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Christa Lese-Martin

Bio: Christa Lese-Martin is an academic researcher from Emory University. The author has contributed to research in topics: Epigenetics of autism & Heritability of autism. The author has an hindex of 4, co-authored 4 publications receiving 4013 citations.

Papers
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Journal ArticleDOI
20 Apr 2007-Science
TL;DR: Findings establish de novo germline mutation as a more significant risk factor for ASD than previously recognized.
Abstract: We tested the hypothesis that de novo copy number variation (CNV) is associated with autism spectrum disorders (ASDs). We performed comparative genomic hybridization (CGH) on the genomic DNA of patients and unaffected subjects to detect copy number variants not present in their respective parents. Candidate genomic regions were validated by higher-resolution CGH, paternity testing, cytogenetics, fluorescence in situ hybridization, and microsatellite genotyping. Confirmed de novo CNVs were significantly associated with autism (P = 0.0005). Such CNVs were identified in 12 out of 118 (10%) of patients with sporadic autism, in 2 out of 77 (3%) of patients with an affected first-degree relative, and in 2 out of 196 (1%) of controls. Most de novo CNVs were smaller than microscopic resolution. Affected genomic regions were highly heterogeneous and included mutations of single genes. These findings establish de novo germline mutation as a more significant risk factor for ASD than previously recognized.

2,770 citations

Journal ArticleDOI
Peter Szatmari1, Andrew D. Paterson2, Lonnie Zwaigenbaum1, Wendy Roberts2, Jessica Brian2, Xiao-Qing Liu2, John B. Vincent2, Jennifer Skaug2, Ann P. Thompson1, Lili Senman2, Lars Feuk2, Cheng Qian2, Susan E. Bryson3, Marshall B. Jones4, Christian R. Marshall2, Stephen W. Scherer2, Veronica J. Vieland5, Christopher W. Bartlett5, La Vonne Mangin5, Rhinda Goedken6, Alberto M. Segre6, Margaret A. Pericak-Vance7, Michael L. Cuccaro7, John R. Gilbert7, Harry H. Wright8, Ruth K. Abramson8, Catalina Betancur9, Thomas Bourgeron10, Christopher Gillberg11, Marion Leboyer9, Joseph D. Buxbaum12, Kenneth L. Davis12, Eric Hollander12, Jeremy M. Silverman12, Joachim Hallmayer13, Linda Lotspeich13, James S. Sutcliffe14, Jonathan L. Haines14, Susan E. Folstein15, Joseph Piven16, Thomas H. Wassink6, Val C. Sheffield6, Daniel H. Geschwind17, Maja Bucan18, W. Ted Brown, Rita M. Cantor17, John N. Constantino19, T. Conrad Gilliam20, Martha R. Herbert21, Clara Lajonchere17, David H. Ledbetter22, Christa Lese-Martin22, Janet Miller17, Stan F. Nelson17, Carol A. Samango-Sprouse23, Sarah J. Spence17, Matthew W. State24, Rudolph E. Tanzi21, Hilary Coon25, Geraldine Dawson26, Bernie Devlin27, Annette Estes26, Pamela Flodman28, Lambertus Klei27, William M. McMahon25, Nancy J. Minshew27, Jeff Munson26, Elena Korvatska26, Elena Korvatska29, Patricia M. Rodier30, Gerard D. Schellenberg29, Gerard D. Schellenberg26, Moyra Smith28, M. Anne Spence28, Christopher J. Stodgell30, Ping Guo Tepper, Ellen M. Wijsman26, Chang En Yu26, Chang En Yu29, Bernadette Rogé31, Carine Mantoulan31, Kerstin Wittemeyer31, Annemarie Poustka32, Bärbel Felder32, Sabine M. Klauck32, Claudia Schuster32, Fritz Poustka33, Sven Bölte33, Sabine Feineis-Matthews33, Evelyn Herbrecht33, Gabi Schmötzer33, John Tsiantis34, Katerina Papanikolaou34, Elena Maestrini35, Elena Bacchelli35, Francesca Blasi35, Simona Carone35, Claudio Toma35, Herman van Engeland36, Maretha de Jonge36, Chantal Kemner36, Frederike Koop36, Marjolijn Langemeijer36, Channa Hijimans36, Wouter G. Staal36, Gillian Baird37, Patrick Bolton38, Michael Rutter38, Emma Weisblatt39, Jonathan Green40, Catherine Aldred40, Julie Anne Wilkinson40, Andrew Pickles40, Ann Le Couteur41, Tom Berney41, Helen McConachie41, Anthony J. Bailey42, Kostas Francis42, Gemma Honeyman42, Aislinn Hutchinson42, Jeremy R. Parr42, Simon Wallace42, Anthony P. Monaco42, Gabrielle Barnby42, Kazuhiro Kobayashi42, Janine A. Lamb42, Inês Sousa42, Nuala Sykes42, Edwin H. Cook43, Stephen J. Guter43, Bennett L. Leventhal43, Jeff Salt43, Catherine Lord44, Christina Corsello44, Vanessa Hus44, Daniel E. Weeks27, Fred R. Volkmar24, Maïté Tauber45, Eric Fombonne46, Andy Shih47 
TL;DR: Linkage and copy number variation analyses implicate chromosome 11p12–p13 and neurexins, respectively, among other candidate loci, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
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 1,181 [corrected] 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.

