Displaying 1 - 19 of 19
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Carrion Castillo, A., Van der Haegen, L., Tzourio-Mazoyer, N., Kavaklioglu, T., Badillo, S., Chavent, M., Saracco, J., Brysbaert, M., Fisher, S. E., Mazoyer, B., & Francks, C. (2019). Genome sequencing for rightward hemispheric language dominance. Genes, Brain and Behavior, 18(5): e12572. doi:10.1111/gbb.12572.
Abstract
Most people have left‐hemisphere dominance for various aspects of language processing, but only roughly 1% of the adult population has atypically reversed, rightward hemispheric language dominance (RHLD). The genetic‐developmental program that underlies leftward language laterality is unknown, as are the causes of atypical variation. We performed an exploratory whole‐genome‐sequencing study, with the hypothesis that strongly penetrant, rare genetic mutations might sometimes be involved in RHLD. This was by analogy with situs inversus of the visceral organs (left‐right mirror reversal of the heart, lungs and so on), which is sometimes due to monogenic mutations. The genomes of 33 subjects with RHLD were sequenced and analyzed with reference to large population‐genetic data sets, as well as 34 subjects (14 left‐handed) with typical language laterality. The sample was powered to detect rare, highly penetrant, monogenic effects if they would be present in at least 10 of the 33 RHLD cases and no controls, but no individual genes had mutations in more than five RHLD cases while being un‐mutated in controls. A hypothesis derived from invertebrate mechanisms of left‐right axis formation led to the detection of an increased mutation load, in RHLD subjects, within genes involved with the actin cytoskeleton. The latter finding offers a first, tentative insight into molecular genetic influences on hemispheric language dominance.Additional information
gbb12572-sup-0001-AppendixS1.docx -
Eising, E., Carrion Castillo, A., Vino, A., Strand, E. A., Jakielski, K. J., Scerri, T. S., Hildebrand, M. S., Webster, R., Ma, A., Mazoyer, B., Francks, C., Bahlo, M., Scheffer, I. E., Morgan, A. T., Shriberg, L. D., & Fisher, S. E. (2019). A set of regulatory genes co-expressed in embryonic human brain is implicated in disrupted speech development. Molecular Psychiatry, 24, 1065-1078. doi:10.1038/s41380-018-0020-x.
Abstract
Genetic investigations of people with impaired development of spoken language provide windows into key aspects of human biology. Over 15 years after FOXP2 was identified, most speech and language impairments remain unexplained at the molecular level. We sequenced whole genomes of nineteen unrelated individuals diagnosed with childhood apraxia of speech, a rare disorder enriched for causative mutations of large effect. Where DNA was available from unaffected parents, we discovered de novo mutations, implicating genes, including CHD3, SETD1A and WDR5. In other probands, we identified novel loss-of-function variants affecting KAT6A, SETBP1, ZFHX4, TNRC6B and MKL2, regulatory genes with links to neurodevelopment. Several of the new candidates interact with each other or with known speech-related genes. Moreover, they show significant clustering within a single co-expression module of genes highly expressed during early human brain development. This study highlights gene regulatory pathways in the developing brain that may contribute to acquisition of proficient speech.Additional information
Eising_etal_2018sup.pdf -
Francks, C. (2019). In search of the biological roots of typical and atypical human brain asymmetry. Physics of Life Reviews, 30, 22-24. doi:10.1016/j.plrev.2019.07.004.
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Francks, C. (2019). The genetic bases of brain lateralization. In P. Hagoort (
Ed. ), Human language: From genes and brain to behavior (pp. 595-608). Cambridge, MA: MIT Press. -
Gialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K. U., Czamara, D., St Pourcain, B., Brandler, W., Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Morris, A. P., Hulslander, J., Willcutt, E. G., DeFries, J. C., Olson, R. K., Smith, S. D. and 25 moreGialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K. U., Czamara, D., St Pourcain, B., Brandler, W., Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Morris, A. P., Hulslander, J., Willcutt, E. G., DeFries, J. C., Olson, R. K., Smith, S. D., Pennington, B. F., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P. H. T., Brandeis, D., Bonte, M., Stein, J. F., Talcott, J. B., Fauchereau, F., Wilcke, A., Francks, C., Bourgeron, T., Monaco, A. P., Ramus, F., Landerl, K., Kere, J., Scerri, T. S., Paracchini, S., Fisher, S. E., Schumacher, J., Nöthen, M. M., Müller-Myhsok, B., & Schulte-Körne, G. (2019). Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia. Translational Psychiatry, 9(1): 77. doi:10.1038/s41398-019-0402-0.
