Diet Quality and Genetic Association With Body Mass Index: Results From Three Observational Studies

NCT ID: NCT03577639

Last Updated: 2021-04-29

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 11700 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 1976-01-01
• Study Completion Date: 1990-12-12

Brief Summary

Background In the most recent genome-wide association study (GWAS), of the 97 body mass index (BMI)-associated single nucleotide polymorphisms (SNPs) identified, more than half of the SNPs were highly enriched for expression in the central nervous system (CNS), which is the key site of central appetite regulation 1. Significant interaction between consumption of sugar-sweetened beverages and genetic score in relation to BMI has been found 2. However, it is not known whether diet quality could modify the genetic association with BMI. Moreover, identification of subgroup of established SNPs whose association with BMI could be most significantly modified by diet will provide evidence to individualized obesity prevention.

Hypotheses

• SNPs enriched in the CNS (CNS SNPs) were more likely to be associated with food and nutrient intakes featured in alternative healthy eating index (AHEI) in comparison to SNPs enriched in other tissues (non-CNS SNPs).
• Higher diet quality was related with less pronounced association between genetic score and BMI, particularly the score of CNS SNPs.

Study Population

• 5,730 women in the Nurses Health Study (NHS) and 3,434 men in the Health Professional Follow-up Study (HPFS) who were sampled as controls
• 21,740 women in the Women's Genome Health Study (WGHS) Exposure
• Dietary quality will be measured by AHEI-2010, alternate Mediterranean diet (AMED), and the Dietary Approaches to Stop Hypertension (DASH) diet scores. Diet was measured repeatedly in the NHS (1984, 1986, 1990, 1994) and the HPFS (1986, 1990, 1994), and was measured at baseline in the WGHS.
• Based on the most recent GWAS 1, we will classify the 97 BMI-associated SNPs into CNS SNP (54 SNPs) and non-CNS SNP (43 SNPs). Total, CNS, and non-CNS SNP scores will be calculated.

Outcome BMI measured after diet assessment with 2-year lag in the NHS and the HPFS and 3-year lag in the WGHS Statistical analysis

1. The associations of individual SNP with AHEI components at baseline will be examined using linear regression and the results will be presented in Heatmap.

2. The interactions between diet quality scores and genetic scores in relation to BMI will be examined using generalized linear model in the NHS and the HPFS and using linear regression in the WGHS. The genetic scores will include total SNP score, CNS SNP score, and non-CNS SNP score.

3. Two-way stratification analysis will be conducted: the association of diet quality score with BMI will be stratified by genetic score; the association of genetic score with BMI will be stratified by diet quality score.

4. The interactions between AHEI components and genetic scores in relation to BMI will be examined using generalized linear model in the NHS and the HPFS and using linear regression in the WGHS.

Conditions

Gene and Diet Interaction

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Participants with genetic data

Exclusion Criteria

• Participants with a history of diabetes, cardiovascular disease, and cancer

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Harvard School of Public Health (HSPH)

OTHER

Sponsor Role: lead

Responsible Party

Ming Ding

Research fellow

Responsibility Role: PRINCIPAL_INVESTIGATOR

References

Ding M, Ellervik C, Huang T, Jensen MK, Curhan GC, Pasquale LR, Kang JH, Wiggs JL, Hunter DJ, Willett WC, Rimm EB, Kraft P, Chasman DI, Qi L, Hu FB, Qi Q. Diet quality and genetic association with body mass index: results from 3 observational studies. Am J Clin Nutr. 2018 Dec 1;108(6):1291-1300. doi: 10.1093/ajcn/nqy203.

Reference Type: DERIVED

PMID: 30351367 (View on PubMed)

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

384957

Identifier Type: -

Identifier Source: org_study_id