Evidence map›Paper›PMID 31757997›Full record

ArticleScientific reports2019

Identification of two novel breast cancer loci through large-scale genome-wide association study in the Japanese population.

Siew-Kee Low, Yoon Ming Chin, Hidemi Ito, Keitaro Matsuo, Chizu Tanikawa, Koichi Matsuda, Hiroko Saito, Mika Sakurai-Yageta, Naoki Nakaya, Atsushi Shimizu and 17 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

27 authors at 13 institutions in 1 country.

Siew-Kee LowCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan. siewkee.low@jfcr.or.jp.ORCID http://orcid.org/0000-0003-2386-0698
Yoon Ming ChinCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID http://orcid.org/0000-0002-8023-4581
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID http://orcid.org/0000-0003-1761-6314
Chizu TanikawaLaboratory of Genome Technology, Human Genome Center, The University of Tokyo, Tokyo, Japan.
Koichi MatsudaGraduate school of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Hiroko SaitoDepartment of Genetic Diagnosis, The Cancer Institute of JFCR, Tokyo, Japan.
Mika Sakurai-YagetaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Naoki NakayaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Atsushi ShimizuIwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.ORCID http://orcid.org/0000-0001-8307-2461
Satoshi S NishizukaIwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.ORCID http://orcid.org/0000-0001-9178-790X
Taiki YamajiDivision of Epidemiology, National Cancer Center, Tokyo, Japan.
Norie SawadaDivision of Epidemiology, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9936-1476
Motoki IwasakiDivision of Epidemiology, National Cancer Center, Tokyo, Japan.
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4105-2774
Toshiro TakezakiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Mariko NaitoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-8748-5597
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoshinori MurakamiDivision of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Johji InazawaDepartment of Molecular Cytogenetics, Tokyo Medical & Dental University, Tokyo, Japan.
Yusuke NakamuraCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Michiaki KuboLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Toyomasa KatagiriDivision of Genome Medicine, Institute for Genome Research, Tokushima University, Tokushima, Japan.
Yoshio MikiDepartment of Genetic Diagnosis, The Cancer Institute of JFCR, Tokyo, Japan.
RIKEN Center for Integrative Medical Sciences · JPThe University of Tokyo · JPAichi Cancer Center · JPIwate Medical University · JPJapanese Foundation For Cancer Research · JPTohoku University · JPTokyo Medical and Dental University · JPHiroshima University · JPKagoshima University · JPNagoya City University · JPNagoya University · JPThe Cancer Institute Hospital · JPTokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have successfully identified about 70 genomic loci associated with breast cancer. Owing to the complexity of linkage disequilibrium and environmental exposures in different populations, it is essential to perform regional GWAS for better risk prediction. This study aimed to investigate the genetic architecture and to assess common genetic risk model of breast cancer with 6,669 breast cancer patients and 21,930 female controls in the Japanese population. This GWAS identified 11 genomic loci that surpass genome-wide significance threshold of P < 5.0 × 10

Indexed as

Polymorphism, Single NucleotideActivated-Leukocyte Cell Adhesion MoleculeAntigens, CDBreast NeoplasmsCase-Control StudiesCell Adhesion Molecules, NeuronalChloride ChannelsChromosome MappingCore Binding Factor Alpha 2 SubunitFemaleFetal ProteinsGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansJapanActivated-Leukocyte Cell Adhesion MoleculeALCAM protein, humanAntigens, CDCell Adhesion Molecules, NeuronalChloride ChannelsCLIC6 protein, humanCore Binding Factor Alpha 2 SubunitFetal ProteinsRUNX1 protein, human

Identifiers

PMID31757997
PMCPMC6874604
OpenAlexW2990238572

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.