A genome-wide association study of autism reveals a common novel risk locus at 5p14.1.
paper
Cited
Public
- Authors
- Ma, Deqiong; Salyakina, Daria; Jaworski, James M; Konidari, Ioanna; Whitehead, Patrice L; Andersen, Ashley N; Hoffman, Joshua D; Slifer, Susan H; Hedges, Dale J; Cukier, Holly N; Griswold, Anthony J; McCauley, Jacob L; Beecham, Gary W; Wright, Harry H; Abramson, Ruth K; Martin, Eden R; Hussman, John P; Gilbert, John R; Cuccaro, Michael L; Haines, Jonathan L; Pericak-Vance, Margaret A
- Year
- 2009
- Journal
- Annals of human genetics
- PMID
- 19456320
- DOI
- 10.1111/j.1469-1809.2009.00523.x
- PMCID
- PMC2918410
Although autism is one of the most heritable neuropsychiatric disorders, its underlying genetic architecture has largely eluded description. To comprehensively examine the hypothesis that common variation is important in autism, we performed a genome-wide association study (GWAS) using a discovery dataset of 438 autistic Caucasian families and the Illumina Human 1M beadchip. 96 single nucleotide polymorphisms (SNPs) demonstrated strong association with autism risk (p-value < 0.0001). The validation of the top 96 SNPs was performed using an independent dataset of 487 Caucasian autism families genotyped on the 550K Illumina BeadChip. A novel region on chromosome 5p14.1 showed significance in both the discovery and validation datasets. Joint analysis of all SNPs in this region identified 8 SNPs having improved p-values (3.24E-04 to 3.40E-06) than in either dataset alone. Our findings demonstrate that in addition to multiple rare variations, part of the complex genetic architecture of autism involves common variation.
No figures extracted from this document.
← Prev
21–31 of 31
| Name | Type |
|---|---|
| 1M BeadChip SNPs local | variant |
| 5p14.1 local | variant |
| 72 multiplex autism families local | cohort |
| agarose | drug |
| age-related macular degeneration | phenotype |
| AGRE | cohort |
| AGRE dataset local | cohort |
| Alzheimer's disease | phenotype |
| apoE | gene |
| Applied Biosystems | drug |
| ASDs | phenotype |
| Asperger syndrome | phenotype |
| autism | phenotype |
| Autism consensus cohort local | cohort |
| Autism Genetics Resource Exchange 2008 local | cohort |
| Autism Genome Research Exchange local | cohort |
| autism spectrum disorders | phenotype |
| autistic disorder | phenotype |
| autistic families local | cohort |
| Autistic families local | cohort |
| CAP dataset local | cohort |
| Caucasian families local | cohort |
| CDH10 | gene |
| CDH9 | gene |
| CFH | gene |
| CNTNAP2 | gene |
| CNTNAP2 common variant local | variant |
| Cohort_1 local | cohort |
| Cohort_2 local | cohort |
| cohort of 1,241 ASD cases and 6,491 control local | cohort |
| Collaborative Autism Project local | cohort |
| Combined_dataset local | cohort |
| common variation | variant |
| discovery dataset | cohort |
| discovery families local | cohort |
| DNA | drug |
| genetic disorders | phenotype |
| genetic gender local | phenotype |
| genomic DNA | drug |
| haplotype block delineation local | phenotype |
| Haploview 4.1 local | drug |
| hearing loss | phenotype |
| Human 1Mv1 Beadchip local | drug |
| IL2RA local | gene |
| IL7RA local | gene |
| Illumina | drug |
| Illumina Procedures local | drug |
| Infinium II assay local | drug |
| International Molecular Genetic Study of Autism Consortium (IMGSAC) local | cohort |
| International Multiple Sclerosis Genetics Consortium local | cohort |
| Join sample local | cohort |
| joint dataset local | cohort |
| known common CNV-regions local | variant |
| LD measures (r2) local | phenotype |
| LD patterns local | phenotype |
| male only autism families local | cohort |
| male only families local | cohort |
| Mendelian errors local | phenotype |
| mental retardation | phenotype |
| metabolic disorders | phenotype |
| Miami Institute for Human Genomics local | cohort |
| most significant SNPs local | variant |
| Motor impairments local | phenotype |
| multiple sclerosis | phenotype |
| multiplex families | cohort |
| ND-8000 spectrophotometer local | drug |
| neurodevelopmental disorder | phenotype |
| Progressive neurological disorders local | phenotype |
| Puregene chemistry local | drug |
| Qiagen Autopure LS local | drug |
| rare structural DNA variations local | variant |
| rare variant | cohort |
| replicated SNPs local | variant |
| rs10038113 local | variant |
| rs270102 local | variant |
| rs7794745 local | variant |
| SingleAllAgre local | cohort |
| singleton families local | cohort |
| SNP | cohort |
| SNPs_5p14.1 local | variant |
| Taqman allelic discrimination assay local | drug |
| triad families local | cohort |
| twin and sibling studies local | cohort |
| University of South Carolina local | cohort |
| Unrelated founders local | cohort |
| U.S. children | cohort |
| validation dataset local | cohort |
| Validation dataset local | cohort |
| validation families local | cohort |
| Vanderbilt Center for Human Genetics Research local | cohort |
| Visual impairment local | phenotype |
| whole blood | anatomy |
| W.S. Hall Psychiatric Institute local | cohort |
| X-chromosome linked SNPs local | variant |
No uploaded files.
