Clyde Francks

Publications

Displaying 1 - 13 of 13
  • Carrion Castillo, A., Maassen, B., Franke, B., Heister, A., Naber, M., Van der Leij, A., Francks, C., & Fisher, S. E. (2017). Association analysis of dyslexia candidate genes in a Dutch longitudinal sample. European Journal of Human Genetics, 25(4), 452-460. doi:10.1038/ejhg.2016.194.

    Abstract

    Dyslexia is a common specific learning disability with a substantive genetic component. Several candidate genes have been proposed to be implicated in dyslexia susceptibility, such as DYX1C1, ROBO1, KIAA0319, and DCDC2. Associations with variants in these genes have also been reported with a variety of psychometric measures tapping into the underlying processes that might be impaired in dyslexic people. In this study, we first conducted a literature review to select single nucleotide polymorphisms (SNPs) in dyslexia candidate genes that had been repeatedly implicated across studies. We then assessed the SNPs for association in the richly phenotyped longitudinal data set from the Dutch Dyslexia Program. We tested for association with several quantitative traits, including word and nonword reading fluency, rapid naming, phoneme deletion, and nonword repetition. In this, we took advantage of the longitudinal nature of the sample to examine if associations were stable across four educational time-points (from 7 to 12 years). Two SNPs in the KIAA0319 gene were nominally associated with rapid naming, and these associations were stable across different ages. Genetic association analysis with complex cognitive traits can be enriched through the use of longitudinal information on trait development.
  • Chen, X. S., Reader, R. H., Hoischen, A., Veltman, J. A., Simpson, N. H., Francks, C., Newbury, D. F., & Fisher, S. E. (2017). Next-generation DNA sequencing identifies novel gene variants and pathways involved in specific language impairment. Scientific Reports, 7: 46105. doi:10.1038/srep46105.

    Abstract

    A significant proportion of children have unexplained problems acquiring proficient linguistic skills despite adequate intelligence and opportunity. Developmental language disorders are highly heritable with substantial societal impact. Molecular studies have begun to identify candidate loci, but much of the underlying genetic architecture remains undetermined. We performed whole-exome sequencing of 43 unrelated probands affected by severe specific language impairment, followed by independent validations with Sanger sequencing, and analyses of segregation patterns in parents and siblings, to shed new light on aetiology. By first focusing on a pre-defined set of known candidates from the literature, we identified potentially pathogenic variants in genes already implicated in diverse language-related syndromes, including ERC1, GRIN2A, and SRPX2. Complementary analyses suggested novel putative candidates carrying validated variants which were predicted to have functional effects, such as OXR1, SCN9A and KMT2D. We also searched for potential “multiple-hit” cases; one proband carried a rare AUTS2 variant in combination with a rare inherited haplotype affecting STARD9, while another carried a novel nonsynonymous variant in SEMA6D together with a rare stop-gain in SYNPR. On broadening scope to all rare and novel variants throughout the exomes, we identified biological themes that were enriched for such variants, including microtubule transport and cytoskeletal regulation.
  • Gialluisi, A., Guadalupe, T., Francks, C., & Fisher, S. E. (2017). Neuroimaging genetic analyses of novel candidate genes associated with reading and language. Brain and Language, 172, 9-15. doi:10.1016/j.bandl.2016.07.002.

    Abstract

    Neuroimaging measures provide useful endophenotypes for tracing genetic effects on reading and language. A recent Genome-Wide Association Scan Meta-Analysis (GWASMA) of reading and language skills (N = 1862) identified strongest associations with the genes CCDC136/FLNC and RBFOX2. Here, we follow up the top findings from this GWASMA, through neuroimaging genetics in an independent sample of 1275 healthy adults. To minimize multiple-testing, we used a multivariate approach, focusing on cortical regions consistently implicated in prior literature on developmental dyslexia and language impairment. Specifically, we investigated grey matter surface area and thickness of five regions selected a priori: middle temporal gyrus (MTG); pars opercularis and pars triangularis in the inferior frontal gyrus (IFG-PO and IFG-PT); postcentral parietal gyrus (PPG) and superior temporal gyrus (STG). First, we analysed the top associated polymorphisms from the reading/language GWASMA: rs59197085 (CCDC136/FLNC) and rs5995177 (RBFOX2). There was significant multivariate association of rs5995177 with cortical thickness, driven by effects on left PPG, right MTG, right IFG (both PO and PT), and STG bilaterally. The minor allele, previously associated with reduced reading-language performance, showed negative effects on grey matter thickness. Next, we performed exploratory gene-wide analysis of CCDC136/FLNC and RBFOX2; no other associations surpassed significance thresholds. RBFOX2 encodes an important neuronal regulator of alternative splicing. Thus, the prior reported association of rs5995177 with reading/language performance could potentially be mediated by reduced thickness in associated cortical regions. In future, this hypothesis could be tested using sufficiently large samples containing both neuroimaging data and quantitative reading/language scores from the same individuals.

