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3. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume

Author

Haworth, S., Shapland, C.Y., Hayward, C., Prins, B.P., Felix, J.F., Medina-Gomez, C., Rivadeneira, F., Wang, C., Ahluwalia, T.S., Vrijheid, M., Guxens, M., Sunyer, J., Tachmazidou, I., Walter, K., Iotchkova, V., Jackson, A., Cleal, L., Huffmann, J., Min, J.L., Sass, L., Timmers, P.R.H.J., Turki, S.A., Anderson, C.A., Anney, R., Antony, D., Artigas, M.S., Ayub, M., Bala, S., Barrett, J.C., Barroso, I., Beales, P., Bentham, J., Bhattacharya, S., Birney, E., Blackwood, D., Bobrow, M., Bochukova, E., Bolton, P.F., Bounds, R., Boustred, C., Breen, G., Calissano, M., Carss, K., Charlton, R., Chatterjee, K., Chen, L., Ciampi, A., Cirak, S., Clapham, P., Clement, G., Coates, G., Cocca, M., Collier, D.A., Cosgrove, C., Cox, T., Craddock, N., Crooks, Lucy, Curran, S., Curtis, D., Daly, A., Danecek, P., Day, I.N.M., Day-Williams, A., Dominiczak, A., Down, T., Du, Y., Dunham, I., Durbin, R., Edkins, S., Ekong, R., Ellis, P., Evans, D.M., Farooqi, I.S., Fitzpatrick, D.R., Flicek, P., Floyd, J., Foley, A.R., Franklin, C.S., Futema, M., Gallagher, L., Gaunt, T.R., Geihs, M., Geschwind, D., Greenwood, C.M.T., Griffin, H., Grozeva, D., Guo, X., Gurling, H., Hart, D., Hendricks, A.E., Holmans, P., Howie, B., Huang, J., Huang, L., Hubbard, T., Humphries, S.E., Hurles, M.E., Hysi, P., and Jackson, D.K.

Abstract

© 2019, The Author(s). Cranial growth and development is a complex process which affects the closely related traits of head circumference (HC) and intracranial volume (ICV). The underlying genetic influences shaping these traits during the transition from childhood to adulthood are little understood, but might include both age-specific genetic factors and low-frequency genetic variation. Here, we model the developmental genetic architecture of HC, showing this is genetically stable and correlated with genetic determinants of ICV. Investigating up to 46,000 children and adults of European descent, we identify association with final HC and/or final ICV + HC at 9 novel common and low-frequency loci, illustrating that genetic variation from a wide allele frequency spectrum contributes to cranial growth. The largest effects are reported for low-frequency variants within TP53, with 0.5 cm wider heads in increaser-allele carriers versus non-carriers during mid-childhood, suggesting a previously unrecognized role of TP53 transcripts in human cranial development.

