Literature DB >> 15800012

SNPs, microarrays and pooled DNA: identification of four loci associated with mild mental impairment in a sample of 6000 children.

Lee M Butcher1, Emma Meaburn, Jo Knight, Pak C Sham, Leonard C Schalkwyk, Ian W Craig, Robert Plomin.   

Abstract

Mild mental impairment (MMI) represents the low extreme of the quantitative trait of general intelligence and is highly heritable. Quantitative trait loci (QTLs) conferring susceptibility to MMI, as for most complex traits, are likely to be of small effect size. Using a novel approach we call SNP-MaP (SNP Microarrays and Pooling), we have identified four loci associated with MMI. These four loci have been replicated in two SNP-MaP studies and verified by individual genotyping. The two SNP-MaP studies conducted were a case versus control comparison (n = 515 and n = 1028, respectively) and a low versus high general intelligence extremes group comparison (n = 503 and n = 505, respectively). Each of the four groups consisted of five independent 'subpools', with each subpool assayed on a separate microarray. Twelve loci showing the largest significant differences in both SNP-MaP studies were individually genotyped on 6154 children. Of the four loci positively associated with MMI, the minor allele of each conferred the greater risk for MMI. Two of the loci are close to known genes and may be in linkage disequilibrium with them. One of the loci is between the candidate genes KLF7 and CREB1, but given possible long-range effects on expression and the unknown importance of untranslated elements such as micro-RNAs, all four loci deserve attention as candidates. Although each SNP accounts for a small amount of variance, their effects are additive and they can be combined in a 'SNP set' that can be used as a genetic risk index for MMI in behavioral genomic analyses.

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Year:  2005        PMID: 15800012     DOI: 10.1093/hmg/ddi142

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  36 in total

1.  Identification of the genetic basis for complex disorders by use of pooling-based genomewide single-nucleotide-polymorphism association studies.

Authors:  John V Pearson; Matthew J Huentelman; Rebecca F Halperin; Waibhav D Tembe; Stacey Melquist; Nils Homer; Marcel Brun; Szabolcs Szelinger; Keith D Coon; Victoria L Zismann; Jennifer A Webster; Thomas Beach; Sigrid B Sando; Jan O Aasly; Reinhard Heun; Frank Jessen; Heike Kolsch; Magdalini Tsolaki; Makrina Daniilidou; Eric M Reiman; Andreas Papassotiropoulos; Michael L Hutton; Dietrich A Stephan; David W Craig
Journal:  Am J Hum Genet       Date:  2006-12-06       Impact factor: 11.025

2.  A whole genome association study of neuroticism using DNA pooling.

Authors:  S Shifman; A Bhomra; S Smiley; N R Wray; M R James; N G Martin; J M Hettema; S S An; M C Neale; E J C G van den Oord; K S Kendler; X Chen; D I Boomsma; C M Middeldorp; J J Hottenga; P E Slagboom; J Flint
Journal:  Mol Psychiatry       Date:  2007-07-31       Impact factor: 15.992

Review 3.  A generic research paradigm for identification and validation of early molecular diagnostics and new therapeutics in common disorders.

Authors:  Keith D Coon; Travis L Dunckley; Dietrich A Stephan
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

4.  A comparison of association statistics between pooled and individual genotypes.

Authors:  Jo Knight; Scott F Saccone; Zhehao Zhang; Dennis G Ballinger; John P Rice
Journal:  Hum Hered       Date:  2009-01-27       Impact factor: 0.444

Review 5.  "Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Oluwatosin O Fatusin; Qing-Rong Liu; Carlo Contoreggi; Chuan-Yun Li; Kari Buck; John Crabbe
Journal:  Biochem Pharmacol       Date:  2007-07-25       Impact factor: 5.858

Review 6.  Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Chuan-Yun Li; Carlo Contoreggi; Judith Hess; Daniel Naiman; Qing-Rong Liu
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

Review 7.  Microarrays.

Authors:  Robert Plomin; Leonard C Schalkwyk
Journal:  Dev Sci       Date:  2007-01

8.  Human intelligence and polymorphisms in the DNA methyltransferase genes involved in epigenetic marking.

Authors:  Paul Haggarty; Gwen Hoad; Sarah E Harris; John M Starr; Helen C Fox; Ian J Deary; Lawrence J Whalley
Journal:  PLoS One       Date:  2010-06-25       Impact factor: 3.240

9.  Genome wide association for addiction: replicated results and comparisons of two analytic approaches.

Authors:  Tomas Drgon; Ping-Wu Zhang; Catherine Johnson; Donna Walther; Judith Hess; Michelle Nino; George R Uhl
Journal:  PLoS One       Date:  2010-01-21       Impact factor: 3.240

10.  A genome-wide association study identifies multiple loci associated with mathematics ability and disability.

Authors:  S J Docherty; O S P Davis; Y Kovas; E L Meaburn; P S Dale; S A Petrill; L C Schalkwyk; R Plomin
Journal:  Genes Brain Behav       Date:  2009-11-10       Impact factor: 3.449

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