遇见数据集

Shared Genetic Architecture of Deep and Superficial White Matter in the Human Arcuate Fasciculus

收藏
Zenodo2026-09-30 更新2026-10-01 收录
官方服务:

资源简介:

Shared data: Shared Genetic Architecture of Deep and Superficial White Matter in the Human Arcuate Fasciculus This archive contains the summary statistics of the GWAS carried out in the paper. Two sets of studies were carried out, one at the brain-wide level and the other for the Arcuate Fasciculus substem (local). Brain-wide study The phenotypes are as follows: Long fibres according to the atlas [Guevara 2012] and characterised by the ICVF metric, then imputed and GMM-PVE corrected Short fibres according to the ESBA [Vindas 2023] atlas and characterised by the ICVF metric, then imputed and GMM-PVE corrected Two MOSTest association analyses (multivariate phenotype) were performed (one for all LABs and the other for all SABs). The analysis parameters are (maf, hwe p= and the covariates are age, assessment centre, sex, genotyping array, 10PC). The corresponding two summary statistics are in the directory multivariate. Local study for the Arcuate Fasciculus region The phenotypes are as follows: 6 long-axis fibres (LABs) corresponding to the 3 segments to the left and right of the arcuate fasciculus 6 short-axis fibre networks (SAB-N) corresponding to the terminations of the 3 segments to the left and right of the arcuate fasciculus Twelve association analyses (univariate phenotype) were carried out using PLINK V2. The analysis parameters are (MAF, HWE p= and the covariates are age, assessment centre, sex, genotyping array, 10PC) The corresponding two summary statistics are in the directory univariate. All analyses use UK Biobank data under Application Number 64984. Individual-level UK Biobank data cannot be redistributed. Only derived summary-level results are shared here. UK Biobank data are available to bona fide researchers on application through the UK Biobank Access ManagementSystem (https://www.ukbiobank.ac.uk/enable-your-research/apply-for-access).

提供机构:
Zenodo
创建时间:
2026-09-30
二维码
社区交流群
二维码
科研交流群
商业服务