    Additional information

    mmc1.docx
  • Guadalupe, T., Mathias, S. R., Van Erp, T. G. M., Whelan, C. D., Zwiers, M. P., Abe, Y., Abramovic, L., Agartz, I., Andreassen, O. A., Arias-Vásquez, A., Aribisala, B. S., Armstrong, N. J., Arolt, V., Artiges, E., Ayesa-Arriola, R., Baboyan, V. G., Banaschewski, T., Barker, G., Bastin, M. E., Baune, B. T. and 141 moreGuadalupe, T., Mathias, S. R., Van Erp, T. G. M., Whelan, C. D., Zwiers, M. P., Abe, Y., Abramovic, L., Agartz, I., Andreassen, O. A., Arias-Vásquez, A., Aribisala, B. S., Armstrong, N. J., Arolt, V., Artiges, E., Ayesa-Arriola, R., Baboyan, V. G., Banaschewski, T., Barker, G., Bastin, M. E., Baune, B. T., Blangero, J., Bokde, A. L., Boedhoe, P. S., Bose, A., Brem, S., Brodaty, H., Bromberg, U., Brooks, S., Büchel, C., Buitelaar, J., Calhoun, V. D., Cannon, D. M., Cattrell, A., Cheng, Y., Conrod, P. J., Conzelmann, A., Corvin, A., Crespo-Facorro, B., Crivello, F., Dannlowski, U., De Zubicaray, G. I., De Zwarte, S. M., Deary, I. J., Desrivières, S., Doan, N. T., Donohoe, G., Dørum, E. S., Ehrlich, S., Espeseth, T., Fernández, G., Flor, H., Fouche, J.-P., Frouin, V., Fukunaga, M., Gallinat, J., Garavan, H., Gill, M., Suarez, A. G., Gowland, P., Grabe, H. J., Grotegerd, D., Gruber, O., Hagenaars, S., Hashimoto, R., Hauser, T. U., Heinz, A., Hibar, D. P., Hoekstra, P. J., Hoogman, M., Howells, F. M., Hu, H., Hulshoff Pol, H. E.., Huyser, C., Ittermann, B., Jahanshad, N., Jönsson, E. G., Jurk, S., Kahn, R. S., Kelly, S., Kraemer, B., Kugel, H., Kwon, J. S., Lemaitre, H., Lesch, K.-P., Lochner, C., Luciano, M., Marquand, A. F., Martin, N. G., Martínez-Zalacaín, I., Martinot, J.-L., Mataix-Cols, D., Mather, K., McDonald, C., McMahon, K. L., Medland, S. E., Menchón, J. M., Morris, D. W., Mothersill, O., Maniega, S. M., Mwangi, B., Nakamae, T., Nakao, T., Narayanaswaamy, J. C., Nees, F., Nordvik, J. E., Onnink, A. M. H., Opel, N., Ophoff, R., Martinot, M.-L.-P., Orfanos, D. P., Pauli, P., Paus, T., Poustka, L., Reddy, J. Y., Renteria, M. E., Roiz-Santiáñez, R., Roos, A., Royle, N. A., Sachdev, P., Sánchez-Juan, P., Schmaal, L., Schumann, G., Shumskaya, E., Smolka, M. N., Soares, J. C., Soriano-Mas, C., Stein, D. J., Strike, L. T., Toro, R., Turner, J. A., Tzourio-Mazoyer, N., Uhlmann, A., Valdés Hernández, M., Van den Heuvel, O. A., Van der Meer, D., Van Haren, N. E.., Veltman, D. J., Venkatasubramanian, G., Vetter, N. C., Vuletic, D., Walitza, S., Walter, H., Walton, E., Wang, Z., Wardlaw, J., Wen, W., Westlye, L. T., Whelan, R., Wittfeld, K., Wolfers, T., Wright, M. J., Xu, J., Xu, X., Yun, J.-Y., Zhao, J., Franke, B., Thompson, P. M., Glahn, D. C., Mazoyer, B., Fisher, S. E., & Francks, C. (2017). Human subcortical asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging and Behavior, 11(5), 1497-1514. doi:10.1007/s11682-016-9629-z.

