IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v38y2019i6d10.1007_s11113-019-09559-6.html
   My bibliography  Save this article

Birth Weight and Development: Bias or Heterogeneity by Polygenic Risk Factors?

Author

Listed:
  • Dalton Conley

    (Princeton University
    National Bureau of Economic Research)

  • Ramina Sotoudeh

    (Princeton University)

  • Thomas Laidley

    (University of Colorado Boulder)

Abstract

Birth weight has long been known to be a proxy for prenatal nutrition as well as social stress during pregnancy and, in this vein, has important associations with life outcomes ranging from infant mortality to cognition to adult stature. However, since birth weight and such developmental outcomes may share a genetic etiology, here we compare estimates of the effect of birth weight on traits with and without controls for genotype. Moreover, a recent literature has suggested that the effects of birth weight on later outcomes may be moderated by genotype. Namely, a handful of studies have assessed whether alleles putatively associated with neural plasticity interact with birth weight in twin and sibling models and have come to conflicting results. This confusion may result from the fact that these researchers have used only candidate gene markers—that is single alleles or a combination of a few alleles. Candidate gene studies, in turn, have failed to replicate and the general consensus in the genetics of behavior literature is that most published associations are false positives. To improve on this prior work, the present study uses well-validated, replicated polygenic scores that combine information across the entire genome by summarizing the effects of over one million individual alleles. Specifically, we use data from the National Longitudinal Study of Adolescent to Adult Health and the UK Biobank to assess whether the effects birth weight on cognitive functioning, educational attainment, height, body mass index, smoking, and depression are biased by or moderated by each phenotype’s respective polygenic score. Results do not show any robustly significant interactions in cross-sectional models or in sibling and/or twin fixed effects models. Implications for future research are discussed.