Published
2019

4. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity

Author

Hendricks, A.E. Bochukova, E.G. Marenne, G. Keogh, J.M. Atanassova, N. Bounds, R. Wheeler, E. Mistry, V. Henning, E. Körner, A. Muddyman, D. McCarthy, S. Hinney, A. Hebebrand, J. Scott, R.A. Langenberg, C. Wareham, N.J. Surendran, P. Howson, J.M. Butterworth, A.S. Danesh, J. Nordestgaard, Bø.G. Nielsen, S.F. Afzal, S. Papadia, S. Ashford, S. Garg, S. Millhauser, G.L. Palomino, R.I. Kwasniewska, A. Tachmazidou, I. O'Rahilly, S. Zeggini, E. Barroso, I. Farooqi, I.S. Benzeval, M. Burton, J. Buck, N. Jäckle, A. Kumari, M. Laurie, H. Lynn, P. Pudney, S. Rabe, B. Wolke, D. Overvad, K. Tjønneland, A. Clavel-Chapelon, F. Kaaks, R. Boeing, H. Trichopoulou, A. Ferrari, P. Palli, D. Krogha, V. Panico, S. Tuminoa, R. Matullo, G. Boer, J. Van Der Schouw, Y. Weiderpass, E. Quiros, J.R. Sánchez, M.-J. Navarro, C. Moreno-Iribas, C. Arriola, L. Melander, O. Wennberg, P. Key, T.J. Riboli, E. Turki, S.A. Anderson, C.A. Anney, R. Antony, D. Soler Artigas, M. Ayub, M. Bala, S. Barrett, J.C. Beales, P. Bentham, J. Bhattacharyaa, S. Birney, E. Blackwooda, D. Bobrow, M. Bolton, P.F. Boustred, C. Breen, G. Calissanoa, M. Carss, K. Charlton, R. Chatterjee, K. Chen, L. Ciampia, A. Cirak, S. Clapham, P. Clement, G. Coates, G. Coccaa, M. Collier, D.A. Cosgrove, C. Coxa, T. Craddock, N. Crooks, L. Curran, S. Curtis, D. Daly, A. Danecek, P. Day, I.N.M. Day-Williams, A. Dominiczak, A. Down, T. Du, Y. Dunham, I. Durbin, R. Edkins, S. Ekong, R. Ellis, P. Evansa, D.M. Fitzpatrick, D.R. Flicek, P. Floyd, J. Foley, A.R. Franklin, C.S. Futema, M. Gallagher, L. Gaunt, T.R. Geihs, M. Geschwind, D. Greenwood, C.M.T. Griffin, H. Grozeva, D. Guo, X. Guo, X. Gurling, H. Hart, D. Holmans, P. Howie, B. Huang, J. Huang, L. Hubbard, T. Humphries, S.E. Hurles, M.E. Hysi, P. Iotchkova, V. Jackson, D.K. Jamshidi, Y. Joyce, C. Karczewski, K.J. Kaye, J. Keane, T. Kemp, J.P. Kennedy, K. Kent, A. Khawaja, F. Van Kogelenberg, M. Kolb-Kokocinski, A. Lachance, G. Langford, C. Lawson, D. Lee, I. Lek, M. Li, R. Li, Y. Liang, J. Lin, H. Liu, R. Lönnqvist, J. Lopes, L.R. Lopes, M. MacArthur, D.G. Mangino, M. Marchini, J. Maslen, J. Mathieson, I. McGuffin, P. McIntosh, A.M. McKechanie, A.G. McQuillin, A. Memari, Y. Metrustry, S. Migone, N. Min, J.L. Mitchison, H.M. Moayyeri, A. Morris, A. Morris, J. Muntoni, F. Northstone, K. O'Donovan, M.C. Onoufriadis, A. Oualkacha, K. Owen, M.J. Palotie, A. Panoutsopoulou, K. Parker, V. Parr, J.R. Paternoster, L. Paunio, T. Payne, F. Payne, S.J. Perry, J.R.B. Pietilainen, O. Plagnol, V. Pollitt, R.C. Porteous, D.J. Povey, S. Quail, M.A. Quaye, L. Raymond, F.L. Rehnström, K. Richards, J.B. Ridout, C.K. Ring, S. Ritchie, G.R.S. Roberts, N. Robinson, R.L. Savage, D.B. Scambler, P. Schiffels, S. Schmidts, M. Schoenmakers, N. Scott, R.H. Semple, R.K. Serra, E. Sharp, S.I. Shaw, A. Shihab, H.A. Shin, S.-Y. Skuse, D. Small, K.S. Smee, C. Smith, B.H. Davey Smith, G. Soranzo, N. Southam, L. Spasic-Boskovic, O. Spector, T.D. St Clair, D. St Pourcain, B. Stalker, J. Stevens, E. Sun, J. Surdulescu, G. Suvisaari, J. Syrris, P. Taylor, R. Tian, J. Timpson, N.J. Tobin, M.D. Valdes, A.M. Vandersteen, A.M. Vijayarangakannan, P. Visscher, P.M. Wain, L.V. Walter, K. Walters, J.T.R. Wang, G. Wang, J. Wang, Y. Ward, K. Whyte, T. Williams, H.J. Williamson, K.A. Wilson, C. Wilson, S.G. Wong, K. Xu, C. Yang, J. Zhang, F. Zhang, P. Zheng, H.-F.

Abstract

Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as described previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF∼0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10-3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies. © 2017 The Author(s).

Published
2017

5. The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism

Author

Hadley, D., Wu, Z.L., Kao, C., Kini, A., Mohamed-Hadley, A., Thomas, K., Vazquez, L., Qiu, H., Mentch, F., Pellegrino, R., Kim, C., Connolly, J., Glessner, J., Hakonarson, H., Pinto, D., Merikangas, A., Klei, L., Vorstman, J.A., Thompson, A., Regan, R., Pagnamenta, A.T., Oliveira, B., Magalhaes, T.R., Gilbert, J., Duketis, E., De Jonge, M.V., Cuccaro, M., Correia, C.T., Conroy, J., Conceição, I.C., Chiocchetti, A.G., Casey, J.P., Bolshakova, N., Bacchelli, E., Anney, R., Zwaigenbaum, L., Wittemeyer, K., Wallace, S., Engeland, Hv, Soorya, L., Rogé, B., Roberts, W., Poustka, F., Mouga, S., Minshew, N., McGrew, S.G., Lord, C., Leboyer, M., Le Couteur, A.S., Kolevzon, A., Jacob, S., Guter, S., Green, J., Green, A., Gillberg, C., Fernandez, B.A., Duque, F., Delorme, R., Dawson, G., Café, C., Brennan, S., Bourgeron, T., Bolton, P.F., Bölte, S., Bernier, R., Baird, G., Bailey, A.J., Anagnostou, E., Almeida, J., Wijsman, E.M., Vieland, V.J., Vicente, A.M., Schellenberg, G.D., Pericak-Vance, M., Paterson, A.D., Parr, J.R., Oliveira, G., Correia, C., Nurnberger, J.I., Monaco, A.P., Maestrini, E., Klauck, S.M., Haines, J.L., Geschwind, D.H., Freitag, C.M., Folstein, S.E., Ennis, S., Coon, H., Battaglia, A., Szatmari, P., Sutcliffe, J.S., Hallmayer, J., Gill, M., Cook, E.H., Buxbaum, J.D., Devlin, B., Gallagher, L., Betancur, C., and Scherer, S.W.

