Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches

Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease’s etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation’s inherent complexity. Sanger sequencing (direct sequencing) of...

Descripción completa

Detalles Bibliográficos
Autores Principales: Quintero-Ronderos P., Laissue P.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: SAGE Publications Inc. 2019
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22925
https://doi.org/10.1177/1933719119831769
id ir-10336-22925
recordtype dspace
spelling ir-10336-229252022-05-02T12:37:14Z Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches Quintero-Ronderos P. Laissue P. Miscarriage Molecular implantation Next generation sequencing Recurrent pregnancy loss Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease’s etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation’s inherent complexity. Sanger sequencing (direct sequencing) of candidate genes has identified potential RPL causative genes (and variants), including those regulating embryo implantation and pregnancy maintenance. Although this approach is a reliable technique, the simultaneous analysis of large genomic regions is challenging. Next-generation sequencing (NGS) technology has thus emerged as a useful alternative for determining genetic variants and transcriptomic disturbances contributing to monogenic and polygenic diseases pathogenesis. However, interpreting results remains challenging as NGS experiments provide an enormous amount of complex data. The molecular aspects of specific diseases must be fully understood for accurate interpretation of NGS data. This review was thus aimed at describing (for the first time) the most relevant studies involving Sanger and NGS sequencing, leading to the description of variants related to RPL pathogenesis. Successful RPL-related NGS initiatives (including RNAseq-based studies) and future challenges are discussed. We consider that the information given here should be useful for clinicians, scientists, and students to enable a better understanding of RPL etiology. It may also provide a basis for the development of diagnostic/prognostic approaches contributing toward translational medicine. © The Author(s) 2019. 2019 2020-05-25T23:58:45Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 19337191 https://repository.urosario.edu.co/handle/10336/22925 https://doi.org/10.1177/1933719119831769 eng info:eu-repo/semantics/openAccess application/pdf SAGE Publications Inc. instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Miscarriage
Molecular implantation
Next generation sequencing
Recurrent pregnancy loss
spellingShingle Miscarriage
Molecular implantation
Next generation sequencing
Recurrent pregnancy loss
Quintero-Ronderos P.
Laissue P.
Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
description Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease’s etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation’s inherent complexity. Sanger sequencing (direct sequencing) of candidate genes has identified potential RPL causative genes (and variants), including those regulating embryo implantation and pregnancy maintenance. Although this approach is a reliable technique, the simultaneous analysis of large genomic regions is challenging. Next-generation sequencing (NGS) technology has thus emerged as a useful alternative for determining genetic variants and transcriptomic disturbances contributing to monogenic and polygenic diseases pathogenesis. However, interpreting results remains challenging as NGS experiments provide an enormous amount of complex data. The molecular aspects of specific diseases must be fully understood for accurate interpretation of NGS data. This review was thus aimed at describing (for the first time) the most relevant studies involving Sanger and NGS sequencing, leading to the description of variants related to RPL pathogenesis. Successful RPL-related NGS initiatives (including RNAseq-based studies) and future challenges are discussed. We consider that the information given here should be useful for clinicians, scientists, and students to enable a better understanding of RPL etiology. It may also provide a basis for the development of diagnostic/prognostic approaches contributing toward translational medicine. © The Author(s) 2019.
format Artículo (Article)
author Quintero-Ronderos P.
Laissue P.
author_facet Quintero-Ronderos P.
Laissue P.
author_sort Quintero-Ronderos P.
title Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
title_short Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
title_full Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
title_fullStr Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
title_full_unstemmed Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches
title_sort genetic variants contributing to early recurrent pregnancy loss etiology identified by sequencing approaches
publisher SAGE Publications Inc.
publishDate 2019
url https://repository.urosario.edu.co/handle/10336/22925
https://doi.org/10.1177/1933719119831769
_version_ 1740172640518144000
score 12,131701