Literature DB >> 25744449

Exome sequencing to detect rare variants associated with general cognitive ability: a pilot study.

Michelle Luciano1, Victoria Svinti2, Archie Campbell3, Riccardo E Marioni1, Caroline Hayward2, Alan F Wright2, Martin S Taylor2, David J Porteous1, Pippa Thomson1, James G D Prendergast2, Nicholas D Hastie2, Susan M Farrington2, Generation Scotland4, Malcolm G Dunlop2, Ian J Deary1.   

Abstract

Variation in human cognitive ability is of consequence to a large number of health and social outcomes and is substantially heritable. Genetic linkage, genome-wide association, and copy number variant studies have investigated the contribution of genetic variation to individual differences in normal cognitive ability, but little research has considered the role of rare genetic variants. Exome sequencing studies have already met with success in discovering novel trait-gene associations for other complex traits. Here, we use exome sequencing to investigate the effects of rare variants on general cognitive ability. Unrelated Scottish individuals were selected for high scores on a general component of intelligence (g). The frequency of rare genetic variants (in n = 146) was compared with those from Scottish controls (total n = 486) who scored in the lower to middle range of the g distribution or on a proxy measure of g. Biological pathway analysis highlighted enrichment of the mitochondrial inner membrane component and apical part of cell gene ontology terms. Global burden analysis showed a greater total number of rare variants carried by high g cases versus controls, which is inconsistent with a mutation load hypothesis whereby mutations negatively affect g. The general finding of greater non-synonymous (vs. synonymous) variant effects is in line with evolutionary hypotheses for g. Given that this first sequencing study of high g was small, promising results were found, suggesting that the study of rare variants in larger samples would be worthwhile.

Entities:  

Keywords:  genetics

Mesh:

Year:  2015        PMID: 25744449     DOI: 10.1017/thg.2015.10

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  4 in total

1.  A Model of Compound Heterozygous, Loss-of-Function Alleles Is Broadly Consistent with Observations from Complex-Disease GWAS Datasets.

Authors:  Jaleal S Sanjak; Anthony D Long; Kevin R Thornton
Journal:  PLoS Genet       Date:  2017-01-19       Impact factor: 5.917

2.  Analysis of Association of Genetic Markers in the LUZP2 and FBXO40 Genes with the Normal Variability in Cognitive Performance in the Elderly.

Authors:  Vadim Stepanov; Kseniya Vagaitseva; Anna Bocharova; Andrey Marusin; Valentina Markova; Larisa Minaycheva; Oksana Makeeva
Journal:  Int J Alzheimers Dis       Date:  2018-04-19

3.  Genomic analysis of family data reveals additional genetic effects on intelligence and personality.

Authors:  W David Hill; Ruben C Arslan; Charley Xia; Michelle Luciano; Carmen Amador; Pau Navarro; Caroline Hayward; Reka Nagy; David J Porteous; Andrew M McIntosh; Ian J Deary; Chris S Haley; Lars Penke
Journal:  Mol Psychiatry       Date:  2018-01-10       Impact factor: 15.992

4.  A genome-wide analysis of putative functional and exonic variation associated with extremely high intelligence.

Authors:  S L Spain; I Pedroso; N Kadeva; M B Miller; W G Iacono; M McGue; E Stergiakouli; G Davey Smith; M Putallaz; D Lubinski; E L Meaburn; R Plomin; M A Simpson
Journal:  Mol Psychiatry       Date:  2015-08-04       Impact factor: 15.992

  4 in total

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