Browsing by Author "Hahn, Matthew W."

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    Association of Genetic Predisposition and Physical Activity With Risk of Gestational Diabetes in Nulliparous Women
    (American Medical Association, 2022-08-01) Pagel, Kymberleigh A.; Chu, Hoyin; Ramola, Rashika; Guerrero, Rafael F.; Chung, Judith H.; Parry, Samuel; Reddy, Uma M.; Silver, Robert M.; Steller, Jonathan G.; Yee, Lynn M.; Wapner, Ronald J.; Hahn, Matthew W.; Natarajan, Sriraam; Haas, David M.; Radivojac, Predrag; Obstetrics and Gynecology, School of Medicine
    Importance: Polygenic risk scores (PRS) for type 2 diabetes (T2D) can improve risk prediction for gestational diabetes (GD), yet the strength of the association between genetic and lifestyle risk factors has not been quantified. Objective: To assess the association of PRS and physical activity in existing GD risk models and identify patient subgroups who may receive the most benefits from a PRS or physical activity intervention. Design, settings, and participants: The Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be cohort was established to study individuals without previous pregnancy lasting at least 20 weeks (nulliparous) and to elucidate factors associated with adverse pregnancy outcomes. A subcohort of 3533 participants with European ancestry was used for risk assessment and performance evaluation. Participants were enrolled from October 5, 2010, to December 3, 2013, and underwent genotyping between February 19, 2019, and February 28, 2020. Data were analyzed from September 15, 2020, to November 10, 2021. Exposures: Self-reported total physical activity in early pregnancy was quantified as metabolic equivalents of task (METs). Polygenic risk scores were calculated for T2D using contributions of 84 single nucleotide variants, weighted by their association in the Diabetes Genetics Replication and Meta-analysis Consortium data. Main outcomes and measures: Estimation of the development of GD from clinical, genetic, and environmental variables collected in early pregnancy, assessed using measures of model discrimination. Odds ratios and positive likelihood ratios were used to evaluate the association of PRS and physical activity with GD risk. Results: A total of 3533 women were included in this analysis (mean [SD] age, 28.6 [4.9] years). In high-risk population subgroups (body mass index ≥25 or aged ≥35 years), individuals with high PRS (top 25th percentile) or low activity levels (METs <450) had increased odds of a GD diagnosis of 25% to 75%. Compared with the general population, participants with both high PRS and low activity levels had higher odds of a GD diagnosis (odds ratio, 3.4 [95% CI, 2.3-5.3]), whereas participants with low PRS and high METs had significantly reduced risk of a GD diagnosis (odds ratio, 0.5 [95% CI, 0.3-0.9]; P = .01). Conclusions and relevance: In this cohort study, the addition of PRS was associated with the stratified risk of GD diagnosis among high-risk patient subgroups, suggesting the benefits of targeted PRS ascertainment to encourage early intervention.
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    Genetic polymorphisms associated with adverse pregnancy outcomes in nulliparas
    (Springer Nature, 2024-05-07) Khan, Raiyan R.; Guerrero, Rafael F.; Wapner, Ronald J.; Hahn, Matthew W.; Raja, Anita; Salleb‑Aouissi, Ansaf; Grobman, William A.; Simhan, Hyagriv; Silver, Robert M.; Chung, Judith H.; Reddy, Uma M.; Radivojac, Predrag; Pe’er, Itsik; Haas, David M.; Obstetrics and Gynecology, School of Medicine
    Adverse pregnancy outcomes (APOs) affect a large proportion of pregnancies and represent an important cause of morbidity and mortality worldwide. Yet the pathophysiology of APOs is poorly understood, limiting our ability to prevent and treat these conditions. To search for genetic markers of maternal risk for four APOs, we performed multi-ancestry genome-wide association studies (GWAS) for pregnancy loss, gestational length, gestational diabetes, and preeclampsia. We clustered participants by their genetic ancestry and focused our analyses on three sub-cohorts with the largest sample sizes: European, African, and Admixed American. Association tests were carried out separately for each sub-cohort and then meta-analyzed together. Two novel loci were significantly associated with an increased risk of pregnancy loss: a cluster of SNPs located downstream of the TRMU gene (top SNP: rs142795512), and the SNP rs62021480 near RGMA. In the GWAS of gestational length we identified two new variants, rs2550487 and rs58548906 near WFDC1 and AC005052.1, respectively. Lastly, three new loci were significantly associated with gestational diabetes (top SNPs: rs72956265, rs10890563, rs79596863), located on or near ZBTB20, GUCY1A2, and RPL7P20, respectively. Fourteen loci previously correlated with preterm birth, gestational diabetes, and preeclampsia were found to be associated with these outcomes as well.
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    Searching and visualizing genetic associations of pregnancy traits by using GnuMoM2b
    (Oxford University Press, 2023) Yan, Qi; Guerrero, Rafael F.; Khan, Raiyan R.; Surujnarine, Andy A.; Wapner, Ronald J.; Hahn, Matthew W.; Raja, Anita; Salleb-Aouissi, Ansaf; Grobman, William A.; Simhan, Hyagriv; Blue, Nathan R.; Silver, Robert; Chung, Judith H.; Reddy, Uma M.; Radivojac, Predrag; Pe’er, Itsik; Haas, David M.; Obstetrics and Gynecology, School of Medicine
    Adverse pregnancy outcomes (APOs) are major risk factors for women's health during pregnancy and even in the years after pregnancy. Due to the heterogeneity of APOs, only few genetic associations have been identified. In this report, we conducted genome-wide association studies (GWASs) of 479 traits that are possibly related to APOs using a large and racially diverse study, Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b). To display extensive results, we developed a web-based tool GnuMoM2b (https://gnumom2b.cumcobgyn.org/) for searching, visualizing, and sharing results from a GWAS of 479 pregnancy traits as well as phenome-wide association studies of more than 17 million single nucleotide polymorphisms. The genetic results from 3 ancestries (Europeans, Africans, and Admixed Americans) and meta-analyses are populated in GnuMoM2b. In conclusion, GnuMoM2b is a valuable resource for extraction of pregnancy-related genetic results and shows the potential to facilitate meaningful discoveries.