Displaying 1 - 17 of 17
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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 -
Francks, C., DeLisi, L. E., Fisher, S. E., Laval, S. H., Rue, J. E., Stein, J. F., & Monaco, A. P. (2003). Confirmatory evidence for linkage of relative hand skill to 2p12-q11 [Letter to the editor]. American Journal of Human Genetics, 72(2), 499-502. doi:10.1086/367548.
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Francks, C., Fisher, S. E., Marlow, A. J., MacPhie, I. L., Taylor, K. E., Richardson, A. J., Stein, J. F., & Monaco, A. P. (2003). Familial and genetic effects on motor coordination, laterality, and reading-related cognition. American Journal of Psychiatry, 160(11), 1970-1977. doi:10.1176/appi.ajp.160.11.1970.
Abstract
OBJECTIVE: Recent research has provided evidence for a genetically mediated association between language or reading-related cognitive deficits and impaired motor coordination. Other studies have identified relationships between lateralization of hand skill and cognitive abilities. With a large sample, the authors aimed to investigate genetic relationships between measures of reading-related cognition, hand motor skill, and hand skill lateralization.
METHOD: The authors applied univariate and bivariate correlation and familiality analyses to a range of measures. They also performed genomewide linkage analysis of hand motor skill in a subgroup of 195 sibling pairs.
RESULTS: Hand motor skill was significantly familial (maximum heritability=41%), as were reading-related measures. Hand motor skill was weakly but significantly correlated with reading-related measures, such as nonword reading and irregular word reading. However, these correlations were not significantly familial in nature, and the authors did not observe linkage of hand motor skill to any chromosomal regions implicated in susceptibility to dyslexia. Lateralization of hand skill was not correlated with reading or cognitive ability.
CONCLUSIONS: The authors confirmed a relationship between lower motor ability and poor reading performance. However, the genetic effects on motor skill and reading ability appeared to be largely or wholly distinct, suggesting that the correlation between these traits may have arisen from environmental influences. Finally, the authors found no evidence that reading disability and/or low general cognitive ability were associated with ambidexterity.Additional information
https://doi.org/10.1176/appi.ajp.161.1.185 -
Francks, C., DeLisi, L. E., Shaw, S. H., Fisher, S. E., Richardson, A. J., Stein, J. F., & Monaco, A. P. (2003). Parent-of-origin effects on handedness and schizophrenia susceptibility on chromosome 2p12-q11. Human Molecular Genetics, 12(24), 3225-3230. doi:10.1093/hmg/ddg362.
Abstract
Schizophrenia and non-right-handedness are moderately associated, and both traits are often accompanied by abnormalities of asymmetrical brain morphology or function. We have found linkage previously of chromosome 2p12-q11 to a quantitative measure of handedness, and we have also found linkage of schizophrenia/schizoaffective disorder to this same chromosomal region in a separate study. Now, we have found that in one of our samples (191 reading-disabled sibling pairs), the relative hand skill of siblings was correlated more strongly with paternal than maternal relative hand skill. This led us to re-analyse 2p12-q11 under parent-of-origin linkage models. We found linkage of relative hand skill in the RD siblings to 2p12-q11 with P=0.0000037 for paternal identity-by-descent sharing, whereas the maternally inherited locus was not linked to the trait (P>0.2). Similarly, in affected-sib-pair analysis of our schizophrenia dataset (241 sibling pairs), we found linkage to schizophrenia for paternal sharing with LOD=4.72, P=0.0000016, within 3 cM of the peak linkage to relative hand skill. Maternal linkage across the region was weak or non-significant. These similar paternal-specific linkages suggest that the causative genetic effects on 2p12-q11 are related. The linkages may be due to a single maternally imprinted influence on lateralized brain development that contains common functional polymorphisms. -
Marlow, A. J., Fisher, S. E., Francks, C., MacPhie, I. L., Cherny, S. S., Richardson, A. J., Talcott, J. B., Stein, J. F., Monaco, A. P., & Cardon, L. R. (2003). Use of multivariate linkage analysis for dissection of a complex cognitive trait. American Journal of Human Genetics, 72(3), 561-570. doi:10.1086/368201.
Abstract
Replication of linkage results for complex traits has been exceedingly difficult, owing in part to the inability to measure the precise underlying phenotype, small sample sizes, genetic heterogeneity, and statistical methods employed in analysis. Often, in any particular study, multiple correlated traits have been collected, yet these have been analyzed independently or, at most, in bivariate analyses. Theoretical arguments suggest that full multivariate analysis of all available traits should offer more power to detect linkage; however, this has not yet been evaluated on a genomewide scale. Here, we conduct multivariate genomewide analyses of quantitative-trait loci that influence reading- and language-related measures in families affected with developmental dyslexia. The results of these analyses are substantially clearer than those of previous univariate analyses of the same data set, helping to resolve a number of key issues. These outcomes highlight the relevance of multivariate analysis for complex disorders for dissection of linkage results in correlated traits. The approach employed here may aid positional cloning of susceptibility genes in a wide spectrum of complex traits. -
Ogdie, M. N., MacPhie, I. L., Minassian, S. L., Yang, M., Fisher, S. E., Francks, C., Cantor, R. M., McCracken, J. T., McGough, J. J., Nelson, S. F., Monaco, A. P., & Smalley, S. L. (2003). A genomewide scan for Attention-Deficit/Hyperactivity Disorder in an extended sample: Suggestive linkage on 17p11. American Journal of Human Genetics, 72(5), 1268-1279. doi:10.1086/375139.
Abstract
Attention-deficit/hyperactivity disorder (ADHD [MIM 143465]) is a common, highly heritable neurobehavioral disorder of childhood onset, characterized by hyperactivity, impulsivity, and/or inattention. As part of an ongoing study of the genetic etiology of ADHD, we have performed a genomewide linkage scan in 204 nuclear families comprising 853 individuals and 270 affected sibling pairs (ASPs). Previously, we reported genomewide linkage analysis of a “first wave” of these families composed of 126 ASPs. A follow-up investigation of one region on 16p yielded significant linkage in an extended sample. The current study extends the original sample of 126 ASPs to 270 ASPs and provides linkage analyses of the entire sample, using polymorphic microsatellite markers that define an ∼10-cM map across the genome. Maximum LOD score (MLS) analysis identified suggestive linkage for 17p11 (MLS=2.98) and four nominal regions with MLS values >1.0, including 5p13, 6q14, 11q25, and 20q13. These data, taken together with the fine mapping on 16p13, suggest two regions as highly likely to harbor risk genes for ADHD: 16p13 and 17p11. Interestingly, both regions, as well as 5p13, have been highlighted in genomewide scans for autism. -
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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