Evidence map›Paper›PMID 21484201›Full record

ArticleJournal of neurodevelopmental disorders2011

Novel method for combined linkage and genome-wide association analysis finds evidence of distinct genetic architecture for two subtypes of autism.

Veronica J Vieland, Joachim Hallmayer, Yungui Huang, Alistair T Pagnamenta, Dalila Pinto, Hameed Khan, Anthony P Monaco, Andrew D Paterson, Stephen W Scherer, James S Sutcliffe and 2 more

Abstract read
In one paragraph

Article in Journal of neurodevelopmental disorders, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  16. Identification of genetic loci underlying the phenotypic constructs of autism spectrum disorders.Journal of the American Academy of Child and Adolescent Psychiatry · 2011
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Veronica J VielandBattelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital and The Ohio State University, Columbus, OH, 43205, USA, Veronica.Vieland@nationwidechildrens.org.
Joachim Hallmayer
Yungui Huang
Alistair T Pagnamenta
Dalila Pinto
Hameed Khan
Anthony P Monaco
Andrew D Paterson
Stephen W Scherer
James S Sutcliffe
Peter Szatmari
Autism Genome Project (AGP)

Funding

Understanding Repetitive Behavior in AutismP50HD055784 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOOKHEIMER, SUSAN Y · 2007 to 2021
$32.0M
A Comprehensive Approach to Identification of Autism Susceptibility GenesR01MH081754 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2008 to 2012
$14.6M
USE OF DNA PROBE FOR CHOLINERGIC AND NON-CHOLINERGIC MG ANTIGENP01NS026630 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PERICAK-VANCE, MARGARET A. · 1989 to 2009
$12.6M
UW Autism Center of ExcellenceP50HD055782 · NICHD · UNIVERSITY OF WASHINGTON · PI ABBOTT, ROBERT D · 2007 to 2011
$11.0M
TRANS STUDIES OF COGNITIVE,AFFECTIVE/NEUROCHEMICAL PROCESSES UNDERLYING INSISTENCP50HD055751 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI COOK, EDWIN H · 2007 to 2011
$9.5M
MANAGEMENT/STATISTICS COREU54MH066673 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BUXBAUM, JOSEPH D. · 2003 to 2007
$7.7M
Molecular and Genetic Epidemiology of AutismR01MH080647 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PERICAK-VANCE, MARGARET A. · 2007 to 2011
$5.9M
INFRASTRUCTURE TO FACILITATE DISCOVERY OF AUTISM GENESR01NS042165 · NINDS · TUFTS MEDICAL CENTER · PI HALLMAYER, JOACHIM F · 2002 to 2006
$4.2M
PRECURSORS TO LANGUAGE IN AUTISMP01HD035465 · NICHD · UNIVERSITY OF WASHINGTON · PI SCHELLENBERG, GERARD DAVID · 1997 to 2001
$3.5M
MOLECULAR GENETICS OF 15Q11-Q13 DEFECTS IN AUTISMR01MH061009 · NIMH · VANDERBILT UNIVERSITY · PI SUTCLIFFE, JAMES S · 2000 to 2008
$3.3M
RUPP-PIU10MH066766 · NIMH · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MCDOUGLE, CHRISTOPHER J · 2002 to 2006
$2.7M
Combining epidemiologic designs to model genetic risks for psychiatric disordersR01MH086117 · NIMH · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI VIELAND, VERONICA J. · 2009 to 2011
$2.7M
Medical Research Council G0601030NICHD NIH HHS P01 HD035465NICHD NIH HHS P50 HD055751NICHD NIH HHS P50 HD055782NICHD NIH HHS P50 HD055784NIMH NIH HHS R01 MH055284NIMH NIH HHS R01 MH061009NIMH NIH HHS R01 MH080647NIMH NIH HHS R01 MH081754NIMH NIH HHS R01 MH086117NIMH NIH HHS U10 MH066766NIMH NIH HHS U54 MH066673NINDS NIH HHS P01 NS026630NINDS NIH HHS R01 NS042165NINDS NIH HHS R01 NS049261Wellcome Trust 090532
6 · The paper itself

Abstract

The Autism Genome Project has assembled two large datasets originally designed for linkage analysis and genome-wide association analysis, respectively: 1,069 multiplex families genotyped on the Affymetrix 10 K platform, and 1,129 autism trios genotyped on the Illumina 1 M platform. We set out to exploit this unique pair of resources by analyzing the combined data with a novel statistical method, based on the PPL statistical framework, simultaneously searching for linkage and association to loci involved in autism spectrum disorders (ASD). Our analysis also allowed for potential differences in genetic architecture for ASD in the presence or absence of lower IQ, an important clinical indicator of ASD subtypes. We found strong evidence of multiple linked loci; however, association evidence implicating specific genes was low even under the linkage peaks. Distinct loci were found in the lower IQ families, and these families showed stronger and more numerous linkage peaks, while the normal IQ group yielded the strongest association evidence. It appears that presence/absence of lower IQ (LIQ) demarcates more genetically homogeneous subgroups of ASD patients, with not just different sets of loci acting in the two groups, but possibly distinct genetic architecture between them, such that the LIQ group involves more major gene effects (amenable to linkage mapping), while the normal IQ group potentially involves more common alleles with lower penetrances. The possibility of distinct genetic architecture across subtypes of ASD has implications for further research and perhaps for research approaches to other complex disorders as well.

Identifiers

PMID21484201
PMCPMC3105232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.