Evidence map›Paper›PMID 39287932›Full record

SynthesisPsychiatry and clinical neurosciences2024

Identification of risk loci for postpartum depression in a genome-wide association study.

Xue Li, Nagahide Takahashi, Akira Narita, Yukako Nakamura, Mika Sakurai-Yageta, Keiko Murakami, Mami Ishikuro, Taku Obara, Masahiro Kikuya, Fumihiko Ueno and 24 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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

34 authors.

Xue LiDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Nagahide TakahashiDepartment of Child and Adolescent Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Akira NaritaDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Yukako NakamuraDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Mika Sakurai-YagetaDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Keiko MurakamiDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Mami IshikuroDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Taku ObaraDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Masahiro KikuyaDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Fumihiko UenoDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Hirohito MetokiDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Hisashi OhsetoDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Ippei TakahashiDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Tomohiro NakamuraDepartment of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Noriko WaritaDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tomoka ShojiDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Zhiqian YuDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-4827-5922
Chiaki OnoDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Natsuko KobayashiDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan.
Saya KikuchiDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tasuku MatsukiDepartment of Psychiatry, Tohoku University Hospital, Sendai, Japan.
Fuji NagamiDepartment of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Soichi OgishimaDepartment of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Junichi SugawaraDepartment of Community Medical Supports, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Tetsuro HoshiaiDepartment of gynecology and obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masatoshi SaitoDepartment of gynecology and obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Nobuo FuseDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Kengo KinoshitaDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Masayuki YamamotoDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Nobuo YaegashiDepartment of Community Medical Supports, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Norio OzakiDepartment of Child and Adolescent Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0002-7360-4898
Gen TamiyaDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Shinichi KuriyamaDepartment of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Hiroaki TomitaDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0003-2628-880X

Funding

the Japan Agency for Medical Research and Development (AMED), the Strategic Research Program for Brain Sciencesthe Ministry of Education, Culture, Sports, Science and Technology of Japan, the Tohoku Medical Megabank Project
6 · The paper itself

Abstract

aimGenome-wide association studies (GWAS) of postpartum depression (PPD) based on accumulated cohorts with multiple ethnic backgrounds have failed to identify significantly associated loci. Herein, we conducted a GWAS of Japanese perinatal women along with detailed confounding information to uncover PPD-associated loci.

methodsThe first and second cohorts (n = 9260 and n = 8582 perinatal women enrolled in the Tohoku Medical Megabank Project) and the third cohort (n = 997), recruited at Nagoya University, underwent genotyping. Of them, 1421, 1264, and 225 were classified as PPD based on the Edinburgh Postnatal Depression Scale 1 month after delivery. The most influential confounding factors of genetic liability to PPD were selected, and logistic regression analyses were performed to evaluate genetic associations with PPD after adjusting for confounders.

resultsA meta-analysis of GWAS results from the three cohorts identified significant associations between PPD and the following loci (P < 5 × 10

conclusionThe current GWAS study identified eight loci significantly associated with PPD, which may clarify the genetic structure underlying its pathogenesis.

Indexed as

Depression, PostpartumGenome-Wide Association StudyAdultCohort StudiesFemaleGenetic LociGenetic Predisposition to DiseaseHumansJapanPolymorphism, Single Nucleotidegenome‐wide association studymeta‐analysispathway analysesperinatal womenpostpartum depression

Identifiers

PMID39287932
PMCPMC11804921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.