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Network Topologies and Convergent Aetiologies Arising from Deletions and Duplications Observed in Individuals with Autism


Autism Spectrum Disorders (ASD) are highly heritable and characterised by impairments in social interaction and communication, and restricted and repetitive behaviours. Considering four sets of de novo copy number variants (CNVs) identified in 181 individuals with autism and exploiting mouse functional genomics and known protein-protein interactions, we identified a large and significantly interconnected interaction network. This network contains 187 genes affected by CNVs drawn from 45% of the patients we considered and 22 genes previously implicated in ASD, of which 192 form a single interconnected cluster. On average, those patients with copy number changed genes from this network possess changes in 3 network genes, suggesting that epistasis mediated through the network is extensive. Correspondingly, genes that are highly connected within the network, and thus whose copy number change is predicted by the network to be more phenotypically consequential, are significantly enriched among patients that possess only a single ASD-associated network copy number changed gene (p = 0.002). Strikingly, deleted or disrupted genes from the network are significantly enriched in GO-annotated positive regulators (2.3-fold enrichment, corrected p = 2×10−5), whereas duplicated genes are significantly enriched in GO-annotated negative regulators (2.2-fold enrichment, corrected p = 0.005). The direction of copy change is highly informative in the context of the network, providing the means through which perturbations arising from distinct deletions or duplications can yield a common outcome. These findings reveal an extensive ASD-associated molecular network, whose topology indicates ASD-relevant mutational deleteriousness and that mechanistically details how convergent aetiologies can result extensively from CNVs affecting pathways causally implicated in ASD.


Vyšlo v časopise: Network Topologies and Convergent Aetiologies Arising from Deletions and Duplications Observed in Individuals with Autism. PLoS Genet 9(6): e32767. doi:10.1371/journal.pgen.1003523
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003523

Souhrn

Autism Spectrum Disorders (ASD) are highly heritable and characterised by impairments in social interaction and communication, and restricted and repetitive behaviours. Considering four sets of de novo copy number variants (CNVs) identified in 181 individuals with autism and exploiting mouse functional genomics and known protein-protein interactions, we identified a large and significantly interconnected interaction network. This network contains 187 genes affected by CNVs drawn from 45% of the patients we considered and 22 genes previously implicated in ASD, of which 192 form a single interconnected cluster. On average, those patients with copy number changed genes from this network possess changes in 3 network genes, suggesting that epistasis mediated through the network is extensive. Correspondingly, genes that are highly connected within the network, and thus whose copy number change is predicted by the network to be more phenotypically consequential, are significantly enriched among patients that possess only a single ASD-associated network copy number changed gene (p = 0.002). Strikingly, deleted or disrupted genes from the network are significantly enriched in GO-annotated positive regulators (2.3-fold enrichment, corrected p = 2×10−5), whereas duplicated genes are significantly enriched in GO-annotated negative regulators (2.2-fold enrichment, corrected p = 0.005). The direction of copy change is highly informative in the context of the network, providing the means through which perturbations arising from distinct deletions or duplications can yield a common outcome. These findings reveal an extensive ASD-associated molecular network, whose topology indicates ASD-relevant mutational deleteriousness and that mechanistically details how convergent aetiologies can result extensively from CNVs affecting pathways causally implicated in ASD.


Zdroje

1. KoganMD, BlumbergSJ, SchieveLA, BoyleCA, PerrinJM, et al. (2009) Prevalence of parent-reported diagnosis of autism spectrum disorder among children in the US, 2007. Pediatrics 124: 1395–1403.

2. Veenstra-VanderweeleJ, ChristianSL, CookEHJr (2004) Autism as a paradigmatic complex genetic disorder. Annu Rev Genomics Hum Genet 5: 379–405.

3. ChakrabartiS, FombonneE (2005) Pervasive developmental disorders in preschool children: confirmation of high prevalence. Am J Psychiatry 162: 1133–1141.

4. BaileyA, Le CouteurA, GottesmanI, BoltonP, SimonoffE, et al. (1995) Autism as a strongly genetic disorder: evidence from a British twin study. Psychol Med 25: 63–77.

