DINGO summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects"
收藏Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/dingo-summary-statistics-genetic-effects/3752737
下载链接
链接失效反馈官方服务:
资源简介:
Phenotypes analysed: 1-hour glucose post-OGTT (1h_Glucose), 2-hour glucose post-OGTT (2h_Glucose), fasting glucose (FG), gestational diabetes mellitus (GDM), and glycated haemoglobin (HbA1c). DINGO analyses were performed in European ancestry samples. Maternal EUR analyses included FG (n = 17,810), 1hG (n = 7,736), 2hG (n = 10,784), HbA1c (n = 5,377), and GDM (n = 766,250; 29,640 cases). Fetal EUR analyses included FG (n = 6,629), 1hG (n = 4,465), 2hG (n = 5,838), HbA1c (n = 3,068), and GDM (n = 84,089; 1,484 cases). GDM genetic effects were transformed to the liability scale using the Wu et al. linear approximation. Output columns are: CHR (chromosome), SNP (rsID), BP (base-pair position b38), EA_F (effect allele for fetal effect), NEA (non-effect allele), BETA_F_ADJ (beta of conditional fetal effect), SE_F_ADJ (standard error of conditional fetal effect), P_F_ADJ (p-value of conditional fetal effect), BETA_M_ADJ (beta of conditional maternal effect), SE_M_ADJ (standard error of conditional maternal effect), P_M_ADJ (p-value of conditional maternal effect), P_2DF (p-value of the two degree-of-freedom test), P_F_META (p-value of fetal 1-df meta-analysis), and P_M_META (p-value of maternal 1-df meta-analysis). For further details on sample sizes, analytical pipelines, and cohort-specific QC procedures, see Supplementary Materials.
提供机构:
The University of Queensland



