| _version_ | 1866902260713259008 |
|---|---|
| author | Chen, Chi-Hua Tian, Xiaoguang CHOU, CHUN-JU |
| author_facet | Chen, Chi-Hua Tian, Xiaoguang CHOU, CHUN-JU |
| contents | <p>#Summary statistics from GWAS analyses of 24 genetically informed cortical phenotypes<br>#Including two global measures: total cortical surface area, mean cortical thickness<br>########################################<br>Sample size n=36289 (UK Biobank White-British cohort)</p> <p>Number of reported SNPs: ~15178763 (Chromosomes 1-22)</p> <p>########################################<br>GWAS was performed with fastGWA, using a sparse GRM as input as implemented in GCTA: https://cnsgenomics.com/software/gcta/index.html#fastGWA/</p> <p>Each file contains the following columns:</p> <p>#CHR Chromosome<br>#SNP SNP identifier<br>#POS Base-pair position<br>#A1 Effect allele (minor allele by default) <br>#A2 Other allele<br>#N Sample size<br>#AF1 Frequency of A1<br>#BETA SNP effect<br>#SE SNP standard error<br>#P p-value </p> <p>########################################</p> <p>#The dataset comprises GWAS summary statistics for 50 brain MRI phenotypes: 12 regional measures of cortical surface area and 12 of cortical thickness, each with a version adjusted for the corresponding global measure. It also includes two global measures: total cortical surface area and mean cortical thickness. </p> <p>#All brain phenotypes were pre-residualized prior to GWAS to remove the effects of age, sex, scanner, and the top 10 genetic principal components.</p> <p><br>#Full summary statistics file names</p> <p>UKB_36k_motor_premoter_area_global_adjusted.gz<br>UKB_36k_motor_premoter_area_no_global_adjustment.gz<br>UKB_36k_occipital_area_global_adjusted.gz<br>UKB_36k_occipital_area_no_global_adjustment.gz<br>UKB_36k_posterolateral_temporal_area_global_adjusted.gz<br>UKB_36k_posterolateral_temporal_area_no_global_adjustment.gz<br>UKB_36k_superior_parietal_area_global_adjusted.gz<br>UKB_36k_superior_parietal_area_no_global_adjustment.gz<br>UKB_36k_orbitalfrontal_area_global_adjusted.gz<br>UKB_36k_orbitalfrontal_area_no_global_adjustment.gz<br>UKB_36k_superior_temporal_area_global_adjusted.gz<br>UKB_36k_superior_temporal_area_no_global_adjustment.gz<br>UKB_36k_inferior_parietal_area_global_adjusted.gz<br>UKB_36k_inferior_parietal_area_no_global_adjustment.gz<br>UKB_36k_dorsomedial_frontal_area_global_adjusted.gz<br>UKB_36k_dorsomedial_frontal_area_no_global_adjustment.gz<br>UKB_36k_anteromedial_temporal_area_global_adjusted.gz<br>UKB_36k_anteromedial_temporal_area_no_global_adjustment.gz<br>UKB_36k_precuneus_area_global_adjusted.gz<br>UKB_36k_precuneus_area_no_global_adjustment.gz<br>UKB_36k_dorsolateral_prefrontal_area_global_adjusted.gz<br>UKB_36k_dorsolateral_prefrontal_area_no_global_adjustment.gz<br>UKB_36k_pars_opercularis_area_global_adjusted.gz<br>UKB_36k_pars_opercularis_area_no_global_adjustment.gz<br>UKB_36k_motor_premoter_SMA_thickness_global_adjusted.gz<br>UKB_36k_motor_premoter_SMA_thickness_no_global_adjustment.gz<br>UKB_36k_superior_perietal_thickness_global_adjusted.gz<br>UKB_36k_superior_perietal_thickness_no_global_adjustment.gz<br>UKB_36k_inferior_parietal_thickness_global_adjusted.gz<br>UKB_36k_inferior_parietal_thickness_no_global_adjustment.gz<br>UKB_36k_perisylvian_thickness_global_adjusted.gz<br>UKB_36k_perisylvian_thickness_no_global_adjustment.gz<br>UKB_36k_occipital_thickness_global_adjusted.gz<br>UKB_36k_occipital_thickness_no_global_adjustment.gz<br>UKB_36k_ventromedial_occipital_thickness_global_adjusted.gz<br>UKB_36k_ventromedial_occipital_thickness_no_global_adjustment.gz<br>UKB_36k_ventral_frontal_thickness_global_adjusted.gz<br>UKB_36k_ventral_frontal_thickness_no_global_adjustment.gz<br>UKB_36k_temporal_pole_thickness_global_adjusted.gz<br>UKB_36k_temporal_pole_thickness_no_global_adjustment.gz<br>UKB_36k_medial_temporal_thickness_global_adjusted.gz<br>UKB_36k_medial_temporal_thickness_no_global_adjustment.gz<br>UKB_36k_middle_temporal_thickness_global_adjusted.gz<br>UKB_36k_middle_temporal_thickness_no_global_adjustment.gz<br>UKB_36k_dorsolateral_prefrontal_thickness_global_adjusted.gz<br>UKB_36k_dorsolateral_prefrontal_thickness_no_global_adjustment.gz<br>UKB_36k_medial_prefrontal_thickness_global_adjusted.gz<br>UKB_36k_medial_prefrontal_thickness_no_global_adjustment.gz<br>UKB_36k_total_surface_area.gz<br>UKB_36k_mean_cortical_thickness.gz</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15363316 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | GWAS