Evidence map›Paper›PMID 37338730›Full record

ArticleBreast cancer research and treatment2023

Evaluation of SNPs associated with mammographic density in European women with mammographic density in Asian women from South-East Asia.

Shivaani Mariapun, Weang Kee Ho, Mikael Eriksson, Mei Chee Tai, Nur Aishah Mohd Taib, Cheng Har Yip, Kartini Rahmat, Jingmei Li, Mikael Hartman, Per Hall and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

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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

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Shivaani MariapunCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Weang Kee HoCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Mikael ErikssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Mei Chee TaiCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Nur Aishah Mohd TaibFaculty of Medicine, University Malaya Cancer Research Institute, University Malaya, Kuala Lumpur, Malaysia.
Cheng Har YipDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Kartini RahmatFaculty of Medicine, University Malaya Cancer Research Institute, University Malaya, Kuala Lumpur, Malaysia.
Jingmei LiDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Mikael HartmanDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Douglas F EastonDepartment of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK.
Sara LindstromDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Soo-Hwang TeoCancer Research Malaysia, Subang Jaya, Selangor, Malaysia. soohwang.teo@cancerresearch.my.ORCID http://orcid.org/0000-0002-0444-590X

Funding

Integration of genetic, gene expression and environmental data to inform biological basis of mammographic densityR01CA244670 · NCI · UNIVERSITY OF WASHINGTON · PI LINDSTROEM, SARA · 2021 to 2024
$1.8M
NCI NIH HHS R01 CA244670Wellcome TrustWellcome Trust v203477/Z/16/Z
6 · The paper itself

Abstract

purposeMammographic density (MD), after accounting for age and body mass index (BMI), is a strong heritable risk factor for breast cancer. Genome-wide association studies (GWAS) have identified 64 SNPs in 55 independent loci associated with MD in women of European ancestry. Their associations with MD in Asian women, however, are largely unknown.

methodUsing linear regression adjusting for age, BMI, and ancestry-informative principal components, we evaluated the associations of previously reported MD-associated SNPs with MD in a multi-ethnic cohort of Asian ancestry. Area and volumetric mammographic densities were determined using STRATUS (N = 2450) and Volpara™ (N = 2257). We also assessed the associations of these SNPs with breast cancer risk in an Asian population of 14,570 cases and 80,870 controls.

resultsOf the 61 SNPs available in our data, 21 were associated with MD at a nominal threshold of P value < 0.05, all in consistent directions with those reported in European ancestry populations. Of the remaining 40 variants with a P-value of association > 0.05, 29 variants showed consistent directions of association as those previously reported. We found that nine of the 21 MD-associated SNPs in this study were also associated with breast cancer risk in Asian women (P < 0.05), seven of which showed a direction of associations that was consistent with that reported for MD.

conclusionOur study confirms the associations of 21 SNPs (19/55 or 34.5% out of all known MD loci identified in women of European ancestry) with area and/or volumetric densities in Asian women, and further supports the evidence of a shared genetic basis through common genetic variants for MD and breast cancer risk.

Indexed as

Breast DensityBreast NeoplasmsAsia, EasternFemaleGenome-Wide Association StudyHumansMammographyPolymorphism, Single NucleotideRisk FactorsAsianCommon genetic variationMammographic densitySNPs

Identifiers

PMID37338730
PMCPMC10865780

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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 OpenQuestion graph.