Assessing the genetic overlap between BMI and cognitive function

Molecular Psychiatry

Volumn 21, Issue 10, 2016, Pages 1477-1482

  Marioni, R E ^a,b   Yang, J ^b   Dykiert, D ^a   Mottus R ^a   Campbell, A ^a   Davies, G ^a   Hayward, C ^a,c   Porteous, D J ^a   Visscher, P M ^a,b   Deary, I J ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AKAP6 GENE; ARTICLE; BODY MASS; COGNITION; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; GENETIC TRAIT; GENETIC VARIABILITY; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMAN; MALE; OVERLAPPING GENE; PHENOTYPE; PRIORITY JOURNAL; SCOTLAND; SINGLE NUCLEOTIDE POLYMORPHISM; TMEM161B GENE; TNRC6B GENE; TOMM40 GENE; GENETIC ASSOCIATION STUDY; GENETIC PREDISPOSITION; GENETIC VARIATION; GENETICS; MIDDLE AGED; MULTIFACTORIAL INHERITANCE; OBESITY; PHYSIOLOGY; PROCEDURES;

AGED; BODY MASS INDEX; COGNITION; FEMALE; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; MALE; MIDDLE AGED; MULTIFACTORIAL INHERITANCE; OBESITY; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; SCOTLAND;

EID: 84977067685     PISSN: 13594184     EISSN: 14765578     Source Type: Journal    
DOI: 10.1038/mp.2015.205     Document Type: Article

References (46)