Suggested Citation

  • Dalton Conley & Ramina Sotoudeh & Thomas Laidley, 2019. "Birth Weight and Development: Bias or Heterogeneity by Polygenic Risk Factors?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 811-839, December.
  • Handle: RePEc:kap:poprpr:v:38:y:2019:i:6:d:10.1007_s11113-019-09559-6
    DOI: 10.1007/s11113-019-09559-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11113-019-09559-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11113-019-09559-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heather Royer, 2009. "Separated at Girth: US Twin Estimates of the Effects of Birth Weight," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 49-85, January.
    2. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    3. Justin Cook, C. & Fletcher, Jason M., 2015. "Understanding heterogeneity in the effects of birth weight on adult cognition and wages," Journal of Health Economics, Elsevier, vol. 41(C), pages 107-116.
    4. Douglas Almond & Kenneth Y. Chay & David S. Lee, 2005. "The Costs of Low Birth Weight," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1031-1083.
    5. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2007. "From the Cradle to the Labor Market? The Effect of Birth Weight on Adult Outcomes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 409-439.
    6. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    7. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    8. Cook, C. Justin & Fletcher, Jason M., 2014. "Interactive effects of in utero nutrition and genetic inheritance on cognition: New evidence using sibling comparisons," Economics & Human Biology, Elsevier, vol. 13(C), pages 144-154.
    9. John Novembre & Toby Johnson & Katarzyna Bryc & Zoltán Kutalik & Adam R. Boyko & Adam Auton & Amit Indap & Karen S. King & Sven Bergmann & Matthew R. Nelson & Matthew Stephens & Carlos D. Bustamante, 2008. "Genes mirror geography within Europe," Nature, Nature, vol. 456(7219), pages 274-274, November.
    10. Chatterji, Pinka & Lahiri, Kajal & Kim, Dohyung, 2014. "Fetal growth and neurobehavioral outcomes in childhood," Economics & Human Biology, Elsevier, vol. 15(C), pages 187-200.
    11. Janet Currie & Enrico Moretti, 2007. "Biology as Destiny? Short- and Long-Run Determinants of Intergenerational Transmission of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 25(2), pages 231-264.
    12. Fletcher, J.M. & Conley, D., 2013. "The challenge of causal inference in gene-environment interaction research: Leveraging research designs from the social sciences," American Journal of Public Health, American Public Health Association, vol. 103(SUPPL.1), pages 42-45.
    13. Jere R. Behrman & Mark R. Rosenzweig, 2004. "Returns to Birthweight," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 586-601, May.
    14. Fletcher, Jason M., 2011. "The medium term schooling and health effects of low birth weight: Evidence from siblings," Economics of Education Review, Elsevier, vol. 30(3), pages 517-527, June.
    15. Elaine Kelly, 2011. "The Scourge of Asian Flu: In utero Exposure to Pandemic Influenza and the Development of a Cohort of British Children," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 669-694.
    16. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    17. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    18. Philip Oreopoulos & Mark Stabile & Randy Walld & Leslie L. Roos, 2008. "Short-, Medium-, and Long-Term Consequences of Poor Infant Health: An Analysis Using Siblings and Twins," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    19. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
    20. repec:ucn:wpaper:10197/317 is not listed on IDEAS
    21. Florencia Torche, 2011. "The Effect of Maternal Stress on Birth Outcomes: Exploiting a Natural Experiment," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1473-1491, November.
    22. Ashlesha Datar & M. Kilburn & David Loughran, 2010. "Endowments and parental investments in infancy and early childhood," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 145-162, February.
    23. Beauchamp, Jonathan P. & Christakis, Nicholas Alexander & Hauser, Robert M. & Laibson, David I. & Benjamin, Daniel J. & Johannesson, Magnus & Atwood, Craig S. & Freese, Jeremy & Hauser, Taissa S. & Ch, 2012. "Most Reported Genetic Associations with General Intelligence Are Probably False Positives," Scholarly Articles 9938142, Harvard University Department of Economics.
    24. John Novembre & Toby Johnson & Katarzyna Bryc & Zoltán Kutalik & Adam R. Boyko & Adam Auton & Amit Indap & Karen S. King & Sven Bergmann & Matthew R. Nelson & Matthew Stephens & Carlos D. Bustamante, 2008. "Genes mirror geography within Europe," Nature, Nature, vol. 456(7218), pages 98-101, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Trejo, Sam, 2020. "Exploring Genetic Influences on Birth Weight," SocArXiv 7j59q, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Almond, Douglas & Currie, Janet, 2011. "Human Capital Development before Age Five," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 15, pages 1315-1486, Elsevier.
    2. Brandon J. Restrepo, 2016. "Parental investment responses to a low birth weight outcome: who compensates and who reinforces?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 969-989, October.
    3. Francisco J. Cabrera-Hernández & Pedro P. Orraca-Romano, 2023. "Inequality in the Household: How Parental Income Matters for the Long-Term Treatment of Healthy and Unhealthy Siblings," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 674-692, September.
    4. Maruyama, Shiko & Heinesen, Eskil, 2020. "Another look at returns to birthweight," Journal of Health Economics, Elsevier, vol. 70(C).
    5. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    6. Danyelle Branco & Bladimir Carrillo & José G. Féres, 2018. "Birth Endowments And Parental Investments: New Evidence From Twins," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 196, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Cabrera-Hernandez, Francisco & Orraca-Romano, Pedro, 2021. "Inequality in the household: neonatal health effects on education outcomes and parents’ compensations among siblings," MPRA Paper 111076, University Library of Munich, Germany.
    8. Petter Lundborg & Carl Hampus Lyttkens & Paul Nystedt, 2016. "The Effect of Schooling on Mortality: New Evidence From 50,000 Swedish Twins," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1135-1168, August.
    9. Stearns, Jenna, 2015. "The effects of paid maternity leave: Evidence from Temporary Disability Insurance," Journal of Health Economics, Elsevier, vol. 43(C), pages 85-102.
    10. Gabriella Conti, 2013. "The Developmental Origins of Health Inequality," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 285-309, Emerald Group Publishing Limited.
    11. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    12. Janet Currie, 2011. "Ungleichheiten bei der Geburt: Einige Ursachen und Folgen," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 12(s1), pages 42-65, May.
    13. Lin, Ming-Jen & Liu, Elaine M., 2014. "Does in utero exposure to Illness matter? The 1918 influenza epidemic in Taiwan as a natural experiment," Journal of Health Economics, Elsevier, vol. 37(C), pages 152-163.
    14. Mark E. McGovern, 2019. "How much does birth weight matter for child health in developing countries? Estimates from siblings and twins," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 3-22, January.
    15. Fletcher, Jason M., 2011. "The medium term schooling and health effects of low birth weight: Evidence from siblings," Economics of Education Review, Elsevier, vol. 30(3), pages 517-527, June.
    16. Janet Currie, 2011. "Inequality at Birth: Some Causes and Consequences," American Economic Review, American Economic Association, vol. 101(3), pages 1-22, May.
    17. Damian Clarke & Sonia Oreffice & Climent Quintana‐Domeque, 2021. "On the Value of Birth Weight," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1130-1159, October.
    18. Janet Currie, 2009. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 87-122, March.
    19. Zong‐Xian Xie & Shin‐Yi Chou & Jin‐Tan Liu, 2017. "The Short‐Run and Long‐Run Effects of Birth Weight: Evidence from Large Samples of Siblings and Twins in Taiwan," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 910-921, July.
    20. Lina Cardona-Sosa & Carlos Medina, 2016. "The Effects of In utero Programs on Birth Outcomes: The Case of “Buen Comienzo” *** El Efecto de Programas dirigidos a Madres Gestantes en Indicadores al Nacer: El caso de “Buen Comienzo”," Borradores de Economia 955, Banco de la Republica de Colombia.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:poprpr:v:38:y:2019:i:6:d:10.1007_s11113-019-09559-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.