1
|
Gualdrón Duarte JL, Yuan C, Gori AS, Moreira GCM, Takeda H, Coppieters W, Charlier C, Georges M, Druet T. Sequenced-based GWAS for linear classification traits in Belgian Blue beef cattle reveals new coding variants in genes regulating body size in mammals. Genet Sel Evol 2023; 55:83. [PMID: 38017417 PMCID: PMC10683324 DOI: 10.1186/s12711-023-00857-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 11/17/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Cohorts of individuals that have been genotyped and phenotyped for genomic selection programs offer the opportunity to better understand genetic variation associated with complex traits. Here, we performed an association study for traits related to body size and muscular development in intensively selected beef cattle. We leveraged multiple trait information to refine and interpret the significant associations. RESULTS After a multiple-step genotype imputation to the sequence-level for 14,762 Belgian Blue beef (BBB) cows, we performed a genome-wide association study (GWAS) for 11 traits related to muscular development and body size. The 37 identified genome-wide significant quantitative trait loci (QTL) could be condensed in 11 unique QTL regions based on their position. Evidence for pleiotropic effects was found in most of these regions (e.g., correlated association signals, overlap between credible sets (CS) of candidate variants). Thus, we applied a multiple-trait approach to combine information from different traits to refine the CS. In several QTL regions, we identified strong candidate genes known to be related to growth and height in other species such as LCORL-NCAPG or CCND2. For some of these genes, relevant candidate variants were identified in the CS, including three new missense variants in EZH2, PAPPA2 and ADAM12, possibly two additional coding variants in LCORL, and candidate regulatory variants linked to CCND2 and ARMC12. Strikingly, four other QTL regions associated with dimension or muscular development traits were related to five (recessive) deleterious coding variants previously identified. CONCLUSIONS Our study further supports that a set of common genes controls body size across mammalian species. In particular, we added new genes to the list of those associated with height in both humans and cattle. We also identified new strong candidate causal variants in some of these genes, strengthening the evidence of their causality. Several breed-specific recessive deleterious variants were identified in our QTL regions, probably as a result of the extreme selection for muscular development in BBB cattle.
Collapse
Affiliation(s)
- José Luis Gualdrón Duarte
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium.
- Walloon Breeders Association, Rue des Champs Elysées, 4, 5590, Ciney, Belgium.
| | - Can Yuan
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| | - Ann-Stephan Gori
- Walloon Breeders Association, Rue des Champs Elysées, 4, 5590, Ciney, Belgium
| | - Gabriel C M Moreira
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| | - Haruko Takeda
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| | - Wouter Coppieters
- GIGA Genomic Platform, GIGA-R, University of Liège, Avenue de l'Hôpital, 1, 4000, Liège, Belgium
| | - Carole Charlier
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| | - Michel Georges
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| | - Tom Druet
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Avenue de l'Hôpital, 1, Liège, 4000, Belgium
| |
Collapse
|
2
|
Yu FF, Zuo J, Sun L, Yu SY, Lei XL, Zhu JH, Zhou GY, Guo X, Ba Y. Animal models of Kashin-Beck disease exposed to environmental risk factors: Methods and comparisons. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 234:113419. [PMID: 35304334 DOI: 10.1016/j.ecoenv.2022.113419] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/06/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
