Literature DB >> 35976607

Genes, exposures, and interactions on preterm birth risk: an exploratory study in an Argentine population.

Dario E Elias1, Maria R Santos2,3,4, Hebe Campaña2,3, Fernando A Poletta2,5, Silvina L Heisecke6, Juan A Gili2,7, Julia Ratowiecki2, Viviana Cosentino2,8, Rocio Uranga2,9, Diana Rojas Málaga10, Alice Brinckmann Oliveira Netto10, Ana Carolina Brusius-Facchin10, César Saleme11, Mónica Rittler2,12, Hugo B Krupitzki6,13, Jorge S Lopez Camelo2,5, Lucas G Gimenez2,5.   

Abstract

Preterm birth (PTB) is the main condition related to perinatal morbimortality worldwide. The aim of this study was to identify associations of spontaneous PTB with genetic variants, exposures, and interactions between and within them. We carried out a retrospective case-control study including parental sociodemographic and obstetric data, and fetal genetic variants. We sequenced the coding and flanking regions of five candidate genes from the placental blood cord of 69 preterm newborns and 61 at term newborns. We identify the characteristics with the greatest predictive power of PTB using penalized regressions, in which we include exposures (E), genetic variants (G), and two-way interactions. Few prenatal visits (< 5) was the main predictor of PTB from 26 G, 35 E, 299 G × G, 564 E × E, and 875 G × E evaluated terms. Within the fetal genetic characteristics, we observed associations of rs4845397 (KCNN3, allele T) variant; G × G interaction between rs12621551 (COL4A3, allele T) and rs73993878 (COL4A3, allele A), which showed sensitivity to anemia; and G × G interaction between rs11680670 (COL4A3, allele T) and rs2074351 (PON1, allele A), which showed sensitivity to vaginal discharge. The results of this exploratory study suggest that social disparities and metabolic pathways linked to uterine relaxation, inflammation/infections, and collagen metabolism would be involved in PTB etiology. Future studies with a larger sample size are necessary to confirm these findings and to analyze a greater number of exposures.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Gene-environment interaction; Gene–gene interaction; Healthcare disparities; Preterm birth

Year:  2022        PMID: 35976607     DOI: 10.1007/s12687-022-00605-z

Source DB:  PubMed          Journal:  J Community Genet        ISSN: 1868-310X


  54 in total

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Journal:  Lancet       Date:  2013-06-06       Impact factor: 79.321

5.  ECLAMC: the Latin-American collaborative study of congenital malformations.

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Journal:  Community Genet       Date:  2004

Review 6.  Paraoxonases and infectious diseases.

Authors:  Jordi Camps; Simona Iftimie; Anabel García-Heredia; Antoni Castro; Jorge Joven
Journal:  Clin Biochem       Date:  2017-04-19       Impact factor: 3.281

7.  A LASSO FOR HIERARCHICAL INTERACTIONS.

Authors:  Jacob Bien; Jonathan Taylor; Robert Tibshirani
Journal:  Ann Stat       Date:  2013-06       Impact factor: 4.028

8.  SNP selection in genome-wide and candidate gene studies via penalized logistic regression.

Authors:  Kristin L Ayers; Heather J Cordell
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

9.  A systematic comparison of statistical methods to detect interactions in exposome-health associations.

Authors:  Jose Barrera-Gómez; Lydiane Agier; Lützen Portengen; Marc Chadeau-Hyam; Lise Giorgis-Allemand; Valérie Siroux; Oliver Robinson; Jelle Vlaanderen; Juan R González; Mark Nieuwenhuijsen; Paolo Vineis; Martine Vrijheid; Roel Vermeulen; Rémy Slama; Xavier Basagaña
Journal:  Environ Health       Date:  2017-07-14       Impact factor: 5.984

10.  Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US: A Systematic Review.

Authors:  Bruce Bekkar; Susan Pacheco; Rupa Basu; Nathaniel DeNicola
Journal:  JAMA Netw Open       Date:  2020-06-01
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