Not in any collection.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Comparing Alzheimer's genes in African, European, and Amerindian induced pluripotent stem cell-derived microglia. | Moura S et al. | — | 2025 | → |
| Digestive Neurobiology in Autism: From Enteric and Central Nervous System Interactions to Shared Genetic Pathways. | Robas R et al. | — | 2025 | → |
| Dysregulation of heterochromatin caused by genomic structural variants may be central to autism spectrum disorder. | Garvin MR et al. | — | 2025 | → |
| The knockout of Moesin leads to excess microglia-mediated synaptic pruning and impairs social novelty in a mouse model. | Lai W et al. | — | 2025 | → |
| Molecular profiling of the hippocampus of children with autism spectrum disorder. | Rexrode LE et al. | — | 2024 | → |
| The genetic landscape of autism spectrum disorder in the Middle Eastern population. | Al-Sarraj Y et al. | — | 2024 | → |
| Structural variants identified using non-Mendelian inheritance patterns advance the mechanistic understanding of autism spectrum disorder. | Kainer D et al. | — | 2023 | → |
| Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants. | Tuncay IO et al. | — | 2022 | → |
| DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders. | Beyreli I et al. | — | 2022 | → |
| Editorial: Brain extracellular matrix: Involvement in adult neural functions and disease volume II. | Pantazopoulos H et al. | — | 2022 | → |
| Comprehensive Integrative Analyses Identify TIGD5 rs75547282 as a Risk Variant for Autism Spectrum Disorder. | Xie X et al. | — | 2021 | → |
| Family-Based Genome-Wide Association Study of Autism Spectrum Disorder in Middle Eastern Families. | Al-Sarraj Y et al. | — | 2021 | → |
| Genetic influences of autism candidate genes on circuit wiring and olfactory decoding. | Hartig R et al. | — | 2021 | → |
| [Genetic risk factors and their influence on neural development in autism spectrum disorders]. | Freitag CM et al. | — | 2021 | → |
| Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders. | Searles Quick VB et al. | — | 2021 | → |
| Predicting the Risk Genes of Autism Spectrum Disorders. | Lin Y et al. | — | 2021 | → |
| Structural Variants Are a Major Component of the Missing Heritability of Autism Spectrum Disorder | Kainer D et al. | — | 2021 | — |
| Three decades of ASD genetics: building a foundation for neurobiological understanding and treatment. | Eyring KW et al. | — | 2021 | → |
| Differential Expression of Hippocampal Circular RNAs in the BTBR Mouse Model for Autism Spectrum Disorder. | Gasparini S et al. | — | 2020 | → |
| Genetic Risk of Autism Spectrum Disorder in a Pakistani Population. | Khalid M et al. | — | 2020 | → |
| Genetic Variation and Autism: A Field Synopsis and Systematic Meta-Analysis. | Lee J et al. | — | 2020 | → |
| Integrative analyses indicate an association between ITIH3 polymorphisms with autism spectrum disorder. | Xie X et al. | — | 2020 | → |
| Association of genes with phenotype in autism spectrum disorder. | Nisar S et al. | — | 2019 | → |
| Benefits and limitations of genome-wide association studies. | Tam V et al. | — | 2019 | → |
| Environmental and Genetic Factors in Autism Spectrum Disorders: Special Emphasis on Data from Arabian Studies. | Almandil NB et al. | — | 2019 | → |
| GWAS of Behavioral Traits. | Mehta D et al. | — | 2019 | → |
| Identification of common genetic risk variants for autism spectrum disorder. | Grove J et al. | — | 2019 | → |
| Identifying Genomic Variations in Monozygotic Twins Discordant for Autism Spectrum Disorder Using Whole-Genome Sequencing. | Huang Y et al. | — | 2019 | → |
| Impact of autism-associated genetic variants in interaction with environmental factors on ADHD comorbidities: an exploratory pilot study. | Waltes R et al. | — | 2019 | → |
| Novel Gene-Based Analysis of ASD GWAS: Insight Into the Biological Role of Associated Genes. | Alonso-Gonzalez A et al. | — | 2019 | → |
| A method for determining haploid and triploid genotypes and their association with vascular phenotypes in Williams syndrome and 7q11.23 duplication syndrome. | Gregory MD et al. | — | 2018 | → |
