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

Authors :
Georgi, Benjamin
Craig, David
Kember, Rachel L.
Liu, Wencheng
Lindquist, Ingrid
Nasser, Sara
Brown, Christopher
Egeland, Janice A.
Paul, Steven M.
Bućan, Maja
Source :
PLoS Genetics. Mar2014, Vol. 10 Issue 3, p1-15. 15p.
Publication Year :
2014

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15537390
Volume :
10
Issue :
3
Database :
Academic Search Index
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
95434988
Full Text :
https://doi.org/10.1371/journal.pgen.1004229