title: A genome-wide scan of 1842 DNA markers for allelic associations with general cognitive ability: a five-stage design using DNA pooling and extreme selected groups.
abstract: All measures of cognitive processes correlate moderately at the phenotypic level and correlate substantially at the genetic level. General cognitive ability (g) refers to what diverse cognitive processes have in common. Our goal is to identify quantitative trait loci (QTLs) associated with high g compared with average g. In order to detect QTLs of small effect size, we used extreme selected samples and a five-stage design with nominal alpha levels that permit false positive results in early stages but remove false positives in later stages. As a first step toward a systematic genome scan for allelic association, we used DNA pooling to screen 1842 simple sequence repeat (SSR) markers approximately evenly spaced at 2 cM throughout the genome in a five-stage design: (1) case-control DNA pooling (101 cases with mean IQ of 136 and 101 controls with mean IQ of 100), (2) case-control DNA pooling (96 cases with IQ > 160 and 100 controls with mean IQ of 102), (3) individual genotyping of Stage 1 sample, (4) individual genotyping of Stage 2 sample, (5) transmission disequilibrium test (TDT; 196 parent-child trios for offspring with IQ > 160). The over all Type I error rate is 0.000125, which robustly protects against false positive results. The numbers of markers surviving each stage using a conservative allele-specific directional test were 108, 6, 4, 2, and 0, respectively, for the five stages. A genomic control test using DNA pooling suggested that the failure to replicate the positive case-control results in the TDT analysis was not due to ethnic stratification. Several markers that were close to significance at all stages are being investigated further. Relying on indirect association based on linkage disequilibrium between markers and QTLs means that 100,000 markers may be needed to exclude QTL associations. Because power drops off precipitously for indirect association approaches when a marker is not close to the QTL, we are not planning to genotype additional SSR markers. Instead we are using the same design to screen markers such as cSNPs and SNPs in regulatory regions that are likely to include functional polymorphisms in which the marker can be presumed to be the QTL.
authors.affiliation: Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College London, UK. r.plomin@iop.kcl.ac.uk
authors.forename: R
authors.initials: R
authors.lastname: Plomin
authors.forename: L
authors.initials: L
authors.lastname: Hill
authors.forename: I W
authors.initials: IW
authors.lastname: Craig
authors.forename: P
authors.initials: P
authors.lastname: McGuffin
authors.forename: S
authors.initials: S
authors.lastname: Purcell
authors.forename: P
authors.initials: P
authors.lastname: Sham
authors.forename: D
authors.initials: D
authors.lastname: Lubinski
authors.forename: L A
authors.initials: LA
authors.lastname: Thompson
authors.forename: P J
authors.initials: PJ
authors.lastname: Fisher
authors.forename: D
authors.initials: D
authors.lastname: Turic
authors.forename: M J
authors.initials: MJ
authors.lastname: Owen
mesh_terms: D000293:Adolescent; D000483:Alleles; D016022:Case-Control Studies; D002648:Child; D005260:Female; D005788:Gene Pool; D005819:Genetic Markers / Q000235:genetics*; D005820:Genetic Testing; D015894:Genome, Human; D006801:Humans; D007360:Intelligence / Q000235:genetics*; D008297:Male; D009820:Ohio; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers