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Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate

Bipolar disorder is a common, heritable mental illness characterized by recurrent episodes of mania and depression. Despite considerable effort to elucidate the genetic underpinnings of bipolar disorder, causative genetic risk factors remain elusive. We conducted a comprehensive genomic analysis of...

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Autores principales: Georgi, Benjamin, Craig, David, Kember, Rachel L., Liu, Wencheng, Lindquist, Ingrid, Nasser, Sara, Brown, Christopher, Egeland, Janice A., Paul, Steven M., Bućan, Maja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953017/
https://www.ncbi.nlm.nih.gov/pubmed/24625924
http://dx.doi.org/10.1371/journal.pgen.1004229
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author Georgi, Benjamin
Craig, David
Kember, Rachel L.
Liu, Wencheng
Lindquist, Ingrid
Nasser, Sara
Brown, Christopher
Egeland, Janice A.
Paul, Steven M.
Bućan, Maja
author_facet Georgi, Benjamin
Craig, David
Kember, Rachel L.
Liu, Wencheng
Lindquist, Ingrid
Nasser, Sara
Brown, Christopher
Egeland, Janice A.
Paul, Steven M.
Bućan, Maja
author_sort Georgi, Benjamin
collection PubMed
description Bipolar disorder is a common, heritable mental illness characterized by recurrent episodes of mania and depression. Despite considerable effort to elucidate the genetic underpinnings of bipolar disorder, causative genetic risk factors remain elusive. We conducted a comprehensive genomic analysis of bipolar disorder in a large Old Order Amish pedigree. Microsatellite genotypes and high-density SNP-array genotypes of 388 family members were combined with whole genome sequence data for 50 of these subjects, comprising 18 parent-child trios. This study design permitted evaluation of candidate variants within the context of haplotype structure by resolving the phase in sequenced parent-child trios and by imputation of variants into multiple unsequenced siblings. Non-parametric and parametric linkage analysis of the entire pedigree as well as on smaller clusters of families identified several nominally significant linkage peaks, each of which included dozens of predicted deleterious variants. Close inspection of exonic and regulatory variants in genes under the linkage peaks using family-based association tests revealed additional credible candidate genes for functional studies and further replication in population-based cohorts. However, despite the in-depth genomic characterization of this unique, large and multigenerational pedigree from a genetic isolate, there was no convergence of evidence implicating a particular set of risk loci or common pathways. The striking haplotype and locus heterogeneity we observed has profound implications for the design of studies of bipolar and other related disorders.
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spelling pubmed-39530172014-03-18 Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate Georgi, Benjamin Craig, David Kember, Rachel L. Liu, Wencheng Lindquist, Ingrid Nasser, Sara Brown, Christopher Egeland, Janice A. Paul, Steven M. Bućan, Maja PLoS Genet Research Article Bipolar disorder is a common, heritable mental illness characterized by recurrent episodes of mania and depression. Despite considerable effort to elucidate the genetic underpinnings of bipolar disorder, causative genetic risk factors remain elusive. We conducted a comprehensive genomic analysis of bipolar disorder in a large Old Order Amish pedigree. Microsatellite genotypes and high-density SNP-array genotypes of 388 family members were combined with whole genome sequence data for 50 of these subjects, comprising 18 parent-child trios. This study design permitted evaluation of candidate variants within the context of haplotype structure by resolving the phase in sequenced parent-child trios and by imputation of variants into multiple unsequenced siblings. Non-parametric and parametric linkage analysis of the entire pedigree as well as on smaller clusters of families identified several nominally significant linkage peaks, each of which included dozens of predicted deleterious variants. Close inspection of exonic and regulatory variants in genes under the linkage peaks using family-based association tests revealed additional credible candidate genes for functional studies and further replication in population-based cohorts. However, despite the in-depth genomic characterization of this unique, large and multigenerational pedigree from a genetic isolate, there was no convergence of evidence implicating a particular set of risk loci or common pathways. The striking haplotype and locus heterogeneity we observed has profound implications for the design of studies of bipolar and other related disorders. Public Library of Science 2014-03-13 /pmc/articles/PMC3953017/ /pubmed/24625924 http://dx.doi.org/10.1371/journal.pgen.1004229 Text en © 2014 Georgi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Georgi, Benjamin
Craig, David
Kember, Rachel L.
Liu, Wencheng
Lindquist, Ingrid
Nasser, Sara
Brown, Christopher
Egeland, Janice A.
Paul, Steven M.
Bućan, Maja
Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title_full Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title_fullStr Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title_full_unstemmed Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title_short Genomic View of Bipolar Disorder Revealed by Whole Genome Sequencing in a Genetic Isolate
title_sort genomic view of bipolar disorder revealed by whole genome sequencing in a genetic isolate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953017/
https://www.ncbi.nlm.nih.gov/pubmed/24625924
http://dx.doi.org/10.1371/journal.pgen.1004229
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