High genetic risk tied to gestational diabetes and family history

News
Article

A study found that women with a family history of diabetes and prior gestational diabetes have the highest polygenic risk scores.

High genetic risk tied to gestational diabetes and family history | Image Credit: © Phushutter - © Phushutter - stock.adobe.com.

High genetic risk tied to gestational diabetes and family history | Image Credit: © Phushutter - © Phushutter - stock.adobe.com.

A study published in Pregnancy highlighted that patients with a positive family history of diabetes and personal history of gestational diabetes mellitus (GDM) have the highest polygenic risk score (PRS).1

One in 10 US pregnancies is impacted by GDM, which has been linked to an increase in type 2 diabetes mellitus (T2DM) risk greater than 7-fold. Being born to a mother with GDM has also been linked to increased T2DM and obesity risks.2 PRS may be used to predict diabetes risk, but few studies have used PRS scores with clinical characteristics.1

“By integrating additional predictive characteristics, such as sociodemographics, behavioral, and biochemical factors, this could improve accuracy for a GDM risk prediction model, and help stratify individuals who may benefit from knowing their PRS to determine optimal intervention strategies,” wrote investigators.

Genetic analysis

The secondary analysis was conducted to evaluate clinical characteristics in PRS quartiles. Patients were recruited from the Hoosier Mom's Cohort (HMC), which prioritized patients with a higher GDM risk. Eligibility criteria included being aged at least 18 years with a single gestation of less than 20 weeks.

Patients with any pre-gestational diabetes, a first-trimester HbA1c screening of 6.5% or higher, planned pregnancy termination, chronic systemic steroid use, or major fetal anomalies were excluded from the analysis. Two visits occurred in the prenatal period and at delivery, with survey data and biospecimens collected at these visits.

A QIAsymphony instrument was used to complete DNA extraction, while genotyping was performed using the Infinium Global Diversity Array-8 v1.0. Genetic data were used to validate loci linked to diabetes and assess the performance of reported diabetes PRS. Investigators excluded patients with missing phenotype information.

PRS quartile comparison

There were 391 patients aged a mean 29.7 years and with a mean body mass index of 27.8 included in the final analysis. Of patients, 16.6% were Hispanic, 71.4% White, and 15.9% Black. A family history of diabetes was reported in 54% and prior GDM in 4.3%. A similar ancestry-adjusted PRS was reported in the cohort vs a large, nulliparous population.

Patients were categorized into 4 quartiles, with quartile 1 indicating the lowest genetic risk and quartile 4 the highest. Maternal characteristics did not significantly differ between PRS quartiles, but quartile 4 had higher rates of family diabetes history and prior GDM, at 61.9% and 8.2%, respectively.

In comparison, a family history of diabetes was reported in 46.4% of quartile 1. Additionally, when comparing quartiles 1 and 2 compared to quartiles 3 and 4, the higher risk group had increased GDM rates, at 12.8% vs 7.1% in the lower risk group.

Racial and ethnic differences across quartiles

Significant differences in race and ethnicity status were also noted between PRS quartiles. Self-reported racial minority status was reported in 68.1% of quartile 4 vs 3% of quartile 1, and Hispanic ethnicity rates were 29.2% and 9%, respectively.

Lower educational attainment and reduced gestational age at delivery were also reported in quartile 4 vs quartile 1, at 38.1 ± 2.5 weeks vs. 38.7 ± 2.1 weeks, respectively. Additionally, birth weights were 3067.7 vs. 3344.9, respectively, and cholesterol levels were 187.9 ± 36.5 vs. 201.7 ± 43.3, respectively.

These results indicated higher GDM rates among patients in higher risk quartiles of GDM. Investigators concluded that this data may be used to inform the development of GDM prevention strategies.

“Using ancestry-adjusted PRS calculations was able to account for differences in baseline demographic characteristics such as race and ethnicity, and thus are likely preferred to isolate the PRS effects on outcomes,” wrote investigators.

References

  1. Ellis A, Bhamidipaty-Pelosi S, Aamir M, Kotarski A, Guerrero RF, Haas DM. Diabetes polygenic risk scores and maternal characteristics in Hoosier Moms Cohort participants. Pregnancy. 2025. doi:10.1002/pmf2.70087
  2. ACOG practice bulletin no. 190: Gestational diabetes mellitus. Obstet Gynecol. 2018;131(2):e49-e64. doi:10.1097/AOG.0000000000002501

Newsletter

Get the latest clinical updates, case studies, and expert commentary in obstetric and gynecologic care. Sign up now to stay informed.

Recent Videos
Melissa Furlong, PhD, links neighborhood deprivation to gestational diabetes risk | Image Credit: linkedin.com.
Katrina Kimport, PhD, notes how clinicians can support pregnant patients facing delays in care | Image Credit: ansirh.org.
Katrina Kimport, PhD, highlights how abortion bans are leading to substandard pregnancy care | Image Credit: ansirh.org.
© 2025 MJH Life Sciences

All rights reserved.