summary statistics for genetically informed cortical phenotypes Chen, Chi-Hua Tian, Xiaoguang CHOU, CHUN-JU MRI Cerebral Cortex <p>#Summary statistics from GWAS analyses of 24 genetically informed cortical phenotypes<br>#Including two global measures: total cortical surface area, mean cortical thickness<br>########################################<br>Sample size n=36289 (UK Biobank White-British cohort)</p> <p>Number of reported SNPs: ~15178763 (Chromosomes 1-22)</p> <p>########################################<br>GWAS was performed with fastGWA, using a sparse GRM as input as implemented in GCTA: https://cnsgenomics.com/software/gcta/index.html#fastGWA/</p> <p>Each file contains the following columns:</p> <p>#CHR Chromosome<br>#SNP SNP identifier<br>#POS Base-pair position<br>#A1 Effect allele (minor allele by default) <br>#A2 Other allele<br>#N Sample size<br>#AF1 Frequency of A1<br>#BETA SNP effect<br>#SE SNP standard error<br>#P p-value </p> <p>########################################</p> <p>#The dataset comprises GWAS summary statistics for 50 brain MRI phenotypes: 12 regional measures of cortical surface area and 12 of cortical thickness, each with a version adjusted for the corresponding global measure. It also includes two global measures: total cortical surface area and mean cortical thickness. </p> <p>#All brain phenotypes were pre-residualized prior to GWAS to remove the effects of age, sex, scanner, and the top 10 genetic principal components.</p> <p><br>#Full summary statistics file names</p> <p>UKB_36k_motor_premoter_area_global_adjusted.gz<br>UKB_36k_motor_premoter_area_no_global_adjustment.gz<br>UKB_36k_occipital_area_global_adjusted.gz<br>UKB_36k_occipital_area_no_global_adjustment.gz<br>UKB_36k_posterolateral_temporal_area_global_adjusted.gz<br>UKB_36k_posterolateral_temporal_area_no_global_adjustment.gz<br>UKB_36k_superior_parietal_area_global_adjusted.gz<br>UKB_36k_superior_parietal_area_no_global_adjustment.gz<br>UKB_36k_orbitalfrontal_area_global_adjusted.gz<br>UKB_36k_orbitalfrontal_area_no_global_adjustment.gz<br>UKB_36k_superior_temporal_area_global_adjusted.gz<br>UKB_36k_superior_temporal_area_no_global_adjustment.gz<br>UKB_36k_inferior_parietal_area_global_adjusted.gz<br>UKB_36k_inferior_parietal_area_no_global_adjustment.gz<br>UKB_36k_dorsomedial_frontal_area_global_adjusted.gz<br>UKB_36k_dorsomedial_frontal_area_no_global_adjustment.gz<br>UKB_36k_anteromedial_temporal_area_global_adjusted.gz<br>UKB_36k_anteromedial_temporal_area_no_global_adjustment.gz<br>UKB_36k_precuneus_area_global_adjusted.gz<br>UKB_36k_precuneus_area_no_global_adjustment.gz<br>UKB_36k_dorsolateral_prefrontal_area_global_adjusted.gz<br>UKB_36k_dorsolateral_prefrontal_area_no_global_adjustment.gz<br>UKB_36k_pars_opercularis_area_global_adjusted.gz<br>UKB_36k_pars_opercularis_area_no_global_adjustment.gz<br>UKB_36k_motor_premoter_SMA_thickness_global_adjusted.gz<br>UKB_36k_motor_premoter_SMA_thickness_no_global_adjustment.gz<br>UKB_36k_superior_perietal_thickness_global_adjusted.gz<br>UKB_36k_superior_perietal_thickness_no_global_adjustment.gz<br>UKB_36k_inferior_parietal_thickness_global_adjusted.gz<br>UKB_36k_inferior_parietal_thickness_no_global_adjustment.gz<br>UKB_36k_perisylvian_thickness_global_adjusted.gz<br>UKB_36k_perisylvian_thickness_no_global_adjustment.gz<br>UKB_36k_occipital_thickness_global_adjusted.gz<br>UKB_36k_occipital_thickness_no_global_adjustment.gz<br>UKB_36k_ventromedial_occipital_thickness_global_adjusted.gz<br>UKB_36k_ventromedial_occipital_thickness_no_global_adjustment.gz<br>UKB_36k_ventral_frontal_thickness_global_adjusted.gz<br>UKB_36k_ventral_frontal_thickness_no_global_adjustment.gz<br>UKB_36k_temporal_pole_thickness_global_adjusted.gz<br>UKB_36k_temporal_pole_thickness_no_global_adjustment.gz<br>UKB_36k_medial_temporal_thickness_global_adjusted.gz<br>UKB_36k_medial_temporal_thickness_no_global_adjustment.gz<br>UKB_36k_middle_temporal_thickness_global_adjusted.gz<br>UKB_36k_middle_temporal_thickness_no_global_adjustment.gz<br>UKB_36k_dorsolateral_prefrontal_thickness_global_adjusted.gz<br>UKB_36k_dorsolateral_prefrontal_thickness_no_global_adjustment.gz<br>UKB_36k_medial_prefrontal_thickness_global_adjusted.gz<br>UKB_36k_medial_prefrontal_thickness_no_global_adjustment.gz<br>UKB_36k_total_surface_area.gz<br>UKB_36k_mean_cortical_thickness.gz</p> |
| title | GWAS summary statistics for genetically informed cortical phenotypes |
| topic | MRI Cerebral Cortex |
| url | https://doi.org/10.5281/zenodo.15363316 |