Abstract
Developmental dyslexia (DD) is one of the most prevalent learning disorders, with high impact on school and psychosocial development and high comorbidity with conditions like attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. DD is characterized by deficits in different cognitive skills, including word reading, spelling, rapid naming, and phonology. To investigate the genetic basis of DD, we conducted a genome-wide association study (GWAS) of these skills within one of the largest studies available, including nine cohorts of reading-impaired and typically developing children of European ancestry (N = 2562–3468). We observed a genome-wide significant effect (p < 1 × 10−8) on rapid automatized naming of letters (RANlet) for variants on 18q12.2, within MIR924HG (micro-RNA 924 host gene; rs17663182 p = 4.73 × 10−9), and a suggestive association on 8q12.3 within NKAIN3 (encoding a cation transporter; rs16928927, p = 2.25 × 10−8). rs17663182 (18q12.2) also showed genome-wide significant multivariate associations with RAN measures (p = 1.15 × 10−8) and with all the cognitive traits tested (p = 3.07 × 10−8), suggesting (relational) pleiotropic effects of this variant. A polygenic risk score (PRS) analysis revealed significant genetic overlaps of some of the DD-related traits with educational attainment (EDUyears) and ADHD. Reading and spelling abilities were positively associated with EDUyears (p ~ [10−5–10−7]) and negatively associated with ADHD PRS (p ~ [10−8−10−17]). This corroborates a long-standing hypothesis on the partly shared genetic etiology of DD and ADHD, at the genome-wide level. Our findings suggest new candidate DD susceptibility genes and provide new insights into the genetics of dyslexia and its comorbities.Additional information
https://www.nature.com/articles/s41398-019-0402-0#Sec17 -
De Kovel, C. G. F., Carrion Castillo, A., & Francks, C. (2019). A large-scale population study of early life factors influencing left-handedness. Scientific Reports, 9: 584. doi:10.1038/s41598-018-37423-8.
Abstract
Hand preference is a conspicuous variation in human behaviour, with a worldwide proportion of around 90% of people preferring to use the right hand for many tasks, and 10% the left hand. We used the large cohort of the UK biobank (~500,000 participants) to study possible relations between early life factors and adult hand preference. The probability of being left-handed was affected by the year and location of birth, likely due to cultural effects. In addition, hand preference was affected by birthweight, being part of a multiple birth, season of birth, breastfeeding, and sex, with each effect remaining significant after accounting for all others. Analysis of genome-wide genotype data showed that left-handedness was very weakly heritable, but shared no genetic basis with birthweight. Although on average left-handers and right-handers differed for a number of early life factors, all together these factors had only a minimal predictive value for individual hand preference.Additional information
Supplementary information -
De Kovel, C. G. F., Aftanas, L., Aleman, A., Alexander-Bloch, A. F., Baune, B. T., Brack, I., Bülow, R., Filho, G. B., Carballedo, A., Connolly, C. G., Cullen, K. R., Dannlowski, U., Davey, C. G., Dima, D., Dohm, K., Erwin-Grabner, T., Frodl, T., Fu, C. H., Hall, G. B., Glahn, D. C. and 58 moreDe Kovel, C. G. F., Aftanas, L., Aleman, A., Alexander-Bloch, A. F., Baune, B. T., Brack, I., Bülow, R., Filho, G. B., Carballedo, A., Connolly, C. G., Cullen, K. R., Dannlowski, U., Davey, C. G., Dima, D., Dohm, K., Erwin-Grabner, T., Frodl, T., Fu, C. H., Hall, G. B., Glahn, D. C., Godlewska, B., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Gruber, O., Harris, M. A., Harrison, B. J., Hatton, S. N., Hickie, I. B., Ho, T. C., Jahanshad, N., Kircher, T., Krämer, B., Krug, A., Lagopoulos, J., Leehr, E. J., Li, M., MacMaster, F. P., MacQueen, G., McIntosh, A. M., McLellan, Q., Medland, S. E., Mueller, B. A., Nenadic, I., Osipov, E., Papmeyer, M., Portella, M. J., Reneman, L., Rosa, P. G., Sacchet, M. D., Schnell, K., Schrantee, A., Sim, K., Simulionyte, E., Sindermann, L., Singh, A., Stein, D. J., Ubani, B. N., der Wee, N. J. V., der Werff, S. J. V., Veer, I. M., Vives-Gilabert, Y., Völzke, H., Walter, H., Walter, M., Schreiner, M. W., Whalley, H., Winter, N., Wittfeld, K., Yang, T. T., Yüksel, D., Zaremba, D., Thompson, P. M., Veltman, D. J., Schmaal, L., & Francks, C. (2019). No alterations of brain structural asymmetry in major depressive disorder: An ENIGMA consortium analysis. American Journal of Psychiatry, 176(12), 1039-1049. doi:10.1176/appi.ajp.2019.18101144.
