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Testing for family influences on obesity: The role of genetic nurture

dc.contributor.authorCawley, John
dc.contributor.authorHan, Euna
dc.contributor.authorKim, Jiyoon
dc.contributor.authorNorton, Edward C.
dc.date.accessioned2019-07-03T19:56:48Z
dc.date.availableWITHHELD_13_MONTHS
dc.date.available2019-07-03T19:56:48Z
dc.date.issued2019-07
dc.identifier.citationCawley, John; Han, Euna; Kim, Jiyoon; Norton, Edward C. (2019). "Testing for family influences on obesity: The role of genetic nurture." Health Economics 28(7): 937-952.
dc.identifier.issn1057-9230
dc.identifier.issn1099-1050
dc.identifier.urihttps://hdl.handle.net/2027.42/149721
dc.description.abstractA large literature has documented strong positive correlations among siblings in health, including body mass index (BMI) and obesity. This paper tests whether that is explained by a specific type of peer effect in obesity: genetic nurture. Specifically, we test whether an individual’s weight is affected by the genes of their sibling, controlling for the individual’s own genes. Using genetic data in Add Health, we find no credible evidence that an individual’s BMI is affected by the polygenic risk score for BMI of their full sibling when controlling for the individual’s own polygenic risk score for BMI. Thus, we find no evidence that the positive correlations in BMI between siblings are attributable to genetic nurture within families.
dc.publisherMcGraw Hill
dc.publisherWiley Periodicals, Inc.
dc.subject.otherobesity
dc.subject.otherpeer effects
dc.subject.othersibling
dc.subject.otherbody mass index (BMI)
dc.subject.otherhealth
dc.subject.othergenetics
dc.subject.othergenetic nurture
dc.subject.otherfamily
dc.titleTesting for family influences on obesity: The role of genetic nurture
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbsecondlevelEconomics
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelBusiness and Economics
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149721/1/hec3889.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149721/2/hec3889_am.pdf
dc.identifier.doi10.1002/hec.3889
dc.identifier.sourceHealth Economics
dc.identifier.citedreferenceRosenquist, J. N., Lehrer, S. F., James O’Malley, A., Zaslavsky, A. M., Smoller, J. W., & Christakis, N. A. ( 2015 ). Birth cohort modifies FTO–BMI association. Proceedings of the National Academy of Sciences, 112 ( 2 ), 354 – 359. https://doi.org/10.1073/pnas.1411893111
dc.identifier.citedreferenceHalliday, T. J., & Mazumder, B. ( 2017 ). An analysis of sibling correlations in health using latent variable models. Health Economics, 26 ( 12 ), E108 – E125. https://doi.org/10.1002/hec.3483
dc.identifier.citedreferenceHo, C. Y. ( 2017 ). Estimating sibling spillovers in health: Evidence on symptoms. Economics and Human Biology, 27, 93 – 101. https://doi.org/10.1016/j.ehb.2017.05.003
dc.identifier.citedreferenceHu, F. ( 2008 ). Obesity epidemiology. New York: Oxford University Press.
dc.identifier.citedreferenceInstitute of Medicine ( 2012 ). Accelerating progress in obesity prevention: Solving the weight of the nation. Washington, DC: The National Academies Press.
dc.identifier.citedreferenceKong, A., Thorleifsson, G., Frigge, M. L., Michael, L., Vilhjalmsson, B. J., Young, A. I., … Stefansson, K. ( 2018 ). The nature of nurture: Effects of parental genotypes. Science, 359 ( 6374 ), 424 – 428. https://doi.org/10.1126/science.aan6877
dc.identifier.citedreferenceLeibenstein, H. ( 1950 ). Bandwagon, snob, and Veblen effects in the theory of consumers’ demand. Quarterly Journal of Economics, 64 ( 2 ), 183 – 207.
dc.identifier.citedreferenceLiu, H., & Guo, G. ( 2015 ). Lifetime socioeconomic status, historical context, and genetic inheritance in shaping body mass in middle and late adulthood. American Sociological Review, 80 ( 4 ), 705 – 737. https://doi.org/10.1177/0003122415590627
dc.identifier.citedreferenceLocke, A. E., Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., … Croteau‐Chonka, D. C. ( 2015 ). Genetic studies of body mass index yield new insights for obesity biology. Nature, 518 ( 7538 ), 197 – 206. https://doi.org/10.1038/nature14177
dc.identifier.citedreferenceManski, C. F. ( 1993 ). Identification of endogenous social effects—The reflection problem. Review of Economic Studies, 60 ( 3 ), 531 – 542.