    Abstract

    The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.

    Additional information

    11682_2016_9629_MOESM1_ESM.pdf
  • Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Rentería, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., Desrivieres, S., Vernooij, M. W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S., Armstrong, N. J., Athanasiu, L. and 312 moreHibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Rentería, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., Desrivieres, S., Vernooij, M. W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S., Armstrong, N. J., Athanasiu, L., Axelsson, T., Beecham, A. H., Beiser, A., Bernard, M., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chen, Q., Ching, C. R. K., Chouraki, V., Cuellar-Partida, G., Crivello, F., den Brabander, A., Doan, N. T., Ehrlich, S., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Grimm, O., Griswold, M. E., Guadalupe, T., Gutman, B. A., Hass, J., Haukvik, U. K., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Jørgensen, K. N., Mirza-Schreiber, N., Kasperaviciute, D., Kim, S., Klein, M., Krämer, B., Lee, P. H., Liewald, D. C. M., Lopez, L. M., Luciano, M., Macare, C., Marquand, A. F., Matarin, M., Mather, K. A., Mattheisen, M., McKay, D. R., Milaneschi, Y., Maniega, S. M., Nho, K., Nugent, A. C., Nyquist, P., Olde Loohuis, L. M., Oosterlaan, J., Papmeyer, M., Pirpamer, L., Pütz, B., Ramasamy, A., Richards, J. S., Risacher, S., Roiz-Santiañez, R., Rommelse, N., Ropele, S., Rose, E., Royle, N. A., Rundek, T., Sämann, P. G., Saremi, A., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Trompet, S., Vaidya, D., Van der Grond, J., Van der Lee, S. J., Van der Meer, D., Van Donkelaar, M. M. J., Van Eijk, K. R., van Erp, T. G. M., Van Rooij, D., Walton, E., Westlye, L. T., Whelan, C. D., Windham, B. G., Winkler, A. M., Wittfeld, K. M., Woldehawariat, G., Wolf, C., Wolfers, T., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., Almasy, L., Ames, D., Amouyel, P., Andreassen, O. A., Arepalli, S., Assareh, A. A., Barral, S., Bastin, M. E., Becker, D. M., Becker, J. T., Bennett, D. A., Blangero, J., Van Bokhoven, H., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Bulayeva, K. B., Cahn, W., Calhoun, V. D., Cannon, D. M., Cavalleri, G. L., Cheng, C.-Y., Cichon, S., Cookson, M. R., Corvin, A., Crespo-Facorro, B., Curran, J. E., Czisch, M., Dale, A. M., Davies, G. E., De Craen, A. J. M., De Geus, E. J. C., De Jager, P. L., De Zubicaray, G. i., Deary, I. J., Debette, S., DeCarli, C., Delanty, N., Depondt, C., DeStefano, A., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Enzinger, C., Erk, S., Espeseth, T., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Fornage, M., Foroud, T. M., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Green, R. C., Gruber, O., Gudnason, V., Guelfi, S., Haberg, A. K., Hansell, N. K., Hardy, J., Hartman, C. A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D. G., Heslenfeld, D. J., Ho, B.-C., Hoekstra, P. J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J.-J., Huentelman, M., Pol, H. E. H., Ikeda, M., Jack Jr., C. R., Jenkinson, M., Johnson, R., Jonsson, E. G., Jukema, J. W., Kahn, R. S., Kanai, R., Kloszewska, I., Knopman, D. S., Kochunov, P., Kwok, J. B., Lawrie, S. M., Lemaître, H., Liu, X., Longo, D. L., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J.-L., Mattay, V. S., McDonald, C., Mcintosh, A. M., McMahon, F., McMahon, K. L., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G. W., Morris, D. W., Mosley, T. H., Mühleisen, T. W., Müller-Myhsok, B., Nalls, M. A., Nauck, M., Nichols, T. E., Niessen, W. J., Nöthen, M. M., Nyberg, L., Ohi, K., Olvera, R. L., Ophoff, R. A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B. W. J. H., Pike, G. B., Potkin, S. G., Psaty, B. M., Reppermund, S., Rietschel, M., Roffman, J. L., Romanczuk-Seiferth, N., Rotter, J. I., Ryten, M., Sacco, R. L., Sachdev, P. S., Saykin, A. J., Schmidt, R., Schmidt, H., Schofield, P. R., Sigursson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Toga, A. W., Traynor, B. J., Troncoso, J., Tsolaki, M., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van der Brug, M., Van der Lugt, A., Van der Wee, N. J. A., Van Haren, N. E. M., Van Tol, M.-J., Vardarajan, B. N., Vellas, B., Veltman, D. J., Völzke, H., Walter, H., Wardlaw, J. M., Wassink, T. H., Weale, M. e., Weinberger, D. R., Weiner, M., Wen, W., Westman, E., White, T., Wong, T. Y., Wright, C. B., Zielke, R. H., Zonderman, A. B., Martin, N. G., Van Duijn, C. M., Wright, M. J., Longstreth, W. W. T., Schumann, G., Grabe, H. J., Franke, B., Launer, L. J., Medland, S. E., Seshadri, S., Thompson, P. M., & Ikram, A. (2017). Novel genetic loci associated with hippocampal volume. Nature Communications, 8: 13624. doi:10.1038/ncomms13624.

