Evidence map›Paper›PMID 29248581›Full record

ArticleGene2018

Exome sequencing of a large family identifies potential candidate genes contributing risk to bipolar disorder.

Tianxiao Zhang, Liping Hou, David T Chen, Francis J McMahon, Jen-Chyong Wang, John P Rice

Open access · greenAbstract read
In one paragraph

Article in Gene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Rare Homozygous Variants inInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Posterior segment findings in a patient with aAmerican journal of ophthalmology case reports · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. dbBIP: a comprehensive bipolar disorder database for genetic research.Database : the journal of biological databases and curation · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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 3 institutions in 2 countries.

Tianxiao ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Shaanxi, China.
Liping HouHuman Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
David T ChenHuman Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
Francis J McMahonHuman Genetics Branch, The National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
Jen-Chyong WangDepartment of Psychiatry, Washington University in Saint Louis, MO, USA.
John P RiceDepartment of Psychiatry, Washington University in Saint Louis, MO, USA. Electronic address: john@zork.wustl.edu.
National Institutes of Health · USWashington University in St. Louis · USXi'an Jiaotong University · CN

Funding

NIMH Center Repository Supporting Stem Cell ResearchU24MH068457 · NIMH · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI BRZUSTOWICZ, LINDA M, KNOWLES, JAMES A · 2003 to 2024
$213.8M
Mapping genes that contribute to bipolar disorderZIAMH002810 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$31.2M
Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
NIMH NIH HHS U24 MH068457
6 · The paper itself

Abstract

Bipolar disorder is a mental illness with lifetime prevalence of about 1%. Previous genetic studies have identified multiple chromosomal linkage regions and candidate genes that might be associated with bipolar disorder. The present study aimed to identify potential susceptibility variants for bipolar disorder using 6 related case samples from a four-generation family. A combination of exome sequencing and linkage analysis was performed to identify potential susceptibility variants for bipolar disorder. Our study identified a list of five potential candidate genes for bipolar disorder. Among these five genes, GRID1(Glutamate Receptor Delta-1 Subunit), which was previously reported to be associated with several psychiatric disorders and brain related traits, is particularly interesting. Variants with functional significance in this gene were identified from two cousins in our bipolar disorder pedigree. Our findings suggest a potential role for these genes and the related rare variants in the onset and development of bipolar disorder in this one family. Additional research is needed to replicate these findings and evaluate their patho-biological significance.

Indexed as

Polymorphism, Single NucleotideBipolar DisorderCadherin Related ProteinsCadherinsExome SequencingFemaleGene Regulatory NetworksGenetic LinkageGenetic Predisposition to DiseaseHumansMaleNerve Tissue ProteinsPedigreePhosphoric Monoester HydrolasesReceptors, GlutamateCadherin Related ProteinsCadherinsCDHR1 protein, humanglutamate receptor delta 1multiple inositol-polyphosphate phosphataseNerve Tissue ProteinsPhosphoric Monoester HydrolasesReceptors, GlutamateBipolar disorderExome sequencingGRID1Linkage analysis

Identifiers

PMID29248581
PMCPMC6040674
OpenAlexW2771531657

What OpenQuestion holds

Textmetadata
LicenceTDM
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.