dc.identifier.citedreferenceManski, C. F. ( 2000 ). Economic analysis of social interactions. Journal of Economic Perspectives, 14 ( 3 ), 115 – 136.
dc.identifier.citedreferenceMartin, A. R., Gignoux, C. R., Walters, R. K., Wojcik, G. L., Neale, B. M., Gravel, S., … Kenny, E. E. ( 2017 ). Human demographic history impacts genetic risk prediction across diverse populations. American Journal of Human Genetics, 100 ( 4 ), 635 – 649. https://doi.org/10.1016/j.ajhg.2017.03.004
dc.identifier.citedreferenceMcQueen, M. B., Boardman, J. D., Domingue, B. W., Smolen, A., Tabor, J., Killeya‐Jones, L., … Harris, K. M. ( 2015 ). The National Longitudinal Study of Adolescent to Adult Health (Add Health) sibling pairs genome‐wide data. Behavior Genetics, 45 ( 1 ), 12 – 23. https://doi.org/10.1007/s10519‐014‐9692‐4
dc.identifier.citedreferenceMokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. ( 2004 ). Actual causes of death in the United States, 2000. JAMA, 291, 1238 – 1245. https://doi.org/10.1001/jama.291.10.1238
dc.identifier.citedreferenceMokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. ( 2005 ). Correction: Actual causes of death in the United States, 2000. JAMA, 293, 293 – 294. https://doi.org/10.1001/jama.293.3.293
dc.identifier.citedreferenceNan, C., Guo, B., Warner, C., Fowler, T., Barrett, T., Boomsma, D., … Zeegers, M. ( 2012 ). Heritability of body mass index in pre‐adolescence, young adulthood and late adulthood. European Journal of Epidemiology, 27, 247 – 253. https://doi.org/10.1007/s10654‐012‐9678‐6
dc.identifier.citedreferenceNCD Risk Factor Collaboration (NCD‐RisC) ( 2016 ). Trends in adult body‐mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population‐based measurement studies with 19·2 million participants. Lancet, 387, 1377 – 1396.
dc.identifier.citedreferenceNestle, M. ( 2002 ). Food politics: How the food industry influences nutrition and health. Los Angeles: University of California Press.
dc.identifier.citedreferenceParman, J. ( 2015 ). Childhood health and sibling outcomes: Nurture reinforcing nature during the 1918 influenza pandemic. Explorations in Economic History, 58, 22 – 43.
dc.identifier.citedreferencePrice, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. ( 2006 ). Principal components analysis corrects for stratification in genome‐wide association studies. Nature Genetics, 38 ( 8 ), 904 – 909. https://doi.org/10.1038/ng1847
dc.identifier.citedreferenceRauscher, E., Conley, D., & Siegal, M. L. ( 2015 ). Sibling genes as environment: Sibling dopamine genotypes and adolescent health support frequency dependent selection. Social Science Research, 54, 209 – 220. https://doi.org/10.1016/j.ssresearch.2015.08.002
dc.identifier.citedreferenceRichmond, R. C., Timpson, N. J., Felix, J. F., Palmer, T., Gaillard, R., McMahon, G., … Lawlor, D. A. ( 2017 ). Using genetic variation to explore the causal effect of maternal pregnancy adiposity on future offspring adiposity: A Mendelian randomisation study. PLoS Medicine, 14 ( 1 ), 1002221. https://doi.org/10.1371/journal.pmed.1002221
dc.identifier.citedreferenceRothman, K. J. ( 1990 ). No adjustments are needed for multiple comparisons. Epidemiology, 1 ( 1 ), 43 – 46.
dc.identifier.citedreferenceSassi, F. ( 2010 ). Obesity and the economics of prevention: Fit not fat. Paris, France: OECD. https://58.27.242.36:8000/jspui/bitstream/1/10/1/Fit_not_Fat_Obesity_and_the_Economics_of_Prevention.PDF
dc.identifier.citedreferenceSchmitz, L. L., & Conley, D. ( 2018 ). The impact of late‐career job loss and genotype on body mass index. NBER Working Paper #22348.
dc.identifier.citedreferenceSilventoinen, K., Rokholm, B., Kaprio, J., & Sorensen, T. I. ( 2010 ). The genetic and environmental influences on childhood obesity: A systematic review of twin and adoption studies. International Journal of Obesity, 34, 29 – 40. https://doi.org/10.1038/ijo.2009.177
dc.identifier.citedreferenceSmolen, A., Whitsel, E. A., Tabor, J., Killeya‐Jones, L. A., Cuthbertson, C. C., Hussey, J. M., … Harris, K. M. ( 2013 ). Add Health wave IV documentation: Candidate genes. Retrieved from https://www.cpc.unc.edu/projects/addhealth/documentation/guides/DNA_documentation.pdf
dc.identifier.citedreferenceSpeliotes, E. K., Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., … Loos, R. J. ( 2010 ). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature Genetics, 42, 937 – 948. https://doi.org/10.1038/ng.686
dc.identifier.citedreferenceWare, E. B., Schmitz, L. L., Faul, J., Gard, A., Mitchell, C., Smith, J. A., … Kardia, S. LR. ( 2017 ). Heterogeneity in Polygenic Scores for Common Human Traits. BioRxiv, 106062.
