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GenoFertility Database

Overview

The GenoFertility Database is a comprehensive repository that collects and curates current scientific knowledge pertaining to the genetic predispositions associated with human infertility and their implications for personalized treatment options. By integrating data from PubMed—a well-respected database of medical and scientific literature—along with numerous genomic databases, the GenoFertility Database provides a valuable resource for researchers and clinicians in the field of reproductive health.

Using advanced artificial intelligence algorithms, the database constantly updates and refines its content, ensuring the information remains relevant and reflective of the latest scientific discoveries. This dynamic approach allows for a thorough examination of the genetic and molecular underpinnings of infertility.


Key Questions Addressed by the GenoFertility Database

  • What diseases or disorders are directly or indirectly connected with infertility?
  • What are the specific or characteristic genetic markers (SNPs) for these diseases or disorders?
  • What specific or characteristic genetic markers (SNPs) are associated with infertility? What are the potential molecular mechanisms underlying this association?
  • What molecular or genetic profiles of patients affect the efficacy of drugs used for infertility treatment?

Content of the GenoFertility

The database is structured to include a variety of topics relevant to infertility, such as:

  • Disorders Connected with Infertility
  • Genes Associated with Infertility
  • SNPs Associated with Infertility
  • Drugs Used in the Treatment of Fertility

Disease Descriptions

For each disorder, the database includes:

  • Symptoms: Key characteristics and clinical manifestations of the disorder.
  • Potential Risk Factors: Factors that may contribute to the development of the disorder, including lifestyle, health history, and genetic predispositions.
  • Genetic Factors: Information regarding implicated genes and genetic predispositions.
  • Environmental Factors: External influences that may affect reproduction and fertility.
  • Infertility Connections: Description of how the disorder relates to infertility.
  • Treatment Options: Available medical interventions and their effectiveness.
  • Gender: Considerations regarding how the disorder may affect different genders.
  • List of SNPs Associated with Disease: Specific single nucleotide polymorphisms linked to the disorder.

Gene Descriptions

For each gene related to infertility, the database details:

  • Name of Gene: The official designation of the gene.
  • rsSNP: SNP reference identification.
  • Locus: The specific location of the gene on the chromosome.
  • Transcript: Information on how the gene is transcribed.
  • Protein Transcript: Details regarding the protein produced by the gene.
  • HAS Scoring: Scoring to assess the clinical significance of variants.
  • SIFT Scoring: Scoring to predict if an amino acid substitution affects protein function.
  • POLY PHEN Scoring: Predictive scoring for the potential impact of mutations.
  • FATHMM Scoring: Scoring to evaluate the pathogenicity of variants.
  • Population Incidence: Frequency of the genetic variants within different populations.
  • PV Class: Classification of the pathogenic variant.
  • List of SNPs of This Gene: Detailed information on SNPs associated with the gene.

Conclusion

The GenoFertility Database stands as a vital tool for advancing the understanding of genetic factors influencing infertility. By addressing critical questions and providing detailed genetic and disease-related information, it supports healthcare professionals and scientists in their efforts to offer targeted and individualized treatments for patients facing infertility challenges.




GenoFertility Database is powered by:

  • Institute of Genomics and Molecular Medicine
  • Center of Personalized Medicine CODE Ltd
  • Lodz, Poland