, Yang WR, Kryatova M, Medabalimi S, Ardeljan D, et al. Structural variants caused by Alu insertions are associated with risks for many human diseases. Proc Natl Acad Sci USA. 2017;114:E3984–E92. PMID: 28465436
  52. Marshall CR, Howrigan DP, Merico D, Thiruvahindrapuram B, Wu W, Greer DS, et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet. 2017;49:27–35.
  53. Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell. 2018;173:1705–15 e16.
  54. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits.
    Wu Y, Zeng J, Zhang F, Zhu Z, Qi T, Zheng Z, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nat Commun. 2018;9:918. PMID: 29500431
  55. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.
    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. PMID: 30718901
  56. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?
    Smith GD, Ebrahim S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32:1–22. PMID: 12689998
  57. Storage and retrieval of radiological images using a laser video disk.
    Jaffe AE, Straub RE, Shin JH, Tao R, Gao Y, Collado-Torres L, et al. Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis. Nat Neurosci. 2018;21:1117–25. PMID: 6438700
  58. Regional Heterogeneity in Gene Expression, Regulation, and Coherence in the Frontal Cortex and Hippocampus across Development and Schizophrenia.
    Collado-Torres L, Burke EE, Peterson A, Shin J, Straub RE, Rajpurohit A, et al. Regional heterogeneity in gene expression, regulation, and coherence in the frontal cortex and hippocampus across development and schizophrenia. Neuron. 2019;103:203–16. PMID: 31174959
  59. Gene expression elucidates functional impact of polygenic risk for schizophrenia.
    Fromer M, Roussos P, Sieberts SK, Johnson JS, Kavanagh DH, Perumal TM, et al. Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nat Neurosci. 2016;19:1442–53. PMID: 27668389
  60. An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome.
    Ng B, White CC, Klein HU, Sieberts SK, McCabe C, Patrick E, et al. An xQTL map integrates the genetic architecture of the human brain’s transcriptome and epigenome. Nat Neurosci. 2017;20:1418–26. PMID: 28869584
  61. Consortium PsychEncode, Akbarian S, Liu C, Knowles JA, Vaccarino FM, Farnham PJ, et al. The PsychENCODE project. Nat Neurosci. 2015;18:1707–12.
  62. Matrix eQTL: ultra fast eQTL analysis via large matrix operations.
    Shabalin AA. Matrix eQTL: ultra fast eQTL analysis via large matrix operations. Bioinformatics. 2012;28:1353–8. PMID: 22492648
  63. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.
    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. PMID: 29844566
  64. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.
    Savage JE, Jansen PR, Stringer S, Watanabe K, Bryois J, de Leeuw CA, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat Genet. 2018;50:912–9. PMID: 29942086
  65. Abnormal neural oscillations and synchrony in schizophrenia.
    Uhlhaas PJ, Singer W. Abnormal neural oscillations and synchrony in schizophrenia. Nat Rev Neurosci. 2010;11:100–13. PMID: 20087360
  66. The endophenotype concept in psychiatry: etymology and strategic intentions.
    Gottesman II, Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003;160:636–45. PMID: 12668349
  67. From genotype to EEG endophenotype: a route for post-genomic understanding of complex psychiatric disease?
    de Geus EJ. From genotype to EEG endophenotype: a route for post-genomic understanding of complex psychiatric disease? Genome Med. 2010;2:63. PMID: 20828426
  68. Doppelmayr M, Klimesch W, Stadler W, Pöllhuber D, Heine C. EEG alpha power and intelligence. Intelligence. 2002;30:289–302.
  69. Intelligence and EEG current density using low-resolution electromagnetic tomography (LORETA).
    Thatcher RW, North D, Biver C. Intelligence and EEG current density using low-resolution electromagnetic tomography (LORETA). Hum Brain Mapp. 2007;28:118–33. PMID: 16729281
  70. Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity.