dc.identifier.citedreferenceWolf, J. B., Brodie, E. D. III, Cheverud, J. M., Moore, A. J., & Wade, M. J. ( 1998 ). Evolutionary consequences of indirect genetic effects. Trends in Ecology & Evolution, 13 ( 2 ), 64 – 69.
dc.identifier.citedreferenceYakusheva, O., Kapinos, K. A., & Eisenberg, D. ( 2014 ). Estimating heterogeneous and hierarchical peer effects on body weight using roommate assignments as a natural experiment. Journal of Human Resources, 49 ( 1 ), 234 – 261.
dc.identifier.citedreferenceYengo, L., Sidorenko, J., Kemper, K. E., Zheng, Z., Wood, A. R., Weedon, M. N., … Consortium, G. I. A. N. T. ( 2018 ). Meta‐analysis of genome‐wide association studies for height and body mass index in ∼700 000 individuals of European ancestry. Human Molecular Genetics, 27 ( 20 ), 3641 – 3649. https://doi.org/10.1093/hmg/ddy271
dc.identifier.citedreferenceYi, J. J., Heckman, J. J., Zhang, J. S., & Conti, G. ( 2015 ). Early health shocks, intra‐household resource allocation and child outcome. Economic Journal, 125 ( 588 ), F347 – F371.
dc.identifier.citedreferenceAdhvaryu, A., & Nyshadham, A. ( 2016 ). Endowments at birth and parents’ investments in children. Economic Journal, 126 ( 593 ), 781 – 820.
dc.identifier.citedreferenceAlmond, D., Edlund, L., & Palme, M. ( 2009 ). Chernobyl’s subclinical legacy: Prenatal exposure to radioactive fallout and school outcomes in Sweden. Quarterly Journal of Economics, 124 ( 4 ), 1729 – 1772.
dc.identifier.citedreferenceAltonji, J. G., Cattan, S., & Ware, I. ( 2017 ). Identifying sibling influence on teenage substance use. Journal of Human Resources, 52 ( 1 ), 1 – 47.
dc.identifier.citedreferenceBlack, S. E., Breining, S., Figlio, D. N., Guryan, J., Karbownik, K., Nielsen, H. S., … Simonsen, M. ( 2017 ). Sibling spillovers. NBER Working Paper #23062.
dc.identifier.citedreferenceBraudt, D. B. ( 2018 ). Polygenic scores in Add Health. Retrieved from https://www.cpc.unc.edu/projects/addhealth/events/Add_Health_Genetic_Data_and_GenomeWide_Association_Study_Braudt.pdf
dc.identifier.citedreferenceBraudt, D. B., & Harris, K. M. ( 2018 ). Polygenic scores (PGSs) in the National Longitudinal Study of Adolescent to Adult Health (Add Health)—Release 1. Retrieved from https://cdr.lib.unc.edu/record/uuid:98614f6f‐84ce‐43b6‐b899‐5c105916eaee
dc.identifier.citedreferenceBreining, S., Daysal, N. M., Simonsen, M., & Trandafir, M..( 2015 ). Spillover effects of early‐life medical interventions. IZA DP #9086.
dc.identifier.citedreferenceBreining, S. N. ( 2014 ). The presence of ADHD: Spillovers between siblings. Economics Letters, 124, 469 – 473.
dc.identifier.citedreferenceBrown, H. W., & Roberts, J. ( 2012 ). Exploring the factors contributing to sibling correlations in BMI: A study using the panel study of income dynamics. Obesity, 20, 978 – 984. https://doi.org/10.1038/oby.2011.351
dc.identifier.citedreferenceBrownell, K. D., & Horgen, K. B. ( 2004 ). Food fight: The inside story of the food industry, America’s obesity crisis, and what we can do about it. New York: McGraw Hill.