Abstract
Objective:
Asymmetry is a subtle but pervasive aspect of the human brain, and it may be altered in several psychiatric conditions. MRI studies have shown subtle differences of brain anatomy between people with major depressive disorder and healthy control subjects, but few studies have specifically examined brain anatomical asymmetry in relation to this disorder, and results from those studies have remained inconclusive. At the functional level, some electroencephalography studies have indicated left fronto-cortical hypoactivity and right parietal hypoactivity in depressive disorders, so aspects of lateralized anatomy may also be affected. The authors used pooled individual-level data from data sets collected around the world to investigate differences in laterality in measures of cortical thickness, cortical surface area, and subcortical volume between individuals with major depression and healthy control subjects.
Methods:
The authors investigated differences in the laterality of thickness and surface area measures of 34 cerebral cortical regions in 2,256 individuals with major depression and 3,504 control subjects from 31 separate data sets, and they investigated volume asymmetries of eight subcortical structures in 2,540 individuals with major depression and 4,230 control subjects from 32 data sets. T1-weighted MRI data were processed with a single protocol using FreeSurfer and the Desikan-Killiany atlas. The large sample size provided 80% power to detect effects of the order of Cohen’s d=0.1.
Results:
The largest effect size (Cohen’s d) of major depression diagnosis was 0.085 for the thickness asymmetry of the superior temporal cortex, which was not significant after adjustment for multiple testing. Asymmetry measures were not significantly associated with medication use, acute compared with remitted status, first episode compared with recurrent status, or age at onset.
Conclusions:
Altered brain macro-anatomical asymmetry may be of little relevance to major depression etiology in most cases. -
De Kovel, C. G. F., & Francks, C. (2019). The molecular genetics of hand preference revisited. Scientific Reports, 9: 5986. doi:10.1038/s41598-019-42515-0.
Abstract
Hand preference is a prominent behavioural trait linked to human brain asymmetry. A handful of genetic variants have been reported to associate with hand preference or quantitative measures related to it. Most of these reports were on the basis of limited sample sizes, by current standards for genetic analysis of complex traits. Here we performed a genome-wide association analysis of hand preference in the large, population-based UK Biobank cohort (N = 331,037). We used gene-set enrichment analysis to investigate whether genes involved in visceral asymmetry are particularly relevant to hand preference, following one previous report. We found no evidence supporting any of the previously suggested variants or genes, nor that genes involved in visceral laterality have a role in hand preference. It remains possible that some of the previously reported genes or pathways are relevant to hand preference as assessed in other ways, or else are relevant within specific disorder populations. However, some or all of the earlier findings are likely to be false positives, and none of them appear relevant to hand preference as defined categorically in the general population. Our analysis did produce a small number of novel, significant associations, including one implicating the microtubule-associated gene MAP2 in handedness. -
Postema, M., Van Rooij, D., Anagnostou, E., Arango, C., Auzias, G., Behrmann, M., Busatto Filho, G., Calderoni, S., Calvo, R., Daly, E., Deruelle, C., Di Martino, A., Dinstein, I., Duran, F. L. S., Durston, S., Ecker, C., Ehrlich, S., Fair, D., Fedor, J., Feng, X. and 38 morePostema, M., Van Rooij, D., Anagnostou, E., Arango, C., Auzias, G., Behrmann, M., Busatto Filho, G., Calderoni, S., Calvo, R., Daly, E., Deruelle, C., Di Martino, A., Dinstein, I., Duran, F. L. S., Durston, S., Ecker, C., Ehrlich, S., Fair, D., Fedor, J., Feng, X., Fitzgerald, J., Floris, D. L., Freitag, C. M., Gallagher, L., Glahn, D. C., Gori, I., Haar, S., Hoekstra, L., Jahanshad, N., Jalbrzikowski, M., Janssen, J., King, J. A., Kong, X., Lazaro, L., Lerch, J. P., Luna, B., Martinho, M. M., McGrath, J., Medland, S. E., Muratori, F., Murphy, C. M., Murphy, D. G. M., O'Hearn, K., Oranje, B., Parellada, M., Puig, O., Retico, A., Rosa, P., Rubia, K., Shook, D., Taylor, M., Tosetti, M., Wallace, G. L., Zhou, F., Thompson, P., Fisher, S. E., Buitelaar, J. K., & Francks, C. (2019). Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets. Nature Communications, 10: 4958. doi:10.1038/s41467-019-13005-8.