Subjects
Autism, Perturbações do Desenvolvimento Infantil e Saúde Mental
Abstract

Although multiple reports show that defective genetic networks underlie the aetiology of autism, few have translated into pharmacotherapeutic opportunities. Since drugs compete with endogenous small molecules for protein binding, many successful drugs target large gene families with multiple drug binding sites. Here we search for defective gene family interaction networks (GFINs) in 6,742 patients with the ASDs relative to 12,544 neurologically normal controls, to find potentially druggable genetic targets. We find significant enrichment of structural defects (P≤2.40E-09, 1.8-fold enrichment) in the metabotropic glutamate receptor (GRM) GFIN, previously observed to impact attention deficit hyperactivity disorder (ADHD) and schizophrenia. Also, the MXD-MYC-MAX network of genes, previously implicated in cancer, is significantly enriched (P≤3.83E-23, 2.5-fold enrichment), as is the calmodulin 1 (CALM1) gene interaction network (P≤4.16E-04, 14.4-fold enrichment), which regulates voltage-independent calcium-activated action potentials at the neuronal synapse. We find that multiple defective gene family interactions underlie autism, presenting new translational opportunities to explore for therapeutic interventions.

Published
2014

6. Convergence of genes and cellular pathways dysregulated in autism spectrum disorders

Author

Pinto, D., Delaby, E., Merico, D., Barbosa, M., Merikangas, A., Klei, L, Thiruvahindrapuram, B., Xu, X., Ziman, R., Wang, Z., Vorstman, J.A., Thompson, A., Regan, R., Pilorge, M., Pellecchia, G., Pagnamenta, A.T., Oliveira, B., Marshall, C.R., Magalhães, T.R., Lowe, J.K., Howe, J.L., Griswold, A.J., Gilbert, J., Duketis, E., Dombroski, B.A., De Jonge, M.V., Cuccaro, M., Crawford, E.L., Correia, C.T., Conroy, J., Conceição, I.C, Chiocchetti, A.G., Casey, J.P., Cai, G., Cabrol, C., Bolshakova, N., Bacchelli, E., Anney, R., Gallinger, S., Cotterchio, M., Casey, G., Zwaigenbaum, L., Wittemeyer, K., Wing, K., Wallace, S., van Engeland, H., Tryfon, A., Thomson, S., Soorya, L., Rogé, B., Roberts, W., Poustka, F., Mouga, S., Minshew, N., McInnes, L.A., McGrew, S.G., Lord, C., Leboyer, M., Le Couteur, A.S., Kolevzon, A., Jiménez González, P., Jacob, S., Holt, R., Guter, S., Green, J., Green, A., Gillberg, C., Fernandez, B.A., Duque, F., Delorme, R., Dawson, G., Chaste, P., Café, C., Brennan, S., Bourgeron, T., Bolton, P.F., Bölte, S., Bernier, R., Baird, G., Bailey, A.J., Anagnostou, E., Almeida, J., Wijsman, E.M., Vieland, V.J., Vicente, A.M., Schellenberg, G.D., Pericak-Vance, M., Paterson, A.D., Parr, J.R., Oliveira, G., Nurnberger, J.I., Monaco, A.P., Maestrini, E., Klauck, S.M., Hakonarson, H., Haines, J.L., Geschwind, D.H., Freitag, C.M., Folstein, S.E., Ennis, S., Coon, H., Battaglia, A., Szatmari, P., Sutcliffe, J.S., Hallmayer, J., Gill, M., Cook, E.H., Buxbaum, J.D., Devlin, B., Gallagher, L., and Betancur, C.

Subjects
Autism Spectrum Disorders, Rare copy-number variation, Autism, mental disorders, Perturbações do Desenvolvimento Infantil e Saúde Mental
Abstract

Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.