1. Abdullah A, Peeters A, de Courten M, Stoelwinder J. The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. Diabetes Res Clin Pract 2010; 89: 309-319.
2. Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX et al. Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. Circulation 2006; 113: 898-918.
3. Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol 2009; 53: 1925-1932.
4. Sabia S, Kivimaki M, Shipley MJ, Marmot MG, Singh-Manoux A. Body mass index over the adult life course and cognition in late midlife: the Whitehall II Cohort Study. Am J Clin Nutr 2009; 89: 601-607.
5. Ward MA, Carlsson CM, Trivedi MA, Sager MA, Johnson SC. The effect of body mass index on global brain volume in middle-aged adults: a cross sectional study. BMC Neurol 2005; 5: 23.
6. Strachan MW, Reynolds RM, Marioni RE, Price JF. Cognitive function, dementia and type 2 diabetes mellitus in the elderly. Nat Rev Endocrinol 2011; 7: 108-114.
7. Mõttus R, Luciano M, Starr JM, Deary IJ. Diabetes and life-long cognitive ability. J Psychosom Res 2013; 75: 275-278.
8. Qizilbash N, Gregson J, Johnson ME, Pearce N, Douglas I, Wing K et al. BMI and risk of dementia in two million people over two decades: a retrospective cohort study. Lancet Diabetes Endocrinol 2015; 3: 431-436.
9. Davies G, Armstrong N, Bis JC, 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.
10. Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 2015; 518: 197-206.
11. Benyamin B, Wilson V, Whalley LJ, Visscher PM, Deary IJ. Large, consistent estimates of the heritability of cognitive ability in two entire populations of 11-year-old twins from Scottish mental surveys of 1932 and 1947. Behav Genet 2005; 35: 525-534.
12. Frazier-Wood AC, Carnell S, Pena O, Hughes SO, O'Connor TM, Asherson P et al. Cognitive performance and BMI in childhood: Shared genetic influences between reaction time but not response inhibition. Obesity (Silver Spring) 2014; 22: 2312-2318.
13. Laitala VS, Kaprio J, Koskenvuo M, Räihä I, Rinne JO, Silventoinen K. Association and causal relationship of midlife obesity and related metabolic disorders with old age cognition. Curr Alzheimer Res 2011; 8: 699-706.
14. Hart CL, Taylor MD, Davey Smith G, Whalley LJ, Starr JM, Hole DJ et al. Childhood IQ, social class, deprivation, and their relationships with mortality and morbidity risk in later life: prospective observational study linking the Scottish Mental Survey 1932 and the Midspan studies. Psychosom Med 2003; 65: 877-883.
15. Osler M, Andersen AM, Due P, Lund R, Damsgaard MT, Holstein BE. Socio-economic position in early life, birth weight, childhood cognitive function, and adult mortality. A longitudinal study of Danish men born in 1953. J Epidemiol Community Health 2003; 57: 681-686.
16. Whalley LJ, Deary IJ. Longitudinal cohort study of childhood IQ and survival up to age 76. BMJ 2001; 322: 819.
17. Kuh D, Richards M, Hardy R, Butterworth S, Wadsworth ME. Childhood cognitive ability and deaths up until middle age: a post-war birth cohort study. Int J Epidemiol 2004; 33: 408-413.
18. Yang J, Manolio TA, Pasquale LR, Boerwinkle E, Caporaso N, Cunningham JM et al. Genome partitioning of genetic variation for complex traits using common SNPs. Nat Genet 2011; 43: 519-525.
19. Vattikuti S, Guo J, Chow CC. Heritability and genetic correlations explained by common SNPs for metabolic syndrome traits. PLoS Genet 2012; 8: e1002637.
20. Llewellyn CH, Trzaskowski M, Plomin R, Wardle J. Finding the missing heritability in pediatric obesity: the contribution of genome-wide complex trait analysis. Int J Obes (Lond) 2013; 37: 1506-1509.
21. McIntosh AM, Gow A, Luciano M, Davies G, Liewald DC, Harris SE et al. Polygenic risk for schizophrenia is associated with cognitive change between childhood and old age. Biol Psychiatry 2013; 73: 938-943.
22. Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet 2011; 88: 76-82.
23. Lee SH, Yang J, Goddard ME, Visscher PM, Wray NR. Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood. Bioinformatics 2012; 28: 2540-2542.
24. Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J, Patterson N et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet 2015; 47: 291-295.
25. Smith BH, Campbell H, Blackwood D, Connell J, Connor M, Deary IJ et al. Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability. BMC Med Genet 2006; 7: 74.
26. Smith BH, Campbell A, Linksted P, Fitzpatrick B, Jackson C, Kerr SM et al. Cohort profile: GENERATION Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. Int J Epidemiol 2012; 42: 689-700.
27. Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AA, Lee SH et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet 2015; 47: 1114-1120.
28. Wechsler D. WAIS-III UK Wechsler Adult Intelligence Scale. Psychological Corporation: London, UK, 1998.
29. Wechsler D. WMS-III UK, Wechsler Memory Scale-Revised. Psychological Corporation: London, UK, 1998.
30. Lezak MD. Neuropsychological Assessment, 3rd edition. Oxford University Press: Oxford, UK, 1995.
31. Raven JC, Court JH, Raven J. Manual for Raven's Progressive Matrices and Vocabulary Scales. HK Lewis: London, UK, 1977.
32. Gunderson KL. Whole-genome genotyping on bead arrays. Methods Mol Biol 2009; 529: 197-213.
33. The International HapMap3 Consortium. Integrating common and rare genetic variation in diverse human populations. Nature 2010; 467: 52-58.
34. Marioni RE, Batty GD, Hayward C, Kerr SM, Campbell A, Hocking LJ et al. Common genetic variants explain the majority of the correlation between height and intelligence: the generation Scotland study. Behav Genet 2014; 44: 91-96.
35. Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR et al. Common SNPs explain a large proportion of the heritability for human height. Nat Genet 2010; 42: 565-569.
36. Core Team R. R: A Language and Environment for Statistical Computing. R Foundation for Statistical ComputingVienna, Austria. 2012.
37. Purcell S. PLINK v1.07http://pngu.mgh.harvard.edu/purcell/plink/.
38. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D et al. PLINK: a toolset for whole-genome association and population-based linkage analysis. Am J Hum Genet 2007; 81: 559-575.
39. Deary IJ. Looking for 'system integrity' in cognitive epidemiology. Gerontology 2012; 58: 545-553.
40. Gale CR, Batty GD, Cooper C, Deary IJ. Psychomotor co-ordination and intelligence in childhood and health in adulthood: testing the system integrity hypothesis. Psychosomatic Med 2009; 71: 675-681.
41. Luciano M, Batty GD, McGilchrist M, Linksted P, Fitzpatrick B, Jackson C et al. Shared genetic aetiology between cognitive ability and cardiovascular disease risk factors: Generation Scotland's Scottish family health study. Intelligence 2012; 38: 304-313.
42. Starr JM, Taylor MD, Hart CL, Davey Smith G, Whalley LJ, Hole DJ et al. Childhood mental ability and blood pressure at midlife: linking the Scottish Mental Survey 1932 and the Midspan studies. J Hypertens 2004; 22: 893-897.
43. Batty GD, Deary IJ. Early life intelligence and adult health. BMJ 2004; 329: 585-586.
44. Davey Smith G, Hemani G. Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet 2014; 23: R89-R98.
45. Dick KJ, Nelson CP, Tsaprouni L, Sandling JK, Aïssi D, Wahl S et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet 2014; 383: 1990-1998.
46. Lunnon K, Smith RG, Cooper I, Greenbaum L, Mill J, Beeri MS. Blood methylomic signatures of presymptomatic dementia in elderly subjects with type 2 diabetes mellitus. Neurobiol Aging 2014; 36: 1600.e1-e4.