Literature DB >> 29473973

Expression Quantitative Trait Locus Study of Bone Mineral Density GWAS Variants in Human Osteoclasts.

Benjamin H Mullin1,2, Kun Zhu1,2, Jiake Xu2, Suzanne J Brown1, Shelby Mullin1,2, Jennifer Tickner2, Nathan J Pavlos2, Frank Dudbridge3, John P Walsh1,4, Scott G Wilson1,2,5.   

Abstract

Osteoporosis is a complex disease with a strong genetic component. Genomewide association studies (GWAS) have been very successful at identifying common genetic variants associated with bone parameters. A recently published study documented the results of the largest GWAS for bone mineral density (BMD) performed to date (n = 142,487), identifying 307 conditionally independent single-nucleotide polymorphisms (SNPs) as associated with estimated BMD (eBMD) at the genomewide significance level. The vast majority of these variants are non-coding SNPs. Expression quantitative trait locus (eQTL) studies using disease-specific cell types have increasingly been integrated with the results from GWAS to identify genes through which the observed GWAS associations are likely mediated. We generated a unique human osteoclast-specific eQTL data set using cells differentiated in vitro from 158 participants. We then used this resource to characterize the 307 recently identified BMD GWAS SNPs for association with nearby genes (±500 kb). After correction for multiple testing, 24 variants were found to be significantly associated with the expression of 32 genes in the osteoclast-like cells. Bioinformatics analysis suggested that these variants and those in strong linkage disequilibrium with them are enriched in regulatory regions. Several of the eQTL associations identified are relevant to genes that present strongly as having a role in bone, particularly IQGAP1, CYP19A1, CTNNB1, and COL6A3. Supporting evidence for many of the associations was obtained from publicly available eQTL data sets. We have also generated strong evidence for the presence of a regulatory region on chromosome 15q21.2 relevant to both the GLDN and CYP19A1 genes. In conclusion, we have generated a unique osteoclast-specific eQTL resource and have used this to identify 32 eQTL associations for recently identified BMD GWAS loci, which should inform functional studies of osteoclast biology.
© 2018 American Society for Bone and Mineral Research. © 2018 American Society for Bone and Mineral Research.

Entities:  

Keywords:  CELL/TISSUE SIGNALING - PARACRINE PATHWAYS; GENETIC RESEARCH; HUMAN ASSOCIATION STUDIES; OSTEOCLASTS; OSTEOPOROSIS

Mesh:

Year:  2018        PMID: 29473973     DOI: 10.1002/jbmr.3412

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  14 in total

Review 1.  Dissecting the Genetics of Osteoporosis using Systems Approaches.

Authors:  Basel M Al-Barghouthi; Charles R Farber
Journal:  Trends Genet       Date:  2018-11-20       Impact factor: 11.639

2.  A multiethnic whole genome sequencing study to identify novel loci for bone mineral density.

Authors:  Jonathan Greenbaum; Kuan-Jui Su; Xiao Zhang; Yong Liu; Anqi Liu; Lan-Juan Zhao; Zhe Luo; Qing Tian; Hui Shen; Hong-Wen Deng
Journal:  Hum Mol Genet       Date:  2022-03-31       Impact factor: 5.121

Review 3.  The Musculoskeletal Knowledge Portal: Making Omics Data Useful to the Broader Scientific Community.

Authors:  Douglas P Kiel; John P Kemp; Fernando Rivadeneira; Jennifer J Westendorf; David Karasik; Emma L Duncan; Yuuki Imai; Ralph Müller; Jason Flannick; Lynda Bonewald; Noël Burtt
Journal:  J Bone Miner Res       Date:  2020-09       Impact factor: 6.741

4.  Pleiotropic loci underlying bone mineral density and bone size identified by a bivariate genome-wide association analysis.

Authors:  H Zhang; L Liu; J-J Ni; X-T Wei; G-J Feng; X-L Yang; Q Xu; Z-J Zhang; R Hai; Q Tian; H Shen; H-W Deng; Y-F Pei; L Zhang
Journal:  Osteoporos Int       Date:  2020-04-20       Impact factor: 4.507

5.  Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs.

Authors:  Abiskar Gyawali; Vivek Shrestha; Katherine E Guill; Sherry Flint-Garcia; Timothy M Beissinger
Journal:  BMC Plant Biol       Date:  2019-10-08       Impact factor: 4.215

6.  Two novel pleiotropic loci associated with osteoporosis and abdominal obesity.

Authors:  Lu Liu; Xiao-Lin Yang; Hong Zhang; Zi-Jia Zhang; Xin-Tong Wei; Gui-Juan Feng; Ju Liu; Hui-Ping Peng; Rong Hai; Hui Shen; Qing Tian; Hong-Wen Deng; Yu-Fang Pei; Lei Zhang
Journal:  Hum Genet       Date:  2020-04-01       Impact factor: 4.132

Review 7.  A road map for understanding molecular and genetic determinants of osteoporosis.

Authors:  Tie-Lin Yang; Hui Shen; Anqi Liu; Shan-Shan Dong; Lei Zhang; Fei-Yan Deng; Qi Zhao; Hong-Wen Deng
Journal:  Nat Rev Endocrinol       Date:  2019-12-02       Impact factor: 43.330

Review 8.  Using "-omics" Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field.

Authors:  Abdullah Abood; Charles R Farber
Journal:  Curr Osteoporos Rep       Date:  2021-06-14       Impact factor: 5.096

9.  Identifying Pleiotropic SNPs Associated With Femoral Neck and Heel Bone Mineral Density.

Authors:  Pei He; Xiang-He Meng; Xiao Zhang; Xu Lin; Qiang Zhang; Ri-Li Jiang; Martin R Schiller; Fei-Yan Deng; Hong-Wen Deng
Journal:  Front Genet       Date:  2020-07-22       Impact factor: 4.599

10.  Genetic regulatory mechanisms in human osteoclasts suggest a role for the STMP1 and DCSTAMP genes in Paget's disease of bone.

Authors:  Benjamin H Mullin; Kun Zhu; Suzanne J Brown; Shelby Mullin; Jennifer Tickner; Nathan J Pavlos; Frank Dudbridge; Jiake Xu; John P Walsh; Scott G Wilson
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

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