Literature DB >> 16341610

Genome-wide scan of IQ finds significant linkage to a quantitative trait locus on 2q.

M Luciano1, M J Wright, D L Duffy, M A Wainwright, G Zhu, D M Evans, G M Geffen, G W Montgomery, N G Martin.   

Abstract

A genome-wide linkage scan of 795 microsatellite markers (761 autosomal, 34 X chromosome) was performed on Multidimensional Aptitude Battery subtests and verbal, performance and full scale scores, the WAIS-R Digit Symbol subtest, and two word-recognition tests (Schonell Graded Word Reading Test, Cambridge Contextual Reading Test) highly predictive of IQ. The sample included 361 families comprising 2-5 siblings who ranged in age from 15.7 to 22.2 years; genotype, but not phenotype, data were available for 81% of parents. A variance components analysis which controlled for age and sex effects showed significant linkage for the Cambridge reading test and performance IQ to the same region on chromosome 2, with respective LOD scores of 4.15 and 3.68. Suggestive linkage (LOD score>2.2) for various measures was further supported on chromosomes 6, 7, 11, 14, 21 and 22. Where location of linkage peaks converged for IQ subtests within the same scale, the overall scale score provided increased evidence for linkage to that region over any individual subtest. Association studies of candidate genes, particularly those involved in neural transmission and development, will be directed to genes located under the linkage peaks identified in this study.

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Mesh:

Year:  2005        PMID: 16341610     DOI: 10.1007/s10519-005-9003-1

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  12 in total

1.  Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16.

Authors:  Nicola H Chapman; Annette Estes; Jeff Munson; Raphael Bernier; Sara J Webb; Joseph H Rothstein; Nancy J Minshew; Geraldine Dawson; Gerard D Schellenberg; Ellen M Wijsman
Journal:  Hum Genet       Date:  2010-10-21       Impact factor: 4.132

2.  Synergistic effects of genetic variation in nicotinic and muscarinic receptors on visual attention but not working memory.

Authors:  P M Greenwood; M-K Lin; R Sundararajan; K J Fryxell; R Parasuraman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-11       Impact factor: 11.205

Review 3.  Genetic foundations of human intelligence.

Authors:  Ian J Deary; W Johnson; L M Houlihan
Journal:  Hum Genet       Date:  2009-03-18       Impact factor: 4.132

4.  A three-stage genome-wide association study of general cognitive ability: hunting the small effects.

Authors:  Oliver S P Davis; Lee M Butcher; Sophia J Docherty; Emma L Meaburn; Charles J C Curtis; Michael A Simpson; Leonard C Schalkwyk; Robert Plomin
Journal:  Behav Genet       Date:  2010-03-21       Impact factor: 2.805

5.  A QTL on chromosome 3q23 influences processing speed in humans.

Authors:  Emma E M Knowles; Samuel R Mathias; Josephine Mollon; Amanda Rodrigue; Marinka M G Koenis; Thomas D Dyer; Harald H H Goring; Joanne E Curran; Rene L Olvera; Ravi Duggirala; Laura Almasy; John Blangero; David C Glahn
Journal:  Genes Brain Behav       Date:  2018-11-16       Impact factor: 3.449

6.  The ATXN1 and TRIM31 genes are related to intelligence in an ADHD background: evidence from a large collaborative study totaling 4,963 subjects.

Authors:  Thais S Rizzi; Alejandro Arias-Vasquez; Nanda Rommelse; Jonna Kuntsi; Richard Anney; Philip Asherson; Jan Buitelaar; Tobias Banaschewski; Richard Ebstein; Dina Ruano; Sophie Van der Sluis; Christina A Markunas; Melanie E Garrett; Allison E Ashley-Koch; Scott H Kollins; Arthur D Anastopoulos; Narelle K Hansell; Margaret J Wright; Grant W Montgomery; Nicholas G Martin; Sarah E Harris; Gail Davies; Albert Tenesa; David J Porteous; John M Starr; Ian J Deary; Beate St Pourcain; George Davey Smith; Nicholas J Timpson; David M Evans; Michael Gill; Ana Miranda; Fernando Mulas; Robert D Oades; Herbert Roeyers; Aribert Rothenberger; Joseph Sergeant; Edmund Sonuga-Barke; Hans Christoph Steinhausen; Eric Taylor; Stephen V Faraone; Barbara Franke; Danielle Posthuma
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-12-16       Impact factor: 3.568

7.  Genome-wide quantitative trait locus association scan of general cognitive ability using pooled DNA and 500K single nucleotide polymorphism microarrays.

Authors:  L M Butcher; O S P Davis; I W Craig; R Plomin
Journal:  Genes Brain Behav       Date:  2008-01-22       Impact factor: 3.449

8.  A systems biology approach to identify intelligence quotient score-related genomic regions, and pathways relevant to potential therapeutic treatments.

Authors:  Min Zhao; Lei Kong; Hong Qu
Journal:  Sci Rep       Date:  2014-02-25       Impact factor: 4.379

9.  No effect of genome-wide copy number variation on measures of intelligence in a New Zealand birth cohort.

Authors:  Andrew T M Bagshaw; L John Horwood; Youfang Liu; David M Fergusson; Patrick F Sullivan; Martin A Kennedy
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

10.  Genetic polymorphisms related to testosterone metabolism in intellectually gifted boys.

Authors:  Peter Celec; Denisa Tretinárová; Gabriel Minárik; Andrej Ficek; Tomáš Szemes; Silvia Lakatošová; Eva Schmidtová; Ján Turňa; Ľudevít Kádaši; Daniela Ostatníková
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

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