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Research ArticleArticles
Open Access

The Interplay between Maternal Smoking and Genes in Offspring Birth Weight

View ORCID ProfileRita Dias Pereira, Cornelius A. Rietveld and Hans van Kippersluis
Journal of Human Resources, March 2025, 60 (2) 400-433; DOI: https://doi.org/10.3368/jhr.1020-11266R2
Rita Dias Pereira
Rita Dias Pereira is affiliated with Erasmus School of Economics, Erasmus University Rotterdam, and Tinbergen Institute .
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  • For correspondence: [email protected]
Cornelius A. Rietveld
Cornelius A. Rietveld is affiliated with Erasmus School of Economics, Erasmus University Rotterdam, Tinbergen Institute, and Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam.
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Hans van Kippersluis
Hans van Kippersluis is affiliated with Erasmus School of Economics, Erasmus University Rotterdam, and Tinbergen Institute.
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    Figure 1

    Relationship between Birth Weight and the Polygenic Score (PGS) for Birth Weight in ALSPAC

    Notes: Estimated using a nonparametric regression with a kernel density function for continuous covariates.

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    Figure 2

    Results of the Reduced Form OLS Regressions Explaining Birth Weight Based on Quartiles of the Distribution of the Child’s Polygenic Score (PGS) for Birth Weight

    Notes: The figure display the coefficients with their robust 95 percent confidence intervals in ALSPAC and UK Biobank (UKB). More details about these regressions are available in Online Appendix A.14.

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    Table 1

    Descriptive Statistics of the Main Analysis Sample (ALSPAC)

    MeanSDMin.Max.N
    Outcome Variable
    Birth weight (grams)3,406.24556.607035,6007,598
    Main Explanatory Variables
    Smoking regularly0.220.42017,417
    Smoking regularly (adjusted)0.310.46012,777
    Number of cigarettes smoked per day2.025.090517,598
    Number of cigarettes smoked per day (adjusted)4.966.640513,784
    Cotinine (ng/mL)743.761,923.57024,6742,844
    Birth weight PGS (child)0.001.00–335,006
    Instrumental Variable
    rs10517300.670.67027,598
    Control Variables
    Mother’s birth weight (grams)3,269.01601.439096,1084,541
    Mother’s age (years)28.474.6615447,598
    Mother’s marital status (married = 1)0.780.41017,540
    Mother’s education (categories)3.651.61065,484
    Mother’s social class (categories)2.851.07166,141
    Grandmother’s education (categories)2.451.29154,267
    • Notes: SD, standard deviation; Min., minimum; Max., maximum; PGS, polygenic score.

    • View popup
    Table 2

    Results of the OLS Regressions Explaining the Child’s Birth Weight in ALSPAC

    (1)(2)(3)(4)(5)(6)(7)(8)
    #Cigarettes smoked per day–14.8**–12.7**–13.4**–13.7**
    (1.3)(1.3)(1.7)(1.7)
    #Cigarettes smoked per day (adjusted)–12.0**–8.3**–9.4**–9.5**
    (1.3)(1.5)(1.8)(1.8)
    Birth weight PGS (child)108.2**104.6**118.5**112.8**
    (7.0)(7.4)(10.0)(12.0)
    #Cig. smoked per day × Birth weight PGS2.2
    (1.5)
    #Cig. smoked per day (adj.) × Birth weight PGS1.3
    (1.6)
    Control variablesNoYesYesYesNoYesYesYes
    R-squared0.0190.0590.1010.1010.0210.0690.1280.128
    N7,5987,5985,0065,0063,7843,7842,4082,408
    • Notes: Coefficients are displayed with robust standard errors in parentheses; Columns 1–4 use the self-reported measure for smoking, and Columns 5–8 use the self-reported measure for smoking corrected using cotinine levels. PGS, polygenic score. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

    • View popup
    Table 3

    Results of the OLS (First Stage) Regressions Explaining Smoking in ALSPAC

    #Cigarettes Smoked per Day#Cigarettes Smoked per Day (Adjusted)
    (1)(2)(3)(4)
    rs10517300.5**0.4**0.6**0.6**
    (0.1)(0.1)(0.2)(0.1)
    Control variablesNoYesNoYes
    R-squared0.0040.1320.0050.202
    Effective F-statistic25.327.215.615.1
    N7,5987,5983,7843,784
    • Notes: Coefficients are displayed with robust standard errors in parentheses. Column 1–2 use the self-reported smoking measure, and Column 3–4 the self-reported smoking measure corrected using cotinine levels. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

