Evidence map›Paper›PMID 20617168›Full record

ArticlePLoS genetics2010

Multi-variant pathway association analysis reveals the importance of genetic determinants of estrogen metabolism in breast and endometrial cancer susceptibility.

Yen Ling Low, Yuqing Li, Keith Humphreys, Anbupalam Thalamuthu, Yi Li, Hatef Darabi, Sara Wedrén, Carine Bonnard, Kamila Czene, Mark M Iles and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
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.

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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Prioritizing context-specific genetic risk mechanisms in 11 solid cancers.medRxiv : the preprint server for health sciences · 2025
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  5. Human sulfotransferaseFrontiers in genetics · 2024
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  7. Genetic Variation and Mendelian Randomization Approaches.Advances in experimental medicine and biology · 2022
    Article
  8. Endometrial cancer: a genetic point of view.Translational cancer research · 2020
    Article
  9. Article
  10. Article
  11. ENPP1 and ESR1 genotypes associated with subclassifications of craniofacial asymmetry and severity of temporomandibular disorders.American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics · 2017
    Article
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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

17 authors at 4 institutions in 4 countries.

Yen Ling LowHuman Genetics, Genome Institute of Singapore, Singapore, Singapore.
Yuqing Li
Keith Humphreys
Anbupalam Thalamuthu
Yi Li
Hatef Darabi
Sara Wedrén
Carine Bonnard
Kamila Czene
Mark M Iles
Tuomas Heikkinen
Kristiina Aittomäki
Carl Blomqvist
Heli Nevanlinna
Per Hall
Edison T Liu
Jianjun Liu
Genome Institute of Singapore · SGKarolinska Institutet · SEHelsinki University Hospital · FISt James's University Hospital · GB

Funding

Genetic determinants of postmenopausal breast cancerR01CA104021 · NCI · KAROLINSKA INSTITUTE · PI HALL, PER · 2005 to 2009
$2.1M
Cancer Research UK 10589NCI NIH HHS R01 CA 104021NCI NIH HHS R01 CA104021
6 · The paper itself

Abstract

Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multiple weak genetic effects within the metabolic pathway that can only be effectively detected through multi-variant analysis. We conducted a comprehensive association analysis of the estrogen metabolic pathway by interrogating 239 tagSNPs within 35 genes of the pathway in three tumor samples. The discovery sample consisted of 1,596 breast cancer cases, 719 endometrial cancer cases, and 1,730 controls from Sweden; and the validation sample included 2,245 breast cancer cases and 1,287 controls from Finland. We performed admixture maximum likelihood (AML)-based global tests to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three sub-pathways for androgen synthesis, androgen-to-estrogen conversion, and estrogen removal. In the discovery sample, although no single polymorphism was significant after correction for multiple testing, the pathway-based AML global test suggested association with both breast (p(global) = 0.034) and endometrial (p(global) = 0.052) cancers. Further testing revealed the association to be focused on polymorphisms within the androgen-to-estrogen conversion sub-pathway, for both breast (p(global) = 0.008) and endometrial cancer (p(global) = 0.014). The sub-pathway association was validated in the Finnish sample of breast cancer (p(global) = 0.015). Further tumor subtype analysis demonstrated that the association of the androgen-to-estrogen conversion sub-pathway was confined to postmenopausal women with sporadic estrogen receptor positive tumors (p(global) = 0.0003). Gene-based AML analysis suggested CYP19A1 and UGT2B4 to be the major players within the sub-pathway. Our study indicates that the composite genetic determinants related to the androgen-estrogen conversion are important for the induction of two hormone-associated cancers, particularly for the hormone-driven breast tumour subtypes.

Indexed as

Genetic Predisposition to DiseaseAgedAnalysis of VarianceAndrogensBreast NeoplasmsCase-Control StudiesCell Line, TumorCohort StudiesEndometrial NeoplasmsEstrogensFemaleHumansMiddle AgedPolymorphism, Single NucleotideReceptors, EstrogenWhite PeopleAndrogensEstrogensReceptors, Estrogen

Identifiers

PMID20617168
PMCPMC2895650
OpenAlexW1967569999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.