5. StankiewiczP, LupskiJR (2010) Structural variation in the human genome and its role in disease. Annu Rev Med 61: 437–455.

6. PintoD, PagnamentaAT, KleiL, AnneyR, MericoD, et al. (2010) Functional impact of global rare copy number variation in autism spectrum disorders. Nature 466: 368–372.

7. LarsenFW, MouridsenSE (1997) The outcome in children with childhood autism and Asperger syndrome originally diagnosed as psychotic. A 30-year follow-up study of subjects hospitalized as children. Eur Child Adolesc Psychiatry 6: 181–190.

8. ReichenbergA, GrossR, WeiserM, BresnahanM, SilvermanJ, et al. (2006) Advancing paternal age and autism. Arch Gen Psychiatry 63: 1026–1032.

9. WebberC (2011) Functional Enrichment Analysis with Structural Variants: Pitfalls and Strategies. Cytogenet Genome Res 135: 277–85.

10. StateMW, LevittP (2011) The conundrums of understanding genetic risks for autism spectrum disorders. Nat Neurosci 14: 1499–1506.

11. WebberC, Hehir-KwaJY, NguyenDQ, de VriesBB, VeltmanJA, et al. (2009) Forging links between human mental retardation-associated CNVs and mouse gene knockout models. PLoS Genet 5: e1000531.

12. ShaikhTH, Haldeman-EnglertC, GeigerEA, PontingCP, WebberC (2011) Genes and biological processes commonly disrupted in rare and heterogeneous developmental delay syndromes. Hum Mol Genet 20: 880–893.

13. GaiX, XieHM, PerinJC, TakahashiN, MurphyK, et al. (2012) Rare structural variation of synapse and neurotransmission genes in autism. Mol Psychiatry 17: 402–411.

14. NealeBM, KouY, LiuL, Ma'ayanA, SamochaKE, et al. (2012) Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485: 242–245.

15. O'RoakBJ, VivesL, GirirajanS, KarakocE, KrummN, et al. (2012) Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485: 246–250.

16. Ben-DavidE, ShifmanS (2012) Networks of neuronal genes affected by common and rare variants in autism spectrum disorders. PLoS Genet 8: e1002556.

17. GilmanSR, IossifovI, LevyD, RonemusM, WiglerM, et al. (2011) Rare de novo variants associated with autism implicate a large functional network of genes involved in formation and function of synapses. Neuron 70: 898–907.

18. BasuSN, KolluR, Banerjee-BasuS (2009) AutDB: a gene reference resource for autism research. Nucleic Acids Res 37: D832–836.

19. SandersSJ, MurthaMT, GuptaAR, MurdochJD, RaubesonMJ, et al. (2012) De novo mutations revealed by whole-exome sequencing are strongly associated with autism. Nature 485: 237–241.

20. LevyD, RonemusM, YamromB, LeeYH, LeottaA, et al. (2011) Rare de novo and transmitted copy-number variation in autistic spectrum disorders. Neuron 70: 886–897.

21. SmithCL, EppigJT (2009) The Mammalian Phenotype Ontology: enabling robust annotation and comparative analysis. Wiley Interdiscip Rev Syst Biol Med 1: 390–399.

22. SupekF, BosnjakM, SkuncaN, SmucT (2011) REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS One 6: e21800.

23. JeongH, MasonSP, BarabasiAL, OltvaiZN (2001) Lethality and centrality in protein networks. Nature 411: 41–42.

24. BourgeronT (2009) A synaptic trek to autism. Curr Opin Neurobiol 19: 231–234.

25. GreenD, CharmanT, PicklesA, ChandlerS, LoucasT, et al. (2009) Impairment in movement skills of children with autistic spectrum disorders. Dev Med Child Neurol 51: 311–316.

26. MingX, BrimacombeM, WagnerGC (2007) Prevalence of motor impairment in autism spectrum disorders. Brain Dev 29: 565–570.