The main etiological mechanism for Kashin-Beck disease (KBD) is deep chondrocyte necrosis induced by environmental risk factors (ERFs). The scholars have conducted several epidemiological, cellular, and animal model studies on ERFs. Gradually, four etiological hypotheses have been formed, including water of organic poisoning hypothesis represented by fulvic acid (FA), biogeochemical hypothesis represented by selenium (Se) deficiency, food mycotoxin poisoning hypothesis represented by T-2 toxin poisoning and compound etiology theory hypothesis. The animal models of KBD have been replicated based on the previous etiological hypotheses. The different species of animals (monkey, rat, dog, pig, chicken, and rabbit) were treated with different ERFs interventions, and the clinical manifestations and pathological changes of articular cartilages were observed. The animals in the experimental group were fed with endemic water, endemic grain, low nutrition, thallium sulfate, FA, Se, T-2 toxin, and iodine. The dose of thallium sulfate was 1154 μg/d; the doses range of FA were 5, 50, 150, 200, and 211 mg/kg; the doses range of Se were 0.00035, 0.00175, 0.005, 0.02, 0.031, 0.1, 0.15, 0.314, 0.5, and 10 mg/kg; the doses range of T-2 toxin were 40, 100, 200, 600, 1000, 1500, 3000, 6000, and 9000 ng/g; and the doses range of iodine were 0.04, 0.18, and 0.4-0.5 μg/g. The sample size ranged from 9 to 230 depending on the interventions and grouping; the follow-up duration ranged from 1 week to 18 months. Moreover, the methods and comparisons of different animal models of KBD had been summarized to provide a useful basis for studying the pathogenesis of KBD. In conclusion, the rhesus monkeys administrated endemic water and grain were susceptible animals to replicate KBD. The rats treated with T-2 toxin combined with Se/nutrition deficiency could be a suitable and widely used animal model.
Collapse
Affiliation(s)
- Fang-Fang Yu
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Juan Zuo
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Lei Sun
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Shui-Yuan Yu
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Xiao-Li Lei
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Jun-Hua Zhu
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Guo-Yu Zhou
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| | - Xiong Guo
- Institute of Endemic Diseases, School of Public Health of Health Science Center, Xi'an, Jiaotong University, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an 710061, PR China.
| | - Yue Ba
- Department of Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, Zhengzhou, Henan 450001, PR China.
| |
Collapse
|
3
|
Cheng B, Liang C, Yang X, Li P, Liu L, Cheng S, Jia Y, Zhang L, Ma M, Qi X, Yao Y, Chu X, Ye J, Lu C, Guo X, Wen Y, Zhang F. Genetic association scan of 32 osteoarthritis susceptibility genes identified TP63 associated with an endemic osteoarthritis, Kashin-Beck disease. Bone 2021; 150:115997. [PMID: 33964467 DOI: 10.1016/j.bone.2021.115997] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/20/2021] [Accepted: 04/15/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Kashin-Beck disease (KBD) is an endemic chronic osteochondropathy. The clinical manifestations and radiographic features of adult KBD were similar to those of osteoarthritis (OA). METHODS We first performed a genetic association scan of 32 OA susceptibility genes with KBD in 898 Han Chinese subjects. The MassARRAY genotyping system (Agena) was used for SNP genotyping. PLINK 1.9 was used for quality control and association testing. Using articular cartilage specimens from 7 adult KBD patients and 4 control subjects, lentivirus-mediated RNA interference (RNAi), qRT-PCR, Western blot and immunohistochemistry were employed to explore the functional relevance of TP63 to KBD chondrocyte. RESULTS SNP genotyping and association analysis identified TP63 (rs12107036, P = 0.005, OR = 0.71) and OARD1 (rs11280, P = 0.004, OR = 1.51) were significantly associated with KBD. It was also found that TP63 was significantly up-regulated in KBD articular cartilage in both mRNA and protein level compared with the controls (P < 0.05). TP63 suppression by lentivirus-mediated RNAi notably decreased the abundance of Caspase3 and SOX9 in chondrocytes. Most importantly, compared with the scrambled sequence (shControl) group, the protein level of ACAN was increased in the shTP63 group. The mRNA expression of chondrocyte marker genes (COL2A1 and ACAN) was not significantly changed after TP63 knockdown relative to shControl group. CONCLUSION Our study identifies TP63 as a novel susceptibility gene for KBD, and demonstrates that the inhibition of TP63 suppresses chondrocyte apoptosis and partly facilitates chondrogenesis. The combination of SNP genotyping and molecular biology techniques provides a useful tool for understanding the biological mechanism and differential diagnosis studies of KBD and OA.
