The summary statistics of GWAS for individual deviations of total GMV
Data files
Oct 16, 2024 version files 270.28 MB
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README.md
1.40 KB
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UKB_TGMV60y_sumstats_DuanEtAl2023.glm.linear.gz
270.27 MB
Abstract
README
The summary statistics of GWAS for individual deviations of total GMV, June 2024 Release
The file “UKB_TGMV60y_sumstats_DuanEtAl2023.gz” contains results from the genome-wide association studies (GWAS) for individual deviations of total gray matter volume (GMV) relative to the population average at 60 years in the paper "Population clustering of structural brain aging and its association with brain development" by Duan et al in eLife (https://doi.org/10.7554/eLife.94970). The data can be opened and viewed using a text editor or in programming software (e.g. Python, R, etc.).
Detailed information about generation of the data, QC and GWAS can be found in the paper.
File Description
CHROM Chromosome code
POS Base-pair coordinate
ID Variant ID
A1 Reference allele
A2 Alternative allele
TEST Test identifier
OBS_CT Number of samples in regression
BETA Regression coefficient (for A1 allele)
SE Standard error of log-odds (i.e. beta)
T_STAT t-statistic for linear regression
P p-value
ERRCODE When result is 'NA'
Recommended Citation
Your manuscript should cite the following reference:
Duan H, Shi R, Kang J, et al. (2024). Population clustering of structural brain aging and its association with brain development. eLife. doi:10.7554/eLife.94970