Evidence map›Paper›PMID 31363050›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Effects of the peer metagenomic environment on smoking behavior.

Ramina Sotoudeh, Kathleen Mullan Harris, Dalton Conley

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. [Association analysis between genetic nurturing effects ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  14. Transpersonal Genetic Effects Among Older U.S. Couples: A Longitudinal Study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021
    Article
  15. Observational
  16. Article
  17. Genomic regions influencing aggressive behavior in honey bees are defined by colony allele frequencies.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ramina SotoudehDepartment of Sociology, Princeton University, Princeton, NJ 08544; sotoudeh@princeton.edu kathie_harris@unc.edu dconley@princeton.edu.
Kathleen Mullan HarrisDepartment of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; sotoudeh@princeton.edu kathie_harris@unc.edu dconley@princeton.edu.
Dalton ConleyDepartment of Sociology, Princeton University, Princeton, NJ 08544; sotoudeh@princeton.edu kathie_harris@unc.edu dconley@princeton.edu.ORCID 0000-0002-5174-7222

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Add Health: A Genotype and Phenotype Resource for the Global Scientific CommunityR01HD073342 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2012 to 2016
$3.6M
Social Demographic Moderation of Genome Wide Associations for Body Mass IndexR01HD060726 · NICHD · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D, MCQUEEN, MATTHEW B · 2010 to 2014
$2.7M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
Research Tools to Enable Widespread Access and Use of Add Health GWAS DataR03HD097630 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH, HARRIS, KATHLEEN MULLAN · 2018 to 2019
$156k
NICHD NIH HHS P01 HD031921NICHD NIH HHS P2C HD047879NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD060726NICHD NIH HHS R01 HD073342NICHD NIH HHS R03 HD097630
6 · The paper itself

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.

Indexed as

MetagenomicsAdolescentAdolescent BehaviorFemaleFriendsHumansMalePeer GroupPolicyRisk FactorsSchoolsSmokingSocial SupportUnited Statesadolescent smokingsocial genetic effectssociogenomics

Identifiers

PMID31363050
PMCPMC6697801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.