Are genetic markers of interest for economic research?

Lehrer, Steven F.; Ding, Weili

doi:10.1186/s40173-017-0080-6

Cited by 10 publications

(8 citation statements)

References 95 publications

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“…discarding CRP or HDL-C for CHD prevention); second, identifying possible off-target effects; third, repurposing existing drugs; and fourth, discovering new targets 13,102,103 . Disciplines that traditionally have largely ignored the role of genetics can no longer justify doing so, such as social sciences and economics 104 . Genetically informed causal inference methods should become routine wherever possible, at the very least to consider the possibility of genetic confounding.…”

Section: [H1] Conclusion and Future Perspectivesmentioning

confidence: 99%

Using genetic data to strengthen causal inference in observational research

et al. 2018

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Causal inference is essential across the biomedical, behavioural and social sciences.By progressing from confounded statistical associations to evidence of causal relationships, causal inference can reveal complex pathways underlying traits and diseases and help to prioritize targets for intervention. Recent progress in genetic epidemiology - including statistical innovation, massive genotyped data sets and novel computational tools for deep data mining - has fostered the intense development of methods exploiting genetic data and relatedness to strengthen causal inference in observational research. In this Review, we describe how such genetically informed methods differ in their rationale, applicability and inherent limitations and outline how they should be integrated in the future to offer a rich causal inference toolbox.

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Section: [H1] Conclusion and Future Perspectivesmentioning

confidence: 99%

Using genetic data to strengthen causal inference in observational research

et al. 2018

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“…Genoeconomics research, at the intersection of economics and genetics, has been gathering attention in the past decades following its contributions to long-lasting economic theories of human behavior explaining economic decision-making processes (Benjamin et al 2012;Lakshmanasamy 2014;Lehrer and Ding 2017). Previous attempts to delineate the potential genetic mechanisms underlying economic RTB found its route in heritability studies.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

Genetics of Risk-Taking Behavior: Current Knowledge, Challenges and Future Directions

Ateşyakar¹,

Duman²

2021

Journal of Yaşar University

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Our daily decisions reflect continuous assessments of risk that highly varies from one individual to the other. Research on the underlying mechanisms of individual differences in risk-taking behavior emphasizes changes in neural and physiological pathways that is in part due to the activation of different neurotransmitter systems. Consequently, genetic variations in these systems were the primary target of studies investigating the genetic underpinnings of risk-taking behavior. The aim of this review is to give an overview of our current knowledge related to genetic variations in these systems and economic risk-taking behavior. We first examine candidate gene association studies, followed by genome-wide association and gene-environment interaction studies utilizing different measures of risk-taking to illustrate the progress in the field. Research to date suggests alterations in risk-taking behavior mostly by the genes of serotonergic and dopaminergic systems in addition to influences by psychological trait measures and psychosocial factors. Considering the characteristics and results of these studies, we discuss the limitations and challenges in this area. Finally, we provide suggestions for future genoeconomics research illustrating potential benefits of interdisciplinary studies in behavioral economics.

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“…Birth weight polygenic score: The human genome consists of more than 3.2 billion nucleotides located on 23 pairs of chromosomes (Lehrer and Ding, 2017). These nucleotides come in four varieties: adenine (A), guanine (G), cytosine (C) and thymine (T).…”

Section: Main Explanatory Variablesmentioning

confidence: 99%

The Interplay between Maternal Smoking and Genes in Offspring Birth Weight

2020

Preprint

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It is well-established that both the child's genetic endowments as well as maternal smoking during pregnancy impact offspring birth weight. In this paper we move beyond the nature versus nurture debate by investigating the interaction between genetic endowments and this critical prenatal environmental exposure (maternal smoking) in determining birth weight. We draw on longitudinal data from the Avon Longitudinal Study of Parents and Children (ALSPAC) study and replicate our results using data from the UK Biobank. Genetic endowments of the children are proxied with a polygenic score that is constructed based on the results of the most recent genome wide association study of birth weight. We instrument the maternal decision to smoke during pregnancy with a genetic variant (rs1051730) located in the nicotine receptor gene CHRNA3. This genetic variant is associated with the number of cigarettes consumed daily, and we present evidence that this is plausibly the only channel through which the maternal genetic variant affects the child's birth weight. Additionally, we deal with the misreporting of maternal smoking by using measures of cotinine, a biomarker of nicotine, collected from the mother's urine during their pregnancy. We confirm earlier findings that genetic endowments as well as maternal smoking during pregnancy significantly affects the child's birth weight. However, we do not find evidence of meaningful interactions between genetic endowments and an adverse fetal environment, suggesting that the child's genetic predisposition cannot cushion the damaging effects of maternal smoking.

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Are genetic markers of interest for economic research?

Cited by 10 publications

References 95 publications

Using genetic data to strengthen causal inference in observational research

Using genetic data to strengthen causal inference in observational research

Genetics of Risk-Taking Behavior: Current Knowledge, Challenges and Future Directions

The Interplay between Maternal Smoking and Genes in Offspring Birth Weight

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