Literature DB >> 24322204

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

S J Winham1, A B Cuellar-Barboza2, A Oliveros3, S L McElroy4, S Crow5, C Colby1, D-S Choi6, M Chauhan7, M Frye8, J M Biernacka9.   

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.

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Year:  2013        PMID: 24322204     DOI: 10.1038/mp.2013.159

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  52 in total

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Journal:  Mol Psychiatry       Date:  2010-01       Impact factor: 15.992

Review 4.  The way Wnt works: components and mechanism.

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Journal:  Growth Factors       Date:  2012-12-21       Impact factor: 2.511

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Journal:  Neuropsychopharmacology       Date:  2008-08-13       Impact factor: 7.853

6.  Lithium regulates adult hippocampal progenitor development through canonical Wnt pathway activation.

Authors:  E M Wexler; D H Geschwind; T D Palmer
Journal:  Mol Psychiatry       Date:  2007-10-30       Impact factor: 15.992

7.  Loss of Dickkopf-1 restores neurogenesis in old age and counteracts cognitive decline.

Authors:  Désirée R M Seib; Nina S Corsini; Kristina Ellwanger; Christian Plaas; Alvaro Mateos; Claudia Pitzer; Christof Niehrs; Tansu Celikel; Ana Martin-Villalba
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Journal:  Cell Stem Cell       Date:  2013-02-07       Impact factor: 24.633

Review 9.  Are mood disorders and obesity related? A review for the mental health professional.

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Journal:  J Clin Psychiatry       Date:  2004-05       Impact factor: 4.384

10.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.

Authors: 
Journal:  Nat Genet       Date:  2011-09-18       Impact factor: 38.330

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  42 in total

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Review 2.  Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome.

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3.  Application of the parametric bootstrap for gene-set analysis of gene-environment interactions.

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4.  Association of Cytomegalovirus and Toxoplasma gondii Antibody Titers With Bipolar Disorder.

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Review 5.  Neurodevelopmental Perspectives on Wnt Signaling in Psychiatry.

Authors:  Kimberly A Mulligan; Benjamin N R Cheyette
Journal:  Mol Neuropsychiatry       Date:  2017-01-13

6.  A Genome-Wide Search for Bipolar Disorder Risk Loci Modified by Mitochondrial Genome Variation.

Authors:  Euijung Ryu; Malik Nassan; Gregory D Jenkins; Sebastian M Armasu; Ana Andreazza; Susan L McElroy; Marquis P Vawter; Mark A Frye; Joanna M Biernacka
Journal:  Mol Neuropsychiatry       Date:  2017-10-28

7.  Fast eQTL Analysis for Twin Studies.

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8.  Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior.

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Journal:  Genetics       Date:  2017-05-26       Impact factor: 4.562

9.  Obesity, but not metabolic syndrome, negatively affects outcome in bipolar disorder.

Authors:  S L McElroy; D E Kemp; E S Friedman; N A Reilly-Harrington; L G Sylvia; J R Calabrese; D J Rabideau; T A Ketter; M E Thase; V Singh; M Tohen; C L Bowden; E E Bernstein; B D Brody; T Deckersbach; J H Kocsis; G Kinrys; W V Bobo; M Kamali; M G McInnis; A C Leon; S Faraone; A A Nierenberg; R C Shelton
Journal:  Acta Psychiatr Scand       Date:  2015-06-26       Impact factor: 6.392

10.  Genetic Background Limits Generalizability of Genotype-Phenotype Relationships.

Authors:  Laura J Sittig; Peter Carbonetto; Kyle A Engel; Kathleen S Krauss; Camila M Barrios-Camacho; Abraham A Palmer
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