What does this research mean for the field?

Favorable lifestyle and psychosocial factors attenuate genetic susceptibility to adiposity, with several moderating effects—such as physical activity and alcohol consumption—being significantly stronger in women. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

January 23, 2019Scientific ReportsOpen Access

Sex-specific moderation by lifestyle and psychosocial factors on the genetic contributions to adiposity in 112,151 individuals from UK Biobank

Q: What are the key findings of this study?

Greater physical activity, more education, higher income, moderate alcohol consumption, and low material deprivation significantly attenuated the genetic susceptibility to elevated BMI (p < 0.001), with physical activity and alcohol showing stronger moderating effects in women.

Q: What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Adiposity (Genetic Susceptibility to Obesity) (n=112151). Intervention: Favorable lifestyle and psychosocial factors (e.g., physical activity, moderate alcohol, higher income/education) vs. Unfavorable lifestyle and psychosocial factors (e.g., low physical activity, abstinence/high alcohol, lower income/education). Primary outcome: Moderation of genetic susceptibility to elevated BMI by physical activity (gene-by-environment interaction) (p=<0.001).

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Key result

Physical activity, moderate alcohol, and higher socioeconomic status linked to attenuated genetic risk for elevated BMI.

P<0.001
n=112,151

Why the study?

Evidence suggests lifestyle factors moderate genetic susceptibility to obesity, prompting investigation into sex-specific interactions between polygenic scores and lifestyle or psychosocial factors.

Do lifestyle and psychosocial factors moderate the genetic susceptibility to high BMI and WHR in adults?

Population

112 151 UK Biobank participants aged 40 to 73 years

Comparison

Interactions between polygenic scores and lifestyle or psychosocial factors

Design

Cross-sectional cohort analysis using linear regression models

Authors

CCCatherine M. Calvin SHSaskia P. Hagenaars JGJohn Gallacher

Discussion

Member takes

Overview

PGS-lifestyle interactions may refine obesity risk models; leaves open whether targeting modifiable factors alters genetic trajectories in practice.

Study Design

Type

Cross-Sectional (n=112,151)

Multicenter

Yes

Structured PICO

Do lifestyle and psychosocial factors moderate the genetic susceptibility to high BMI and WHR in adults?

Population

112,151 adults aged 40 to 73 years from the UK Biobank with genetic and baseline lifestyle data assessed for gene-environment interactions on adiposity.

Exposure

Evaluation of interaction between polygenic scores (PGS) for obesity indicators and lifestyle/psychosocial factors (physical activity, education, income, alcohol consumption, material deprivation, neuroticism).

Outcome

Body mass index (BMI) and waist-to-hip ratio (WHR)surrogate

Main Result

p-value: p=<0.001

Lifestyle and psychosocial factors, such as physical activity and income, can offset genetic risk for adiposity in mid to late adulthood, with some effects being more pronounced in women.

Limitations

Cross-sectional design cannot rule out reverse causality (e.g., modification of lifestyle due to changes in BMI).
Self-report bias for physical activity and alcohol consumption, which may differ by sex.
Generalizability is limited to UK residents of European ancestry.
Potential masking of specific gene-environment interactions by using composite polygenic scores instead of individual SNPs.

Cite This Study

Calvin et al. (2019) conducted a cross-sectional in Adiposity (Genetic Susceptibility to Obesity) (n=112,151). Favorable lifestyle and psychosocial factors (e.g., physical activity, moderate alcohol, higher income/education) vs. Unfavorable lifestyle and psychosocial factors (e.g., low physical activity, abstinence/high alcohol, lower income/education) was evaluated on Moderation of genetic susceptibility to elevated BMI by physical activity (gene-by-environment interaction) (p=<0.001). Greater physical activity, more education, higher income, moderate alcohol consumption, and low material deprivation significantly attenuated the genetic susceptibility to elevated BMI (p < 0.001), with physical activity and alcohol showing stronger moderating effects in women.

synapsesocial.com/papers/6aaa35bc7f8e0603cc997416 https://doi.org/10.1038/s41598-018-36629-0

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January 23, 2019Scientific ReportsOpen Access

Sex-specific moderation by lifestyle and psychosocial factors on the genetic contributions to adiposity in 112,151 individuals from UK Biobank

View Full Paper

Ask AI

Bookmark

Key result

Physical activity, moderate alcohol, and higher socioeconomic status linked to attenuated genetic risk for elevated BMI.

P<0.001
n=112,151

Why the study?

Evidence suggests lifestyle factors moderate genetic susceptibility to obesity, prompting investigation into sex-specific interactions between polygenic scores and lifestyle or psychosocial factors.

Do lifestyle and psychosocial factors moderate the genetic susceptibility to high BMI and WHR in adults?

Population

112 151 UK Biobank participants aged 40 to 73 years

Comparison

Interactions between polygenic scores and lifestyle or psychosocial factors

Design

Cross-sectional cohort analysis using linear regression models

Authors

CCCatherine M. Calvin SHSaskia P. Hagenaars JGJohn Gallacher

Discussion

Member takes

Overview

PGS-lifestyle interactions may refine obesity risk models; leaves open whether targeting modifiable factors alters genetic trajectories in practice.

Study Design

Type

Cross-Sectional (n=112,151)

Multicenter

Yes

Structured PICO

Do lifestyle and psychosocial factors moderate the genetic susceptibility to high BMI and WHR in adults?

Population

112,151 adults aged 40 to 73 years from the UK Biobank with genetic and baseline lifestyle data assessed for gene-environment interactions on adiposity.

Exposure

Outcome

Body mass index (BMI) and waist-to-hip ratio (WHR)surrogate

Main Result

p-value: p=<0.001

Lifestyle and psychosocial factors, such as physical activity and income, can offset genetic risk for adiposity in mid to late adulthood, with some effects being more pronounced in women.

Limitations

Cross-sectional design cannot rule out reverse causality (e.g., modification of lifestyle due to changes in BMI).
Self-report bias for physical activity and alcohol consumption, which may differ by sex.
Generalizability is limited to UK residents of European ancestry.
Potential masking of specific gene-environment interactions by using composite polygenic scores instead of individual SNPs.

Cite This Study

synapsesocial.com/papers/6aaa35bc7f8e0603cc997416 https://doi.org/10.1038/s41598-018-36629-0

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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