Literature DB >> 17684495

Quantitative trait locus association scan of early reading disability and ability using pooled DNA and 100K SNP microarrays in a sample of 5760 children.

E L Meaburn1, N Harlaar, I W Craig, L C Schalkwyk, R Plomin.   

Abstract

Quantitative genetic research suggests that reading disability is the quantitative extreme of the same genetic and environmental factors responsible for normal variation in reading ability. This finding warrants a quantitative trait locus (QTL) strategy that compares low versus high extremes of the normal distribution of reading in the search for QTLs associated with variation throughout the distribution. A low reading ability group (N=755) and a high reading group (N=747) were selected from a representative UK sample of 7-year-olds assessed on two measures of reading that we have shown to be highly heritable and highly genetically correlated. The low and high reading ability groups were each divided into 10 independent DNA pools and the 20 pools were assayed on 100 K single nucleotide polymorphism (SNP) microarrays to screen for the largest allele frequency differences between the low and high reading ability groups. Seventy five of these nominated SNPs were individually genotyped in an independent sample of low (N=452) and high (N=452) reading ability children selected from a second sample of 4258 7-year-olds. Nine of the seventy-five SNPs were nominally significant (P<0.05) in the predicted direction. These 9 SNPs and 14 other SNPs showing low versus high allele frequency differences in the predicted direction were genotyped in the rest of the second sample to test the QTL hypothesis. Ten SNPs yielded nominally significant linear associations in the expected direction across the distribution of reading ability. However, none of these SNP associations accounted for more than 0.5% of the variance of reading ability, despite 99% power to detect them. We conclude that QTL effect sizes, even for highly heritable common disorders and quantitative traits such as early reading disability and ability, might be much smaller than previously considered.

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Year:  2007        PMID: 17684495     DOI: 10.1038/sj.mp.4002063

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  48 in total

1.  Gene-by-environment experiments: a new approach to finding the missing heritability.

Authors:  Marinus H van Ijzendoorn; Marian J Bakermans-Kranenburg; Jay Belsky; Steven Beach; Gene Brody; Kenneth A Dodge; Mark Greenberg; Michael Posner; Stephen Scott
Journal:  Nat Rev Genet       Date:  2011-11-18       Impact factor: 53.242

2.  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

3.  [Genetic aspects of cognitive abilities across the life span].

Authors:  F Poustka; W Maier
Journal:  Nervenarzt       Date:  2009-11       Impact factor: 1.214

4.  Parental education moderates genetic influences on reading disability.

Authors:  Angela Friend; John C DeFries; Richard K Olson
Journal:  Psychol Sci       Date:  2008-11

5.  Reading and Generalist Genes.

Authors:  Claire M A Haworth; Emma L Meaburn; Nicole Harlaar; Robert Plomin
Journal:  Mind Brain Educ       Date:  2007-12

Review 6.  The impact of genetic research on our understanding of normal cognitive ageing: 1995 to 2009.

Authors:  Antony Payton
Journal:  Neuropsychol Rev       Date:  2009-09-19       Impact factor: 7.444

7.  A family-based association analysis and meta-analysis of the reading disabilities candidate gene DYX1C1.

Authors:  C Tran; F Gagnon; K G Wigg; Y Feng; L Gomez; T D Cate-Carter; E N Kerr; L L Field; B J Kaplan; M W Lovett; C L Barr
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-01-22       Impact factor: 3.568

Review 8.  Genetics of developmental dyslexia.

Authors:  Thomas S Scerri; Gerd Schulte-Körne
Journal:  Eur Child Adolesc Psychiatry       Date:  2009-11-29       Impact factor: 4.785

9.  Generalist genes and high cognitive abilities.

Authors:  Claire M A Haworth; Philip S Dale; Robert Plomin
Journal:  Behav Genet       Date:  2009-04-18       Impact factor: 2.805

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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