Evidence map›Paper›PMID 32685959›Full record

ArticleThe American journal of clinical nutrition2020

The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores.

Guiomar Masip, Karri Silventoinen, Anna Keski-Rahkonen, Teemu Palviainen, Pyry N Sipilä, Jaakko Kaprio, Leonie H Bogl

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Guiomar MasipDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Karri SilventoinenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Anna Keski-RahkonenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Teemu PalviainenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Pyry N SipiläDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Jaakko KaprioDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Leonie H BoglInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
University of Helsinki · FI

Funding

ADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9M
Adolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2M
USE &ABUSE OF ALCOHOL--A BEHAVIOR-GENETICS PERSPECTIVEK05AA000145 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1992 to 1996
–
Austrian Science Fund FWF M 2449NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R37 AA012502
6 · The paper itself

Abstract

backgroundObesity susceptibility genes are highly expressed in the brain suggesting that they might exert their influence on body weight through eating-related behaviors.

objectivesTo examine whether the genetic susceptibility to obesity is mediated by eating behavior patterns.

methodsParticipants were 3977 twins (33% monozygotic, 56% females), aged 31-37 y, from wave 5 of the FinnTwin16 study. They self-reported their height and weight, eating behaviors (15 items), diet quality, and self-measured their waist circumference (WC). For 1055 twins with genome-wide data, we constructed a polygenic risk score for BMI (PRSBMI) using almost 1 million single nucleotide polymorphisms. We used principal component analyses to identify eating behavior patterns, twin modeling to decompose correlations into genetic and environmental components, and structural equation modeling to test mediation models between the PRSBMI, eating behavior patterns, and obesity measures.

resultsWe identified 4 moderately heritable (h2 = 36-48%) eating behavior patterns labeled "snacking," "infrequent and unhealthy eating," "avoidant eating," and "emotional and external eating." The highest phenotypic correlation with obesity measures was found for the snacking behavior pattern (r = 0.35 for BMI and r = 0.32 for WC; P < 0.001 for both), largely due to genetic factors in common (bivariate h2 > 70%). The snacking behavior pattern partially mediated the association between the PRSBMI and obesity measures (βindirect = 0.06; 95% CI: 0.02, 0.09; P = 0.002 for BMI; and βindirect = 0.05; 95% CI: 0.02, 0.08; P = 0.003 for WC).

conclusionsEating behavior patterns share a common genetic liability with obesity measures and are moderately heritable. Genetic susceptibility to obesity can be partly mediated by an eating pattern characterized by frequent snacking. Obesity prevention efforts might therefore benefit from focusing on eating behavior change, particularly in genetically susceptible individuals.

Indexed as

Feeding BehaviorGenetic Predisposition to DiseaseAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleObesitySnacksTwinsBMIdiet quality scoreeating behavior patternsgeneticsheritabilityobesity measurespolygenic risk scoresnackingsusceptibility to obesitytwins

Identifiers

PMID32685959
PMCPMC7528566
OpenAlexW3044926541

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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.