27. StaplesKL, ReidG (2010) Fundamental movement skills and autism spectrum disorders. J Autism Dev Disord 40: 209–217.

28. WhiteSW, OswaldD, OllendickT, ScahillL (2009) Anxiety in children and adolescents with autism spectrum disorders. Clin Psychol Rev 29: 216–229.

29. Giovanardi RossiP, PosarA, ParmeggianiA (2000) Epilepsy in adolescents and young adults with autistic disorder. Brain Dev 22: 102–106.

30. SteffenburgS, GillbergC, SteffenburgU (1996) Psychiatric disorders in children and adolescents with mental retardation and active epilepsy. Arch Neurol 53: 904–912.

31. TuchmanRF, RapinI, ShinnarS (1991) Autistic and dysphasic children. II: Epilepsy. Pediatrics 88: 1219–1225.

32. KlinA (1993) Auditory brainstem responses in autism: brainstem dysfunction or peripheral hearing loss? J Autism Dev Disord 23: 15–35.

33. HitoglouM, VerveriA, AntoniadisA, ZafeiriouDI (2010) Childhood autism and auditory system abnormalities. Pediatr Neurol 42: 309–314.

34. DonaldsonAI, HeavnerKS, ZwolanTA (2004) Measuring progress in children with autism spectrum disorder who have cochlear implants. Arch Otolaryngol Head Neck Surg 130: 666–671.

35. BosmanEA, PennAC, AmbroseJC, KettleboroughR, StempleDL, et al. (2005) Multiple mutations in mouse Chd7 provide models for CHARGE syndrome. Hum Mol Genet 14: 3463–3476.

36. VitelliF, ViolaA, MorishimaM, PramparoT, BaldiniA, et al. (2003) TBX1 is required for inner ear morphogenesis. Hum Mol Genet 12: 2041–2048.

37. MoySS, NadlerJJ (2008) Advances in behavioral genetics: mouse models of autism. Mol Psychiatry 13: 4–26.

38. GotzJ, IttnerLM (2008) Animal models of Alzheimer's disease and frontotemporal dementia. Nat Rev Neurosci 9: 532–544.

39. CervinskiMA, FosterJD, VaughanRA (2010) Syntaxin 1A regulates dopamine transporter activity, phosphorylation and surface expression. Neuroscience 170: 408–416.

40. TangBL, GeeHY, LeeMG (2011) The cystic fibrosis transmembrane conductance regulator's expanding SNARE interactome. Traffic 12: 364–371.

41. EdelmannL, HansonPI, ChapmanER, JahnR (1995) Synaptobrevin binding to synaptophysin: a potential mechanism for controlling the exocytotic fusion machine. EMBO J 14: 224–231.

42. McMahonHT, MisslerM, LiC, SudhofTC (1995) Complexins: cytosolic proteins that regulate SNAP receptor function. Cell 83: 111–119.

43. HauckeV, NeherE, SigristSJ (2011) Protein scaffolds in the coupling of synaptic exocytosis and endocytosis. Nat Rev Neurosci 12: 127–138.

44. KimS, JhoEH (2010) The protein stability of Axin, a negative regulator of Wnt signaling, is regulated by Smad ubiquitination regulatory factor 2 (Smurf2). J Biol Chem 285: 36420–36426.

45. MakBC, KenersonHL, AicherLD, BarnesEA, YeungRS (2005) Aberrant beta-catenin signaling in tuberous sclerosis. Am J Pathol 167: 107–116.

46. ZhangY, NeoSY, HanJ, LinSC (2000) Dimerization choices control the ability of axin and dishevelled to activate c-Jun N-terminal kinase/stress-activated protein kinase. J Biol Chem 275: 25008–25014.

47. WhartonKAJr, ZimmermannG, RoussetR, ScottMP (2001) Vertebrate proteins related to Drosophila Naked Cuticle bind Dishevelled and antagonize Wnt signaling. Dev Biol 234: 93–106.

48. SchneiderI, SchneiderPN, DerrySW, LinS, BartonLJ, et al. (2010) Zebrafish Nkd1 promotes Dvl degradation and is required for left-right patterning. Dev Biol 348: 22–33.