    Abstract

    The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer’s disease (rg=−0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

    Additional information

    ncomms13624-s1.pdf ncomms13624-s2.xlsx
  • Kavaklioglu, T., Guadalupe, T., Zwiers, M., Marquand, A. F., Onnink, M., Shumskaya, E., Brunner, H., Fernandez, G., Fisher, S. E., & Francks, C. (2017). Structural asymmetries of the human cerebellum in relation to cerebral cortical asymmetries and handedness. Brain Structure and Function, 22, 1611-1623. doi:10.1007/s00429-016-1295-9.

    Abstract

    There is evidence that the human cerebellum is involved not only in motor control but also in other cognitive functions. Several studies have shown that language-related activation is lateralized toward the right cerebellar hemisphere in most people, in accordance with leftward cerebral cortical lateralization for language and a general contralaterality of cerebral–cerebellar activations. In terms of behavior, hand use elicits asymmetrical activation in the cerebellum, while hand preference is weakly associated with language lateralization. However, it is not known how, or whether, these functional relations are reflected in anatomy. We investigated volumetric gray matter asymmetries of cerebellar lobules in an MRI data set comprising 2226 subjects. We tested these cerebellar asymmetries for associations with handedness, and for correlations with cerebral cortical anatomical asymmetries of regions important for language or hand motor control, as defined by two different automated image analysis methods and brain atlases, and supplemented with extensive visual quality control. No significant associations of cerebellar asymmetries to handedness were found. Some significant associations of cerebellar lobular asymmetries to cerebral cortical asymmetries were found, but none of these correlations were greater than 0.14, and they were mostly method-/atlas-dependent. On the basis of this large and highly powered study, we conclude that there is no overt structural manifestation of cerebellar functional lateralization and connectivity, in respect of hand motor control or language laterality
  • De Kovel, C. G. F., Lisgo, S., Karlebach, G., Ju, J., Cheng, G., Fisher, S. E., & Francks, C. (2017). Left-right asymmetry of maturation rates in human embryonic neural development. Biological Psychiatry, 82(3), 204-212. doi:10.1016/j.biopsych.2017.01.016.

    Abstract

    Background

    Left-right asymmetry is a fundamental organizing feature of the human brain, and neuro-psychiatric disorders such as schizophrenia sometimes involve alterations of brain asymmetry. As early as 8 weeks post conception, the majority of human fetuses move their right arms more than their left arms, but because nerve fibre tracts are still descending from the forebrain at this stage, spinal-muscular asymmetries are likely to play an important developmental role.
    Methods

    We used RNA sequencing to measure gene expression levels in the left and right spinal cords, and left and right hindbrains, of 18 post-mortem human embryos aged 4-8 weeks post conception. Genes showing embryonic lateralization were tested for an enrichment of signals in genome-wide association data for schizophrenia.
    Results