1,338 citations

Journal ArticleDOI
TL;DR: Support is provided for a distinct “15q overgrowth syndrome” caused by either trisomy or tetrasomy resulting in increased dosage of distal 15q and it is proposed that renal anomalies and a distinctive facial appearance be considered major features of this condition.
Abstract: Trisomy and tetrasomy of distal chromosome 15q have rarely been reported. Although most of the described patients have some learning difficulties and are overgrown, the phenotype associated with distal trisomy/tetrasomy 15q is uncertain due to the small numbers of reported cases and the common co-occurrence of additional chromosome deletions in many patients with trisomy 15q. We present five individuals with overgrowth, learning difficulties and increased dosage of distal 15q. Partial trisomy 15q was identified in four of these cases. Two were generated through recombination of a parental pericentric inversion and two were generated through malsegregation of a maternal balanced 14;15 reciprocal translocation. In all four cases the trisomy can be considered "pure" as the 14p and 15p monosomies will exert no phenotypic effect. Partial tetrasomy 15q, as the result of an analphoid supernumerary chromosome derived from an inverted duplication of distal 15q, was identified in the fifth patient. In addition to the overgrowth and learning difficulties, all five had a characteristic facial appearance and three had renal anomalies. The gestalt consists of a long, thin face with a prominent chin and nose. Renal anomalies included renal agenesis, horseshoe kidney, and hydronephrosis. We provide further support for a distinct "15q overgrowth syndrome" caused by either trisomy or tetrasomy resulting in increased dosage of distal 15q. In addition we propose that renal anomalies and a distinctive facial appearance be considered major features of this condition.

50 citations

Journal ArticleDOI
TL;DR: The first patient with a deletion of 19p13.3, identified by subtelomeric FISH analysis, was presented, his features included a distinctive facial appearance, cleft palate, hearing impairment, congenital heart malformation, keloid scarring, immune dysregulation, and mild learning difficulties.
Abstract: Telomeres are gene rich regions with a high recombination rate. Cryptic subtelomeric rearrangements are estimated to account for 5% of mental retardation/malformation syndromes. Here we present the first patient with a deletion of 19p13.3, identified by subtelomeric FISH analysis. His features included a distinctive facial appearance, cleft palate, hearing impairment, congenital heart malformation, keloid scarring, immune dysregulation, and mild learning difficulties. Subtelomeric FISH analysis identified a deletion of 19p13.3-pter. The deletion size was determined to be 1.2 Mb by FISH analysis. It extended from within the chromosomal region covered by BAC RP11-50C6 to 19pter. The deleted area encompassed approximately 60 genes. Fifteen possible candidate genes were considered with respect to the phenotype, including follistatin-related precursor 3 (FSTL3) and serine-threonine kinase 11 (STK-11).

38 citations


Cited by
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Journal ArticleDOI
08 Oct 2009-Nature
TL;DR: This paper examined potential sources of missing heritability and proposed research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment.
Abstract: Genome-wide association studies have identified hundreds of genetic variants associated with complex human diseases and traits, and have provided valuable insights into their genetic architecture. Most variants identified so far confer relatively small increments in risk, and explain only a small proportion of familial clustering, leading many to question how the remaining, 'missing' heritability can be explained. Here we examine potential sources of missing heritability and propose research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment.

7,797 citations

Journal ArticleDOI
Silvia De Rubeis1, Xin-Xin He2, Arthur P. Goldberg1, Christopher S. Poultney1, Kaitlin E. Samocha3, A. Ercument Cicek2, Yan Kou1, Li Liu2, Menachem Fromer1, Menachem Fromer3, R. Susan Walker4, Tarjinder Singh5, Lambertus Klei6, Jack A. Kosmicki3, Shih-Chen Fu1, Branko Aleksic7, Monica Biscaldi8, Patrick Bolton9, Jessica M. Brownfeld1, Jinlu Cai1, Nicholas G. Campbell10, Angel Carracedo11, Angel Carracedo12, Maria H. Chahrour3, Andreas G. Chiocchetti, Hilary Coon13, Emily L. Crawford10, Lucy Crooks5, Sarah Curran9, Geraldine Dawson14, Eftichia Duketis, Bridget A. Fernandez15, Louise Gallagher16, Evan T. Geller17, Stephen J. Guter18, R. Sean Hill19, R. Sean Hill3, Iuliana Ionita-Laza20, Patricia Jiménez González, Helena Kilpinen, Sabine M. Klauck21, Alexander Kolevzon1, Irene Lee22, Jing Lei2, Terho Lehtimäki, Chiao-Feng Lin17, Avi Ma'ayan1, Christian R. Marshall4, Alison L. McInnes23, Benjamin M. Neale24, Michael John Owen25, Norio Ozaki7, Mara Parellada26, Jeremy R. Parr27, Shaun Purcell1, Kaija Puura, Deepthi Rajagopalan4, Karola Rehnström5, Abraham Reichenberg1, Aniko Sabo28, Michael Sachse, Stephen Sanders29, Chad M. Schafer2, Martin Schulte-Rüther30, David Skuse31, David Skuse22, Christine Stevens24, Peter Szatmari32, Kristiina Tammimies4, Otto Valladares17, Annette Voran33, Li-San Wang17, Lauren A. Weiss29, A. Jeremy Willsey29, Timothy W. Yu19, Timothy W. Yu3, Ryan K. C. Yuen4, Edwin H. Cook18, Christine M. Freitag, Michael Gill16, Christina M. Hultman34, Thomas Lehner35, Aarno Palotie36, Aarno Palotie24, Aarno Palotie3, Gerard D. Schellenberg17, Pamela Sklar1, Matthew W. State29, James S. Sutcliffe10, Christopher A. Walsh3, Christopher A. Walsh19, Stephen W. Scherer4, Michael E. Zwick37, Jeffrey C. Barrett5, David J. Cutler37, Kathryn Roeder2, Bernie Devlin6, Mark J. Daly24, Mark J. Daly3, Joseph D. Buxbaum1 
13 Nov 2014-Nature
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.

