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Genomics: Tool to predict and prevent male infertility
Ashutosh Halder1, Prashant Kumar2, Manish Jain2
1Department of Reproductive Biology, All India Institute of Medical Sciences, New Delhi, India, ashutoshhalder@gmail.com.
Frontiers in Bioscience (Scholar Edition)
|April 15, 2017
Summary
Genetic factors like chromosomal abnormalities and Yq microdeletions contribute significantly to male infertility. This review explores genetic causes, reproductive technologies, and genomic approaches for prediction and prevention.
Area of Science:
- Human Genetics
- Reproductive Medicine
- Genomic Medicine
Background:
- Genetic abnormalities are a significant cause of human diseases, including male infertility.
- Improved molecular biology techniques are increasingly identifying genetic factors contributing to male infertility.
- Chromosomal abnormalities, Yq microdeletions, and cystic fibrosis account for about 30% of male infertility cases, with 40% remaining idiopathic and potentially linked to genetic/genomic factors.
Purpose of the Study:
- To review current knowledge on genetic etiologies of male infertility.
- To discuss reproductive technologies for overcoming male infertility.
- To explore the prevention of genetic disorder transmission during assisted reproduction and future genomic applications.
Main Methods:
- Literature review of published works on genetic causes of male infertility.
- Analysis of genetic and genomic abnormalities associated with male infertility.
- Discussion of assisted reproductive technologies and genetic counseling.
Main Results:
- Genetic factors, including chromosomal abnormalities and Yq microdeletions, are established causes of male infertility.
- Increasingly, novel genes are being identified, reducing the prevalence of idiopathic male infertility.
- Reproductive technologies can overcome infertility but carry risks of transmitting genetic disorders.
Conclusions:
- Genetic factors play a crucial role in male infertility, necessitating comprehensive genetic evaluation.
- Assisted reproduction requires careful consideration of genetic risks and preventative strategies.
- Genomic information holds promise for the future prediction and prevention of male infertility.