Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

被引:45
作者
Jansen, Philip R. [1 ,2 ]
Nagel, Mats [1 ]
Watanabe, Kyoko [1 ]
Wei, Yongbin [1 ]
Savage, Jeanne E. [1 ]
de Leeuw, Christiaan A. [1 ]
van den Heuvel, Martijn P. [1 ,3 ]
van der Sluis, Sophie [1 ,3 ]
Posthuma, Danielle [1 ,3 ]
机构
[1] Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Amsterdam Neurosci, Dept Complex Trait Genet, Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Dept Clin Genet, Amsterdam UMC, Amsterdam, Netherlands
[3] Vrije Univ, Dept Child & Adolescent Psychiat & Psychol, Amsterdam UMC,Med Ctr, Amsterdam Neurosci,Sect Complex Trait Genet, Amsterdam, Netherlands
基金
美国国家卫生研究院; 英国惠康基金;
关键词
INDIVIDUAL EDUCATIONAL-LEVEL; OCCUPATIONAL SOCIAL-CLASS; INTRACRANIAL VOLUME; HEAD CIRCUMFERENCE; COMMON VARIANTS; NORFOLK COHORT; ASSOCIATION; DEPRIVATION; EXPRESSION; CELLS;
D O I
10.1038/s41467-020-19378-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The phenotypic correlation between human intelligence and brain volume (BV) is considerable (r approximate to 0.40), and has been shown to be due to shared genetic factors. To further examine specific genetic factors driving this correlation, we present genomic analyses of the genetic overlap between intelligence and BV using genome-wide association study (GWAS) results. First, we conduct a large BV GWAS meta-analysis (N = 47,316 individuals), followed by functional annotation and gene-mapping. We identify 18 genomic loci (14 not previously associated), implicating 343 genes (270 not previously associated) and 18 biological pathways for BV. Second, we use an existing GWAS for intelligence (N = 269,867 individuals), and estimate the genetic correlation (r(g)) between BV and intelligence to be 0.24. We show that the r(g) is partly attributable to physical overlap of GWAS hits in 5 genomic loci. We identify 92 shared genes between BV and intelligence, which are mainly involved in signaling pathways regulating cell growth. Out of these 92, we prioritize 32 that are most likely to have functional impact. These results provide information on the genetics of BV and provide biological insight into BV's shared genetic etiology with intelligence.
引用
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页数:12
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