dc.identifier.citedreferenceBurkhauser, R. V., & Cawley, J. ( 2008 ). Beyond BMI: The value of more accurate measures of fatness and obesity in social science research. Journal of Health Economics, 27 ( 2 ), 519 – 529. https://doi.org/10.1016/j.jhealeco.2007.05.005
dc.identifier.citedreferenceCarrell, S. E., Hoekstra, M., & West, J. E. ( 2011 ). Is poor fitness contagious? Evidence from randomly assigned friends. Journal of Public Economics, 95 ( 7–8 ), 657 – 663.
dc.identifier.citedreferenceCawley, J. ( 2015 ). An economy of scales: A selective review of obesity’s economic causes, consequences, and solutions. Journal of Health Economics, 43, 244 – 268. https://doi.org/10.1016/j.jhealeco.2015.03.001
dc.identifier.citedreferenceCawley, J., Maclean, J. C., Hammer, M., & Wintfeld, N. ( 2015 ). Reporting error in weight and its implications for bias in economic models. Economics and Human Biology, 19, 27 – 44. https://doi.org/10.1016/j.ehb.2015.07.001
dc.identifier.citedreferenceCohen‐Cole, E., & Fletcher, J. M. ( 2008 ). Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic. Journal of Health Economics, 27 ( 5 ), 1382 – 1387. https://doi.org/10.1016/j.jhealeco.2008.04.005
dc.identifier.citedreferenceConley, D., Laidley, T. M., Boardman, J. D., & Domingue, B. W. ( 2016 ). Changing polygenic penetrance on phenotypes in the 20th century among adults in the US population. Scientific Reports, 6, 30348. https://doi.org/10.1038/srep30348
dc.identifier.citedreferenceCorman, H., Dave, D. M., & Reichman, N. E. ( 2017 ). Evolution of the infant health production function. NBER Working Paper #24131.
dc.identifier.citedreferenceDaw, J., Margolis, R., & Verdery, A. M. ( 2015 ). Siblings, friends, course‐mates, club‐mates: How adolescent health behavior homophily varies by race, class, gender, and health status. Social Science and Medicine, 125, 32 – 39. https://doi.org/10.1016/j.socscimed.2014.02.047
dc.identifier.citedreferenceDomingue, B. W., Belsky, D. W., Fletcher, J. M., Conley, D., Boardman, J. D., & Harris, K. M. ( 2018 ). The social genome of friends and schoolmates in the National Longitudinal Study of Adolescent to Adult Health. Proceedings of the National Academy of Sciences of the United States of America, 115 ( 4 ), 702 – 707. https://doi.org/10.1073/pnas.1711803115
dc.identifier.citedreferenceFletcher, J., Hair, N. L., & Wolfe, B. ( 2012 ). Am I my brother’s keeper? Sibling spillover effects: The case of developmental disabilities and externalizing behavior. NBER working paper #18279.
dc.identifier.citedreferenceFletcher, J., Mailick, M., Song, J., & Wolfe, B. ( 2013 ). A sibling death in the family: Common and consequential. Demography, 50, 803 – 826.
dc.identifier.citedreferenceFletcher, J., Vidal‐Fernandez, M., & Wolfe, B. ( 2018 ). Dynamic and heterogeneous effects of sibling death on children’s outcomes. Proceedings of the National Academy of Sciences of the United States of America, 115 ( 1 ), 115 – 120. https://doi.org/10.1073/pnas.1709092115
dc.identifier.citedreferenceFletcher, J., & Wolfe, B. ( 2008 ). Child mental health and human capital accumulation: The case of ADHD revisited. Journal of Health Economics, 27, 794 – 800. https://doi.org/10.1016/j.jhealeco.2007.10.010
dc.identifier.citedreferenceGriliches, Z. ( 1979 ). Sibling models and data in economics—Beginnings of a survey. Journal of Political Economy, 87 ( 5 ), S37 – S64.
dc.identifier.citedreferenceGuo, G., Liu, H., Wang, L., Shen, H., & Hu, W. ( 2015 ). The genome‐wide influence on human BMI depends on physical activity, life course, and historical period. Demography, 52 ( 5 ), 1651 – 1670. https://doi.org/10.1007/s13524‐015‐0421‐2
dc.identifier.citedreferenceHaberstick, B. C., Lessem, J. M., McQueen, M. B., Boardman, J. D., Hopfer, C. J., Smolen, A., & Hewitt, J. K. ( 2010 ). Stable genes and changing environments: Body mass index across adolescence and young adulthood. Behavior Genetics, 40 ( 4 ), 495 – 504.
dc.identifier.citedreferenceHales, C. M., Fryar, C. D., Carroll, M. D., Freedman, D. S., & Ogden, C. L. ( 2018 ). Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007–2008 to 2015–2016. JAMA, 319 ( 16 ), 1723 – 1725. https://doi.org/10.1001/jama.2018.3060
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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