PreFer Genes (Prediction of Fertility Genes) ranks genes according to their diagnostic potential as markers of male fertility impairment. For this purpose, PreFer Genes assigns a probability score to the genes covered, 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 should reflect greater diagnostic potential of a gene and its transcripts and proteins as markers of male fertility impairment.

Logistic regressions were carried out on two datasets: In Murine Phenotypes analysis, gene categorization included phenotypes of male knockout mice homozygous or hemizygous for targeted mutations as reported by MGI (Mouse Genome Informatics). Genes in Human Phenotypes analysis were classified as either associated or not associated with male fertility according to published literature. For additional parameters in logistic regression analysis, see Methods & Data.

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• Murine Phenotypes
• Human Phenotypes
• Logistic Regressions
• Methods & Data
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• Funding & Citation
• Working Group Herlyn