Tier 4 — mechanistic

Dietary choline and betaine intake, choline-metabolising genetic polymorphisms and breast cancer risk: a case-control study in China

Yu-Feng Du, Wei-Ping Luo, Fang-Yu Lin, Zhen-Qiang Lian, Xiong-Fei Mo, Bo Yan, Ming Xu, Wu-Qing Huang, Jing Huang, Cai-Xia Zhang
The British journal of nutrition 2016 116(6):961-968

Bibliography

PubMed
PMID 27488260
DOI
10.1017/S0007114516002956
Funding
Funding was not specified in the indexed record or accessible funding metadata.
Competing interests
A competing-interest declaration was not available in the indexed record or accessible disclosure metadata.

Study snapshot

DesignCase-control genetic interaction study
ModelHuman participants
Sample570 breast-cancer cases and 576 controls
InterventionHabitual dietary choline and/or betaine intake; no randomized TMG treatment
DurationRetrospective diet and genotype assessment
EndpointsBreast-cancer odds; BHMT and PEMT variants

What the study showed, in plain terms

Published in 2016, this source examined human observational and biomarker research. Design: Case-control genetic interaction study. Sample/model: 570 breast-cancer cases and 576 controls. The exposure or intervention was Habitual dietary choline and/or betaine intake; no randomized TMG treatment. Follow-up or treatment period: Retrospective diet and genotype assessment.

The main reported genotype interactions concerned choline intake; these findings do not establish a betaine-treatment effect.

Observational exposure analysis: residual confounding and reverse causation remain possible. Associations do not establish that betaine supplementation causes the same outcome. Diet recall, case selection or illness-related metabolite changes may introduce bias.

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Key findings

  • The main reported genotype interactions concerned choline intake; these findings do not establish a betaine-treatment effect.
  • The recorded outcome domains were Breast-cancer odds; BHMT and PEMT variants.
  • The exposure was observed rather than assigned as an isolated supplement treatment.

What this study can and cannot tell us

  • Observational exposure analysis: residual confounding and reverse causation remain possible. Associations do not establish that betaine supplementation causes the same outcome. Diet recall, case selection or illness-related metabolite changes may introduce bias.
  • Confounding, dietary patterns, illness, medication use and reverse causation can influence an association. Blood or dietary concentrations do not identify the effect of starting a capsule.
  • Source basis: Indexed abstract and bibliographic data. Missing method details, funding information or participant denominators are not inferred.

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Editorial review

Reviewed by the Biohack Blueprint research team

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Dr. Khaled Mahmoud, MBBChCritical Care Medicine, Longevity Science & Editorial Direction Dr. Amr Yasser, PhDCardiometabolic, Musculoskeletal, Gut & Bioavailability Dr. Abdulla Mostafa, PhDCellular Senescence, Neurological, Mitochondrial & Brain-Ageing Biology