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A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis
BACKGROUND: The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute to susceptibility of BPD. We screened 637 BP-pedigrees from the NIMH Genetic In...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683747/ https://www.ncbi.nlm.nih.gov/pubmed/26692414 http://dx.doi.org/10.1186/s13040-015-0076-y |
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author | Lekman, Magnus Karlsson, Robert Graae, Lisette Hössjer, Ola Kockum, Ingrid |
author_facet | Lekman, Magnus Karlsson, Robert Graae, Lisette Hössjer, Ola Kockum, Ingrid |
author_sort | Lekman, Magnus |
collection | PubMed |
description | BACKGROUND: The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute to susceptibility of BPD. We screened 637 BP-pedigrees from the NIMH Genetic Initiative and gave priority to 46 pedigrees. In this subsample we performed parametric and non-parametric genome-wide linkage analyses using ~21,000 SNP-markers. We developed an algorithm to test for linkage restricted to regions with CNVs that are shared within and across families. RESULTS: For the combined CNV and linkage analysis, one region on 19q13 survived correction for multiple comparisons and replicates a previous BPD risk locus. The shared CNV map to the pregnancy-specific glycoprotein (PSG) gene, a gene-family not previously implicated in BPD etiology. Two SNPs in the shared CNV are likely transcription factor binding sites and are linked to expression of an F-box binding gene, a key regulator of neuronal pathways suggested to be involved in BPD etiology. CONCLUSIONS: Our CNV-weighted linkage approach identifies a risk locus for BPD on 19q13 and forms a useful tool to future studies to unravel part of the genetic vulnerability to BPD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13040-015-0076-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4683747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46837472015-12-19 A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis Lekman, Magnus Karlsson, Robert Graae, Lisette Hössjer, Ola Kockum, Ingrid BioData Min Research BACKGROUND: The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute to susceptibility of BPD. We screened 637 BP-pedigrees from the NIMH Genetic Initiative and gave priority to 46 pedigrees. In this subsample we performed parametric and non-parametric genome-wide linkage analyses using ~21,000 SNP-markers. We developed an algorithm to test for linkage restricted to regions with CNVs that are shared within and across families. RESULTS: For the combined CNV and linkage analysis, one region on 19q13 survived correction for multiple comparisons and replicates a previous BPD risk locus. The shared CNV map to the pregnancy-specific glycoprotein (PSG) gene, a gene-family not previously implicated in BPD etiology. Two SNPs in the shared CNV are likely transcription factor binding sites and are linked to expression of an F-box binding gene, a key regulator of neuronal pathways suggested to be involved in BPD etiology. CONCLUSIONS: Our CNV-weighted linkage approach identifies a risk locus for BPD on 19q13 and forms a useful tool to future studies to unravel part of the genetic vulnerability to BPD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13040-015-0076-y) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-18 /pmc/articles/PMC4683747/ /pubmed/26692414 http://dx.doi.org/10.1186/s13040-015-0076-y Text en © Lekman et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Lekman, Magnus Karlsson, Robert Graae, Lisette Hössjer, Ola Kockum, Ingrid A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title | A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title_full | A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title_fullStr | A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title_full_unstemmed | A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title_short | A significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
title_sort | significant risk locus on 19q13 for bipolar disorder identified using a combined genome-wide linkage and copy number variation analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683747/ https://www.ncbi.nlm.nih.gov/pubmed/26692414 http://dx.doi.org/10.1186/s13040-015-0076-y |
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