Additional information
Supplementary Information -
Satizabal, C. L., Adams, H. H. H., Hibar, D. P., White, C. C., Knol, M. J., Stein, J. L., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G. V., Smith, A. V., Bis, J. C., Jian, X., Luciano, M., Hofer, E., Teumer, A., Van der Lee, S. J., Yang, J., Yanek, L. R., Lee, T. V. and 271 moreSatizabal, C. L., Adams, H. H. H., Hibar, D. P., White, C. C., Knol, M. J., Stein, J. L., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G. V., Smith, A. V., Bis, J. C., Jian, X., Luciano, M., Hofer, E., Teumer, A., Van der Lee, S. J., Yang, J., Yanek, L. R., Lee, T. V., Li, S., Hu, Y., Koh, J. Y., Eicher, J. D., Desrivières, S., Arias-Vasquez, A., Chauhan, G., Athanasiu, L., Renteria, M. E., Kim, S., Höhn, D., Armstrong, N. J., Chen, Q., Holmes, A. J., Den Braber, A., Kloszewska, I., Andersson, M., Espeseth, T., Grimm, O., Abramovic, L., Alhusaini, S., Milaneschi, Y., Papmeyer, M., Axelsson, T., Ehrlich, S., Roiz-Santiañez, R., Kraemer, B., Håberg, A. K., Jones, H. J., Pike, G. B., Stein, D. J., Stevens, A., Bralten, J., Vernooij, M. W., Harris, T. B., Filippi, I., Witte, A. V., Guadalupe, T., Wittfeld, K., Mosley, T. H., Becker, J. T., Doan, N. T., Hagenaars, S. P., Saba, Y., Cuellar-Partida, G., Amin, N., Hilal, S., Nho, K., Karbalai, N., Arfanakis, K., Becker, D. M., Ames, D., Goldman, A. L., Lee, P. H., Boomsma, D. I., Lovestone, S., Giddaluru, S., Le Hellard, S., Mattheisen, M., Bohlken, M. M., Kasperaviciute, D., Schmaal, L., Lawrie, S. M., Agartz, I., Walton, E., Tordesillas-Gutierrez, D., Davies, G. E., Shin, J., Ipser, J. C., Vinke, L. N., Hoogman, M., Jia, T., Burkhardt, R., Klein, M., Crivello, F., Janowitz, D., Carmichael, O., Haukvik, U. K., Aribisala, B. S., Schmidt, H., Strike, L. T., Cheng, C.-Y., Risacher, S. L., Pütz, B., Fleischman, D. A., Assareh, A. A., Mattay, V. S., Buckner, R. L., Mecocci, P., Dale, A. M., Cichon, S., Boks, M. P., Matarin, M., Penninx, B. W. J. H., Calhoun, V. D., Chakravarty, M. M., Marquand, A., Macare, C., Masouleh, S. K., Oosterlaan, J., Amouyel, P., Hegenscheid, K., Rotter, J. I., Schork, A. J., Liewald, D. C. M., De Zubicaray, G. I., Wong, T. Y., Shen, L., Sämann, P. G., Brodaty, H., Roffman, J. L., De Geus, E. J. C., Tsolaki, M., Erk, S., Van Eijk, K. R., Cavalleri, G. L., Van der Wee, N. J. A., McIntosh, A. M., Gollub, R. L., Bulayeva, K. B., Bernard, M., Richards, J. S., Himali, J. J., Loeffler, M., Rommelse, N., Hoffmann, W., Westlye, L. T., Valdés Hernández, M. C., Hansell, N. K., Van Erp, T. G. M., Wolf, C., Kwok, J. B. J., Vellas, B., Heinz, A., Olde Loohuis, L. M., Delanty, N., Ho, B.-C., Ching, C. R. K., Shumskaya, E., Singh, B., Hofman, A., Van der Meer, D., Homuth, G., Psaty, B. M., Bastin, M., Montgomery, G. W., Foroud, T. M., Reppermund, S., Hottenga, J.-J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., Whelan, C. D., Van Donkelaar, M. M. J., Yang, Q., Hosten, N., Green, R. C., Thalamuthu, A., Mohnke, S., Hulshoff Pol, H. E., Lin, H., Jack Jr., C. R., Schofield, P. R., Mühleisen, T. W., Maillard, P., Potkin, S. G., Wen, W., Fletcher, E., Toga, A. W., Gruber, O., Huentelman, M., Smith, G. D., Launer, L. J., Nyberg, L., Jönsson, E. G., Crespo-Facorro, B., Koen, N., Greve, D., Uitterlinden, A. G., Weinberger, D. R., Steen, V. M., Fedko, I. O., Groenewold, N. A., Niessen, W. J., Toro, R., Tzourio, C., Longstreth Jr., W. T., Ikram, M. K., Smoller, J. W., Van Tol, M.-J., Sussmann, J. E., Paus, T., Lemaître, H., Schroeter, M. L., Mazoyer, B., Andreassen, O. A., Holsboer, F., Depondt, C., Veltman, D. J., Turner, J. A., Pausova, Z., Schumann, G., Van Rooij, D., Djurovic, S., Deary, I. J., McMahon, K. L., Müller-Myhsok, B., Brouwer, R. M., Soininen, H., Pandolfo, M., Wassink, T. H., Cheung, J. W., Wolfers, T., Martinot, J.