| Title |
A Three-Stage Genome-Wide Association Study of General Cognitive Ability: Hunting the Small Effects
|
|---|---|
| Published in |
Behavior Genetics, March 2010
|
| DOI | 10.1007/s10519-010-9350-4 |
| Pubmed ID | |
| 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 |
| Abstract |
Childhood general cognitive ability (g) is important for a wide range of outcomes in later life, from school achievement to occupational success and life expectancy. Large-scale association studies will be essential in the quest to identify variants that make up the substantial genetic component implicated by quantitative genetic studies. We conducted a three-stage genome-wide association study for general cognitive ability using over 350,000 single nucleotide polymorphisms (SNPs) in the quantitative extremes of a population sample of 7,900 7-year-old children from the UK Twins Early Development Study. Using two DNA pooling stages to enrich true positives, each of around 1,000 children selected from the extremes of the distribution, and a third individual genotyping stage of over 3,000 children to test for quantitative associations across the normal range, we aimed to home in on genes of small effect. Genome-wide results suggested that our approach was successful in enriching true associations and 28 SNPs were taken forward to individual genotyping in an unselected population sample. However, although we found an enrichment of low P values and identified nine SNPs nominally associated with g (P < 0.05) that show interesting characteristics for follow-up, further replication will be necessary to meet rigorous standards of association. These replications may take advantage of SNP sets to overcome limitations of statistical power. Despite our large sample size and three-stage design, the genes associated with childhood g remain tantalizingly beyond our current reach, providing further evidence for the small effect sizes of individual loci. Larger samples, denser arrays and multiple replications will be necessary in the hunt for the genetic variants that influence human cognitive ability. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 3 | 4% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 71 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 21% |
| Student > Master | 13 | 16% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Doctoral Student | 6 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 19 | 24% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 26 | 33% |
| Agricultural and Biological Sciences | 19 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Medicine and Dentistry | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2013.
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#1,596,880
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Outputs of similar age from Behavior Genetics
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