期刊
BIODATA MINING
卷 8, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s13040-015-0076-y
关键词
Bipolar disorder; Genome-wide; Linkage analysis; Copy number variation
资金
- Swedish Research Council [2005-6929, L2010-61x-20377-04-3]
- Swedish Foundation for Strategic Research [A3 05:207b]
- National Alliance for Research on Schizophrenia and Depression
- Karolinska Institutet
- Center for Gender Medicine at Karolinska Institutet
- Uppsala University
- Uppsala University hospital
- Swedish Council for Research Infrastructure
- Knut and Alice Wallenberg Foundation
- National Institutes of Health [N01-HG-65403]
- Gustafsson Foundation for Research in Natural Sciences and Medicine
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 similar to 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.
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