Genomic variants in an inbred mouse model predict mania-like behaviors.

Contemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great po...

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Main Authors: Michael C Saul, Sharon A Stevenson, Changjiu Zhao, Terri M Driessen, Brian E Eisinger, Stephen C Gammie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5955540?pdf=render
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spelling doaj-7e1baf2bf84e4f64bf3cc6e880733eff2020-11-24T21:09:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01135e019762410.1371/journal.pone.0197624Genomic variants in an inbred mouse model predict mania-like behaviors.Michael C SaulSharon A StevensonChangjiu ZhaoTerri M DriessenBrian E EisingerStephen C GammieContemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great potential as mania models. Their acceptance is often limited by the lack of genotypic data needed to establish construct validity. In this study, we used a unique strategy to inexpensively explore and confirm population allele differences in naturally occurring candidate variants in a manic rodent strain, the Madison (MSN) mouse strain. Variants were identified using whole exome resequencing on a small population of animals. Interesting candidate variants were confirmed in a larger population with genotyping. We enriched these results with observations of locomotor behavior from a previous study. Resequencing identified 447 structural variants that are mostly fixed in the MSN strain relative to control strains. After filtering and annotation, we found 11 non-synonymous MSN variants that we believe alter protein function. The allele frequencies for 6 of these variants were consistent with explanatory variants for the Madison strain's phenotype. The variants are in the Npas2, Cp, Polr3c, Smarca4, Trpv1, and Slc5a7 genes, and many of these genes' products are in pathways implicated in human bipolar disorders. Variants in Smarca4 and Polr3c together explained over 40% of the variance in locomotor behavior in the Hsd:ICR founder strain. These results enhance the MSN strain's construct validity and implicate altered nucleosome structure and transcriptional regulation as a chief molecular system underpinning behavior.http://europepmc.org/articles/PMC5955540?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Michael C Saul
Sharon A Stevenson
Changjiu Zhao
Terri M Driessen
Brian E Eisinger
Stephen C Gammie
spellingShingle Michael C Saul
Sharon A Stevenson
Changjiu Zhao
Terri M Driessen
Brian E Eisinger
Stephen C Gammie
Genomic variants in an inbred mouse model predict mania-like behaviors.
PLoS ONE
author_facet Michael C Saul
Sharon A Stevenson
Changjiu Zhao
Terri M Driessen
Brian E Eisinger
Stephen C Gammie
author_sort Michael C Saul
title Genomic variants in an inbred mouse model predict mania-like behaviors.
title_short Genomic variants in an inbred mouse model predict mania-like behaviors.
title_full Genomic variants in an inbred mouse model predict mania-like behaviors.
title_fullStr Genomic variants in an inbred mouse model predict mania-like behaviors.
title_full_unstemmed Genomic variants in an inbred mouse model predict mania-like behaviors.
title_sort genomic variants in an inbred mouse model predict mania-like behaviors.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description Contemporary rodent models for bipolar disorders split the bipolar spectrum into complimentary behavioral endophenotypes representing mania and depression. Widely accepted mania models typically utilize single gene transgenics or pharmacological manipulations, but inbred rodent strains show great potential as mania models. Their acceptance is often limited by the lack of genotypic data needed to establish construct validity. In this study, we used a unique strategy to inexpensively explore and confirm population allele differences in naturally occurring candidate variants in a manic rodent strain, the Madison (MSN) mouse strain. Variants were identified using whole exome resequencing on a small population of animals. Interesting candidate variants were confirmed in a larger population with genotyping. We enriched these results with observations of locomotor behavior from a previous study. Resequencing identified 447 structural variants that are mostly fixed in the MSN strain relative to control strains. After filtering and annotation, we found 11 non-synonymous MSN variants that we believe alter protein function. The allele frequencies for 6 of these variants were consistent with explanatory variants for the Madison strain's phenotype. The variants are in the Npas2, Cp, Polr3c, Smarca4, Trpv1, and Slc5a7 genes, and many of these genes' products are in pathways implicated in human bipolar disorders. Variants in Smarca4 and Polr3c together explained over 40% of the variance in locomotor behavior in the Hsd:ICR founder strain. These results enhance the MSN strain's construct validity and implicate altered nucleosome structure and transcriptional regulation as a chief molecular system underpinning behavior.
url http://europepmc.org/articles/PMC5955540?pdf=render
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AT terrimdriessen genomicvariantsinaninbredmousemodelpredictmanialikebehaviors
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