» Articles » PMID: 31363050

Effects of the Peer Metagenomic Environment on Smoking Behavior

Overview
Specialty Science
Date 2019 Aug 1
PMID 31363050
Citations 14
Authors
Affiliations
Soon will be listed here.
Abstract

Recent scholarship suggests that the genomes of those around us affect our own phenotypes. Much of the empirical evidence for such "metagenomic" effects comes from animal studies, where the socio-genetic environment can be easily manipulated. Among humans, it is more difficult to identify such effects given the nonrandom distribution of genes and environments. Here we leverage the as-if-random distribution of grade-mates' genomes conditional on school-level variation in a nationally representative sample. Specifically, we evaluate whether one's peers' genetic propensity to smoke affects one's own smoking behavior net of one's own genotype. Results show that peer genetic propensity to smoke has a substantial effect on an individual's smoking outcome. This is true not only when the peer group includes direct friends, and therefore where the individual plays an active role in shaping the metagenomic context but also when the peer group includes all grade-mates and thus in cases where the individual does not select the metagenomic environment. We explore these effects further and show that a small minority with high genetic risk to smoke ('bad apples') can greatly affect the smoking behavior of an entire grade. The methodology used in this paper offers a potential solution to many of the challenges inherent in estimating peer effects in nonexperimental settings and can be utilized to study a wide range of outcomes with a genetic basis. On a policy level, our results suggest that efforts to reduce adolescent smoking should take into account metagenomic effects, especially bad apples, within social networks.

Citing Articles

Peer Social Genetic Effects and the Etiology of Substance Use Disorders, Major Depression, and Anxiety Disorder in a Swedish National Sample.

Salvatore J, Ohlsson H, Sundquist J, Sundquist K, Kendler K Am J Psychiatry. 2024; 181(9):824-833.

PMID: 39108160 PMC: 11366501. DOI: 10.1176/appi.ajp.20230358.


Heterogeneous peer effects of college roommates on academic performance.

Cao Y, Zhou T, Gao J Nat Commun. 2024; 15(1):4785.

PMID: 38844484 PMC: 11156860. DOI: 10.1038/s41467-024-49228-7.


Partners in Health: Investigating Social Genetic Effects Among Married and Cohabiting Couples.

Otten K, Mandemakers J Behav Genet. 2023; 53(4):348-358.

PMID: 37284978 PMC: 10276063. DOI: 10.1007/s10519-023-10147-w.


Wrestling with Social and Behavioral Genomics: Risks, Potential Benefits, and Ethical Responsibility.

Meyer M, Appelbaum P, Benjamin D, Callier S, Comfort N, Conley D Hastings Cent Rep. 2023; 53 Suppl 1:S2-S49.

PMID: 37078667 PMC: 10433733. DOI: 10.1002/hast.1477.


Gene-by-peer-environment interaction effects on cigarette, alcohol, and marijuana use among US high school students of European Ancestry.

Zheng B, Fletcher J, Zheng F, Lu Q Soc Sci Med. 2022; 309:115249.

PMID: 35944351 PMC: 9793417. DOI: 10.1016/j.socscimed.2022.115249.


References
1.
Hamer D, Sirota L . Beware the chopsticks gene. Mol Psychiatry. 2000; 5(1):11-3. DOI: 10.1038/sj.mp.4000662. View

2.
Alexander C, Piazza M, Mekos D, Valente T . Peers, schools, and adolescent cigarette smoking. J Adolesc Health. 2001; 29(1):22-30. DOI: 10.1016/s1054-139x(01)00210-5. View

3.
Bryant A, Schulenberg J, Bachman J, OMalley P, Johnston L . Understanding the links among school misbehavior, academic achievement, and cigarette use: a national panel study of adolescents. Prev Sci. 2001; 1(2):71-87. DOI: 10.1023/a:1010038130788. View

4.
Woodruff S, Candelaria J, Laniado-Laborin R, Sallis J, Villasenor A . Availability of cigarettes as a risk factor for trial smoking in adolescents. Am J Health Behav. 2002; 27(1):84-8. DOI: 10.5993/ajhb.27.1.9. View

5.
Schofield P, Pattison P, Hill D, Borland R . Youth culture and smoking: Integrating social group processes and individual cognitive processes in a model of health-related behaviours. J Health Psychol. 2003; 8(3):291-306. DOI: 10.1177/13591053030083001. View