Published
2014

7. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder

Author

Casey, J.P. Magalhaes, T. Conroy, J.M. Regan, R. Shah, N. Anney, R. Shields, D.C. Abrahams, B.S. Almeida, J. Bacchelli, E. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bolton, P.F. Bourgeron, T. Brennan, S. Cali, P. Correia, C. Corsello, C. Coutanche, M. Dawson, G. De Jonge, M. Delorme, R. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Foley, S. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Green, J. Guter, S.J. Hakonarson, H. Holt, R. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Lamb, J.A. Leboyer, M. Couteur, A.L. Leventhal, B.L. Lord, C. Lund, S.C. Maestrini, E. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Merikangas, A. Miller, J. Minopoli, F. Mirza, G.K. Munson, J. Nelson, S.F. Nygren, G. Oliveira, G. Pagnamenta, A.T. Papanikolaou, K. Parr, J.R. Parrini, B. Pickles, A. Pinto, D. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Ragoussis, J. Roge, B. Rutter, M.L. Sequeira, A.F. Soorya, L. Sousa, I. Sykes, N. Stoppioni, V. Tancredi, R. Tauber, M. Thompson, A.P. Thomson, S. Tsiantis, J. Van Engeland, H. Vincent, J.B. Volkmar, F. Vorstman, J.A.S. Wallace, S. Wang, K. Wassink, T.H. White, K. Wing, K. Wittemeyer, K. Yaspan, B.L. Zwaigenbaum, L. Betancur, C. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Geschwind, D.H. Haines, J.L. Hallmayer, J. Monaco, A.P. Nurnberger Jr., J.I. Pericak-Vance, M.A. Schellenberg, G.D. Scherer, S.W. Sutcliffe, J.S. Szatmari, P. Vieland, V.J. Wijsman, E.M. Green, A. Gill, M. Gallagher, L. Vicente, A. Ennis, S.

Subjects
mental disorders
Abstract

Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data. © The Author(s) 2011.

Published
2012

8. Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders

Author

Anney, R.J., Kenny, E.M., O'Dushlaine, C., Parkhomenka, E., Buxbaum, J.D., Sutcliffe, J., Gill, M., Gallagher, L., Bailey, A.J., Fernandez, B.A., Szatmari, P., Nurnberger Jr, J.I., McDougle, C.J., Posey, D.J., Lord, C., Corsello, C., Hus, V., Kolevzon, A., Soorya, L., Parkhomenko, E., Scherer, S.W., Leventhal, B.L., Dawson, G., Vieland, V.J., Hakonarson, H., Glessner, J.T., Kim, C., Wang, K., Schellenberg, G.D., Devlin, B., Klei, L., Patterson, A., Minshew, N., Sutcliffe, J.S., Haines, J.L., Lund, S.C., Thomson, S., Yaspan, B.L., Coon, H., Miller, J., McMahon, W.M., Munson, J., Marshall, C.R., Estes, A., Wijsman, EM., The Autism Genome Project, Pinto, D., Vincent, J.B., Fombonne, E., Betancur, C., Delorme, R., Leboyer, M., Bourgeron, T., Mantoulan, C., Roge, B., Tauber, M., Freitag, C.M., Poustka, F., Duketis, E., Klauck, S.M., Poustka, A., Papanikolaou, K., Tsiantis, J., Anney, R., Bolshakova, N., Brennan, S., Hughes, G., McGrath, J., Merikangas, A., Ennis, S., Green, A., Casey, J.P., Conroy, J.M., Regan, R., Shah, N., Maestrini, E., Bacchelli, E., Minopoli, F., Stoppioni, V., Battaglia, A., Igliozzi, R., Parrini, B., Tancredi, R., Oliveira, G., Almeida, J., Duque, F., Vicente, A.M., Correia, C., Magalhaes, T.R., Gillberg, C., Nygren, G., Jonge, M.D., Van Engeland, H., Vorstman, J.A., Wittemeyer, K., Baird, G., Bolton, P.F, Rutter, M.L., Green, J., Lamb, J.A., Pickles, A., Parr, J.R., Couteur, A.L., Berney, T., McConachie, H., Wallace, S., Coutanche, M., Foley, S., White, K., Monaco, A.P., Holt, R., Farrar, P., Pagnamenta, A.T., Mirza, G.K., Ragoussis, J., Sousa, I., Sykes, N., Wing, K., Hallmayer, J., Cantor, R.M., Nelson, S.F., Geschwind, D.H., Abrahams, B.S., Volkmar, F., Pericak-Vance, M.A., Cuccaro, M.L., Gilbert, J., Cook, E.H., Guter, S.J., and Jacob, S.

Subjects
Pathway analysis, Autism, Perturbações do Desenvolvimento Infantil e Saúde Mental, Gene ontology, Genome-wide association analysis, Family-based association test
Abstract

Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings.

