Evidence map›Paper›PMID 24322204›Full record

ArticleMolecular psychiatry2014

Genome-wide association study of bipolar disorder accounting for effect of body mass index identifies a new risk allele in TCF7L2.

S J Winham, A B Cuellar-Barboza, A Oliveros, S L McElroy, S Crow, C Colby, D-S Choi, M Chauhan, M Frye, J M Biernacka

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review
  4. Acid accumulation in bipolar disorder.Journal of affective disorders · 2026
    Article
  5. Review
  6. Excess Wnt in neurological disease.The Biochemical journal · 2025
    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

10 authors at 5 institutions in 2 countries.

S J WinhamDepartment of Health Sciences Research, Mayo Clinic Rochester, Rochester, MN, USA.
A B Cuellar-Barboza1] Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico [2] Department of Psychiatry and Psychology, Mayo Clinic Rochester, Rochester, MN, USA.
A OliverosDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, Rochester, MN, USA.
S L McElroy1] Lindner Center of HOPE, Mason, OH, USA [2] University of Cincinnati, College of Medicine, Cincinnati, OH, USA.
S CrowDepartment of Psychiatry, University of Minnesota, Minneapolis, MN, USA.
C ColbyDepartment of Health Sciences Research, Mayo Clinic Rochester, Rochester, MN, USA.
D-S Choi1] Department of Psychiatry and Psychology, Mayo Clinic Rochester, Rochester, MN, USA [2] Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, Rochester, MN, USA.
M ChauhanDepartment of Psychiatry and Psychology, Mayo Clinic Health Systems Austin, Austin, MN, USA.
M FryeDepartment of Psychiatry and Psychology, Mayo Clinic Rochester, Rochester, MN, USA.
J M Biernacka1] Department of Health Sciences Research, Mayo Clinic Rochester, Rochester, MN, USA [2] Department of Psychiatry and Psychology, Mayo Clinic Rochester, Rochester, MN, USA.
Mayo Clinic in Florida · USMayo Clinic · USUniversidad Autónoma de Nuevo León · MXUniversity of Cincinnati · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is associated with higher body mass index (BMI) and increased metabolic comorbidity. Considering the associated phenotypic traits in genetic studies of complex diseases, either by adjusting for covariates or by investigating interactions between genetic variants and covariates, may help to uncover the missing heritability. However, obesity-related traits have not been incorporated in prior genome-wide analyses of BD as covariates or potential interacting factors. To investigate the genetic factors underlying BD while considering BMI, we conducted genome-wide analyses using data from the Genetic Association Information Network BD study. We analyzed 729,454 genotyped single-nucleotide polymorphism (SNP) markers on 388 European-American BD cases and 1020 healthy controls with available data for maximum BMI. We performed genome-wide association analyses of the genetic effects while accounting for the effect of maximum BMI, and also evaluated SNP-BMI interactions. A joint test of main and interaction effects demonstrated significant evidence of association at the genome-wide level with rs12772424 in an intron of TCF7L2 (P=2.85E-8). This SNP exhibited interaction effects, indicating that the bipolar susceptibility risk of this SNP is dependent on BMI. TCF7L2 codes for the transcription factor TCF/LF, part of the Wnt canonical pathway, and is one of the strongest genetic risk variants for type 2 diabetes (T2D). This is consistent with BD pathophysiology, as the Wnt pathway has crucial implications in neurodevelopment, neurogenesis and neuroplasticity, and is involved in the mechanisms of action of BD and depression treatments. We hypothesize that genetic risk for BD is BMI dependent, possibly related to common genetic risk with T2D.

Indexed as

Body Mass IndexPolymorphism, Single NucleotideBipolar DisorderBlack or African AmericanGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLogistic ModelsSurveys and QuestionnairesTranscription Factor 7-Like 2 ProteinWhite PeopleTCF7L2 protein, humanTranscription Factor 7-Like 2 Protein

Identifiers

PMID24322204
OpenAlexW2014862380

What OpenQuestion holds

Textmetadata
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.