Molecular genetic aetiology of general cognitive function is enriched in evolutionarily conserved regions

Translational Psychiatry

Volumn 6, Issue 12, 2016, Pages

  Hill, W D ^a   Davies, G ^a   Harris, S E ^a   Hagenaars, S P ^a   Liewald, D C ^a   Penke, L ^a,b,c   Gale, C R ^a,d   Deary, Ian J ^a   Debette, Stephanie ^f,g,h   Verbaas, Carla I ⁱ   Bressler, Jan ^j   Schuur, Maaike ^i,l   Smith, Albert V ^m   Bis, Joshua C ^e,n   Bennett, David A ^o   Ikram, M Arfan ^i,p   Launer, Lenore J ^q   Fitzpatrick, Annette L ^r   Seshadri, Sudha ^f,l   Van Duijn, Cornelia M ^i,p   Mosley, Thomas H ^k   more..

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

^c LEIBNIZ SCIENCECAMPUS PRIMATE COGNITION   (Germany)

^d UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^e UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^f BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g UNIVERSITÉ DE BORDEAUX   (France)

^h BORDEAUX UNIVERSITY HOSPITAL   (France)

ⁱ ERASMUS MEDICAL CENTER   (Netherlands)

^j UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^k UNIVERSITY OF MISSISSIPPI MEDICAL CENTER   (United States)

^l FRAMINGHAM HEART STUDY   (United States)

^m ICELANDIC HEART ASSOCIATION   (Iceland)

ⁿ UNIVERSITY OF ICELAND   (Iceland)

^o RUSH UNIVERSITY MEDICAL CENTER   (United States)

^p Netherlands Consortium for Healthy Ageing   (Netherlands)

^q NATIONAL INSTITUTE ON AGING   (United States)

^r UNIVERSITY OF WASHINGTON   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

HISTONE;

ARTICLE; BIOBANK; COGNITION; GENE LINKAGE DISEQUILIBRIUM; GENOME; GENOME-WIDE ASSOCIATION STUDY; MOLECULAR GENETICS; PLEIOTROPY; SINGLE NUCLEOTIDE POLYMORPHISM; AGED; BRAIN; CONSERVED SEQUENCE; FEMALE; GENETIC VARIATION; GENETICS; HUMAN; MALE; MIDDLE AGED; MOLECULAR BIOLOGY; MOLECULAR EVOLUTION; NEUROPSYCHOLOGICAL TEST; PHENOTYPE; PHYSIOLOGY; PROBLEM SOLVING; STATISTICS;

AGED; BRAIN; COGNITION; CONSERVED SEQUENCE; EVOLUTION, MOLECULAR; FEMALE; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; MALE; MIDDLE AGED; MOLECULAR BIOLOGY; NEUROPSYCHOLOGICAL TESTS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBLEM SOLVING; STATISTICS AS TOPIC;

EID: 85020899629     PISSN: None     EISSN: 21583188     Source Type: Journal    
DOI: 10.1038/tp.2016.246     Document Type: Article

References (36)