    The left side of the embryonic spinal cord was found to mature faster than the right side. Both sides transitioned from transcriptional profiles associated with cell division and proliferation at earlier stages, to neuronal differentiation and function at later stages, but the two sides were not in synchrony (p = 2.2 E-161). The hindbrain showed a left-right mirrored pattern compared to the spinal cord, consistent with the well-known crossing over of function between these two structures. Genes that showed lateralization in the embryonic spinal cord were enriched for association signals with schizophrenia (p = 4.3 E-05).
    Conclusions
    These are the earliest-stage left-right differences of human neural development ever reported. Disruption of the lateralised developmental programme may play a role in the genetic susceptibility to schizophrenia.

    Additional information

    mmc1.pdf
  • Ocklenburg, S., Schmitz, J., Moinfar, Z., Moser, D., Klose, R., Lor, S., Kunz, G., Tegenthoff, M., Faustmann, P., Francks, C., Epplen, J. T., Kumsta, R., & Güntürkün, O. (2017). Epigenetic regulation of lateralized fetal spinal gene expression underlies hemispheric asymmetries. eLife, 6: e22784. doi:10.7554/eLife.22784.001.

    Abstract

    Lateralization is a fundamental principle of nervous system organization but its molecular determinants are mostly unknown. In humans, asymmetric gene expression in the fetal cortex has been suggested as the molecular basis of handedness. However, human fetuses already show considerable asymmetries in arm movements before the motor cortex is functionally linked to the spinal cord, making it more likely that spinal gene expression asymmetries form the molecular basis of handedness. We analyzed genome-wide mRNA expression and DNA methylation in cervical and anterior thoracal spinal cord segments of five human fetuses and show development-dependent gene expression asymmetries. These gene expression asymmetries were epigenetically regulated by miRNA expression asymmetries in the TGF-β signaling pathway and lateralized methylation of CpG islands. Our findings suggest that molecular mechanisms for epigenetic regulation within the spinal cord constitute the starting point for handedness, implying a fundamental shift in our understanding of the ontogenesis of hemispheric asymmetries in humans
  • Thompson, P. M., Andreassen, O. A., Arias-Vasquez, A., Bearden, C. E., Boedhoe, P. S., Brouwer, R. M., Buckner, R. L., Buitelaar, J. K., Bulaeva, K. B., Cannon, D. M., Cohen, R. A., Conrod, P. J., Dale, A. M., Deary, I. J., Dennis, E. L., De Reus, M. A., Desrivieres, S., Dima, D., Donohoe, G., Fisher, S. E. and 51 moreThompson, P. M., Andreassen, O. A., Arias-Vasquez, A., Bearden, C. E., Boedhoe, P. S., Brouwer, R. M., Buckner, R. L., Buitelaar, J. K., Bulaeva, K. B., Cannon, D. M., Cohen, R. A., Conrod, P. J., Dale, A. M., Deary, I. J., Dennis, E. L., De Reus, M. A., Desrivieres, S., Dima, D., Donohoe, G., Fisher, S. E., Fouche, J.-P., Francks, C., Frangou, S., Franke, B., Ganjgahi, H., Garavan, H., Glahn, D. C., Grabe, H. J., Guadalupe, T., Gutman, B. A., Hashimoto, R., Hibar, D. P., Holland, D., Hoogman, M., Pol, H. E. H., Hosten, N., Jahanshad, N., Kelly, S., Kochunov, P., Kremen, W. S., Lee, P. H., Mackey, S., Martin, N. G., Mazoyer, B., McDonald, C., Medland, S. E., Morey, R. A., Nichols, T. E., Paus, T., Pausova, Z., Schmaal, L., Schumann, G., Shen, L., Sisodiya, S. M., Smit, D. J., Smoller, J. W., Stein, D. J., Stein, J. L., Toro, R., Turner, J. A., Van den Heuvel, M., Van den Heuvel, O. A., Van Erp, T. G., Van Rooij, D., Veltman, D. J., Walter, H., Wang, Y., Wardlaw, J. M., Whelan, C. D., Wright, M. J., & Ye, J. (2017). ENIGMA and the Individual: Predicting Factors that Affect the Brain in 35 Countries Worldwide. NeuroImage, 145, 389-408. doi:10.1016/j.neuroimage.2015.11.057.
  • Fisher, S. E., & Francks, C. (2006). Genes, cognition and dyslexia: Learning to read the genome. Trends in Cognitive Sciences, 10, 250-257. doi:10.1016/j.tics.2006.04.003.