-L., Zwiers, M. P., Nauck, M., Melle, I., Martin, N. G., Kanai, R., Westman, E., Kahn, R. S., Sisodiya, S. M., White, T., Saremi, A., Van Bokhoven, H., Brunner, H. G., Völzke, H., Wright, M. J., Van 't Ent, D., Nöthen, M. M., Ophoff, R. A., Buitelaar, J. K., Fernández, G., Sachdev, P. S., Rietschel, M., Van Haren, N. E. M., Fisher, S. E., Beiser, A. S., Francks, C., Saykin, A. J., Mather, K. A., Romanczuk-Seiferth, N., Hartman, C. A., DeStefano, A. L., Heslenfeld, D. J., Weiner, M. W., Walter, H., Hoekstra, P. J., Nyquist, P. A., Franke, B., Bennett, D. A., Grabe, H. J., Johnson, A. D., Chen, C., Van Duijn, C. M., Lopez, O. L., Fornage, M., Wardlaw, J. A., Schmidt, R., DeCarli, C., De Jager, P. L., Villringer, A., Debette, S., Gudnason, V., Medland, S. E., Shulman, J. M., Thompson, P. M., Seshadri, S., & Ikram, M. A. (2019). Genetic architecture of subcortical brain structures in 38,854 individuals worldwide. Nature Genetics, 51, 1624-1636. doi:10.1038/s41588-019-0511-y.
Abstract
Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease. -
Truong, D. T., Adams, A. K., Paniagua, S., Frijters, J. C., Boada, R., Hill, D. E., Lovett, M. W., Mahone, E. M., Willcutt, E. G., Wolf, M., Defries, J. C., Gialluisi, A., Francks, C., Fisher, S. E., Olson, R. K., Pennington, B. F., Smith, S. D., Bosson-Heenan, J., & Gruen, J. R. (2019). Multivariate genome-wide association study of rapid automatised naming and rapid alternating stimulus in Hispanic American and African–American youth. Journal of Medical Genetics, 56(8), 557-566. doi:10.1136/jmedgenet-2018-105874.
Abstract
Background Rapid automatised naming (RAN) and rapid alternating stimulus (RAS) are reliable predictors of reading disability. The underlying biology of reading disability is poorly understood. However, the high correlation among RAN, RAS and reading could be attributable to shared genetic factors that contribute to common biological mechanisms.
Objective To identify shared genetic factors that contribute to RAN and RAS performance using a multivariate approach.
Methods We conducted a multivariate genome-wide association analysis of RAN Objects, RAN Letters and RAS Letters/Numbers in a sample of 1331 Hispanic American and African–American youth. Follow-up neuroimaging genetic analysis of cortical regions associated with reading ability in an independent sample and epigenetic examination of extant data predicting tissue-specific functionality in the brain were also conducted.
Results Genome-wide significant effects were observed at rs1555839 (p=4.03×10−8) and replicated in an independent sample of 318 children of European ancestry. Epigenetic analysis and chromatin state models of the implicated 70 kb region of 10q23.31 support active transcription of the gene RNLS in the brain, which encodes a catecholamine metabolising protein. Chromatin contact maps of adult hippocampal tissue indicate a potential enhancer–promoter interaction regulating RNLS expression. Neuroimaging genetic analysis in an independent, multiethnic sample (n=690) showed that rs1555839 is associated with structural variation in the right inferior parietal lobule.
Conclusion This study provides support for a novel trait locus at chromosome 10q23.31 and proposes a potential gene–brain–behaviour relationship for targeted future functional analysis to understand underlying biological mechanisms for reading disability.Additional information
Supplementary data -
Brucato, N., Guadalupe, T., Franke, B., Fisher, S. E., & Francks, C. (2015). A schizophrenia-associated HLA locus affects thalamus volume and asymmetry. Brain, Behavior, and Immunity, 46, 311-318. doi:10.1016/j.bbi.2015.02.021.