49. WillnowTE, RohlmannA, HortonJ, OtaniH, BraunJR, et al. (1996) RAP, a specialized chaperone, prevents ligand-induced ER retention and degradation of LDL receptor-related endocytic receptors. EMBO J 15: 2632–2639.

50. ZhangY, SunY, WangF, WangZ, PengY, et al. (2012) Downregulating the Canonical Wnt/beta-catenin Signaling Pathway Attenuates the Susceptibility to Autism-like Phenotypes by Decreasing Oxidative Stress. Neurochem Res 37: 1409–1419.

51. OkerlundND, CheyetteBN (2011) Synaptic Wnt signaling-a contributor to major psychiatric disorders? J Neurodev Disord 3: 162–174.

52. MinesMA, YuskaitisCJ, KingMK, BeurelE, JopeRS (2010) GSK3 influences social preference and anxiety-related behaviors during social interaction in a mouse model of fragile X syndrome and autism. PLoS One 5: e9706.

53. FischbachGD, LordC (2010) The Simons Simplex Collection: a resource for identification of autism genetic risk factors. Neuron 68: 192–195.

54. MarshallCR, NoorA, VincentJB, LionelAC, FeukL, et al. (2008) Structural variation of chromosomes in autism spectrum disorder. Am J Hum Genet 82: 477–488.

55. SandersSJ, Ercan-SencicekAG, HusV, LuoR, MurthaMT, et al. (2011) Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron 70: 863–885.

56. HubbardTJ, AkenBL, AylingS, BallesterB, BealK, et al. (2009) Ensembl 2009. Nucleic Acids Res 37: D690–697.

57. EppigJT, BultCJ, KadinJA, RichardsonJE, BlakeJA, et al. (2005) The Mouse Genome Database (MGD): from genes to mice–a community resource for mouse biology. Nucleic Acids Res 33: D471–475.

58. EppigJT, BlakeJA, BultCJ, RichardsonJE, KadinJA, et al. (2007) Mouse genome informatics (MGI) resources for pathology and toxicology. Toxicol Pathol 35: 456–457.

59. BultCJ, EppigJT, KadinJA, RichardsonJE, BlakeJA (2008) The Mouse Genome Database (MGD): mouse biology and model systems. Nucleic Acids Res 36: D724–728.

60. RossinEJ, LageK, RaychaudhuriS, XavierRJ, TatarD, et al. (2011) Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology. PLoS Genet 7: e1001273.

61. BenjaminiY, HochbergY (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B (Methodological) 57: 289–300.

62. MuddashettyRS, NalavadiVC, GrossC, YaoX, XingL, et al. (2011) Reversible inhibition of PSD-95 mRNA translation by miR-125a, FMRP phosphorylation, and mGluR signaling. Mol Cell 42: 673–688.

63. ChenHJ, Rojas-SotoM, OguniA, KennedyMB (1998) A synaptic Ras-GTPase activating protein (p135 SynGAP) inhibited by CaM kinase II. Neuron 20: 895–904.

64. HartMJ, MaruY, LeonardD, WitteON, EvansT, et al. (1992) A GDP dissociation inhibitor that serves as a GTPase inhibitor for the Ras-like protein CDC42Hs. Science 258: 812–815.

65. RainesKW, CaoGL, LeeEK, RosenGM, ShapiroP (2006) Neuronal nitric oxide synthase-induced S-nitrosylation of H-Ras inhibits calcium ionophore-mediated extracellular-signal-regulated kinase activity. Biochem J 397: 329–336.

66. NikonenkoI, BodaB, SteenS, KnottG, WelkerE, et al. (2008) PSD-95 promotes synaptogenesis and multiinnervated spine formation through nitric oxide signaling. J Cell Biol 183: 1115–1127.

67. RuthP, WangGX, BoekhoffI, MayB, PfeiferA, et al. (1993) Transfected cGMP-dependent protein kinase suppresses calcium transients by inhibition of inositol 1,4,5-trisphosphate production. Proc Natl Acad Sci U S A 90: 2623–2627.

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