five

GWAS summary statistics for GOS omics profiling

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DataCite Commons2025-07-04 更新2025-09-08 收录
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https://figshare.com/articles/dataset/GWAS_summary_statistics_for_GOS_omics_profiling/29482184
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The great obstetrical syndromes (GOS) encompass a spectrum of pregnancy-related complications that are the major determinants of maternal and neonatal mortality. In this case-control study nested within the prospective Shanghai Birth Cohort, we investigated the molecular characteristics underlying GOS conditions in the pre-symptomatic phase using serum samples from 203 nulliparas that subsequently developed GOS and 181 controls. A multi-omics approach that combines protein, metabolite, and gene analysis was utilized. One protein module mainly involved in the immune system and platelet function showed significant associations across the spectrum of tested GOS conditions. Genome-wide associations with the eigenprotein of this protein module were analyzed in PLINK2 using linear regression models assuming an additive genetic model, with adjustment for the residual population structure (the top two principal components from principal component analyses). The genome-wide significance threshold was set at 5.0 x 10<sup>-8</sup> and suggestive significance at 5.0 x 10<sup>-6</sup>.
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figshare
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2025-07-04
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