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Related Experiment Video

Updated: May 24, 2026

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
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Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

A bioinformatics approach to preterm birth.

Alper Uzun1, Surendra Sharma, James Padbury

  • 1Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, USA.

American Journal of Reproductive Immunology (New York, N.Y. : 1989)
|March 6, 2012
PubMed
Summary

Researchers identified genetic variants linked to preterm birth using a novel bioinformatics approach. This study organizes genetic information, creating a valuable resource for understanding preterm birth causes.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Reproductive Medicine

Background:

  • Preterm birth has a significant genetic component, but a comprehensive analysis of associated genetic variants is lacking.
  • Existing literature suggests genetic factors influence preterm birth, yet a structured approach to identify and stratify these variants is needed.

Purpose of the Study:

  • To develop a novel bioinformatics approach for identifying genetic variants associated with preterm birth.
  • To create an organized analysis and stratification of genetic variants involved in preterm birth pathogenesis.
  • To establish a centralized, web-based resource for preterm birth genetic research.

Main Methods:

  • Utilized semantic data mining to extract relevant articles on preterm birth.
  • Aggregated genes from public databases, expression arrays, and literature curation.

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Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
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  • Employed pathway analysis to impute additional relevant genes.
  • Developed the database for preterm birth (dbPTB) as a web-based tool.

    • Main Results:

    • Successfully identified nominal genetic variants associated with preterm birth.
    • Integrated curated genetic information and published literature into a unified database.
    • dbPTB provides a comprehensive resource for researchers investigating the genetic basis of preterm birth.

    Conclusions:

    • The novel bioinformatics approach effectively identifies genetic variants implicated in preterm birth.
    • The database for preterm birth (dbPTB) serves as a unique and valuable resource for the scientific community.
    • This work facilitates further investigation into the genetic etiology of preterm birth.