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A multi-ancestry genome-wide association study identifies novel candidate loci in the RARB gene associated with hypertensive disorders of pregnancy

Mack, J. A.; Burkholder, A.; Akhtari, F. S.; House, J. S.; Sovio, U.; Smith, G. C. S.; Schmitt, C. P.; Fargo, D. C.; Hall, J. E.; Motsinger-Reif, A. A.

2023-11-01 obstetrics and gynecology
10.1101/2023.10.30.23297806 medRxiv
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BackgroundGenetic factors related to pregnancy-related traits are understudied, especially among ancestrally diverse cohorts. This study assessed maternal contributions to hypertensive disorders of pregnancy (HDP) in multi-ancestry cohorts. MethodsWe performed a genome-wide association study of HDP using data from the Personalized Environment and Genes Study (PEGS) cohort (USA) with validation in the UK Biobank (UKBB). We performed gene-level and gene-set analyses and tested the association of polygenic scores (PGS) for systolic blood pressure (SBP), preeclampsia (PE), and gestational hypertension (GH). ResultsWe identified two novel maternal genome-wide significant associations with HDP. The lead independent variants were rs114954125 on chromosome 2 (near LRP1B; OR (95% CI): 3.03 (2.05, 4.49); P=3.19 - 10-8) and rs61176331 on chromosome 3 (near RARB; OR (95% CI): 3.09 (2.11, 4.53); P=7.97x10-9). We validated rs61176331 in the UKBB (P=3.73 - 10-2). When aggregating SNPs by genes, RARB (P=1.36 - 10-3) and RN7SL283P (P=2.56 - 10-2) were associated with HDP. Inflammatory and immunological biological pathways were most strongly related to HDP-associated genes. While all blood pressure and HDP-related PGS were significantly associated with HDP in PEGS, the SBP PGS was a stronger predictor of HDP (area under the curve (AUC): 0.57; R2=0.7%) compared to the PE PGS (AUC: 0.53; R2=0.2%). ConclusionOur study is the first to identify and validate maternal genetic variants near RARB associated with HDP. The findings demonstrate the power of multi-ancestry studies for genetic discovery and highlight the relationship between immune response and HDP and the utility of PGS for risk prediction. ClinicalTrials.gov Identifier for PEGS: NCT00341237

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