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    Table 4

    Results of the OLS (Reduced Form) Regressions Explaining Birth Weight in ALSPAC

    Baseline Sample 1Smokers (Cotinine > 100 ng/mL)Nonsmokers (Cotinine < 100 ng/mL)
    (1)(2)(3)(4)(5)(6)
    rs1051730–16.7+–16.7+–42.9–66.9*8.59.3
    (9.6)(9.5)(29.3)(29.4)(17.8)(17.6)
    Control variablesNoYesNoYesNoYes
    R-squared0.0010.0400.0050.1240.0020.074
    N7,5987,5988288282,0142,014
    • Notes: Coefficients are displayed with robust standard errors in parentheses. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

    • View popup
    Table 5

    Results of the OLS (Reduced Form) Regressions Explaining the Control Variables in ALSPAC

    Mother’s Birth WeightMother’s AgeMother’s Marital StatusMother’s EducationMother’s Social ClassGrandmother’s Education
    rs1051730–19.5–0.0–0.0–0.10.0*0.1
    (13.3)(0.0)(0.0)(0.0)(0.0)(0.1)
    R-squared0.0010.0010.0010.0010.0010.000
    N4,5417,5404,2675,4846,1417,598
    • Notes: Coefficients are displayed with robust standard errors in parentheses. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

    • View popup
    Table 6

    Results of the 2SLS Regression Explaining Birth Weight in ALSPAC

    (1)(2)(3)(4)
    #Cigarettes smoked per day−36.7+−37.9+
    (21.1)(21.7)
    #Cigarettes smoked per day (adjusted)−36.5+−38.5
    (21.4)(23.9)
    Control variablesNoYesNoYes
    Effective F-statistic25.327.215.615.1
    N7,5987,5983,7843,784
    • Notes: Coefficients are displayed with robust standard errors in parentheses. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

    • View popup
    Table 7

    Results of the OLS (Reduced Form) Regression Explaining Birth Weight in ALSPAC

    (1)(2)
    rs1051730–1.4–3.4
    (10.9)(10.8)
    (–1) Birth weight PGS (child)–113.5**–103.0**
    (10.1)(10.0)
    rs1051730 × (–1) Birth weight PGS (child)–3.3–5.8
    (10.5)(10.4)
    Control variablesNoYes
    R-squared0.0450.086
    N5,0065,006
    • Notes: Coefficients are displayed with robust standard errors in parentheses. PGS, polygenic score. All regressions correct for genetic relatedness among the mothers using the first four principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

    • View popup
    Table 8

    Results of the OLS (Reduced Forms) Regressions Explaining Birth Weight in UK Biobank

    Full SampleSmoking MothersNonsmoking MothersFull Sample
    (1)(2)(3)(4)
    rs1051730−5.7**−17.3**−1.3−5.9**
    (2.0)(4.0)(2.4)(2.0)
    (–1) Birth weight PGS (child)−83.0**
    (1.8)
    rs1051730 × (–1) Birth weight PGS (child)1.0
    (2.0)
    R-squared0.0010.0010.0010.016
    N256,70267,915160,530256,702
    • Notes: Coefficients are displayed with robust standard errors in parentheses. PGS, polygenic score. All regressions correct for genetic relatedness using the first twenty principal components of the genetic relationship matrix. +p < 0.1, *p < 0.05, **p < 0.01.

Additional Files

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    • 1020-11266R2_supp.pdf
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The Interplay between Maternal Smoking and Genes in Offspring Birth Weight
Rita Dias Pereira, Cornelius A. Rietveld, Hans van Kippersluis
Journal of Human Resources Mar 2025, 60 (2) 400-433; DOI: 10.3368/jhr.1020-11266R2

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The Interplay between Maternal Smoking and Genes in Offspring Birth Weight
Rita Dias Pereira, Cornelius A. Rietveld, Hans van Kippersluis
Journal of Human Resources Mar 2025, 60 (2) 400-433; DOI: 10.3368/jhr.1020-11266R2
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