Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation.
dc.contributor.author | Lock, Eric F | |
dc.contributor.author | Soldano, Karen L | |
dc.contributor.author | Garrett, Melanie E | |
dc.contributor.author | Cope, Heidi | |
dc.contributor.author | Markunas, Christina A | |
dc.contributor.author | Fuchs, Herbert | |
dc.contributor.author | Grant, Gerald | |
dc.contributor.author | Dunson, David B | |
dc.contributor.author | Gregory, Simon G | |
dc.contributor.author | Ashley-Koch, Allison E | |
dc.coverage.spatial | England | |
dc.date.accessioned | 2017-10-01T21:17:50Z | |
dc.date.available | 2017-10-01T21:17:50Z | |
dc.date.issued | 2015-01-22 | |
dc.description.abstract | BACKGROUND: Expression quantitative trait loci (eQTL) play an important role in the regulation of gene expression. Gene expression levels and eQTLs are expected to vary from tissue to tissue, and therefore multi-tissue analyses are necessary to fully understand complex genetic conditions in humans. Dura mater tissue likely interacts with cranial bone growth and thus may play a role in the etiology of Chiari Type I Malformation (CMI) and related conditions, but it is often inaccessible and its gene expression has not been well studied. A genetic basis to CMI has been established; however, the specific genetic risk factors are not well characterized. RESULTS: We present an assessment of eQTLs for whole blood and dura mater tissue from individuals with CMI. A joint-tissue analysis identified 239 eQTLs in either dura or blood, with 79% of these eQTLs shared by both tissues. Several identified eQTLs were novel and these implicate genes involved in bone development (IPO8, XYLT1, and PRKAR1A), and ribosomal pathways related to marrow and bone dysfunction, as potential candidates in the development of CMI. CONCLUSIONS: Despite strong overall heterogeneity in expression levels between blood and dura, the majority of cis-eQTLs are shared by both tissues. The power to detect shared eQTLs was improved by using an integrative statistical approach. The identified tissue-specific and shared eQTLs provide new insight into the genetic basis for CMI and related conditions. | |
dc.identifier | ||
dc.identifier | s12864-014-1211-8 | |
dc.identifier.eissn | 1471-2164 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | BMC Genomics | |
dc.relation.isversionof | 10.1186/s12864-014-1211-8 | |
dc.subject | Adolescent | |
dc.subject | Arnold-Chiari Malformation | |
dc.subject | Bone Development | |
dc.subject | Child | |
dc.subject | Child, Preschool | |
dc.subject | Cyclic AMP-Dependent Protein Kinase RIalpha Subunit | |
dc.subject | Dura Mater | |
dc.subject | Female | |
dc.subject | Gene Regulatory Networks | |
dc.subject | Genotype | |
dc.subject | Humans | |
dc.subject | Male | |
dc.subject | Pentosyltransferases | |
dc.subject | Polymorphism, Single Nucleotide | |
dc.subject | Quantitative Trait Loci | |
dc.subject | beta Karyopherins | |
dc.title | Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation. | |
dc.type | Journal article | |
duke.contributor.orcid | Grant, Gerald|0000-0002-2651-4603 | |
duke.contributor.orcid | Gregory, Simon G|0000-0002-7805-1743 | |
duke.contributor.orcid | Ashley-Koch, Allison E|0000-0001-5409-9155 | |
pubs.author-url | ||
pubs.begin-page | 11 | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Biostatistics & Bioinformatics | |
pubs.organisational-group | Center for Child and Family Policy | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | Duke Molecular Physiology Institute | |
pubs.organisational-group | Electrical and Computer Engineering | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Medicine, Nephrology | |
pubs.organisational-group | Molecular Genetics and Microbiology | |
pubs.organisational-group | Neurology | |
pubs.organisational-group | Neurology, MS & Neuroimmunology | |
pubs.organisational-group | Neurosurgery | |
pubs.organisational-group | Pathology | |
pubs.organisational-group | Pediatrics | |
pubs.organisational-group | Pratt School of Engineering | |
pubs.organisational-group | Sanford School of Public Policy | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Staff | |
pubs.organisational-group | Statistical Science | |
pubs.organisational-group | Trinity College of Arts & Sciences | |
pubs.organisational-group | University Institutes and Centers | |
pubs.publication-status | Published online | |
pubs.volume | 16 |
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