Published
2011

9. Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders

Author

Anney, R.J.L. Kenny, E.M. O'Dushlaine, C. Yaspan, B.L. Parkhomenka, E. Buxbaum, J.D. Sutcliffe, J. Gill, M. Gallagher, L. Bailey, A.J. Fernandez, B.A. Szatmari, P. Scherer, S.W. Patterson, A. Marshall, C.R. Pinto, D. Vincent, J.B. Fombonne, E. Betancur, C. Delorme, R. Leboyer, M. Bourgeron, T. Mantoulan, C. Roge, B. Tauber, M. Freitag, C.M. Poustka, F. Duketis, E. Klauck, S.M. Poustka, A. Papanikolaou, K. Tsiantis, J. Bolshakova, N. Brennan, S. Hughes, G. McGrath, J. Merikangas, A. Ennis, S. Green, A. Casey, J.P. Conroy, J.M. Regan, R. Shah, N. Maestrini, E. Bacchelli, E. Minopoli, F. Stoppioni, V. Battaglia, A. Igliozzi, R. Parrini, B. Tancredi, R. Oliveira, G. Almeida, J. Duque, F. Vicente, A. Correia, C. Magalhaes, T.R. Gillberg, C. Nygren, G. De Jonge, M. Van Engeland, H. Vorstman, J.A.S. Wittemeyer, K. Baird, G. Bolton, P.F. Rutter, M.L. Green, J. Lamb, J.A. Pickles, A. Parr, J.R. Le Couteur, A. Berney, T. McConachie, H. Wallace, S. Coutanche, M. Foley, S. White, K. Monaco, A.P. Holt, R. Farrar, P. Pagnamenta, A.T. Mirza, G.K. Ragoussis, J. Sousa, I. Sykes, N. Wing, K. Hallmayer, J. Cantor, R.M. Nelson, S.F. Geschwind, D.H. Abrahams, B.S. Volkmar, F. Pericak-Vance, M.A. Cuccaro, M.L. Gilbert, J. Cook, E.H. Guter, S.J. Jacob, S. Nurnberger, J.I., Jr. McDougle, C.J. Posey, D.J. Lord, C. Corsello, C. Hus, V. Kolevzon, A. Soorya, L. Parkhomenko, E. Leventhal, B.L. Dawson, G. Vieland, V.J. Hakonarson, H. Glessner, J.T. Kim, C. Wang, K. Schellenberg, G.D. Devlin, B. Klei, L. Minshew, N. Sutcliffe, J.S. Haines, J.L. Lund, S.C. Thomson, S. Coon, H. Miller, J. McMahon, W.M. Munson, J. Estes, A. Wijsman, E.M. Autism Genome Project

Abstract

Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings. © 2011 Macmillan Publishers Limited All rights reserved.

Published
2011

10. Functional impact of global rare copy number variation in autism spectrum disorders

Author

Pinto, D. Pagnamenta, A.T. Klei, L. Anney, R. Merico, D. Regan, R. Conroy, J. Magalhaes, T.R. Correia, C. Abrahams, B.S. Almeida, J. Bacchelli, E. Bader, G.D. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bölte, S. Bolton, P.F. Bourgeron, T. Brennan, S. Brian, J. Bryson, S.E. Carson, A.R. Casallo, G. Casey, J. Chung, B.H.Y. Cochrane, L. Corsello, C. Crawford, E.L. Crossett, A. Cytrynbaum, C. Dawson, G. De Jonge, M. Delorme, R. Drmic, I. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Goldberg, J. Green, A. Green, J. Guter, S.J. Hakonarson, H. Heron, E.A. Hill, M. Holt, R. Howe, J.L. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Korvatska, O. Kustanovich, V. Lajonchere, C.M. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventhal, B.L. Lionel, A.C. Liu, X.-Q. Lord, C. Lotspeich, L. Lund, S.C. Maestrini, E. Mahoney, W. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Merikangas, A. Migita, O. Minshew, N.J. Mirza, G.K. Munson, J. Nelson, S.F. Noakes, C. Noor, A. Nygren, G. Oliveira, G. Papanikolaou, K. Parr, J.R. Parrini, B. Paton, T. Pickles, A. Pilorge, M. Piven, J. Ponting, C.P. Posey, D.J. Poustka, A. Poustka, F. Prasad, A. Ragoussis, J. Renshaw, K. Rickaby, J. Roberts, W. Roeder, K. Roge, B. Rutter, M.L. Bierut, L.J. Rice, J.P. Salt, J. Sansom, K. Sato, D. Segurado, R. Sequeira, A.F. Senman, L. Shah, N. Sheffield, V.C. Soorya, L. Sousa, I. Stein, O. Sykes, N. Stoppioni, V. Strawbridge, C. Tancredi, R. Tansey, K. Thiruvahindrapduram, B. Thompson, A.P. Thomson, S. Tryfon, A. Tsiantis, J. Van Engeland, H. Vincent, J.B. Volkmar, F. Wallace, S. Wang, K. Wang, Z. Wassink, T.H. Webber, C. Weksberg, R. Wing, K. Wittemeyer, K. Wood, S. Wu, J. Yaspan, B.L. Zurawiecki, D. Zwaigenbaum, L. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Devlin, B. Ennis, S. Gallagher, L. Geschwind, D.H. Gill, M. Haines, J.L. Hallmayer, J. Miller, J. Monaco, A.P. Nurnberger Jr, J.I. Paterson, A.D. Pericak-Vance, M.A. Schellenberg, G.D. Szatmari, P. Vicente, A.M. Vieland, V.J. Wijsman, E.M. Scherer, S.W. Sutcliffe, J.S. Betancur, C.

