PreFer Genes (Prediction of Fertility Genes) ranks genes according to their predicted relevance for male fertility maintenance. For the genes included, PreFer Genes provides a probability score which has been derived in binary logistic regression analysis. The score reflects the predicted Fertility Relevance Probability, i.e., the probability that a gene is associated with male sub- or infertility when mutated, deleted, or dysregulated. Higher values might hint at greater diagnostic potential of a gene and its transcripts and proteins.
Logistic regressions were carried out on two datasets: In the analysis of Murine Phenotypes, gene categorization included male knockout mice homozygous or hemizygous for targeted mutations as reported by MGI (Mouse Genome Informatics). Genes included in the analysis of Human Phenotypes were classified as either associated or not associated with fertility impairment in men according to the literature screened. For parameters in logistic regression analysis, see Methods & Data.
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