Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women

María Arnoriaga-Rodríguez
ORCID logo ,
Irene Serrano
ORCID logo ,
Mateo Paz-Cabezas
,
Ana Barabash
,
Johanna Valerio
ORCID logo ,
Laura Del Valle
ORCID logo ,
Rocio Martin O´Connor
,
Verónica Melero
,
María Paz De Miguel Novoa
,
Angel Díiaz
ORCID logo ,
Cristina Familiar
,
Inmaculada Moraga
,
Mario Pazos
ORCID logo ,
Mercedes Martinez-Novillo
,
Miguel Ángel Rubio Herrera
ORCID logo ,
Clara Marcuello
,
Ana M. Ramos-Leví
ORCID logo ,
Pilar Matía-Martín
* ORCID logo ,
Alfonso Calle-Pascual
*
Version 1 : Received: 5 March 2024 / Approved: 8 March 2024 / Online: 11 March 2024 (09:29:04 CET)

A peer-reviewed article of this Preprint also exists.

Arnoriaga-Rodríguez, M.; Serrano, I.; Paz, M.; Barabash, A.; Valerio, J.; del Valle, L.; O’Connors, R.; Melero, V.; de Miguel, P.; Diaz, Á.; Familiar, C.; Moraga, I.; Pazos-Guerra, M.; Martínez-Novillo, M.; Rubio, M.A.; Marcuello, C.; Ramos-Leví, A.; Matia-Martín, P.; Calle-Pascual, A.L. A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women. Genes 2024, 15, 482. Arnoriaga-Rodríguez, M.; Serrano, I.; Paz, M.; Barabash, A.; Valerio, J.; del Valle, L.; O’Connors, R.; Melero, V.; de Miguel, P.; Diaz, Á.; Familiar, C.; Moraga, I.; Pazos-Guerra, M.; Martínez-Novillo, M.; Rubio, M.A.; Marcuello, C.; Ramos-Leví, A.; Matia-Martín, P.; Calle-Pascual, A.L. A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women. Genes 2024, 15, 482.

Abstract

Gestational diabetes mellitus (GDM) pathophysiology comprises clinical and genetic factors. In fact, GDM has been associated with several single nucleotide polymorphisms (SNPs). This study aimed to build a prediction model of GDM combining clinical and genetic risk factors. A total of 1588 pregnant women from the San Carlos Cohort participated in the present study, 1069 (67.3%) Caucasian (CAU) and 519 (32.7%) Latin American (LAT), 255 (16.1%) with GDM. The incidence of GDM was similar in both groups (16.1% CAU and 16.0% LAT). Genotyping was performed by IPLEX Mass ARRAY PCR selecting 110 SNPs based on literature references. The SNPs showing the strongest likelihood of GDM development were the rs10830963, rs7651090 and rs1371614 in CAU and rs1387153 and the rs9368222 in LAT. Clinical variables including age, pre-pregnancy body mass index and fasting plasma glucose (FPG) at 12 gestational weeks predicted the risk of GDM (AUC 0.648, 95%CI 0.601-0.695 in CAU; AUC 0.688, 95%CI 0.628-9.748 in LAT) and adding the SNPs modestly improved prediction (AUC 0.722, 95%CI 0.680-0.764 in CAU; AUC 0.769, 95%CI 0.711-0.826 in LAT). In conclusion, adding genetic variants enhanced the prediction model of GDM risk in CAU and LAT pregnant women. An RCT is underway to demonstrate its usefulness

Keywords

Gestational Diabetes Mellitus; Caucasian; Latin American; age; body mass index; fasting plasma glucose; single-nucleotide polymorphisms.; women

Subject

Medicine and Pharmacology, Endocrinology and Metabolism

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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