    Abstract

    Studies of dyslexia provide vital insights into the cognitive architecture underpinning both disordered and normal reading. It is well established that inherited factors contribute to dyslexia susceptibility, but only very recently has evidence emerged to implicate specific candidate genes. In this article, we provide an accessible overview of four prominent examples--DYX1C1, KIAA0319, DCDC2 and ROBO1--and discuss their relevance for cognition. In each case correlations have been found between genetic variation and reading impairments, but precise risk variants remain elusive. Although none of these genes is specific to reading-related neuronal circuits, or even to the human brain, they have intriguing roles in neuronal migration or connectivity. Dissection of cognitive mechanisms that subserve reading will ultimately depend on an integrated approach, uniting data from genetic investigations, behavioural studies and neuroimaging.
  • Ogdie, M. N., Bakker, S. C., Fisher, S. E., Francks, C., Yang, M. H., Cantor, R. M., Loo, S. K., Van der Meulen, E., Pearson, P., Buitelaar, J., Monaco, A., Nelson, S. F., Sinke, R. J., & Smalley, S. L. (2006). Pooled genome-wide linkage data on 424 ADHD ASPs suggests genetic heterogeneity and a common risk locus at 5p13 [Letter to the editor]. Molecular Psychiatry, 11, 5-8. doi:10.1038/sj.mp.4001760.
  • Paracchini, S., Thomas, A., Castro, S., Lai, C., Paramasivam, M., Wang, Y., Keating, B. J., Taylor, J. M., Hacking, D. F., Scerri, T., Francks, C., Richardson, A. J., Wade-Martins, R., Stein, J. F., Knight, J. C., Copp, A. J., LoTurco, J., & Monaco, A. P. (2006). The chromosome 6p22 haplotype associated with dyslexia reduces the expression of KIAA0319, a novel gene involved in neuronal migration. Human Molecular Genetics, 15(10), 1659-1666. doi:10.1093/hmg/ddl089.

    Abstract

    Dyslexia is one of the most prevalent childhood cognitive disorders, affecting approximately 5% of school-age children. We have recently identified a risk haplotype associated with dyslexia on chromosome 6p22.2 which spans the TTRAP gene and portions of THEM2 and KIAA0319. Here we show that in the presence of the risk haplotype, the expression of the KIAA0319 gene is reduced but the expression of the other two genes remains unaffected. Using in situ hybridization, we detect a very distinct expression pattern of the KIAA0319 gene in the developing cerebral neocortex of mouse and human fetuses. Moreover, interference with rat Kiaa0319 expression in utero leads to impaired neuronal migration in the developing cerebral neocortex. These data suggest a direct link between a specific genetic background and a biological mechanism leading to the development of dyslexia: the risk haplotype on chromosome 6p22.2 down-regulates the KIAA0319 gene which is required for neuronal migration during the formation of the cerebral neocortex.
  • Francks, C., Fisher, S. E., J.Marlow, A., J.Richardson, A., Stein, J. F., & Monaco, A. (2000). A sibling-pair based approach for mapping genetic loci that influence quantitative measures of reading disability. Prostaglandins, Leukotrienes and Essential Fatty Acids, 63(1-2), 27-31. doi:10.1054/plef.2000.0187.

    Abstract

    Family and twin studies consistently demonstrate a significant role for genetic factors in the aetiology of the reading disorder dyslexia. However, dyslexia is complex at both the genetic and phenotypic levels, and currently the nature of the core deficit or deficits remains uncertain. Traditional approaches for mapping disease genes, originally developed for single-gene disorders, have limited success when there is not a simple relationship between genotype and phenotype. Recent advances in high-throughput genotyping technology and quantitative statistical methods have made a new approach to identifying genes involved in complex disorders possible. The method involves assessing the genetic similarity of many sibling pairs along the lengths of all their chromosomes and attempting to correlate this similarity with that of their phenotypic scores. We are adopting this approach in an ongoing genome-wide search for genes involved in dyslexia susceptibility, and have already successfully applied the method by replicating results from previous studies suggesting that a quantitative trait locus at 6p21.3 influences reading disability.

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