Evidence mapPaperPMID 41528745Full record

ArticleJAMA network open2026

Genetic Predisposition to Excess Body Weight and Survival in Women Diagnosed With Breast Cancer.

Clara Bodelon, Mariah Landry, Adriana Lori, James M Hodge, Parichoy Pal Choudhury, Erika Rees-Punia, Ying Wang, Lauren E McCullough, Alpa V Patel, Lauren R Teras

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Clara BodelonDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Mariah LandryDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Adriana LoriDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
James M HodgeDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Parichoy Pal ChoudhuryDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Erika Rees-PuniaDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Ying WangDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Lauren E McCulloughDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Alpa V PatelDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Lauren R TerasDepartment of Population Science, American Cancer Society, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Excess body weight, which is associated with poor survival after breast cancer (BC) diagnosis, is a heritable trait. Objective: To investigate whether genetic predisposition to excess body weight is associated with the risk of mortality among BC survivors. Design, Setting, and Participants: This cohort study is part of the Cancer Prevention Study-II Nutrition Cohort, a large study in which participants responded to a survey in 1992 and to biennial follow-up surveys starting in 1997. The cohort includes adults residing in 21 US states. Women diagnosed with a first primary nonmetastatic BC between 1992 and 2017 with genetic data were included in this study. Analyses were restricted to postmenopausal women at the time of cancer diagnosis who had genetically determined European ancestry. Data analysis was conducted from July 2023 to July 2025. Exposure: A polygenic score for body mass index (BMI-PGS), computed using summary statistics from 941 single nucleotide variants reported in a meta-analysis of genome-wide association studies that included approximately 700 000 individuals. Main Outcomes and Measures: Deaths through 2020 were identified via linkage with the National Death Index. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) for the association between BMI-PGS and all-cause mortality. Results: This analysis included 4177 women diagnosed with BC. The median (IQR) age at diagnosis was 71.5 (66.3-76.7) years. BC survivors with a BMI-PGS in the top tertile were more likely to have a BMI of 30 or greater (345 [24.8%]) compared with survivors in the lowest tertile (172 [12.4%]). During a median (IQR) follow-up time of 14.5 (9.7-19.7) years, 2114 BC survivors (50.6%) died. Compared with BC survivors in the lowest tertile of the BMI-PGS, those in the highest tertile had a 15% increased risk of all-cause mortality (HR, 1.15, 95% CI, 1.04-1.28). BC survivors with BMI-PGS in the highest tertile needed to walk approximately 1.7 hours per week more to be at a similar risk level as BC survivors in the lowest tertile of the BMI-PGS, which corresponds to approximately an extra 15 minutes of walking each day of the week. Conclusions and Relevance: In this cohort of nonmetastatic BC survivors, women who were genetically predisposed to having a higher BMI were at increased risk of all-cause mortality. Targeted lifestyle recommendations to mitigate their genetic predisposition should be considered to lower this risk.

Indexed as

Breast NeoplasmsGenetic Predisposition to DiseaseOverweightAgedBody Mass IndexCohort StudiesFemaleGenetic Risk ScoreHumansMiddle AgedProportional Hazards ModelsUnited States

Identifiers

PMID41528745
PMCPMC12801084

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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 Socratic graph.