Abstract
Genes of the Major Histocompatibility Complex (MHC) have recently been shown to have neuronal functions in the thalamus and hippocampus. Common genetic variants in the Human Leukocyte Antigens (HLA) region, human homologue of the MHC locus, are associated with small effects on susceptibility to schizophrenia, while volumetric changes of the thalamus and hippocampus have also been linked to schizophrenia. We therefore investigated whether common variants of the HLA would affect volumetric variation of the thalamus and hippocampus. We analyzed thalamus and hippocampus volumes, as measured using structural magnetic resonance imaging, in 1.265 healthy participants. These participants had also been genotyped using genome-wide single nucleotide polymorphism (SNP) arrays. We imputed genotypes for single nucleotide polymorphisms at high density across the HLA locus, as well as HLA allotypes and HLA amino acids, by use of a reference population dataset that was specifically targeted to the HLA region. We detected a significant association of the SNP rs17194174 with thalamus volume (nominal P=0.0000017, corrected P=0.0039), as well as additional SNPs within the same region of linkage disequilibrium. This effect was largely lateralized to the left thalamus and is localized within a genomic region previously associated with schizophrenia. The associated SNPs are also clustered within a potential regulatory element, and a region of linkage disequilibrium that spans genes expressed in the thalamus, including HLA-A. Our data indicate that genetic variation within the HLA region influences the volume and asymmetry of the human thalamus. The molecular mechanisms underlying this association may relate to HLA influences on susceptibility to schizophreniaAdditional information
http://www.sciencedirect.com/science/article/pii/S088915911500063X#m0005 -
Ceroni, F., Simpson, N. H., Francks, C., Baird, G., Conti-Ramsden, G., Clark, A., Bolton, P. F., Hennessy, E. R., Donnelly, P., Bentley, D. R., Martin, H., IMGSAC, SLI Consortium, WGS500 Consortium, Parr, J., Pagnamenta, A. T., Maestrini, E., Bacchelli, E., Fisher, S. E., & Newbury, D. F. (2015). Reply to Pembrey et al: ‘ZNF277 microdeletions, specific language impairment and the meiotic mismatch methylation (3M) hypothesis’. European Journal of Human Genetics, 23, 1113-1115. doi:10.1038/ejhg.2014.275.
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Francks, C. (2015). Exploring human brain lateralization with molecular genetics and genomics. Annals of the New York Academy of Sciences, 1359, 1-13. doi:10.1111/nyas.12770.
Abstract
Lateralizations of brain structure and motor behavior have been observed in humans as early as the first trimester of gestation, and are likely to arise from asymmetrical genetic–developmental programs, as in other animals. Studies of gene expression levels in postmortem tissue samples, comparing the left and right sides of the human cerebral cortex, have generally not revealed striking transcriptional differences between the hemispheres. This is likely due to lateralization of gene expression being subtle and quantitative. However, a recent re-analysis and meta-analysis of gene expression data from the adult superior temporal and auditory cortex found lateralization of transcription of genes involved in synaptic transmission and neuronal electrophysiology. Meanwhile, human subcortical mid- and hindbrain structures have not been well studied in relation to lateralization of gene activity, despite being potentially important developmental origins of asymmetry. Genetic polymorphisms with small effects on adult brain and behavioral asymmetries are beginning to be identified through studies of large datasets, but the core genetic mechanisms of lateralized human brain development remain unknown. Identifying subtly lateralized genetic networks in the brain will lead to a new understanding of how neuronal circuits on the left and right are differently fine-tuned to preferentially support particular cognitive and behavioral functions. -
Guadalupe, T., Zwiers, M. P., Wittfeld, K., Teumer, A., Vasquez, A. A., Hoogman, M., Hagoort, P., Fernandez, G., Buitelaar, J., van Bokhoven, H., Hegenscheid, K., Völzke, H., Franke, B., Fisher, S. E., Grabe, H. J., & Francks, C. (2015). Asymmetry within and around the human planum temporale is sexually dimorphic and influenced by genes involved in steroid hormone receptor activity. Cortex, 62, 41-55. doi:10.1016/j.cortex.2014.07.015.
