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

Richard Anney | Lambertus Klei | Dalila Pinto | Regina Regan | Judith Conroy | Tiago R Magalhaes | Catarina Correia | Brett S Abrahams | Nuala Sykes | Alistair T Pagnamenta | Joana Almeida | Elena Bacchelli | Anthony J Bailey | Gillian Baird | Agatino Battaglia | Tom Berney | Nadia Bolshakova | Sven Bölte | Patrick F Bolton | Thomas Bourgeron | Sean Brennan | Jessica Brian | Andrew R Carson | Guillermo Casallo | Jillian Casey | Su H Chu | Lynne Cochrane | Christina Corsello | Emily L Crawford | Andrew Crossett | Geraldine Dawson | Maretha de Jonge | Richard Delorme | Irene Drmic | Eftichia Duketis | Frederico Duque | Annette Estes | Penny Farrar | Bridget A Fernandez | Susan E Folstein | Eric Fombonne | Christine M Freitag | John Gilbert | Christopher Gillberg | Joseph T Glessner | Jeremy Goldberg | Jonathan Green | Stephen J Guter | Hakon Hakonarson | Elizabeth A Heron | Matthew Hill | Richard Holt | Jennifer L Howe | Gillian Hughes | Vanessa Hus | Roberta Igliozzi | Cecilia Kim | Sabine M Klauck | Alexander Kolevzon | Olena Korvatska | Vlad Kustanovich | Clara M Lajonchere | Janine A Lamb | Magdalena Laskawiec | Marion Leboyer | Ann Le Couteur | Bennett L Leventhal | Anath C Lionel | Xiao-Qing Liu | Catherine Lord | Linda Lotspeich | Sabata C Lund | Elena Maestrini | William Mahoney | Carine Mantoulan | Christian R Marshall | Helen McConachie | Christopher J McDougle | Jane McGrath | William M McMahon | Nadine M Melhem | Alison Merikangas | Ohsuke Migita | Nancy J Minshew | Ghazala K Mirza | Jeff Munson | Stanley F Nelson | Carolyn Noakes | Abdul Noor | Gudrun Nygren | Guiomar Oliveira | Katerina Papanikolaou | Jeremy R Parr | Barbara Parrini | Tara Paton | Andrew Pickles | Joseph Piven | David J Posey | Annemarie Poustka | Fritz Poustka | Aparna Prasad | Jiannis Ragoussis | Katy Renshaw | Jessica Rickaby | Wendy Roberts | Kathryn Roeder | Bernadette Roge | Michael L Rutter | Laura J Bierut | John P Rice | Jeff Salt | Katherine Sansom | Daisuke Sato | Ricardo Segurado | Lili Senman | Naisha Shah | Val C Sheffield | Latha Soorya | Inês Sousa | Vera Stoppioni | Christina Strawbridge | Raffaella Tancredi | Katherine Tansey | Bhooma Thiruvahindrapduram | Ann P Thompson | Susanne Thomson | Ana Tryfon | John Tsiantis | Herman Van Engeland | John B Vincent | Fred Volkmar | Simon Wallace | Kai Wang | Zhouzhi Wang | Thomas H Wassink | Kirsty Wing | Kerstin Wittemeyer | Shawn Wood | Brian L Yaspan | Danielle Zurawiecki | Lonnie Zwaigenbaum | Catalina Betancur | Joseph D Buxbaum | Rita M Cantor | Edwin H Cook | Hilary Coon | Michael L Cuccaro | Louise Gallagher | Daniel H Geschwind | Michael Gill | Jonathan L Haines | Judith Miller | Anthony P Monaco | John I Nurnberger | Andrew D Paterson | Margaret A Pericak-Vance | Gerard D Schellenberg | Stephen W Scherer | James S Sutcliffe | Peter Szatmari | Astrid M Vicente | Veronica J Vieland | Ellen M Wijsman | Bernie Devlin | Sean Ennis | Joachim Hallmayer
Human molecular genetics | 2010

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 × 10(-8). 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(-8) 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.

