Evidence map›Paper›PMID 22266113›Full record

ArticleCancer research2012

Mammographic breast density and breast cancer: evidence of a shared genetic basis.

Jajini S Varghese, Deborah J Thompson, Kyriaki Michailidou, Sara Lindström, Clare Turnbull, Judith Brown, Jean Leyland, Ruth M L Warren, Robert N Luben, Ruth J Loos and 21 more

Registry-linked trialAbstract read
In one paragraph

Article in Cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03920098 (The Chilean Maternal and Infant Nutrition Cohort Study II), which is not on this map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
–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

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.

NCT03920098 unknown statusnot on this mapstarted 2019, after this paper: background citation

The Chilean Maternal and Infant Nutrition Cohort Study II

TypeobservationalSponsorInstituto de Nutrición y Tecnología de los AlimentosRan2019 to 2023Enrolled1,927ConditionsBreast Density, Body Composition, Nutritional Status, Mental Health IssueArmsNutrition and mental health during pregnancy
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Observational
  7. Lifecourse Growth and Development Determinants of Mammographic Density in Black Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  8. Article
  9. Article
  10. The epidemiologic factors associated with breast density: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Review
  11. Reply to Hopper, Nguyen, and Li.JNCI cancer spectrum · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

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

31 authors.

Jajini S VargheseDepartment of Public Health and Primary Care, Addenbrooke's NHS Foundation Trust, Cambridge, United Kingdom.
Deborah J Thompson
Kyriaki Michailidou
Sara Lindström
Clare Turnbull
Judith Brown
Jean Leyland
Ruth M L Warren
Robert N Luben
Ruth J Loos
Nicholas J Wareham
Johanna Rommens
Andrew D Paterson
Lisa J Martin
Celine M Vachon
Christopher G Scott
Elizabeth J Atkinson
Fergus J Couch
Carmel Apicella
Melissa C Southey
Jennifer Stone
Jingmei Li
Louise Eriksson
Kamila Czene
Norman F Boyd
Per Hall
John L Hopper
Rulla M Tamimi
MODE Consortium
Nazneen Rahman
Douglas F Easton

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
BIOCHEMICAL MARKERS IN THE NURSES HEALTH STUDY COHORTU01CA049449 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HANKINSON, SUSAN E · 1995 to 2013
$5.4M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
Cancer Research UK 10118Cancer Research UK 11022Cancer Research UK 15106Cancer Research UK A10118Cancer Research UK A8459Medical Research Council G0000934Medical Research Council G0700491Medical Research Council MC_U106179471NCI NIH HHS CA049449NCI NIH HHS CA087969NCI NIH HHS CA131332NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA131332NCI NIH HHS U01 CA049449Wellcome TrustWellcome Trust 068545/Z/02Wellcome Trust 085475
6 · The paper itself

Abstract

Percent mammographic breast density (PMD) is a strong heritable risk factor for breast cancer. However, the pathways through which this risk is mediated are still unclear. To explore whether PMD and breast cancer have a shared genetic basis, we identified genetic variants most strongly associated with PMD in a published meta-analysis of five genome-wide association studies (GWAS) and used these to construct risk scores for 3,628 breast cancer cases and 5,190 controls from the UK2 GWAS of breast cancer. The signed per-allele effect estimates of single-nucleotide polymorphisms (SNP) were multiplied with the respective allele counts in the individual and summed over all SNPs to derive the risk score for an individual. These scores were included as the exposure variable in a logistic regression model with breast cancer case-control status as the outcome. This analysis was repeated using 10 different cutoff points for the most significant density SNPs (1%-10% representing 5,222-50,899 SNPs). Permutation analysis was also conducted across all 10 cutoff points. The association between risk score and breast cancer was significant for all cutoff points from 3% to 10% of top density SNPs, being most significant for the 6% (2-sided P = 0.002) to 10% (P = 0.001) cutoff points (overall permutation P = 0.003). Women in the top 10% of the risk score distribution had a 31% increased risk of breast cancer [OR = 1.31; 95% confidence interval (CI), 1.08-1.59] compared with women in the bottom 10%. Together, our results show that PMD and breast cancer have a shared genetic basis that is mediated through a large number of common variants.

Indexed as

MammographyPolymorphism, Single NucleotideBreast NeoplasmsCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPostmenopauseRiskUnited Kingdom

Identifiers

PMID22266113
PMCPMC3378688

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Registered trials

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.