Harnessing the full potential of reproductive genetics and epigenetics for male infertility in the era of “big data”

Darshan P. Patel; Tim G. Jenkins; Kenneth I. Aston; Jingtao Guo; Alexander W. Pastuszak; Heidi A. Hanson; James M. Hotaling

doi:10.1016/j.fertnstert.2020.01.001

Harnessing the full potential of reproductive genetics and epigenetics for male infertility in the era of “big data”

Darshan P. Patel
, Tim G. Jenkins
, Kenneth I. Aston
, Jingtao Guo
, Alexander W. Pastuszak
, Heidi A. Hanson
, James M. Hotaling

Research output: Contribution to journal › Review article › peer-review

26 Scopus citations

Abstract

The complexity of male reproductive impairment has hampered characterization of the underlying genetic causes of male infertility. However, in the last 20 years, more powerful and affordable tools to interrogate the genetic and epigenetic determinants of male infertility have accelerated the number of new discoveries in the characterization of male infertility. With this explosion of new data, integration in a systems-based approach—including complete phenotypic information—to male infertility is imperative. We briefly review the current understanding of genetic and epigenetic causes of male infertility and how findings may be translated into a practical component for the diagnosis and treatment of male infertility.

Original language	English
Pages (from-to)	478-488
Number of pages	11
Journal	Fertility and Sterility
Volume	113
Issue number	3
DOIs	https://doi.org/10.1016/j.fertnstert.2020.01.001
State	Published - Mar 2020
Externally published	Yes

Funding

This work is supported by National Institute of Health (5R01HD078641-05, awarded to KIA) and the Howard Hughes Medical Institute (P30CA042014) from the National Cancer Institute to Huntsman Cancer Institute for core facilities.

Keywords

Big data
epigenomics
genetic
genomics
male infertility
polymorphism

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10.1016/j.fertnstert.2020.01.001

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title = "Harnessing the full potential of reproductive genetics and epigenetics for male infertility in the era of “big data”",

abstract = "The complexity of male reproductive impairment has hampered characterization of the underlying genetic causes of male infertility. However, in the last 20 years, more powerful and affordable tools to interrogate the genetic and epigenetic determinants of male infertility have accelerated the number of new discoveries in the characterization of male infertility. With this explosion of new data, integration in a systems-based approach—including complete phenotypic information—to male infertility is imperative. We briefly review the current understanding of genetic and epigenetic causes of male infertility and how findings may be translated into a practical component for the diagnosis and treatment of male infertility.",

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AU - Patel, Darshan P.

AU - Jenkins, Tim G.

AU - Aston, Kenneth I.

AU - Guo, Jingtao

AU - Pastuszak, Alexander W.

AU - Hanson, Heidi A.

AU - Hotaling, James M.

PY - 2020/3

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N2 - The complexity of male reproductive impairment has hampered characterization of the underlying genetic causes of male infertility. However, in the last 20 years, more powerful and affordable tools to interrogate the genetic and epigenetic determinants of male infertility have accelerated the number of new discoveries in the characterization of male infertility. With this explosion of new data, integration in a systems-based approach—including complete phenotypic information—to male infertility is imperative. We briefly review the current understanding of genetic and epigenetic causes of male infertility and how findings may be translated into a practical component for the diagnosis and treatment of male infertility.

AB - The complexity of male reproductive impairment has hampered characterization of the underlying genetic causes of male infertility. However, in the last 20 years, more powerful and affordable tools to interrogate the genetic and epigenetic determinants of male infertility have accelerated the number of new discoveries in the characterization of male infertility. With this explosion of new data, integration in a systems-based approach—including complete phenotypic information—to male infertility is imperative. We briefly review the current understanding of genetic and epigenetic causes of male infertility and how findings may be translated into a practical component for the diagnosis and treatment of male infertility.

KW - Big data

KW - epigenomics

KW - genetic

KW - genomics

KW - male infertility

KW - polymorphism

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AN - SCOPUS:85079845878

SN - 0015-0282

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EP - 488

JO - Fertility and Sterility

JF - Fertility and Sterility

IS - 3

ER -

Harnessing the full potential of reproductive genetics and epigenetics for male infertility in the era of “big data”

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Keywords

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