Subjects
mental disorders
Abstract

The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours 1. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability2. Although ASDs are known to be highly heritable ( ∼90%)3, the underlying genetic determinants are still largely unknown.Hereweanalysed the genome-wide characteristics of rare (

Published
2010

11. A genome-wide scan for common alleles affecting risk for autism

Author

Anney, R. Klei, L. Pinto, D. Regan, R. Conroy, J. Magalhaes, T.R. Correia, C. Abrahams, B.S. Sykes, N. Pagnamenta, A.T. Almeida, J. Bacchelli, E. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Bolshakova, N. Bölte, S. Bolton, P.F. Bourgeron, T. Brennan, S. Brian, J. Carson, A.R. Casallo, G. Casey, J. Chu, S.H. Cochrane, L. Corsello, C. Crawford, E.L. Crossett, A. Dawson, G. de Jonge, M. Delorme, R. Drmic, I. Duketis, E. Duque, F. Estes, A. Farrar, P. Fernandez, B.A. Folstein, S.E. Fombonne, E. Freitag, C.M. Gilbert, J. Gillberg, C. Glessner, J.T. Goldberg, J. Green, J. Guter, S.J. Hakonarson, H. Heron, E.A. Hill, M. Holt, R. Howe, J.L. Hughes, G. Hus, V. Igliozzi, R. Kim, C. Klauck, S.M. Kolevzon, A. Korvatska, O. Kustanovich, V. Lajonchere, C.M. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventhal, B.L. Lionel, A.C. Liu, X.-Q. Lord, C. Lotspeich, L. Lund, S.C. Maestrini, E. Mahoney, W. Mantoulan, C. Marshall, C.R. McConachie, H. McDougle, C.J. McGrath, J. McMahon, W.M. Melhem, N.M. Merikangas, A. Migita, O. Minshew, N.J. Mirza, G.K. Munson, J. Nelson, S.F. Noakes, C. Noor, A. Nygren, G. Oliveira, G. Papanikolaou, K. Parr, J.R. Parrini, B. Paton, T. Pickles, A. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Prasad, A. Ragoussis, J. Renshaw, K. Rickaby, J. Roberts, W. Roeder, K. Roge, B. Rutter, M.L. Bierut, L.J. Rice, J.P. Salt, J. Sansom, K. Sato, D. Segurado, R. Senman, L. Shah, N. Sheffield, V.C. Soorya, L. Sousa, I. Stoppioni, V. Strawbridge, C. Tancredi, R. Tansey, K. Thiruvahindrapduram, B. Thompson, A.P. Thomson, S. Tryfon, A. Tsiantis, J. van Engeland, H. Vincent, J.B. Volkmar, F. Wallace, S. Wang, K. Wang, Z. Wassink, T.H. Wing, K. Wittemeyer, K. Wood, S. Yaspan, B.L. Zurawiecki, D. Zwaigenbaum, L. Betancur, C. Buxbaum, J.D. Cantor, R.M. Cook, E.H. Coon, H. Cuccaro, M.L. Gallagher, L. Geschwind, D.H. Gill, M. Haines, J.L. Miller, J. Monaco, A.P. Nurnberger Jr., J.I. Paterson, A.D. Pericak-Vance, M.A. Schellenberg, G.D. Scherer, S.W. Sutcliffe, J.S. Szatmari, P. Vicente, A.M. Vieland, V.J. Wijsman, E.M. Devlin, B. Ennis, S. Hallmayer, J.

Abstract

Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 3 10-28. When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10-28 threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C. © The Author 2010. Published by Oxford University Press. All rights reserved.

