Literature DB >> 30379395

A QTL on chromosome 3q23 influences processing speed in humans.

Emma E M Knowles1, Samuel R Mathias1, Josephine Mollon1, Amanda Rodrigue1, Marinka M G Koenis1, Thomas D Dyer2, Harald H H Goring2, Joanne E Curran2, Rene L Olvera3, Ravi Duggirala2, Laura Almasy4,5, John Blangero2, David C Glahn1,6.   

Abstract

Processing speed is a psychological construct that refers to the speed with which an individual can perform any cognitive operation. Processing speed correlates strongly with general cognitive ability, declines sharply with age and is impaired across a number of neurological and psychiatric disorders. Thus, identifying genes that influence processing speed will likely improve understanding of the genetics of intelligence, biological aging and the etiologies of numerous disorders. Previous genetics studies of processing speed have relied on simple phenotypes (eg, mean reaction time) derived from single tasks. This strategy assumes, erroneously, that processing speed is a unitary construct. In the present study, we aimed to characterize the genetic architecture of processing speed by using a multidimensional model applied to a battery of cognitive tasks. Linkage and QTL-specific association analyses were performed on the factors from this model. The randomly ascertained sample comprised 1291 Mexican-American individuals from extended pedigrees. We found that performance on all three distinct processing-speed factors (Psychomotor Speed; Sequencing and Shifting and Verbal Fluency) were moderately and significantly heritable. We identified a genome-wide significant quantitative trait locus (QTL) on chromosome 3q23 for Psychomotor Speed (LOD = 4.83). Within this locus, we identified a plausible and interesting candidate gene for Psychomotor Speed (Z = 2.90, P = 1.86 × 10-03 ).
© 2018 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

Entities:  

Keywords:  association; cognition; genetics; linkage; processing speed

Mesh:

Year:  2018        PMID: 30379395      PMCID: PMC6458095          DOI: 10.1111/gbb.12530

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  79 in total

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5.  Gaussian models for genetic linkage analysis using complete high-resolution maps of identity by descent.

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7.  Facial emotion recognition in schizophrenia: intensity effects and error pattern.

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8.  Overlooking the obvious: a meta-analytic comparison of digit symbol coding tasks and other cognitive measures in schizophrenia.

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9.  Whole genome association scan for genetic polymorphisms influencing information processing speed.

Authors:  Michelle Luciano; Narelle K Hansell; Jari Lahti; Gail Davies; Sarah E Medland; Katri Räikkönen; Albert Tenesa; Elisabeth Widen; Kevin A McGhee; Aarno Palotie; David Liewald; David J Porteous; John M Starr; Grant W Montgomery; Nicholas G Martin; Johan G Eriksson; Margaret J Wright; Ian J Deary
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10.  Genetic effects on gene expression across human tissues.

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Journal:  Nature       Date:  2017-10-11       Impact factor: 49.962

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