Literature DB >> 32767004

The Role of Genetics in Bipolar Disorder.

Chiara Fabbri1.   

Abstract

Bipolar disorder (BP) is a highly heritable disease, with heritability estimated between 60 and 85% by twin studies. The underlying genetic architecture was poorly understood for years since the available technology was limited to the candidate gene approach that did not allow to explore the contribution of multiple loci throughout the genome. BP is a complex disorder, which pathogenesis is influenced by a number of genetic variants, each with small effect size, and environmental exposures. Genome-wide association studies (GWAS) provided meaningful insights into the genetics of BP, including replicated genetic variants, and allowed the development of novel multi-marker methods for gene/pathway analysis and for estimating the genetic overlap between BP and other traits. However, the existing GWAS had also relevant limitations. Notably insufficient statistical power and lack of consideration of rare variants, which may be responsible for the relatively low heritability explained (~20% in the largest GWAS) compared to twin studies. The availability of data from large biobanks and automated phenotyping from electronic health records or digital phenotyping represent key steps for providing samples with adequate power for genetic analysis. Next-generation sequencing is becoming more and more feasible in terms of costs, leading to the rapid growth in the number of samples with whole-genome or whole-exome sequence data. These recent and unprecedented resources are of key importance for a more comprehensive understanding of the specific genetic factors involved in BP and their mechanistic action in determining disease onset and prognosis.

Entities:  

Keywords:  Bipolar disorder; Gene; Genetics; Genome-wide association study; Heritability; Polygenic risk score; Polymorphism

Mesh:

Year:  2021        PMID: 32767004     DOI: 10.1007/7854_2020_153

Source DB:  PubMed          Journal:  Curr Top Behav Neurosci        ISSN: 1866-3370


  40 in total

1.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

Authors:  Brendan K Bulik-Sullivan; Po-Ru Loh; Hilary K Finucane; Stephan Ripke; Jian Yang; Nick Patterson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal:  Nat Genet       Date:  2015-02-02       Impact factor: 38.330

2.  Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder.

Authors:  D T Chen; X Jiang; N Akula; Y Y Shugart; J R Wendland; C J M Steele; L Kassem; J-H Park; N Chatterjee; S Jamain; A Cheng; M Leboyer; P Muglia; T G Schulze; S Cichon; M M Nöthen; M Rietschel; F J McMahon; A Farmer; P McGuffin; I Craig; C Lewis; G Hosang; S Cohen-Woods; J B Vincent; J L Kennedy; J Strauss
Journal:  Mol Psychiatry       Date:  2011-12-20       Impact factor: 15.992

Review 3.  The genetics of bipolar disorder.

Authors:  J H Barnett; J W Smoller
Journal:  Neuroscience       Date:  2009-04-07       Impact factor: 3.590

4.  Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders.

Authors:  Celso Arango; David Fraguas; Mara Parellada
Journal:  Schizophr Bull       Date:  2013-12-26       Impact factor: 9.306

5.  Meta-analysis of two genome-wide association studies of bipolar disorder reveals important points of agreement.

Authors:  A E Baum; M Hamshere; E Green; S Cichon; M Rietschel; M M Noethen; N Craddock; F J McMahon
Journal:  Mol Psychiatry       Date:  2008-05       Impact factor: 15.992

6.  Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder.

Authors:  A W Charney; D M Ruderfer; E A Stahl; J L Moran; K Chambert; R A Belliveau; L Forty; K Gordon-Smith; A Di Florio; P H Lee; E J Bromet; P F Buckley; M A Escamilla; A H Fanous; L J Fochtmann; D S Lehrer; D Malaspina; S R Marder; C P Morley; H Nicolini; D O Perkins; J J Rakofsky; M H Rapaport; H Medeiros; J L Sobell; E K Green; L Backlund; S E Bergen; A Juréus; M Schalling; P Lichtenstein; P Roussos; J A Knowles; I Jones; L A Jones; C M Hultman; R H Perlis; S M Purcell; S A McCarroll; C N Pato; M T Pato; N Craddock; M Landén; J W Smoller; P Sklar
Journal:  Transl Psychiatry       Date:  2017-01-10       Impact factor: 6.222

7.  Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.

Authors:  Chia-Yen Chen; Phil H Lee; Victor M Castro; Jessica Minnier; Alexander W Charney; Eli A Stahl; Douglas M Ruderfer; Shawn N Murphy; Vivian Gainer; Tianxi Cai; Ian Jones; Carlos N Pato; Michele T Pato; Mikael Landén; Pamela Sklar; Roy H Perlis; Jordan W Smoller
Journal:  Transl Psychiatry       Date:  2018-04-18       Impact factor: 6.222

8.  Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders.

Authors:  Maria Stella Calafato; Johan H Thygesen; Siri Ranlund; Eirini Zartaloudi; Wiepke Cahn; Benedicto Crespo-Facorro; Álvaro Díez-Revuelta; Marta Di Forti; Mei-Hua Hall; Conrad Iyegbe; Assen Jablensky; Rene Kahn; Luba Kalaydjieva; Eugenia Kravariti; Kuang Lin; Colm McDonald; Andrew M McIntosh; Andrew McQuillin; Marco Picchioni; Dan Rujescu; Madiha Shaikh; Timothea Toulopoulou; Jim Van Os; Evangelos Vassos; Muriel Walshe; John Powell; Cathryn M Lewis; Robin M Murray; Elvira Bramon
Journal:  Br J Psychiatry       Date:  2018-09       Impact factor: 9.319

9.  An atlas of genetic correlations across human diseases and traits.

Authors:  Brendan Bulik-Sullivan; Hilary K Finucane; Verneri Anttila; Alexander Gusev; Felix R Day; Po-Ru Loh; Laramie Duncan; John R B Perry; Nick Patterson; Elise B Robinson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal:  Nat Genet       Date:  2015-09-28       Impact factor: 38.330

10.  A genome-wide association study implicates diacylglycerol kinase eta (DGKH) and several other genes in the etiology of bipolar disorder.

Authors:  A E Baum; N Akula; M Cabanero; I Cardona; W Corona; B Klemens; T G Schulze; S Cichon; M Rietschel; M M Nöthen; A Georgi; J Schumacher; M Schwarz; R Abou Jamra; S Höfels; P Propping; J Satagopan; S D Detera-Wadleigh; J Hardy; F J McMahon
Journal:  Mol Psychiatry       Date:  2007-05-08       Impact factor: 15.992

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  1 in total

Review 1.  Clinical Value of Inflammatory and Neurotrophic Biomarkers in Bipolar Disorder: A Systematic Review and Meta-Analysis.

Authors:  Amanda Vega-Núñez; Carlos Gómez-Sánchez-Lafuente; Fermín Mayoral-Cleries; Antonio Bordallo; Fernando Rodríguez de Fonseca; Juan Suárez; José Guzmán-Parra
Journal:  Biomedicines       Date:  2022-06-09
  1 in total

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