    Smit DJA, Wright MJ, Meyers JL, Martin NG, Ho YYW, Malone SM, et al. Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity. Hum Brain Mapp. 2018;39:4183–95. PMID: 29947131
  71. Subcortical volumetric abnormalities in bipolar disorder.
    Hibar DP, Westlye LT, van Erp TG, Rasmussen J, Leonardo CD, Faskowitz J, et al. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry. 2016;21:1710–6. PMID: 26857596
  72. Hippocampal subfield volumes in mood disorders.
    Cao B, Passos IC, Mwangi B, Amaral-Silva H, Tannous J, Wu MJ, et al. Hippocampal subfield volumes in mood disorders. Mol Psychiatry. 2017;22:1352–8. PMID: 28115740
  73. Abnormal asymmetries in subcortical brain volume in schizophrenia.
    Okada N, Fukunaga M, Yamashita F, Koshiyama D, Yamamori H, Ohi K, et al. Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry. 2016;21:1460–6. PMID: 26782053
  74. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.
    van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016;21:547–53. PMID: 26033243
  75. de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Aleman A, Alpert KI, et al. The association between familial risk and brain abnormalities is disease specific: an ENIGMA-relatives study of schizophrenia and bipolar disorder. Biol Psychiatry. 2019;86:545–556.
  76. Novel genetic loci underlying human intracranial volume identified through genome-wide association.
    Adams HH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Renteria ME, et al. Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci. 2016;19:1569–82. PMID: 27694991
  77. Novel genetic loci associated with hippocampal volume.
    Hibar DP, Adams HHH, Jahanshad N, Chauhan G, Stein JL, Hofer E, et al. Novel genetic loci associated with hippocampal volume. Nat Commun. 2017;8:13624. PMID: 28098162
  78. Common genetic variants influence human subcortical brain structures.
    Hibar DP, Stein JL, Renteria ME, Arias-Vasquez A, Desrivieres S, Jahanshad N, et al. Common genetic variants influence human subcortical brain structures. Nature. 2015;520:224–9. PMID: 25607358
  79. Haploview: analysis and visualization of LD and haplotype maps.
    Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21:263–5. PMID: 15297300
  80. LocusZoom: regional visualization of genome-wide association scan results.
    Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010;26:2336–7. PMID: 20634204
  81. Interactome Analyses implicated CAMK2A in the genetic predisposition and pharmacological mechanism of Bipolar Disorder.
    Li H, Zhou DS, Chang H, Wang L, Liu W, Dai SX, et al. Interactome Analyses implicated CAMK2A in the genetic predisposition and pharmacological mechanism of Bipolar Disorder. J Psychiatr Res. 2019;115:165–75. PMID: 31150948
  82. Srivastava DP, Woolfrey KM, Penzes P. Analysis of dendritic spine morphology in cultured CNS neurons. J Vis Exp. 2011: e2794.
  83. Automated three-dimensional detection and shape classification of dendritic spines from fluorescence microscopy images.
    Rodriguez A, Ehlenberger DB, Dickstein DL, Hof PR, Wearne SL. Automated three-dimensional detection and shape classification of dendritic spines from fluorescence microscopy images. PLoS ONE. 2008;3:e1997. PMID: 18431482
  84. γ-Protocadherins Interact with Neuroligin-1 and Negatively Regulate Dendritic Spine Morphogenesis.
    Molumby MJ, Anderson RM, Newbold DJ, Koblesky NK, Garrett AM, Schreiner D, et al. gamma-Protocadherins interact with neuroligin-1 and negatively regulate dendritic spine morphogenesis. Cell Rep. 2017;18:2702–14. PMID: 28297673
  85. Ma L, Semick SA, Chen Q, Li C, Tao R, Price AJ, et al. Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19). Mol Psychiatry. 2019. https://doi.org/10.1038/s41380-018-0293-0 .
  86. Open chromatin profiling of human postmortem brain infers functional roles for non-coding schizophrenia loci.
    Fullard JF, Giambartolomei C, Hauberg ME, Xu K, Voloudakis G, Shao Z, et al. Open chromatin profiling of human postmortem brain infers functional roles for non-coding schizophrenia loci. Hum Mol Genet. 2017;26:1942–51. PMID: 28335009
  87. Phenotypic Landscape of Schizophrenia-Associated Genes Defines Candidates and Their Shared Functions.
    Thyme SB, Pieper LM, Li EH, Pandey S, Wang Y, Morris NS, et al. Phenotypic landscape of schizophrenia-associated genes defines candidates and their shared functions. Cell. 2019;177:478–91 e20. PMID: 30929901
  88. Neuronal impact of patient-specific aberrant NRXN1α splicing.
    Schrode N, Ho SM, Yamamuro K, Dobbyn A, Huckins L, Matos MR, et al. Synergistic effects of common schizophrenia risk variants. Nat Genet. 2019. https://doi.org/10.1038/s41588-019-0497-5 . PMID: 31784728 DOI
  89. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.
    Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40:D930–4. PMID: 22064851
  90. Alu elements: know the SINEs.
    Deininger P. Alu elements: know the SINEs. Genome Biol. 2011;12:236. PMID: 22204421
  91. International HapMap Consortium. The International HapMap Project. Nature. 2003;426:789–96.
  92. Alu elements as regulators of gene expression.
    Hasler J, Strub K. Alu elements as regulators of gene expression. Nucleic Acids Res. 2006;34:5491–7. PMID: 17020921
  93. The protocadherin 17 gene affects cognition, personality, amygdala structure and function, synapse development and risk of major mood disorders.
    Chang H, Hoshina N, Zhang C, Ma Y, Cao H, Wang Y, et al. The protocadherin 17 gene affects cognition, personality, amygdala structure and function, synapse development and risk of major mood disorders. Mol Psychiatry. 2018;23:400–12. PMID: 28070120
  94. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.
    Xiao X, Zheng F, Chang H, Ma Y, Yao YG, Luo XJ, et al. The gene encoding protocadherin 9 (PCDH9), a novel risk factor for major depressive disorder. Neuropsychopharmacology. 2018;43:1128–37. PMID: 28990594
  95. Integrative analyses of major histocompatibility complex loci in the genome-wide association studies of major depressive disorder.
    Li H, Chang H, Song X, Liu W, Li L, Wang L, et al. Integrative analyses of major histocompatibility complex loci in the genome-wide association studies of major depressive disorder. Neuropsychopharmacology. 2019;44:1552–61. PMID: 30771788
  96. Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility.
    Li M, Luo XJ, Rietschel M, Lewis CM, Mattheisen M, Muller-Myhsok B, et al. Allelic differences between Europeans and Chinese for CREB1 SNPs and their implications in gene expression regulation, hippocampal structure and function, and bipolar disorder susceptibility. Mol Psychiatry. 2014;19:452–61. PMID: 23568192
  97. Synaptic loss in schizophrenia: a meta-analysis and systematic review of synaptic protein and mRNA measures.
    Osimo EF, Beck K, Reis Marques T, Howes OD. Synaptic loss in schizophrenia: a meta-analysis and systematic review of synaptic protein and mRNA measures. Mol Psychiatry. 2019;24:549–61. PMID: 29511299
  98. Decreased expression of synapse-related genes and loss of synapses in major depressive disorder.
    Kang HJ, Voleti B, Hajszan T, Rajkowska G, Stockmeier CA, Licznerski P, et al. Decreased expression of synapse-related genes and loss of synapses in major depressive disorder. Nat Med. 2012;18:1413–7. PMID: 22885997
  99. Synaptic plasticity and depression: new insights from stress and rapid-acting antidepressants.
    Duman RS, Aghajanian GK, Sanacora G, Krystal JH. Synaptic plasticity and depression: new insights from stress and rapid-acting antidepressants. Nat Med. 2016;22:238–49. PMID: 26937618
  100. Synaptic dysfunction in depression: potential therapeutic targets.
    Duman RS, Aghajanian GK. Synaptic dysfunction in depression: potential therapeutic targets. Science. 2012;338:68–72. PMID: 23042884
  101. Berdenis van Berlekom A, Muflihah CH, Snijders G, MacGillavry HD, Middeldorp J, Hol EM, et al. Synapse pathology in schizophrenia: a meta-analysis of postsynaptic elements in postmortem brain studies. Schizophr Bull. 2019. https://doi.org/10.1093/schbul/sbz060 .
  102. Excitatory and inhibitory synaptic dysfunction in mania: an emerging hypothesis from animal model studies.
    Lee Y, Zhang Y, Kim S, Han K. Excitatory and inhibitory synaptic dysfunction in mania: an emerging hypothesis from animal model studies. Exp Mol Med. 2018;50:12. PMID: 29628501
  103. Altered GluA1 (Gria1) Function and Accumbal Synaptic Plasticity in the ClockΔ19 Model of Bipolar Mania.
    Parekh PK, Becker-Krail D, Sundaravelu P, Ishigaki S, Okado H, Sobue G, et al. Altered GluA1 (Gria1) function and accumbal synaptic plasticity in the ClockDelta19 model of bipolar mania. Biol Psychiatry. 2018;84:817–26. PMID: 28780133