Abstract
The genetic determinants of cerebral asymmetries are unknown. Sex differences in asymmetry of the planum temporale, that overlaps Wernicke’s classical language area, have been inconsistently reported. Meta-analysis of previous studies has suggested that publication bias established this sex difference in the literature. Using probabilistic definitions of cortical regions we screened over the cerebral cortex for sexual dimorphisms of asymmetry in 2337 healthy subjects, and found the planum temporale to show the strongest sex-linked asymmetry of all regions, which was supported by two further datasets, and also by analysis with the Freesurfer package that performs automated parcellation of cerebral cortical regions. We performed a genome-wide association scan meta-analysis of planum temporale asymmetry in a pooled sample of 3095 subjects, followed by a candidate-driven approach which measured a significant enrichment of association in genes of the ´steroid hormone receptor activity´ and 'steroid metabolic process' pathways. Variants in the genes and pathways identified may affect the role of the planum temporale in language cognition.Additional information
http://www.sciencedirect.com/science/article/pii/S0010945214002469#appd001 -
Hibar, D. P., Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., Jahanshad, N., Toro, R., Wittfeld, K., Abramovic, L., Andersson, M., Aribisala, B. S., Armstrong, N. J., Bernard, M., Bohlken, M. M., Boks, M. P., Bralten, J., Brown, A. A., Chakravarty, M. M., Chen, Q., Ching, C. R. K. and 267 moreHibar, D. P., Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., Jahanshad, N., Toro, R., Wittfeld, K., Abramovic, L., Andersson, M., Aribisala, B. S., Armstrong, N. J., Bernard, M., Bohlken, M. M., Boks, M. P., Bralten, J., Brown, A. A., Chakravarty, M. M., Chen, Q., Ching, C. R. K., Cuellar-Partida, G., den Braber, A., Giddaluru, S., Goldman, A. L., Grimm, O., Guadalupe, T., Hass, J., Woldehawariat, G., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Olde Loohuis, L. M., Luciano, M., Macare, C., Mather, K. A., Mattheisen, M., Milaneschi, Y., Nho, K., Papmeyer, M., Ramasamy, A., Risacher, S. L., Roiz-Santiañez, R., Rose, E. J., Salami, A., Sämann, P. G., Schmaal, L., Schork, A. J., Shin, J., Strike, L. T., Teumer, A., Van Donkelaar, M. M. J., Van Eijk, K. R., Walters, R. K., Westlye, L. T., Whelan, C. D., Winkler, A. M., Zwiers, M. P., Alhusaini, S., Athanasiu, L., Ehrlich, S., Hakobjan, M. M. H., Hartberg, C. B., Haukvik, U. K., Heister, A. J. G. A. M., Hoehn, D., Kasperaviciute, D., Liewald, D. C. M., Lopez, L. M., Makkinje, R. R. R., Matarin, M., Naber, M. A. M., McKay, D. R., Needham, M., Nugent, A. C., Pütz, B., Royle, N. A., Shen, L., Sprooten, E., Trabzuni, D., Van der Marel, S. S. L., Van Hulzen, K. J. E., Walton, E., Wolf, C., Almasy, L., Ames, D., Arepalli, S., Assareh, A. A., Bastin, M. E., Brodaty, H., Bulayeva, K. B., Carless, M. A., Cichon, S., Corvin, A., Curran, J. E., Czisch, M., De Zubicaray, G. I., Dillman, A., Duggirala, R., Dyer, T. D., Erk, S., Fedko, I. O., Ferrucci, L., Foroud, T. M., Fox, P. T., Fukunaga, M., Gibbs, J. R., Göring, H. H. H., Green, R. C., Guelfi, S., Hansell, N. K., Hartman, C. A., Hegenscheid, K., Heinz, A., Hernandez, D. G., Heslenfeld, D. J., Hoekstra, P. J., Holsboer, F., Homuth, G., Hottenga, J.-J., Ikeda, M., Jack, C. R., Jenkinson, M., Johnson, R., Kanai, R., Keil, M., Kent, J. W., Kochunov, P., Kwok, J. B., Lawrie, S. M., Liu, X., Longo, D. L., McMahon, K. L., Meisenzahl, E., Melle, I., Mohnke, S., Montgomery, G. W., Mostert, J. C., Mühleisen, T. W., Nalls, M. A., Nichols, T. E., Nilsson, L. G., Nöthen, M. M., Ohi, K., Olvera, R. L., Perez-Iglesias, R., Pike, G. B., Potkin, S. G., Reinvang, I., Reppermund, S., Rietschel, M., Romanczuk-Seiferth, N., Rosen, G. D., Rujescu, D., Schnell, K., Schofield, P. R., Smith, C., Steen, V. M., Sussmann, J. E., Thalamuthu, A., Toga, A. W., Traynor, B. J., Troncoso, J., Turner, J. A., Valdes Hernández, M. C., van Ent, D. ’., Van der Brug, M., Van der Wee, N. J. A., Van Tol, M.-J., Veltman, D. J., Wassink, T. H., Westman, E., Zielke, R. H., Zonderman, A. B., Ashbrook, D. G., Hager, R., Lu, L., McMahon, F. J., Morris, D. W., Williams, R. W., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Cahn, W., Calhoun, V. D., Cavalleri, G. L., Crespo-Facorro, B., Dale, A. M., Davies, G. E., Delanty, N., Depondt, C., Djurovic, S., Drevets, W. C., Espeseth, T., Gollub, R. L., Ho, B.