Published
2010

12. A genome-wide linkage and association scan reveals novel loci for autism

Author

Weiss, L.A. Arking, D.E. Daly, M.J. Chakravarti, A. Brune, C.W. West, K. O'Connor, A. Hilton, G. Tomlinson, R.L. West, A.B. Cook Jr., E.H. Green, T. Chang, S.-C. Gabriel, S. Gates, C. Hanson, E.M. Kirby, A. Korn, J. Kuruvilla, F. McCarroll, S. Morrow, E.M. Neale, B. Purcell, S. Sasanfar, R. Sougnez, C. Stevens, C. Altshuler, D. Gusella, J. Santangelo, S.L. Sklar, P. Tanzi, R. Anney, R. Bailey, A.J. Baird, G. Battaglia, A. Berney, T. Betancur, C. Bölte, S. Bolton, P.F. Brian, J. Bryson, S.E. Buxbaum, J.D. Cabrito, I. Cai, G. Cantor, R.M. Coon, H. Conroy, J. Correia, C. Corsello, C. Crawford, E.L. Cuccaro, M.L. Dawson, G. De Jonge, M. Devlin, B. Duketis, E. Ennis, S. Estes, A. Farrar, P. Fombonne, E. Freitag, C.M. Gallagher, L. Geschwind, D.H. Gilbert, J. Gill, M. Gillberg, C. Goldberg, J. Green, A. Green, J. Guter, S.J. Haines, J.L. Hallmayer, J.F. Hus, V. Klauck, S.M. Korvatska, O. Lamb, J.A. Laskawiec, M. Leboyer, M. Le Couteur, A. Leventha, B.L. Liu, X.-Q. Lord, C. Lotspeich, L.J. Maestrini, E. Magalhaes, T. Mahoney, W. Mantoulan, C. McConachie, H. McDougle, C.J. McMahon, W.M. Marshall, C.R. Miller, J. Minshew, N.J. Monaco, A.P. Munson, J. Nurnberger Jr., J.I. Oliveira, G. Pagnamenta, A. Papanikolaou, K. Parr, J.R. Paterson, A.D. Pericak-Vance, M.A. Pickles, A. Pinto, D. Piven, J. Posey, D.J. Poustka, A. Poustka, F. Regan, R. Reichert, J. Renshaw, K. Roberts, W. Roge, B. Rutter, M.L. Salt, J. Schellenberg, G.D. Scherer, S.W. Sheffield, V. Sutcliffe, J.S. Szatmari, P. Tansey, K. Thompson, A.P. Tsiantis, J. Van Engeland, H. Vicente, A.M. Vieland, V.J. Volkmar, F. Wallace, S. Wassink, T.H. Wijsman, E.M. Wing, K. Wittemeyer, K. Yaspan, B.L. Zwaigenbaum, L. Yoo, S.-Y. Hill, R.S. Mukaddes, N.M. Balkhy, S. Gascon, G. Al-Saad, S. Hashmi, A. Ware, J. Joseph, R.M. LeClair, E. Partlow, J.N. Barry, B. Walsh, C.A. Pauls, D. Moilanen, I. Ebeling, H. Mattila, M.-L. Kuusikko, S. Jussila, K. Ignatius, J. Tolouei, A. Ghadami, M. Rostami, M. Hosseinipour, A. Valujerdi, M. Andresen, K. Winkloski, B. Haddad, S. Kunkel, L. Kohane, Z. Tran, T. Won Kong, S. O'Neil, S.B. Hundley, R. Holm, I. Peters, H. Baroni, E. Cangialose, A. Jackson, L. Albers, L. Becker, R. Bridgemohan, C. Friedman, S. Munir, K. Nazir, R. Palfrey, J. Schonwald, A. Simmons, E. Rappaport, L.A. Gauthier, J. Mottron, L. Joober, R. Rouleau, G. Rehnstrom, K. Von Wendt, L. Peltonen, L.

Abstract

Although autism is a highly heritable neurodevelopmental disorder, attempts to identify specific susceptibility genes have thus far met with limited success. Genome-wide association studies using half a million or more markers, particularly those with very large sample sizes achieved through meta-analysis, have shown great success in mapping genes for other complex genetic traits. Consequently, we initiated a linkage and association mapping study using half a million genome-wide single nucleotide polymorphisms (SNPs) in a common set of 1,031 multiplex autism families (1,553 affected offspring). We identified regions of suggestive and significant linkage on chromosomes 6q27 and 20p13, respectively. Initial analysis did not yield genome-wide significant associations; however, genotyping of top hits in additional families revealed an SNP on chromosome 5p15 (between SEMA5A and TAS2R1) that was significantly associated with autism (P = 2 × 10-7). We also demonstrated that expression of SEMA5A is reduced in brains from autistic patients, further implicating SEMA5A as an autism susceptibility gene. The linkage regions reported here provide targets for rare variation screening whereas the discovery of a single novel association demonstrates the action of common variants.

Published
2009

13. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Author

Szatmari, P. Paterson, A.D. Zwaigenbaum, L. Roberts, W. Brian, J. Liu, X.-Q. Vincent, J.B. Skaug, J.L. Thompson, A.P. Senman, L. Feuk, L. Qian, C. Bryson, S.E. Jones, M.B. Marshall, C.R. Scherer, S.W. Vieland, V.J. Bartlett, C. Mangin, L.V. Goedken, R. Segre, A. Pericak-Vance, M.A. Cuccaro, M.L. Gilbert, J.R. Wright, H.H. Abramson, R.K. Betancur, C. Bourgeron, T. Gillberg, C. Leboyer, M. Buxbaum, J.D. Davis, K.L. Hollander, E. Silverman, J.M. Hallmayer, J. Lotspeich, L. Sutcliffe, J.S. Haines, J.L. Folstein, S.E. Piven, J. Wassink, T.H. Sheffield, V. Geschwind, D.H. Bucan, M. Brown, W.T. Cantor, R.M. Constantino, J.N. Gilliam, T.C. Herbert, M. LaJonchere, C. Ledbetter, D.H. Lese-Martin, C. Miller, J. Nelson, S. Samango-Sprouse, C.A. Spence, S. State, M. Tanzi, R.E. Coon, H. Dawson, G. Devlin, B. Estes, A. Flodman, P. Klei, L. McMahon, W.M. Minshew, N. Munson, J. Korvatska, E. Rodier, P.M. Schellenberg, G.D. Smith, M. Spence, M.A. Stodgell, C. Tepper, P.G. Wijsman, E.M. Yu, C.-E. Rogé, B. Mantoulan, C. Wittemeyer, K. Poustka, A. Felder, B. Klauck, S.M. Schuster, C. Poustka, F. Bölte, S. Feineis-Matthews, S. Herbrecht, E. Schmötzer, G. Tsiantis, J. Papanikolaou, K. Maestrini, E. Bacchelli, E. Blasi, F. Carone, S. Toma, C. Van Engeland, H. De Jonge, M. Kemner, C. Koop, F. Langemeijer, M. Hijimans, C. Staal, W.G. Baird, G. Bolton, P.F. Rutter, M.L. Weisblatt, E. Green, J. Aldred, C. Wilkinson, J.-A. Pickles, A. Le Couteur, A. Berney, T. McConachie, H. Bailey, A.J. Francis, K. Honeyman, G. Hutchinson, A. Parr, J.R. Wallace, S. Monaco, A.P. Barnby, G. Kobayashi, K. Lamb, J.A. Sousa, I. Sykes, N. Cook, E.H. Guter, S.J. Leventhal, B.L. Salt, J. Lord, C. Corsello, C. Hus, V. Weeks, D.E. Volkmar, F. Tauber, M. Fombonne, E. Shih, A.