2,228 citations

Journal ArticleDOI
13 Nov 2014-Nature
TL;DR: It is estimated that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation.
Abstract: Whole exome sequencing has proven to be a powerful tool for understanding the genetic architecture of human disease. Here we apply it to more than 2,500 simplex families, each having a child with an autistic spectrum disorder. By comparing affected to unaffected siblings, we show that 13% of de novo missense mutations and 43% of de novo likely gene-disrupting (LGD) mutations contribute to 12% and 9% of diagnoses, respectively. Including copy number variants, coding de novo mutations contribute to about 30% of all simplex and 45% of female diagnoses. Almost all LGD mutations occur opposite wild-type alleles. LGD targets in affected females significantly overlap the targets in males of lower intelligence quotient (IQ), but neither overlaps significantly with targets in males of higher IQ. We estimate that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation. LGD targets in the joint class overlap with published targets for intellectual disability and schizophrenia, and are enriched for chromatin modifiers, FMRP-associated genes and embryonically expressed genes. Most of the significance for the latter comes from affected females.

2,124 citations

Journal ArticleDOI
TL;DR: W Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity.
Abstract: Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience because of their high prevalence, lifelong nature, complexity and substantial heterogeneity. Facing these obstacles requires large-scale multidisciplinary efforts. Although the field of genetics has pioneered data sharing for these reasons, neuroimaging had not kept pace. In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE)-a grassroots consortium aggregating and openly sharing 1112 existing resting-state functional magnetic resonance imaging (R-fMRI) data sets with corresponding structural MRI and phenotypic information from 539 individuals with ASDs and 573 age-matched typical controls (TCs; 7-64 years) (http://fcon_1000.projects.nitrc.org/indi/abide/). Here, we present this resource and demonstrate its suitability for advancing knowledge of ASD neurobiology based on analyses of 360 male subjects with ASDs and 403 male age-matched TCs. We focused on whole-brain intrinsic functional connectivity and also survey a range of voxel-wise measures of intrinsic functional brain architecture. Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity. Exploratory analyses using an array of regional metrics of intrinsic brain function converged on common loci of dysfunction in ASDs (mid- and posterior insula and posterior cingulate cortex), and highlighted less commonly explored regions such as the thalamus. The survey of the ABIDE R-fMRI data sets provides unprecedented demonstrations of both replication and novel discovery. By pooling multiple international data sets, ABIDE is expected to accelerate the pace of discovery setting the stage for the next generation of ASD studies.

1,939 citations

Journal ArticleDOI
10 May 2012-Nature
TL;DR: It is shown, using whole-exome sequencing of 928 individuals, including 200 phenotypically discordant sibling pairs, that highly disruptive (nonsense and splice-site) de novo mutations in brain-expressed genes are associated with autism spectrum disorders and carry large effects.
Abstract: Multiple studies have confirmed the contribution of rare de novo copy number variations to the risk for autism spectrum disorders. But whereas de novo single nucleotide variants have been identified in affected individuals, their contribution to risk has yet to be clarified. Specifically, the frequency and distribution of these mutations have not been well characterized in matched unaffected controls, and such data are vital to the interpretation of de novo coding mutations observed in probands. Here we show, using whole-exome sequencing of 928 individuals, including 200 phenotypically discordant sibling pairs, that highly disruptive (nonsense and splice-site) de novo mutations in brain-expressed genes are associated with autism spectrum disorders and carry large effects. On the basis of mutation rates in unaffected individuals, we demonstrate that multiple independent de novo single nucleotide variants in the same gene among unrelated probands reliably identifies risk alleles, providing a clear path forward for gene discovery. Among a total of 279 identified de novo coding mutations, there is a single instance in probands, and none in siblings, in which two independent nonsense variants disrupt the same gene, SCN2A (sodium channel, voltage-gated, type II, α subunit), a result that is highly unlikely by chance.

1,930 citations