Genetic landscape of preterm birth due to cervical insufficiency: Comprehensive gene analysis and patient next-generation sequencing data interpretation

18Citations
Citations of this article
48Readers
Mendeley users who have this article in their library.

Abstract

Preterm delivery is both a traumatizing experience for the patient and a burden on the healthcare system. A condition distinguishable by its phenotype in prematurity is cervical insufficiency, where certain cases exhibit a strong genetic component. Despite genomic advancements, little is known about the genetics of human cervix remodeling during pregnancy. Using selected gene approaches, a few studies have demonstrated an association of common gene variants with cervical insufficiency. However, until now, no study has employed comprehensive methods to investigate this important subject matter. In this study, we asked: i) are there genes reliably linked to cervical insufficiency and, if so, what are their roles? and ii) what is the proportion of cases of non-syndromic cervical insufficiency attributable to these genetic variations? We performed next-generation sequencing on 21 patients with a clinical presentation of cervical insufficiency. To assist the sequencing data interpretation, we retrieved all known genes implicated in cervical functioning through a systematic literature analysis and additional gene searches. These genes were then classified according to their relation to the questions being posed by the study. Patients' sequence variants were filtered for pathogenicity and assigned a likelihood of being contributive to phenotype development. Gene extraction and analysis revealed 12 genes primarily linked to cervical insufficiency, the majority of which are known to cause collagenopathies. Ten patients carried disruptive variants potentially contributive to the development of non-syndromic cervical insufficiency. Pathway enrichment analysis of variant genes from our cohort revealed an increased variation burden in genes playing roles in tissue mechanical and biomechanical properties, i.e. collagen biosynthesis and cell-extracellular matrix communications. Consequently, the proposed idea of cervical insufficiency being a subtle form of collagenopathy, now strengthened by our genetic findings, might open up new opportunities for improved patient evaluation and management.

References Powered by Scopus

Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

23476Citations
N/AReaders
Get full text

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

9635Citations
N/AReaders
Get full text

A general framework for estimating the relative pathogenicity of human genetic variants

4581Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Spontaneous preterm birth: Involvement of multiple feto-maternal tissues and organ systems, differing mechanisms, and pathways

37Citations
N/AReaders
Get full text

Novel regulatory roles of small leucine-rich proteoglycans in remodeling of the uterine cervix in pregnancy

16Citations
N/AReaders
Get full text

Development and validation of a model for individualized prediction of cervical insufficiency risks in patients undergoing IVF/ICSI treatment

12Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Volozonoka, L., Rots, D., Kempa, I., Kornete, A., Rezeberga, D., Gailite, L., & Miskova, A. (2020). Genetic landscape of preterm birth due to cervical insufficiency: Comprehensive gene analysis and patient next-generation sequencing data interpretation. PLoS ONE, 15(3). https://doi.org/10.1371/journal.pone.0230771

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

64%

Researcher 3

27%

Professor / Associate Prof. 1

9%

Readers' Discipline

Tooltip

Medicine and Dentistry 9

64%

Chemistry 2

14%

Nursing and Health Professions 2

14%

Engineering 1

7%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 125

Save time finding and organizing research with Mendeley

Sign up for free