scholarly journals The Dyslexia Candidate Locus on 2p12 Is Associated with General Cognitive Ability and White Matter Structure

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e50321 ◽  
Author(s):  
Thomas S. Scerri ◽  
Fahimeh Darki ◽  
Dianne F. Newbury ◽  
Andrew J. O. Whitehouse ◽  
Myriam Peyrard-Janvid ◽  
...  
2014 ◽  
Vol 221 (2) ◽  
pp. 1189-1203 ◽  
Author(s):  
Sean C. L. Deoni ◽  
Jonathan O’Muircheartaigh ◽  
Jed T. Elison ◽  
Lindsay Walker ◽  
Ellen Doernberg ◽  
...  

Author(s):  
Sarah E. Harris ◽  
Stuart J Ritchie ◽  
Gonçalo D S Correia ◽  
Beatriz Jiménez ◽  
Chloe Fawns-Ritchie ◽  
...  

AbstractIdentifying predictors of cognitive ability and brain structure in later life is an important step towards understanding the mechanisms leading to cognitive decline and dementia. This study used ultra-performance liquid chromatography mass spectrometry (UPLC-MS) and nuclear magnetic resonance (NMR) to measure targeted and untargeted metabolites, mainly lipids and lipoproteins, in ∼600 members of the Lothian Birth Cohort 1936 (LBC1936) at aged ∼73 years. Penalized regression models (LASSO) were then used to identify sets of metabolites that predict variation in general cognitive ability and structural brain variables. UPLC-MS-POS measured lipids, together predicted 19% of the variance in total brain volume and 17% of the variance in both grey matter and normal appearing white matter volumes. Multiple subclasses of lipids were included in the predictor, but the best performing lipid was the sphingomyelin SM(d18:2/14:0) which occurred in 100% of iterations of all three significant models. No metabolite set predicted cognitive ability, or white matter hyperintensities or connectivity. Future studies should concentrate on identifying specific lipids as potential cognitive and brain-structural biomarkers in older individuals.


2007 ◽  
Vol 28 (3) ◽  
pp. 161-164 ◽  
Author(s):  
Rosalind Arden ◽  
Nicole Harlaar ◽  
Robert Plomin

Abstract. An association between intelligence at age 7 and a set of five single-nucleotide polymorphisms (SNPs) has been identified and replicated. We used this composite SNP set to investigate whether the associations differ between boys and girls for general cognitive ability at ages 2, 3, 4, 7, 9, and 10 years. In a longitudinal community sample of British twins aged 2-10 (n > 4,000 individuals), we found that the SNP set is more strongly associated with intelligence in males than in females at ages 7, 9, and 10 and the difference is significant at 10. If this finding replicates in other studies, these results will constitute the first evidence of the same autosomal genes acting differently on intelligence in the two sexes.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Piril Hepsomali ◽  
John A. Groeger

AbstractAccumulating evidence suggests that dietary interventions might have potential to be used as a strategy to protect against age-related cognitive decline and neurodegeneration, as there are associations between some nutrients, food groups, dietary patterns, and some domains of cognition. In this study, we aimed to conduct the largest investigation of diet and cognition to date, through systematically examining the UK Biobank (UKB) data to find out whether dietary quality and food groups play a role on general cognitive ability. This cross-sectional population-based study involved 48,749 participants. UKB data on food frequency questionnaire and cognitive function were used. Also, healthy diet, partial fibre intake, and milk intake scores were calculated. Adjusted models included age, sex, and BMI. We observed associations between better general cognitive ability and higher intakes of fish, and unprocessed red meat; and moderate intakes of fibre, and milk. Surprisingly, we found that diet quality, vegetable intake, high and low fibre and milk intake were inversely associated with general cognitive ability. Our results suggest that fish and unprocessed red meat and/or nutrients that are found in fish and unprocessed red meat might be beneficial for general cognitive ability. However, results should be interpreted in caution as the same food groups may affect other domains of cognition or mental health differently. These discrepancies in the current state of evidence invites further research to examine domain-specific effects of dietary patterns/food groups on a wide range of cognitive and affective outcomes with a special focus on potential covariates that may have an impact on diet and cognition relationship.


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