Subjects
mental disorders
Abstract

Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.

Published
2007

16. MISINTERPRETING ROLE CHANGES AS CHANGES OF PERSON.

Author

Bolton, P.F.

Subjects
LETTERS to the editor, COGNITION disorders
Abstract

A letter to the editor is presented in response to an article about a syndrome of misinterpreting role changes as changes of person in the June 1984 issue.

Published
1984
Full Text
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17. Tuberous Sclerosis 2000 Study.

Author

MacLean, Cathy, Yates, J.R.W., and Bolton, P.F.

Subjects
TUBEROUS sclerosis, GENETIC research, PRECANCEROUS conditions
Abstract

The Tuberous Sclerosis 2000 study aims to recruit all children aged 0 16 years newly diagnosed with TS in the UK during the period 2001 2005, carry out detailed baseline assessments and then continue with follow up assessments until December 2010. The aims of the study are to obtain high quality data on disease natural history and determine how this is affected by age, gender, mode of presentation and genotype and in the case of intellectual, cognitive, behavioural and neurological impairments to determine their relationship to the number and distribution of TS lesions in the brain and the type and course of seizures and response to treatment. The TS 2000 National Coordinating Committee are responsible for the planning and monitoring of the study which is being funded by the Tuberous Sclerosis Association. Children enrolled in the study are seen at a network of TS clinics around the UK. The detailed developmental and behavioural assessments are carried out by designated clinical psychologists. To date, 52 children have been ascertained for the study (30 males and 22 females, aged 8 months to 15 years). The majority of children have presented with seizures. In 3 cases the diagnosis was suspected antenatally when cardiac rhabdomyomas were seen on ultrasound scan. 86% of oases have seizures and at least 41% have learning disability (minimum estimate because detailed assessments are not yet completed). Recruitment is ongoing and we would be pleased to hear about new cases. [ABSTRACT FROM AUTHOR]

Published
2003

18. Mutation screening and association analysis of six candidate genes for autism on chromosome 7q

Author

BONORA, ELENA, Lamb J. A., Barnby G., Sykes N., Moberly T., Beyer K. S., Klauck S. M., Poustka F., Battaglia A., Haracopos D., Pedersen L., Isager T., Eriksen G., Viskum B., Sorensen E. U., Brondum Nielsen K., Cotterill R., Engeland H., Jonge M., Kemner C., Steggehuis K., Scherpenisse M., Rutter M., Bolton P. F., Parr J. R., Poustka A., Bailey A. J., Monaco A. P., International Molecular Genetic Study of Austism Consortium, BACCHELLI, ELENA, BLASI, FRANCESCA, MAESTRINI, ELENA, Bonora E., Lamb J.A., Barnby G., Sykes N., Moberly T., Beyer K.S., Klauck S.M., Poustka F., Bacchelli E., Blasi F., Maestrini E., Battaglia A., Haracopos D., Pedersen L., Isager T., Eriksen G., Viskum B., Sorensen E.U., Brondum-Nielsen K., Cotterill R., Engeland H., Jonge M., Kemner C., Steggehuis K., Scherpenisse M., Rutter M., Bolton P.F., Parr J.R., Poustka A., Bailey A.J., Monaco A.P., and International Molecular Genetic Study of Austism Consortium.

Abstract

Genetic studies have provided evidence for an autism susceptibility locus (AUTS1) on chromosome 7q. Screening for mutations in six genes mapping to 7q, CUTL1, SRPK2, SYPL, LAMB1, NRCAM and PTPRZ1 in 48 unrelated individuals with autism led to the identification of several new coding variants in the genes CUTL1, LAMB1 and PTPRZ1. Analysis of genetic variants provided evidence for association with autism for one of the new missense changes identified in LAMB1; this effect was stronger in a subgroup of affected male sibling pair families, implying a possible specific sex-related effect for this variant. Association was also detected for several polymorphisms in the promoter and untranslated region of NRCAM, suggesting that alterations in expression of this gene may be linked to autism susceptibility.

Published
2005

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