Pubmed ID: 20663923 RIS Download

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: NS049261
  • Agency: Howard Hughes Medical Institute, United States
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469-06
  • Agency: Autism Speaks, United States
    Id: AS7462
  • Agency: NICHD NIH HHS, United States
    Id: HD055784
  • Agency: NIMH NIH HHS, United States
    Id: MH057881
  • Agency: NIMH NIH HHS, United States
    Id: MH06359
  • Agency: NIDA NIH HHS, United States
    Id: R01 DA019963-03
  • Agency: NICHD NIH HHS, United States
    Id: P50 HD055751-03
  • Agency: NIMH NIH HHS, United States
    Id: K01 MH077930
  • Agency: NICHD NIH HHS, United States
    Id: P50 HD055782
  • Agency: NIMH NIH HHS, United States
    Id: MH066673
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469-10
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG004422-02
  • Agency: NIMH NIH HHS, United States
    Id: MH077930
  • Agency: NIAAA NIH HHS, United States
    Id: U10 AA008401
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469-09
  • Agency: NIMH NIH HHS, United States
    Id: MH55284
  • Agency: NIMH NIH HHS, United States
    Id: MH080647
  • Agency: NIMH NIH HHS, United States
    Id: MH061009
  • Agency: NICHD NIH HHS, United States
    Id: HD055782
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469
  • Agency: NIMH NIH HHS, United States
    Id: MH081754
  • Agency: Medical Research Council, United Kingdom
    Id: G0601030
  • Agency: NIMH NIH HHS, United States
    Id: T32 MH065215
  • Agency: CIHR, Canada
  • Agency: NIMH NIH HHS, United States
    Id: MH66766
  • Agency: Wellcome Trust, United Kingdom
    Id: 075491/Z/04 UK
  • Agency: NIMH NIH HHS, United States
    Id: MH52708
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH057881
  • Agency: NINDS NIH HHS, United States
    Id: NS042165
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG004422
  • Agency: NIDA NIH HHS, United States
    Id: R01 DA019963-02
  • Agency: NICHD NIH HHS, United States
    Id: P50 HD055751
  • Agency: NIDA NIH HHS, United States
    Id: R01 DA019963
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG004438
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG004446
  • Agency: NIDA NIH HHS, United States
    Id: R01 DA019963-01A2
  • Agency: NCI NIH HHS, United States
    Id: P01 CA089392
  • Agency: NINDS NIH HHS, United States
    Id: NS026630
  • Agency: NIDA NIH HHS, United States
    Id: R01 DA013423
  • Agency: NICHD NIH HHS, United States
    Id: HD35465
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469-08
  • Agency: NICHD NIH HHS, United States
    Id: U19 HD035469-07
  • Agency: NICHD NIH HHS, United States
    Id: HD055751

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Allen Institute for Brain Science (tool)

RRID:SCR_006491

Seattle based independent, nonprofit medical research organization dedicated to accelerating the understanding of how human brain works. Provides free data and tools to researchers and educators and variety of unique online public resources for exploring the nervous system. Integrates gene expression data and neuroanatomy, along with data search and viewing tools, these resources are openly accessible via the Allen Brain Atlas data portal. Provides Allen Mouse Brain, Allen Spinal Cord Atlas, Allen Developing Mouse Brain Atlas, Allen Human Brain Atlas,Allen Mouse Brain Connectivity Atlas, Allen Cell Type Database, The Ivy Glioblastoma Atlas Project (Ivy GAP), The BrainSpan Atlas of the Developing Human Brain.

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BEAGLE (tool)

RRID:SCR_001789

Software package for analysis of large-scale genetic data sets with hundreds of thousands of markers genotyped on thousands of samples. BEAGLE can * phase genotype data (i.e. infer haplotypes) for unrelated individuals, parent-offspring pairs, and parent-offspring trios. * infer sporadic missing genotype data. * impute ungenotyped markers that have been genotyped in a reference panel. * perform single marker and haplotypic association analysis. * detect genetic regions that are homozygous-by-descent in an individual or identical-by-descent in pairs of individuals. Beagle can also be used in conjunction with PRESTO, a program for fast and flexible permutation testing. PRESTO can compute empirical distributions of order statistics, analyze stratified data, and determine significance levels for one-stage and two-stage genetic association studies. BEAGLE is written in Java and runs on any computing platform with a Java version 1.6 interpreter (e.g. Windows, Unix, Linux, Solaris, Mac).

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