| An autistic-like profile of attention and perception in synaesthesia. | Ward J et al. | — | 2018 | → |
| Convergent Pathways in Idiopathic Autism Revealed by Time Course Transcriptomic Analysis of Patient-Derived Neurons. | DeRosa BA et al. | — | 2018 | → |
| Genetics of autism spectrum disorder. | Ramaswami G et al. | — | 2018 | → |
| <i>De novo</i> Mutations (DNMs) in Autism Spectrum Disorder (ASD): Pathway and Network Analysis. | Alonso-Gonzalez A et al. | — | 2018 | → |
| Identification of rare noncoding sequence variants in gamma-aminobutyric acid A receptor, alpha 4 subunit in autism spectrum disorder. | Griswold AJ et al. | — | 2018 | → |
| Integrated molecular landscape of amyotrophic lateral sclerosis provides insights into disease etiology. | Klemann CJHM et al. | — | 2018 | → |
| The contribution of alternative splicing to genetic risk for psychiatric disorders. | Reble E et al. | — | 2018 | → |
| The G protein-coupled receptor GPR34 - The past 20 years of a grownup. | Schöneberg T et al. | — | 2018 | → |
| The Italian autism network (ITAN): a resource for molecular genetics and biomarker investigations. | Muglia P et al. | — | 2018 | → |
| Alterations of type II classical cadherin, cadherin-10 (CDH10), is associated with pancreatic ductal adenocarcinomas. | Jinawath N et al. | — | 2017 | → |
| Autism genetics - an overview. | Yin J et al. | — | 2017 | → |
| Bio-collections in autism research. | Reilly J et al. | — | 2017 | → |
| Cadherin-10 Maintains Excitatory/Inhibitory Ratio through Interactions with Synaptic Proteins. | Smith KR et al. | — | 2017 | → |
| Candidate Biomarkers in Children with Autism Spectrum Disorder: A Review of MRI Studies. | Li D et al. | — | 2017 | → |
| Close genetic relationships between a spousal pair with autism-affected children and high minor allele content in cases in autism-associated SNPs. | Zhu Z et al. | — | 2017 | → |
| Gene-set analysis shows association between FMRP targets and autism spectrum disorder. | Jansen A et al. | — | 2017 | → |
| Imaging genetics in neurodevelopmental psychopathology. | Klein M et al. | — | 2017 | → |
| Integrated molecular landscape of Parkinson's disease. | Klemann CJHM et al. | — | 2017 | → |
| Lack of replication of previous autism spectrum disorder GWAS hits in European populations. | Torrico B et al. | — | 2017 | → |
| Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism. | Chen R et al. | — | 2017 | → |
| Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia. | Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium | — | 2017 | → |
| Single Marker Family-Based Association Analysis Conditional on Parental Information. | Chung RH et al. | — | 2017 | → |
| Strength of functional signature correlates with effect size in autism. | Ballouz S et al. | — | 2017 | → |
| Variants in TTC25 affect autistic trait in patients with autism spectrum disorder and general population. | Vojinovic D et al. | — | 2017 | → |
| A comparison of DMET Plus microarray and genome-wide technologies by assessing population substructure. | Jackson JN et al. | — | 2016 | → |
| Cri-Du-Chat Syndrome: Clinical Profile and Chromosomal Microarray Analysis in Six Patients. | Espirito Santo LD et al. | — | 2016 | → |
| Evidence for contribution of common genetic variants within chromosome 8p21.2-8p21.1 to restricted and repetitive behaviors in autism spectrum disorders. | Tao Y et al. | — | 2016 | → |
| Human Inducible Pluripotent Stem Cells and Autism Spectrum Disorder: Emerging Technologies. | Nestor MW et al. | — | 2016 | → |
| In Sickness and in Health: Perineuronal Nets and Synaptic Plasticity in Psychiatric Disorders. | Pantazopoulos H et al. | — | 2016 | → |
| Neurobiology of social behavior abnormalities in autism and Williams syndrome. | Barak B et al. | — | 2016 | → |
| The role of protein intrinsic disorder in major psychiatric disorders. | Tovo-Rodrigues L et al. | — | 2016 | → |
| Genetics and genomics of autism spectrum disorder: embracing complexity. | De Rubeis S et al. | — | 2015 | → |
| Genetics of Autism Spectrum Disorder: Current Status and Possible Clinical Applications. | Yoo H | — | 2015 | → |
| Genome-Wide Association Study for Autism Spectrum Disorder in Taiwanese Han Population. | Kuo PH et al. | — | 2015 | → |