  104. Synaptic dysregulation in a human iPS cell model of mental disorders.
    Wen Z, Nguyen HN, Guo Z, Lalli MA, Wang X, Su Y, et al. Synaptic dysregulation in a human iPS cell model of mental disorders. Nature. 2014;515:414–8. PMID: 25132547
  105. Spine Dynamics: Are They All the Same?
    Berry KP, Nedivi E. Spine dynamics: are they all the same? Neuron. 2017;96:43–55. PMID: 28957675
  106. Structural basis of long-term potentiation in single dendritic spines.
    Matsuzaki M, Honkura N, Ellis-Davies GC, Kasai H. Structural basis of long-term potentiation in single dendritic spines. Nature. 2004;429:761–6. PMID: 15190253
  107. Structure and function of dendritic spines.
    Nimchinsky EA, Sabatini BL, Svoboda K. Structure and function of dendritic spines. Annu Rev Physiol. 2002;64:313–53. PMID: 11826272
  108. Rapid dendritic morphogenesis in CA1 hippocampal dendrites induced by synaptic activity.
    Maletic-Savatic M, Malinow R, Svoboda K. Rapid dendritic morphogenesis in CA1 hippocampal dendrites induced by synaptic activity. Science. 1999;283:1923–7. PMID: 10082466
  109. Comprehensive integrative analyses identify GLT8D1 and CSNK2B as schizophrenia risk genes.
    Yang CP, Li X, Wu Y, Shen Q, Zeng Y, Xiong Q, et al. Comprehensive integrative analyses identify GLT8D1 and CSNK2B as schizophrenia risk genes. Nat Commun. 2018;9:838. PMID: 29483533
  110. Converge consortium. Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature. 2015;523:588–91.
  111. SIRT1 is essential for normal cognitive function and synaptic plasticity.
    Michan S, Li Y, Chou MM, Parrella E, Ge H, Long JM, et al. SIRT1 is essential for normal cognitive function and synaptic plasticity. J Neurosci. 2010;30:9695–707. PMID: 20660252
  112. ITIH3 polymorphism may confer susceptibility to psychiatric disorders by altering the expression levels of GLT8D1.
    Sasayama D, Hori H, Yamamoto N, Nakamura S, Teraishi T, Tatsumi M, et al. ITIH3 polymorphism may confer susceptibility to psychiatric disorders by altering the expression levels of GLT8D1. J Psychiatr Res. 2014;50:79–83. PMID: 24373612
  113. Schizophrenia risk variants in ITIH4 and CALN1 regulate gene expression in the dorsolateral prefrontal cortex.
    Ohi K, Shimada T, Nitta Y, Kihara H, Okubo H, Uehara T, et al. Schizophrenia risk variants in ITIH4 and CALN1 regulate gene expression in the dorsolateral prefrontal cortex. Psychiatr Genet. 2016;26:142–3. PMID: 26991396
  114. Do thin spines learn to be mushroom spines that remember?
    Bourne J, Harris KM. Do thin spines learn to be mushroom spines that remember? Curr Opin Neurobiol. 2007;17:381–6. PMID: 17498943
  115. Psychiatric risk factor ANK3/ankyrin-G nanodomains regulate the structure and function of glutamatergic synapses.
    Smith KR, Kopeikina KJ, Fawcett-Patel JM, Leaderbrand K, Gao R, Schurmann B, et al. Psychiatric risk factor ANK3/ankyrin-G nanodomains regulate the structure and function of glutamatergic synapses. Neuron. 2014;84:399–415. PMID: 25374361
  116. TAOK2 Kinase Mediates PSD95 Stability and Dendritic Spine Maturation through Septin7 Phosphorylation.
    Yadav S, Oses-Prieto JA, Peters CJ, Zhou J, Pleasure SJ, Burlingame AL, et al. TAOK2 kinase mediates PSD95 stability and dendritic spine maturation through septin7 phosphorylation. Neuron. 2017;93:379–93. PMID: 28065648
  117. CNTNAP2 stabilizes interneuron dendritic arbors through CASK.
    Gao R, Piguel NH, Melendez-Zaidi AE, Martin-de-Saavedra MD, Yoon S, Forrest MP, et al. CNTNAP2 stabilizes interneuron dendritic arbors through CASK. Mol Psychiatry. 2018;23:1832–50. PMID: 29610457
  118. Psychosis Risk Candidate ZNF804A Localizes to Synapses and Regulates Neurite Formation and Dendritic Spine Structure.
