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. 2023 Aug 4;113(10):1059–1075. doi: 10.1159/000533413

Table 1.

Summary of all statistical methods

Section Procedure Method
Lifetime comorbidity Association of reproductive disorders with each other and with female MD, PND, and NPD Logistic regression using R version 4.0.5, including age as a covariate for female MD, and age and number of births as covariates for PND and NPD
Genetic analysis of reproductive disorders Conducting GWAS for each reproductive disorder and depression group FastGWA-binary [29]
Assessing SNP-based heritability for each reproductive disorder Haseman-Elston method [30]
Meta-analyses of reproductive disorders using UKB and FinnGen summary statistics Metal [33], using fixed effects, standard error-based model
Downstream analyses of GWAS summary statistics: Identification of significant loci and significantly associated genes/tissues All summary statistics submitted to FUMA [34], which utilises MAGMA [35] for gene-based testing
Genetic correlations between reproductive disorders, and between reproductive disorders and depression groups LDSC [37] used with GWAS summary statistics for calculation of genetic correlations
Identifying underlying latent factor structure Identifying latent factor structure GenomicSEM [19] used to develop a model of an underlying genetic factor for 5 reproductive disorders
Downstream analysis of latent factor summary statistics Summary statistics submitted to FUMA [34], stratified LDSC used to identify regions of enhanced heritability and tissues enriched in expression of associated genes
Genetic correlations between latent factor and depression groups LDSC [37] used with summary statistics for calculation of genetic correlations