| High-resolution chromosome ideogram representation of currently recognized genes for autism spectrum disorders. | Butler MG et al. | — | 2015 | → |
| Investigation of sex differences in the expression of RORA and its transcriptional targets in the brain as a potential contributor to the sex bias in autism. | Hu VW et al. | — | 2015 | → |
| Moving from capstones toward cornerstones: successes and challenges in applying systems biology to identify mechanisms of autism spectrum disorders. | Kopp N et al. | — | 2015 | → |
| Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants. | Griswold AJ et al. | — | 2015 | → |
| The emerging picture of autism spectrum disorder: genetics and pathology. | Chen JA et al. | — | 2015 | → |
| The oxytocin receptor gene (OXTR) is associated with autism spectrum disorder: a meta-analysis. | LoParo D et al. | — | 2015 | → |
| A candidate gene association study further corroborates involvement of contactin genes in autism. | Poot M | — | 2014 | → |
| A novel computational biostatistics approach implies impaired dephosphorylation of growth factor receptors as associated with severity of autism. | Wittkowski KM et al. | — | 2014 | → |
| Association of CDH11 with non-syndromic ASD. | Crepel A et al. | — | 2014 | → |
| Associations between oxytocin-related genes and autistic-like traits. | Hovey D et al. | — | 2014 | → |
| Association study between autistic-like traits and polymorphisms in the autism candidate regions RELN, CNTNAP2, SHANK3, and CDH9/10. | Jonsson L et al. | — | 2014 | → |
| Biomarkers in autism. | Goldani AA et al. | — | 2014 | → |
| Chromatin regulators, phenotypic robustness, and autism risk. | Suliman R et al. | — | 2014 | → |
| Etiology of autism spectrum disorder: a genomics perspective. | Connolly JJ et al. | — | 2014 | → |
| Evolutionary conservation in genes underlying human psychiatric disorders. | Ogawa LM et al. | — | 2014 | → |
| Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders. | Cukier HN et al. | — | 2014 | → |
| Family-based clinical associations and functional characterization of the serotonin 2A receptor gene (HTR2A) in autism spectrum disorder. | Smith RM et al. | — | 2014 | → |
| Genetic aspects of autism spectrum disorders: insights from animal models. | Banerjee S et al. | — | 2014 | → |
| MACROD2 gene associated with autistic-like traits in a general population sample. | Jones RM et al. | — | 2014 | → |
| N-cadherin regulates molecular organization of excitatory and inhibitory synaptic circuits in adult hippocampus in vivo. | Nikitczuk JS et al. | — | 2014 | → |
| AKAPs integrate genetic findings for autism spectrum disorders. | Poelmans G et al. | — | 2013 | → |
| A molecular genetic study of autism and related phenotypes in extended pedigrees. | Piven J et al. | — | 2013 | → |
| An eQTL mapping approach reveals that rare variants in the SEMA5A regulatory network impact autism risk. | Cheng Y et al. | — | 2013 | → |
| Autism genetics. | Persico AM et al. | — | 2013 | → |
| Autism spectrum disorder causes, mechanisms, and treatments: focus on neuronal synapses. | Won H et al. | — | 2013 | → |
| Common variation contributes to the genetic architecture of social communication traits. | St Pourcain B et al. | — | 2013 | → |
| Epigenomic strategies at the interface of genetic and environmental risk factors for autism. | LaSalle JM | — | 2013 | → |
| Evaluating mitochondrial DNA variation in autism spectrum disorders. | Hadjixenofontos A et al. | — | 2013 | → |
| Evidence from human and zebrafish that GPC1 is a biliary atresia susceptibility gene. | Cui S et al. | — | 2013 | → |
| Haplotype structure enables prioritization of common markers and candidate genes in autism spectrum disorder. | Vardarajan BN et al. | — | 2013 | → |
| Sex-specific association of a common variant of the XG gene with autism spectrum disorders. | Chang SC et al. | — | 2013 | → |
| Towards identification of individual etiologies by resolving genomic and biological conundrums in patients with autism spectrum disorders. | Poot M | — | 2013 | → |
| Whole-genome sequencing in an autism multiplex family. | Shi L et al. | — | 2013 | → |
