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A Genomewide Scan for Intelligence Identifies Quantitative Trait Loci on 2q and 6p

Overview of attention for article published in American Journal of Human Genetics, July 2005
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Title
A Genomewide Scan for Intelligence Identifies Quantitative Trait Loci on 2q and 6p
Published in
American Journal of Human Genetics, July 2005
DOI 10.1086/432647
Pubmed ID
Authors

Danielle Posthuma, Michelle Luciano, Eco J. C. de Geus, Margie J. Wright, P. Eline Slagboom, Grant W. Montgomery, Dorret I. Boomsma, Nicholas G. Martin

Abstract

Between 40% and 80% of the variation in human intelligence (IQ) is attributable to genetic factors. Except for many rare mutations resulting in severe cognitive dysfunction, attempts to identify these factors have not been successful. We report a genomewide linkage scan involving 634 sibling pairs designed to identify chromosomal regions that explain variation in IQ. Model-free multipoint linkage analysis revealed evidence of a significant quantitative-trait locus for performance IQ at 2q24.1-31.1 (LOD score 4.42), which overlaps the 2q21-33 region that has repeatedly shown linkage to autism. A second region revealed suggestive linkage for both full-scale and verbal IQs on 6p25.3-22.3 (LOD score 3.20 for full-scale IQ and 2.33 for verbal IQ), overlapping marginally with the 6p22.3-21.31 region implicated in reading disability and dyslexia.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Spain 2 2%
Australia 1 1%
Mexico 1 1%
United Kingdom 1 1%
China 1 1%
Japan 1 1%
Unknown 83 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Professor 14 15%
Student > Ph. D. Student 11 12%
Student > Bachelor 7 8%
Professor > Associate Professor 7 8%
Other 27 29%
Unknown 7 8%
Readers by discipline Count As %
Psychology 25 27%
Agricultural and Biological Sciences 22 24%
Medicine and Dentistry 12 13%
Biochemistry, Genetics and Molecular Biology 9 10%
Neuroscience 5 5%
Other 11 12%
Unknown 8 9%