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Polygenic Architecture of Human Neuroanatomical Diversity
Cerebral Cortex ( IF 3.7 ) Pub Date : 2020-02-28 , DOI: 10.1093/cercor/bhz241
Anne Biton 1, 2 , Nicolas Traut 1 , Jean-Baptiste Poline 3 , Benjamin S Aribisala 4, 5, 6 , Mark E Bastin 4, 5, 7 , Robin Bülow 8 , Simon R Cox 4, 9 , Ian J Deary 4, 9 , Masaki Fukunaga 10, 11 , Hans J Grabe 12, 13 , Saskia Hagenaars 4, 9, 14 , Ryota Hashimoto 15 , Masataka Kikuchi 16 , Susana Muñoz Maniega 4, 5, 7 , Matthias Nauck 17, 18 , Natalie A Royle 4, 5, 7 , Alexander Teumer 19 , Maria Valdés Hernández 4, 5, 7 , Uwe Völker 18, 20 , Joanna M Wardlaw 4, 5, 7 , Katharina Wittfeld 12, 13 , Hidenaga Yamamori 21 , Thomas Bourgeron 1 , Roberto Toro 1, 22 ,
Affiliation  

We analyzed the genomic architecture of neuroanatomical diversity using magnetic resonance imaging and single nucleotide polymorphism (SNP) data from >26 000 individuals from the UK Biobank project and 5 other projects that had previously participated in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium. Our results confirm the polygenic architecture of neuroanatomical diversity, with SNPs capturing from 40% to 54% of regional brain volume variance. Chromosomal length correlated with the amount of phenotypic variance captured, r ~ 0.64 on average, suggesting that at a global scale causal variants are homogeneously distributed across the genome. At a local scale, SNPs within genes (~51%) captured ~1.5 times more genetic variance than the rest, and SNPs with low minor allele frequency (MAF) captured less variance than the rest: the 40% of SNPs with MAF <5% captured <one fourth of the genetic variance. We also observed extensive pleiotropy across regions, with an average genetic correlation of rG ~ 0.45. Genetic correlations were similar to phenotypic and environmental correlations; however, genetic correlations were often larger than phenotypic correlations for the left/right volumes of the same region. The heritability of differences in left/right volumes was generally not statistically significant, suggesting an important influence of environmental causes in the variability of brain asymmetry. Our code is available athttps://github.com/neuroanatomy/genomic-architecture.

中文翻译:

人类神经解剖学多样性的多基因体系结构

我们使用磁共振成像和来自英国生物库项目以及之前参与过ENIGMA(通过元分析来增强神经成像遗传学)的其他5个项目的> 26 000名个体的单核苷酸多态性(SNP)数据,分析了神经解剖多样性的基因组结构。财团。我们的研究结果证实了神经解剖学多样性的多基因结构,SNPs捕获了40%至54%的区域大脑体积变化。染色体长度与捕获的表型变异量相关,r 平均约为0.64,这表明在全球范围内,因果变异在基因组中均匀分布。在局部范围内,基因内的SNP(〜51%)捕获的遗传变异是其余基因的1.5倍,而次要等位基因频率较低(MAF)的SNP捕获的遗传变异要比其余基因少:MAF <5的SNP占40%捕获的百分比<遗传变异的四分之一。我们还观察到了区域之间广泛的多效性,平均遗传相关性为r G 〜0.45。遗传相关性类似于表型和环境相关性。然而,对于同一区域的左/右体积,遗传相关性通常大于表型相关性。左/右体积差异的遗传性通常没有统计学意义,表明环境原因在脑不对称性变异中具有重要影响。我们的代码可从https://github.com/neuroanatomy/genomic-architecture获得。
更新日期:2020-04-23
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