Maternal Smoking during Pregnancy Interacts with Genetic Factors to Increase Risk for Low Birth Weight but not Harmful Offspring Smoking Behaviors in Europeans

Pamela N Romero Villela; Kristen M Kelly; Jared V Balbona; Marissa A Ehringer; Matthew C Keller

doi:10.1093/ntr/ntae310

Maternal Smoking during Pregnancy Interacts with Genetic Factors to Increase Risk for Low Birth Weight but not Harmful Offspring Smoking Behaviors in Europeans

Nicotine Tob Res. 2024 Dec 26:ntae310. doi: 10.1093/ntr/ntae310. Online ahead of print.

Authors

Pamela N Romero Villela^{1

2}, Kristen M Kelly¹, Jared V Balbona¹, Marissa A Ehringer^{1

3}, Matthew C Keller^{1

2}

Affiliations

¹ Institute for Behavioral Genetics, University of Colorado, Boulder.
² Department of Psychology and Neuroscience, University of Colorado, Boulder.
³ Department of Integrative Physiology, University of Colorado, Boulder.

PMID: 39722218
DOI: 10.1093/ntr/ntae310

Abstract

Introduction: Pregnant individuals who smoke face increased health risks because smoking harms both the mother and their developing offspring.

Methods: Using 307 417 Europeans from the UK Biobank, we examined whether exposure to maternal smoking during pregnancy (MSP) interacts with genetic risk to predict offspring birth weight (BW) and smoking behaviors. We investigated interactions between MSP and genetic risk at multiple levels: single variant, gene-level, and polygenic score. We examined self-reported BW, smoking initiation status (SI), age of smoking initiation, cigarettes per day, and smoking cessation status.

Results: One locus tagged by SNP rs72689499 on chromosome 14 reached significance for an interaction with MSP on the multiplicative (log10) scale for BW (p = 5.13x10-9). In gene-level testing, three genes on chromosome 1 and one gene on chromosome 14 reached significance for an interaction with MSP on both the additive and multiplicative scale for BW. These genes include: PTCH2, EIF2B3, PLK3, and TSHR. SNP and gene-level results were insignificant for all offspring smoking behaviors. We also detected an interaction between polygenic risk for smoking and MSP on SI on both the additive (p = 4.4x10-5) and multiplicative (p = 1.0x10-5) scale. We found evidence of gene-environment correlation in the polygenic risk analysis using a post-hoc t-test which showed that MSP-exposed offspring had a higher SI PGS than those unexposed to MSP (p = 5.9x10-623).

Conclusions: Our results support the main effect of MSP on BW and show a genetic interaction between MSP and genetic factors influencing BW.

Implications: We detected interactions between maternal smoking and genetic factors to influence birth weight; these interactions were detectable at both the SNP and gene level. Many of the genes detected to interact with maternal smoking to influence birth weight have other reported associations with height or smoking-related traits. For smoking initiation, we detected a negative interaction between maternal smoking and polygenic risk, as well as evidence of gene-environment correlation.

Keywords: G×E; birthweight; cigarettes per day; gwas; interaction; magma; maternal smoking; smoking behaviors; smoking cessation; smoking initiation.

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