Evidence map›Paper›PMID 26518448›Full record

ArticleBMC pregnancy and childbirth2015

Case-control study of glucocorticoid receptor and corticotrophin-releasing hormone receptor gene variants and risk of perinatal depression.

Ene-Choo Tan, Tze-Ern Chua, Theresa M Y Lee, Hui-San Tan, Joe L Y Ting, Helen Y Chen

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

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

  1. Pooled it
  2. Genetic Markers Associated with Postpartum Depression: A Review.Neuropsychiatric disease and treatment · 2024
    Review
  3. Review
  4. Review
  5. Review
  6. 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

6 authors at 2 institutions in 1 country.

Ene-Choo TanKK Research Centre, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore. tanec@bigfoot.com.
Tze-Ern ChuaPaediatrics Academic Clinical Programme, SingHealth Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore. chua.tze.ern@singhealth.com.sg.
Theresa M Y LeePaediatrics Academic Clinical Programme, SingHealth Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore. theresa.lee.m.y@singhealth.com.sg.
Hui-San TanKK Research Centre, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore. suzannetan85@gmail.com.
Joe L Y TingKK Research Centre, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore. joe.ting@kcl.ac.uk.
Helen Y ChenPaediatrics Academic Clinical Programme, SingHealth Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore. helen.chen.y@singhealth.com.sg.
KK Women's and Children's Hospital · SGSingHealth Duke-NUS Academic Medical Centre · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression during pregnancy or after childbirth is the most frequent perinatal illness affecting women of reproductive age. It could result in unfavourable outcomes for both women and their newborns. The incidence of perinatal depression is higher for those with family history of depression and other mental illness, suggesting the contribution of genetic factors. There is postulation that disruption or fluctuation of reproductive hormones could play a part in women who are sensitive to such changes.

methodsThis is a case-control study comparing the frequencies of candidate gene variants in patients with perinatal depression with controls. Patients of Chinese descent (N = 725) were recruited from the outpatient clinics of the hospital between 2010 and 2013. Controls were patients who came for postnatal consultations at the obstetrics clinics and scored ≤ 7 on the Edinburgh Postnatal Depression Scale (EPDS) at the postnatal screening programme of the hospital. Cases with confirmed diagnosis of clinical (major) depression related to pregnancy/postpartum were recruited from the hospital's outpatient clinic. Genomic DNA was extracted from saliva samples and genotyped for the polymorphisms of interest. Differences between groups were assessed by chi-square analysis.

resultsCRHR1 rs242939 and rs1876828 were not polymorphic in the study population. There was no statistically significant association of perinatal depression for CRHR1 rs242941 and GR rs41423247 (BclI). When all subjects were grouped based on family history of mental illness, there was a statistically significant association of CRHR1 rs242941 with family history regardless of depression status (P = 0.043). There was also a statistically significant difference for GR rs41423247 and regularity of menstrual periods (P < 0.000). Although not statistically significant, women with perinatal depression showed a trend towards higher frequency of self-reported menstrual irregularity.

conclusionsNo evidence was found for the association of any of the genetic markers with perinatal depression in this study cohort. Instead, the possible genetic links were found in women with positive family history of mental illness and menstrual irregularity, suggesting these could be identifying risk markers for women.

Indexed as

Genetic Predisposition to DiseaseAsian PeopleCase-Control StudiesChinaCohort StudiesCRF Receptor, Type 1Depression, PostpartumFemaleGenotypeHumansMenstruation DisturbancesMental DisordersPolymorphism, Single NucleotidePregnancyReceptors, Corticotropin-Releasing HormoneReceptors, GlucocorticoidCRF Receptor, Type 1Receptors, Corticotropin-Releasing HormoneReceptors, Glucocorticoid

Identifiers

PMID26518448
PMCPMC4628323
OpenAlexW1938342477

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.