Evidence map›Paper›PMID 32775008›Full record

ArticleAmerican journal of cancer research2020

Variants in

Haijiao Wang, Lingling Zhao, Hongliang Liu, Sheng Luo, Tomi Akinyemiju, Shelley Hwang, Qingyi Wei

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 2 countries.

Haijiao WangDepartment of Gynecology Oncology, The First Hospital of Jilin University Changchun 130021, Jilin, China.
Lingling ZhaoDuke Cancer Institute, Duke University Medical Center Durham 27710, NC, USA.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center Durham 27710, NC, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine Durham 27710, NC, USA.
Tomi AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine Durham 27710, NC, USA.
Shelley HwangDepartment of Surgery, Duke University School of Medicine Durham 27710, NC, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center Durham 27710, NC, USA.
Duke University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
NCI NIH HHS P30 CA014236NCI NIH HHS U19 CA148065
6 · The paper itself

Abstract

Vitamin D has a potential anticarcinogenic role, possibly through regulation of cell proliferation and differentiation, stimulation of apoptosis, immune modulation and regulation of estrogen receptor levels. Because breast cancer (BC) risk varies among individuals exposed to similar risk factors, we hypothesize that genetic variants in the vitamin D pathway genes are associated with BC risk. To test this hypothesis, we performed a larger meta-analysis using 14 published GWAS datasets in the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Study. We assessed associations between 2,994 (237 genotyped in the DRIVE study and 2,757 imputed from the 1000 Genomes Project) single nucleotide polymorphisms (SNPs) in 33 vitamin D pathway genes and BC risk. In unconditional logistic regression analysis, we found 11 noteworthy SNPs to be associated with BC risk after multiple comparison correction by the Bayesian false-discovery probability method (<0.80). In stepwise logistic regression analysis, with adjustment for age, principal components and previously published SNPs in the same study populations, we identified three independent SNPs (

Indexed as

Breast cancer susceptibilityexpression quantitative trait loci analysissingle nucleotide polymorphismVitamin D

Identifiers

PMID32775008
PMCPMC7407344
OpenAlexW3049505938

What OpenQuestion holds

Textmetadata
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.