-C., Hoffmann, W., Hosten, N., Kahn, R. S., Le Hellard, S., Meyer-Lindenberg, A., Müller-Myhsok, B., Nauck, M., Nyberg, L., Pandolfo, M., Penninx, B. W. J. H., Roffman, J. L., Sisodiya, S. M., Smoller, J. W., Van Bokhoven, H., Van Haren, N. E. M., Völzke, H., Walter, H., Weiner, M. W., Wen, W., White, T., Agartz, I., Andreassen, O. A., Blangero, J., Boomsma, D. I., Brouwer, R. M., Cannon, D. M., Cookson, M. R., De Geus, E. J. C., Deary, I. J., Donohoe, G., Fernández, G., Fisher, S. E., Francks, C., Glahn, D. C., Grabe, H. J., Gruber, O., Hardy, J., Hashimoto, R., Hulshoff Pol, H. E., Jönsson, E. G., Kloszewska, I., Lovestone, S., Mattay, V. S., Mecocci, P., McDonald, C., McIntosh, A. M., Ophoff, R. A., Paus, T., Pausova, Z., Ryten, M., Sachdev, P. S., Saykin, A. J., Simmons, A., Singleton, A., Soininen, H., Wardlaw, J. M., Weale, M. E., Weinberger, D. R., Adams, H. H. H., Launer, L. J., Seiler, S., Schmidt, R., Chauhan, G., Satizabal, C. L., Becker, J. T., Yanek, L., van der Lee, S. J., Ebling, M., Fischl, B., Longstreth, W. T., Greve, D., Schmidt, H., Nyquist, P., Vinke, L. N., Van Duijn, C. M., Xue, L., Mazoyer, B., Bis, J. C., Gudnason, V., Seshadri, S., Ikram, M. A., The Alzheimer’s Disease Neuroimaging Initiative, The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Martin, N. G., Wright, M. J., Schumann, G., Franke, B., Thompson, P. M., & Medland, S. E. (2015). Common genetic variants influence human subcortical brain structures. Nature, 520, 224-229. doi:10.1038/nature14101.
Abstract
The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10-33; 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunctionAdditional information
http://www.nature.com/nature/journal/v520/n7546/full/nature14101.html#supplemen…Files private
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Karlebach, G., & Francks, C. (2015). Lateralization of gene expression in human language cortex. Cortex, 67, 30-36. doi:10.1016/j.cortex.2015.03.003.
Abstract
Lateralization is an important aspect of the functional brain architecture for language and other cognitive faculties. The molecular genetic basis of human brain lateralization is unknown, and recent studies have suggested that gene expression in the cerebral cortex is bilaterally symmetrical. Here we have re-analyzed two transcriptomic datasets derived from post mortem human cerebral cortex, with a specific focus on superior temporal and auditory language cortex in adults. We applied an empirical Bayes approach to model differential left-right expression, together with gene ontology analysis and meta-analysis. There was robust and reproducible lateralization of individual genes and gene ontology groups that are likely to fine-tune the electrophysiological and neurotransmission properties of cortical circuits, most notably synaptic transmission, nervous system development and glutamate receptor activity. Our findings anchor the cerebral biology of language to the molecular genetic level. Future research in model systems may determine how these molecular signatures of neurophysiological lateralization effect fine-tuning of cerebral cortical function, differently in the two hemispheres.Additional information
http://www.sciencedirect.com/science/article/pii/S0010945215000817?np=y#appd001 -
Villanueva, P., Nudel, R., Hoischen, A., Fernández, M. A., Simpson, N. H., Gilissen, C., Reader, R. H., Jara, L., Echeverry, M., Francks, C., Baird, G., Conti-Ramsden, G., O’Hare, A., Bolton, P., Hennessy, E. R., the SLI Consortium, Palomino, H., Carvajal-Carmona Veltman J.A., L., Veltman, J. A., Cazier, J.-B. and 3 moreVillanueva, P., Nudel, R., Hoischen, A., Fernández, M. A., Simpson, N. H., Gilissen, C., Reader, R. H., Jara, L., Echeverry, M., Francks, C., Baird, G., Conti-Ramsden, G., O’Hare, A., Bolton, P., Hennessy, E. R., the SLI Consortium, Palomino, H., Carvajal-Carmona Veltman J.A., L., Veltman, J. A., Cazier, J.-B., De Barbieri, Z., Fisher, S. E., & Newbury, D. (2015). Exome sequencing in an admixed isolated population indicates NFXL1 variants confer a risk for Specific Language Impairment. PLoS Genetics, 11(3): e1004925. doi:10.1371/journal.pgen.1004925.
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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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