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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Leveraging osteoclast genetic regulatory data to identify genes with a role in osteoarthritis.
Genetics 225:iyad150 (2023)
There has been a growing interest in the role of the subchondral bone and its resident osteoclasts in the progression of osteoarthritis (OA). A recent genome-wide association study (GWAS) identified 100 independent association signals for OA traits. Most of these signals are led by noncoding variants, suggesting that genetic regulatory effects may drive many of the associations. We have generated a unique human osteoclast-like cell-specific expression quantitative trait locus (eQTL) resource for studying the genetics of bone disease. Considering the potential role of osteoclasts in the pathogenesis of OA, we performed an integrative analysis of this dataset with the recently published OA GWAS results. Summary data-based Mendelian randomization (SMR) and colocalization analyses identified 38 genes with a potential role in OA, including some that have been implicated in Mendelian diseases with joint/skeletal abnormalities, such as BICRA, EIF6, CHST3, and FBN2. Several OA GWAS signals demonstrated colocalization with more than one eQTL peak, including at 19q13.32 (hip OA with BCAM, PRKD2, and BICRA eQTL). We also identified a number of eQTL signals colocalizing with more than one OA trait, including FAM53A, GCAT, HMGN1, MGAT4A, RRP7BP, and TRIOBP. An SMR analysis identified 3 loci with evidence of pleiotropic effects on OA-risk and gene expression: LINC01481, CPNE1, and EIF6. Both CPNE1 and EIF6 are located at 20q11.22, a locus harboring 2 other strong OA candidate genes, GDF5 and UQCC1, suggesting the presence of an OA-risk gene cluster. In summary, we have used our osteoclast-specific eQTL dataset to identify genes potentially involved with the pathogenesis of OA.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Colocalization ; Expression Quantitative Trait Locus ; Gene Expression ; Genome-wide Association Study ; Osteoarthritis ; Osteoclast; Subchondral Bone; Cartilage; Contribute; Disorder; Women; Hip
ISSN (print) / ISBN
0016-6731
e-ISSN
0016-6731
Zeitschrift
Genetics
Quellenangaben
Band: 225,
Heft: 2,
Artikelnummer: iyad150
Verlag
Genetics Society of America
Verlagsort
9650 Rockville Ave, Bethesda, Md 20814 Usa
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Translational Genomics (ITG)
Förderungen
Department of Health