Genetic variation, brain, and intelligence differences

被引:62
作者
Deary, Ian J. [1 ]
Cox, Simon R. [1 ]
Hill, W. David [1 ]
机构
[1] Univ Edinburgh, Lothian Birth Cohorts Grp, Dept Psychol, 7 George Sq, Edinburgh EH8 9JZ, Midlothian, Scotland
基金
英国医学研究理事会; 美国国家卫生研究院;
关键词
GENOME-WIDE ASSOCIATION; WHITE-MATTER MICROSTRUCTURE; GENERAL COGNITIVE FUNCTION; CORTICAL THICKNESS; INDIVIDUAL-DIFFERENCES; POSITIVE ASSOCIATION; EXECUTIVE FUNCTIONS; CEREBRAL-CORTEX; METAANALYSIS; ABILITY;
D O I
10.1038/s41380-021-01027-y
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Individual differences in human intelligence, as assessed using cognitive test scores, have a well-replicated, hierarchical phenotypic covariance structure. They are substantially stable across the life course, and are predictive of educational, social, and health outcomes. From this solid phenotypic foundation and importance for life, comes an interest in the environmental, social, and genetic aetiologies of intelligence, and in the foundations of intelligence differences in brain structure and functioning. Here, we summarise and critique the last 10 years or so of molecular genetic (DNA-based) research on intelligence, including the discovery of genetic loci associated with intelligence, DNA-based heritability, and intelligence's genetic correlations with other traits. We summarise new brain imaging-intelligence findings, including whole-brain associations and grey and white matter associations. We summarise regional brain imaging associations with intelligence and interpret these with respect to theoretical accounts. We address research that combines genetics and brain imaging in studying intelligence differences. There are new, though modest, associations in all these areas, and mechanistic accounts are lacking. We attempt to identify growing points that might contribute toward a more integrated 'systems biology' account of some of the between-individual differences in intelligence.
引用
收藏
页码:335 / 353
页数:19
相关论文
共 148 条
[1]   Hippocampal-anterior thalamic pathways for memory: uncovering a network of direct and indirect actions [J].
Aggleton, John P. ;
O'Mara, Shane M. ;
Vann, Seralynne D. ;
Wright, Nick F. ;
Tsanov, Marian ;
Erichsen, Jonathan T. .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2010, 31 (12) :2292-2307
[2]   Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study [J].
Anderson, Emma L. ;
Howe, Laura D. ;
Wade, Kaitlin H. ;
Ben-Shlomo, Yoav ;
Hill, W. David ;
Deary, Ian J. ;
Sanderson, Eleanor C. ;
Zheng, Jie ;
Korologou-Linden, Roxanna ;
Stergiakouli, Evie ;
Smith, George Davey ;
Davies, Neil M. ;
Hemani, Gibran .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2020, 49 (04) :1163-1172
[3]   An integrative architecture for general intelligence and executive function revealed by lesion mapping [J].
Barbey, Aron K. ;
Colom, Roberto ;
Solomon, Jeffrey ;
Krueger, Frank ;
Forbes, Chad ;
Grafman, Jordan .
BRAIN, 2012, 135 :1154-1164
[4]   Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence [J].
Basten, Ulrike ;
Hilger, Kirsten ;
Fiebach, Christian J. .
INTELLIGENCE, 2015, 51 :10-27
[5]   Whole-brain white matter organization, intelligence, and educational attainment [J].
Bathelt, J. ;
Scerif, G. ;
Nobre, A. C. ;
Astle, D. E. .
TRENDS IN NEUROSCIENCE AND EDUCATION, 2019, 15 :38-47
[6]  
Boring E.G., 1923, NEW REPUBLIC, P35
[7]  
Brumpton B., Within-family studies for Mendelian randomization: avoiding dynastic, assortative mating, and population stratification biases, DOI [DOI 10.1038/S41467-020-17117-4, 10.1101/602516, DOI 10.1101/602516]
[8]   The effect of network thresholding and weighting on structural brain networks in the UK Biobank [J].
Buchanan, Colin R. ;
Bastin, Mark E. ;
Ritchie, Stuart J. ;
Liewald, David C. ;
Madole, James W. ;
Tucker-Drob, Elliot M. ;
Deary, Ian J. ;
Cox, Simon R. .
NEUROIMAGE, 2020, 211
[9]   Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents [J].
Burgaleta, Miguel ;
Johnson, Wendy ;
Waber, Deborah P. ;
Colom, Roberto ;
Karama, Sherif .
NEUROIMAGE, 2014, 84 :810-819
[10]   Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study [J].
Calvin, Catherine M. ;
Batty, G. David ;
Der, Geoff ;
Brett, Caroline E. ;
Taylor, Adele ;
Pattie, Alison ;
Cukic, Iva ;
Deary, Ian J. .
BMJ-BRITISH MEDICAL JOURNAL, 2017, 357