Evidence map›Paper›PMID 29855537›Full record

SynthesisScientific reports2018

Japanese GWAS identifies variants for bust-size, dysmenorrhea, and menstrual fever that are eQTLs for relevant protein-coding or long non-coding RNAs.

Tetsuya Hirata, Kaori Koga, Todd A Johnson, Ryoko Morino, Kazuyuki Nakazono, Shigeo Kamitsuji, Masanori Akita, Maiko Kawajiri, Azusa Kami, Yuria Hoshi and 8 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  7. 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

18 authors at 3 institutions in 1 country.

Tetsuya HirataObstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Kaori KogaObstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Todd A JohnsonStaGen Co., Ltd., Taito-ku, Tokyo, 111-0051, Japan. todd.johnson@stagen.co.jp.ORCID 0000-0003-3377-6692
Ryoko MorinoEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Kazuyuki NakazonoStaGen Co., Ltd., Taito-ku, Tokyo, 111-0051, Japan.
Shigeo KamitsujiStaGen Co., Ltd., Taito-ku, Tokyo, 111-0051, Japan.
Masanori AkitaEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Maiko KawajiriEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Azusa KamiEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Yuria HoshiLife Science Group, Healthcare Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Asami TadaEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Kenichi IshikawaEverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Maaya HineLunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Miki KobayashiLunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Nami KurumeLunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan.
Tomoyuki FujiiObstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Naoyuki KamataniStaGen Co., Ltd., Taito-ku, Tokyo, 111-0051, Japan.
Yutaka OsugaObstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan. yutakaos-tky@umin.ac.jp.
StaGen (Japan) · JPThe University of Tokyo · JPMonohakobi Technology Institute (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traits related to primary and secondary sexual characteristics greatly impact females during puberty and day-to-day adult life. Therefore, we performed a GWAS analysis of 11,348 Japanese female volunteers and 22 gynecology-related phenotypic variables, and identified significant associations for bust-size, menstrual pain (dysmenorrhea) severity, and menstrual fever. Bust-size analysis identified significant association signals in CCDC170-ESR1 (rs6557160; P = 1.7 × 10

Indexed as

Quantitative Trait LociCarrier ProteinsDysmenorrheaFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansJapanPolymorphism, Single NucleotideReceptors, Opioid, muRNA, Long NoncodingCarrier ProteinsCCDC170 protein, humanOPRM1 protein, humanReceptors, Opioid, muRNA, Long NoncodingZNF703 protein, human

Identifiers

PMID29855537
PMCPMC5981393
OpenAlexW2806694062

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.