| ADHD and autism: differential diagnosis or overlapping traits? A selective review. | Taurines R et al. | — | 2012 | → |
| Analysis of four genes involved in the neurodevelopment shows association of rs4307059 polymorphism in the cadherin 9/10 region with completed suicide. | Chojnicka I et al. | — | 2012 | → |
| A noncoding RNA antisense to moesin at 5p14.1 in autism. | Kerin T et al. | — | 2012 | → |
| Epileptic encephalopathies of the Landau-Kleffner and continuous spike and waves during slow-wave sleep types: genomic dissection makes the link with autism. | Lesca G et al. | — | 2012 | → |
| Evaluation of copy number variations reveals novel candidate genes in autism spectrum disorder-associated pathways. | Griswold AJ et al. | — | 2012 | → |
| Exploring the relationship between autism spectrum disorder and epilepsy using latent class cluster analysis. | Cuccaro ML et al. | — | 2012 | → |
| Genes associated with autism spectrum disorder. | Li X et al. | — | 2012 | → |
| Genetic architecture in autism spectrum disorder. | Devlin B et al. | — | 2012 | → |
| Genetic architectures of psychiatric disorders: the emerging picture and its implications. | Sullivan PF et al. | — | 2012 | → |
| Immune function genes CD99L2, JARID2 and TPO show association with autism spectrum disorder. | Ramos PS et al. | — | 2012 | → |
| Immune system gene dysregulation in autism and schizophrenia. | Michel M et al. | — | 2012 | → |
| Individual common variants exert weak effects on the risk for autism spectrum disorders. | Anney R et al. | — | 2012 | → |
| Integrative gene network analysis provides novel regulatory relationships, genetic contributions and susceptible targets in autism spectrum disorders. | Lee TL et al. | — | 2012 | → |
| Loci nominally associated with autism from genome-wide analysis show enrichment of brain expression quantitative trait loci but not lymphoblastoid cell line expression quantitative trait loci. | Davis LK et al. | — | 2012 | → |
| Modeling the functional genomics of autism using human neurons. | Konopka G et al. | — | 2012 | → |
| Sex differences in repetitive stereotyped behaviors in autism: implications for genetic liability. | Szatmari P et al. | — | 2012 | → |
| Single-marker family-based association analysis conditional on parental information. | Chung RH et al. | — | 2012 | → |
| Structural, genetic, and functional signatures of disordered neuro-immunological development in autism spectrum disorder. | Saxena V et al. | — | 2012 | → |
| Targeted pharmacogenetic analysis of antipsychotic response in the CATIE study. | Liu Q et al. | — | 2012 | → |
| The association of rs4307059 and rs35678 markers with autism spectrum disorders is replicated in Italian families. | Prandini P et al. | — | 2012 | → |
| The expanding role of MBD genes in autism: identification of a MECP2 duplication and novel alterations in MBD5, MBD6, and SETDB1. | Cukier HN et al. | — | 2012 | → |
| The WNT2 gene polymorphism associated with speech delay inherent to autism. | Lin PI et al. | — | 2012 | → |
| 2p15-p16.1 microdeletion syndrome: molecular characterization and association of the OTX1 and XPO1 genes with autism spectrum disorders. | Liu X et al. | — | 2011 | → |
| A de novo 1.5 Mb microdeletion on chromosome 14q23.2-23.3 in a patient with autism and spherocytosis. | Griswold AJ et al. | — | 2011 | → |
| A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism. | Hussman JP et al. | — | 2011 | → |
| An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males. | Chung RH et al. | — | 2011 | → |
| Association genetics of complex traits in plants. | Ingvarsson PK et al. | — | 2011 | → |
| Association of hypomelanotic skin disorders with autism: links to possible etiologic role of vitamin-D levels in autism? | Bakare MO et al. | — | 2011 | → |
| Associations of hypomelanotic skin disorders with autism: Do they reflect the effects of genetic mutations and epigenetic factors on vitamin-D metabolism in individuals at risk for autism? | Bakare MO et al. | — | 2011 | → |
| Copy number variants in extended autism spectrum disorder families reveal candidates potentially involved in autism risk. | Salyakina D et al. | — | 2011 | → |
| Do common variants play a role in risk for autism? Evidence and theoretical musings. | Devlin B et al. | — | 2011 | → |
| Evolutionary evidence of the effect of rare variants on disease etiology. | Gorlov IP et al. | — | 2011 | → |
| Gene-ontology enrichment analysis in two independent family-based samples highlights biologically plausible processes for autism spectrum disorders. | Anney RJ et al. | — | 2011 | → |
| Genetic analysis of biological pathway data through genomic randomization. | Yaspan BL et al. | — | 2011 | → |
| Genetic risk in autism: new associations and clinical testing. | Freitag CM | — | 2011 | → |
| Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16. | Chapman NH et al. | — | 2011 | → |
| Links between genetics and pathophysiology in the autism spectrum disorders. | Holt R et al. | — | 2011 | → |
| MAOA, DBH, and SLC6A4 variants in CHARGE: a case-control study of autism spectrum disorders. | Tassone F et al. | — | 2011 | → |
| Microduplications in an autism multiplex family narrow the region of susceptibility for developmental disorders on 15q24 and implicate 7p21. | Cukier HN et al. | — | 2011 | → |
| No association between a common single nucleotide polymorphism, rs4141463, in the MACROD2 gene and autism spectrum disorder. | Curran S et al. | — | 2011 | → |
| Novel autism subtype-dependent genetic variants are revealed by quantitative trait and subphenotype association analyses of published GWAS data. | Hu VW et al. | — | 2011 | → |
| Residential proximity to freeways and autism in the CHARGE study. | Volk HE et al. | — | 2011 | → |
| Systematic resequencing of X-chromosome synaptic genes in autism spectrum disorder and schizophrenia. | Piton A et al. | — | 2011 | → |
| Toward personalized medicine in the neuropsychiatric field. | Wong EH et al. | — | 2011 | → |
| Accuracy of phenotyping of autistic children based on Internet implemented parent report. | Lee H et al. | — | 2010 | → |
| A genome-wide association study of social and non-social autistic-like traits in the general population using pooled DNA, 500 K SNP microarrays and both community and diagnosed autism replication samples. | Ronald A et al. | — | 2010 | → |
| A genome-wide scan for common alleles affecting risk for autism. | Anney R et al. | — | 2010 | → |
| Association between a high-risk autism locus on 5p14 and social communication spectrum phenotypes in the general population. | St Pourcain B et al. | — | 2010 | → |
| CAPL: a novel association test using case-control and family data and accounting for population stratification. | Chung RH et al. | — | 2010 | → |
| Genetics in psychiatry: common variant association studies. | Buxbaum JD et al. | — | 2010 | → |
| Genetics of autistic disorders: review and clinical implications. | Freitag CM et al. | — | 2010 | → |
| Genome-wide association studies: a powerful tool for neurogenomics. | Cowperthwaite MC et al. | — | 2010 | → |
| miRNA genes and the brain: implications for psychiatric disorders. | Forero DA et al. | — | 2010 | → |
| Novel variants identified in methyl-CpG-binding domain genes in autistic individuals. | Cukier HN et al. | — | 2010 | → |
| Parent-of-origin effects in autism identified through genome-wide linkage analysis of 16,000 SNPs. | Fradin D et al. | — | 2010 | → |
| Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder. | Rommelse NN et al. | — | 2010 | → |
| Strategies for genetic studies of complex diseases. | Wang K et al. | — | 2010 | → |
| Variants in several genomic regions associated with asperger disorder. | Salyakina D et al. | — | 2010 | → |
| Whole genome association studies in complex diseases: where do we stand? | Need AC et al. | — | 2010 | → |
| Common genetic variants on 5p14.1 associate with autism spectrum disorders. | Wang K et al. | — | 2009 | → |
| Copy-number variants in neurodevelopmental disorders: promises and challenges. | Merikangas AK et al. | — | 2009 | → |
| Examination of tetrahydrobiopterin pathway genes in autism. | Schnetz-Boutaud NC et al. | — | 2009 | → |
| Identification of chromosome 7 inversion breakpoints in an autistic family narrows candidate region for autism susceptibility. | Cukier HN et al. | — | 2009 | → |