    Deans PJM, Raval P, Sellers KJ, Gatford NJF, Halai S, Duarte RRR, et al. Psychosis risk candidate ZNF804A localizes to synapses and regulates neurite formation and dendritic spine structure. Biol Psychiatry. 2017;82:49–61. PMID: 27837918
  119. Disrupted-in-Schizophrenia 1 (DISC1) regulates spines of the glutamate synapse via Rac1.
    Hayashi-Takagi A, Takaki M, Graziane N, Seshadri S, Murdoch H, Dunlop AJ, et al. Disrupted-in-Schizophrenia 1 (DISC1) regulates spines of the glutamate synapse via Rac1. Nat Neurosci. 2010;13:327–32. PMID: 20139976
  120. Epac2 induces synapse remodeling and depression and its disease-associated forms alter spines.
    Woolfrey KM, Srivastava DP, Photowala H, Yamashita M, Barbolina MV, Cahill ME, et al. Epac2 induces synapse remodeling and depression and its disease-associated forms alter spines. Nat Neurosci. 2009;12:1275–84. PMID: 19734897
  121. A Schizophrenia-Linked KALRN Coding Variant Alters Neuron Morphology, Protein Function, and Transcript Stability.
    Russell TA, Grubisha MJ, Remmers CL, Kang SK, Forrest MP, Smith KR, et al. A schizophrenia-linked KALRN coding variant alters neuron morphology, protein function, and transcript stability. Biol Psychiatry. 2018;83:499–508. PMID: 29241584
  122. Genetic insights and neurobiological implications from NRXN1 in neuropsychiatric disorders.
    Hu Z, Xiao X, Zhang Z, Li M. Genetic insights and neurobiological implications from NRXN1 in neuropsychiatric disorders. Mol Psychiatry. 2019;24:1400–14. PMID: 31138894
  123. Open Chromatin Profiling in hiPSC-Derived Neurons Prioritizes Functional Noncoding Psychiatric Risk Variants and Highlights Neurodevelopmental Loci.
    Forrest MP, Zhang H, Moy W, McGowan H, Leites C, Dionisio LE, et al. Open chromatin profiling in hiPSC-derived neurons prioritizes functional noncoding psychiatric risk variants and highlights neurodevelopmental loci. Cell Stem Cell. 2017;21:305–18 e8. PMID: 28803920
  124. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151).
    Davies G, Marioni RE, Liewald DC, Hill WD, Hagenaars SP, Harris SE, et al. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Mol Psychiatry. 2016;21:758–67. PMID: 27046643
  125. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.
    Trampush JW, Yang ML, Yu J, Knowles E, Davies G, Liewald DC, et al. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium. Mol Psychiatry. 2017;22:336–45. PMID: 28093568
  126. Identification of Genetic Loci Jointly Influencing Schizophrenia Risk and the Cognitive Traits of Verbal-Numerical Reasoning, Reaction Time, and General Cognitive Function.
    Smeland OB, Frei O, Kauppi K, Hill WD, Li W, Wang Y, et al. Identification of genetic loci jointly influencing schizophrenia risk and the cognitive traits of verbal-numerical reasoning, reaction time, and general cognitive function. JAMA Psychiatry. 2017;74:1065–75. PMID: 28746715
  127. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia.
    Hagenaars SP, Harris SE, Davies G, Hill WD, Liewald DC, Ritchie SJ, et al. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia. Mol Psychiatry. 2016;21:1624–32. PMID: 26809841
  128. Smeland OB, Bahrami S, Frei O, Shadrin A, O’Connell K, Savage J et al. Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence. Mol Psychiatry. 2019. https://doi.org/10.1038/s41380-018-0332-x .
  129. Shen SQ, Kim-Han JS, Cheng L, Xu D, Gokcumen O, Hughes AE, et al. A candidate causal variant underlying both higher intelligence and increased risk of bipolar disorder. 2019. https://www.biorxiv.org/content/10.1101/580258v1 .
  130. Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance.
    Li M, Luo XJ, Landen M, Bergen SE, Hultman CM, Li X, et al. Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance. Br J Psychiatry. 2016;208:128–37. PMID: 26338991
Article Info
Journal
Molecular psychiatry
Abbr.
Mol Psychiatry
ISSN
1476-5578
Published
2020-00-00
Epub
2019-00-13
Pages
48-66
Language
English
Region
England
NLM ID
9607835
Subset
IM
Analysis Services
Analysis Services

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