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Archives of Bioinformatics and Computational Biology

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Editorial
Role of Bioinformatics in the Diagnosis of Female Infertility
Manisha Ray1, Asish Ranjan Sahoo2, Swetasmita Mishra1  
kavyasmita@gmail.com
1Department of Pathology and Lab Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
2Department of Reproductive Medicine and Surgery, Siksha 'O' Anusandhan University, Bhubanesawar, Odisha, India
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ABSTRACT

Infertility has been increased globally as a common health problem which affects 18% of couples at the reproductive stage [1]. Abnormalities in anatomical, physiological, genetic, endocrine, and immunological aspects of the therapeutic system can affect a woman’s fertility rate [2], while the major female infertility influencing factors include age, onset of puberty, developmental programming, diseases like endometriosis, polycystic ovarian syndrome (PCOS), environment, and lifestyle [3]. However, 10% of infertility cases still have unexplained reasons and remain undiagnosed [1,4].



KEYWORDS

    1. Female infertility
    2. Bioinformatics
    3. Next-generation sequencing
    4. Genome-wide association studies
    5. Whole exome sequencing


Author Info

Manisha Ray1, Asish Ranjan Sahoo2, Swetasmita Mishra1

1Department of Pathology and Lab Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
2Department of Reproductive Medicine and Surgery, Siksha 'O' Anusandhan University, Bhubanesawar, Odisha, India
kavyasmita@gmail.com

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