1. Carroll JB. Human Cognitive Abilities: A Survey of Factor-Analytic Studies. Cambridge University Press: New York, NY, USA, 1993.
2. Davies G, Tenesa A, Payton A., Yang J, Harris SE, Liewald D et al. Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol Psychiatry 2011; 16: 996-1005.
3. Marioni RE, Davies G, Hayward C., Liewald D, Kerr SM, Campbell A et al. Molecular genetic contributions to socioeconomic status and intelligence. Intelligence 2014; 44: 26-32.
4. Davies G, Armstrong N, Bis J.C., Bressler J., Chouraki V, Giddaluru S et al. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949). Mol Psychiatry 2015; 20: 183-192.
5. Deary IJ. Intelligence. Annu Rev Psychol 2012; 63: 453-482.
6. Hill WD, Davies G, The CHARGE Cognitive Working Group, Liewald DC, McIntosh AM, Deary IJ. Age-dependent pleiotropy between general cognitive function and major psychiatric disorders. Biol Psychiatry 2015; 80: 266-273.
7. Hagenaars SP, Harris SE, Davies G, Hill W.D., Liewald DC, Ritchie SJ et al. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia. Mol Psychiatry 2016; 21: 1624-1632.
8. Davies G, Marioni RE, Liewald D.C., Hill WD, Hagenaars SP, Harris SE et al. Genomewide association study of cognitive functions and educational attainment in UK Biobank (N = 112 151). Mol Psychiatry 2016; 21: 758-767.
9. Visscher PM, Brown MA, McCarthy M.I., Yang J. Five years of GWAS discovery. Am J Hum Genet 2012; 90: 17-24.
10. Wang K, Li M, Hakonarson H. Analysing biological pathways in genome-wide association studies. Nat Rev Genet 2010; 11: 843-8554.
11. Hill WD, Davies G, van de Lagemaat LN, Christoforou A, Marioni RE, Fernandes CPD et al. Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Transl Psychiatry 2014; 4: e341.
12. Hill WD, de Leeuw C, Davies G, Liewald DCM, Payton A, Craig LC et al. Functional gene group analysis indicates no role for heterotrimeric G proteins in cognitive ability. PLoS One 2014; 9: e91690.
13. Holmans P, Green EK, Pahwa J.S., Ferreira MA, Purcell SM, Sklar P et al. Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. Am J Hum Genet 2009; 85: 13-24.
14. Mooney MA, Nigg JT, McWeeney S.K., Wilmot B. Functional and genomic context in pathway analysis of GWAS data. Trends Genet 2014; 30: 390-400.
15. Segrè AV, Groop L, Mootha VK, Daly MJ, Altshuler D, Consortium D et al. Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits. PLoS Genet 2010; 6: e1001058.
16. de Leeuw C.A., Neale BM, Heskes T, Posthuma D. The statistical properties of geneset analysis. Nat Rev Genet 2016; 17: 353-364.
17. Lips E, Kooyman M, de Leeuw C, van Bochoven A, Posthuma D. JAG: a tool to evaluate the role of gene-sets in complex traits. Genes 2015; 6: 238-251.
18. Dixson L, Walter H, Schneider M., Erk S, Schäfer A, Haddad L et al. Identification of gene ontologies linked to prefrontal-hippocampal functional coupling in the human brain. Proc Natl Acad Sci USA 2014; 111: 9657-9662.
19. Finucane HK, Bulik-Sullivan B, Gusev A., Trynka G, Reshef Y, Loh PR et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat Genet 2015; 47: 1228-1235.
20. Maurano MT, Humbert R, Rynes E., Thurman RE, Haugen E, Wang H et al. Systematic localization of common disease-associated variation in regulatory DNA. Science 2012; 337: 1190-1195.
21. Hindorff LA, Sethupathy P, Junkins H.A., Ramos EM, Mehta JP, Collins FS et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci USA 2009; 106: 9362-9367.
22. Schork AJ, Thompson WK, Pham P, Torkamani A., Roddey JC, Sullivan PF et al. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs. PLoS Genet 2013; 9: e1003449.
23. Bulik-Sullivan B., Finucane HK, Anttila V, Gusev A., Day FR, Loh P-R et al. An atlas of genetic correlations across human diseases and traits. Nat Genet 2015; 47: 12236-11241.
24. Gusev A, Lee SH, Trynka G, Finucane H., Vilhjálmsson BJ, Xu H et al. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. Am J Hum Genet 2014; 95: 535-552.
25. Okbay A, Beauchamp JP, Fontana M.A., Lee JJ, Pers TH, Rietveld CA et al. Genomewide association study identifies 74 loci associated with educational attainment. Nature 2016; 533: 539-542.
26. Penke L, Denissen JJ, Miller GF The evolutionary genetics of personality. Eur J Pers 2007; 21: 549-587.
27. Deary IJ. Looking for 'System Integrity' in cognitive epidemiology. Gerontology 2012; 58: 545-553.
28. Bayés À, Collins MO, Croning MD, van de Lagemaat LN, Choudhary JS, Grant SG. Comparative study of human and mouse postsynaptic proteomes finds high compositional conservation and abundance differences for key synaptic proteins. PLoS One 2012; 7: e46683.
29. Bayés À, van de Lagemaat LN, Collins MO, Croning MD, Whittle IR, Choudhary JS et al. Characterization of the proteome, diseases and evolution of the human postsynaptic density. Nat Neurosci 2010; 14: 19-21.
30. Johnson MR, Shkura K, Langley S.R., Delahaye-Duriez A, Srivastava P, Hill WD et al. Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease. Nat Neurosci 2015; 19: 223-232.
31. Jinks J, Eaves L. IQ and inequality. Nature 1974; 248: 287-289.
32. Jinks JL, Fulker DW Comparison of the biometrical genetical, MAVA, and classical approaches to the analysis of the human behavior. Psychol Bull 1970; 73: 311.
33. Joshi PK, Esko T, Mattsson H., Eklund N, Gandin I, Nutile T et al. Directional dominance on stature and cognition in diverse human populations. Nature 2015; 523: 459-462.
34. Marioni RE, Penke L, Davies G., Huffman JE, Hayward C, Deary IJ. The total burden of rare, non-synonymous exome genetic variants is not associated with childhood or late-life cognitive ability. Proc R Soc B Biol Sci 2014; 281: 20140117.
35. Sudlow C, Gallacher J, Allen N., Beral V, Burton P, Danesh J et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015; 12: e1001779.
36. Burkart JM, Schubiger MN, van Schaik CP. The evolution of general intelligence. Behavioral and Brain Sciences 2016; 1-65; doi.org/10.1017/S0140525X16000959.