Collapse
Affiliation(s)
- Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Xiaomeng Chu
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Jing Ye
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Chao Lu
- Department of Joint Surgery, Xi'an Honghui Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China.
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, China.
| |
Collapse
|
4
|
He X, Bai M, Liu M, Wang L, He Y, Rong H, Yuan D, Jin T. Genetic variants in the ITPR2 gene are associated with Kashin-Beck Disease in Tibetan. Mol Genet Genomic Med 2019; 7:e00715. [PMID: 31066235 PMCID: PMC6625103 DOI: 10.1002/mgg3.715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 03/22/2019] [Accepted: 04/15/2019] [Indexed: 12/11/2022] Open
Abstract
Background Kashin‐Beck Disease (KBD) is a chronic, endemic osteoarthropathy. Inositol 1,4,5‐triphosphate receptor type 2 (ITPR2) gene is involved in chondrocytes. We speculated that single‐nucleotide polymorphisms (SNPs) in ITPR2 gene may have an association with KBD in Tibetan. Methods To prove this hypothesis, a total of eight SNPs (rs1049376, rs11048526, rs11048556, rs11048585, rs16931011, rs10842759, rs2230372, and rs7134213) were selected, and genotyped in 316 KBD patients and 320 controls. The association between ITPR2 variants and KBD risk was assessed by logistic regression analysis. Results The study identified significant association (p = 0.019) between KBD and a novel locus, ITPR2 SNP rs11048526 (OR = 1.49, 95% CI = 1.07–2.08). The variant A/G genotype frequency in rs11048526 had a significantly increased risk of KBD in co‐dominant model (OR = 3.70, 95% CI = 1.26–10.89, p = 0.018), dominant model (OR = 3.56, 95% CI = 1.22–10.40, p = 0.020), log‐additive model (OR = 3.00, 95% CI = 1.12–8.00, p = 0.029) after adjusted for age and gender. Conclusion The results indicate a potential association between ITPR2 and KBD risk in Tibetan. Further work is required to confirm these results and explore the mechanisms of these effects.
Collapse
Affiliation(s)
- Xue He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Mei Bai
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Ming Liu
- Department of gynaecology and obstetricsThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
- Department of gynaecology and obstetricsThe Ngari Prefecture People's HospitalNgari PrefectureChina
| | - Li Wang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Yongjun He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Hao Rong
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Dongya Yuan
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| | - Tianbo Jin
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of MedicineXizang Minzu UniversityXianyangChina
| |
Collapse
|
5
|
Zhang R, Guo H, Yang X, Zhang D, Li B, Li Z, Xiong Y. Pathway-based network analyses and candidate genes associated with Kashin-Beck disease. Medicine (Baltimore) 2019; 98:e15498. [PMID: 31045836 PMCID: PMC6504273 DOI: 10.1097/md.0000000000015498] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
To perform a comprehensive analysis focusing on the biological functions and interactions of Kashin-Beck disease (KBD)-related genes to provide information towards understanding the pathogenesis of KBD.A retrospective, integrated bioinformatics analysis was designed and conducted. First, by reviewing the literature deposited in PubMed, we identified 922 genes genetically associated with KBD. Then, biological function and network analyses were conducted with Cytoscape software. Moreover, KBD specific molecular network analysis was conducted by Cytocluster using the Molecular Complex Detection Algorithm (MCODE).The biological function enrichment analysis suggested that collagen catabolic process, protein activation cascade, cellular response to growth factor stimulus, skeletal system development, and extrinsic apoptosis played important roles in KBD development. The apoptosis pathway, NF-kappa B signaling pathway, and the glutathione metabolism pathway were significantly enriched in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway network, suggesting that these pathways may play key roles in KBD occurrence and development. MCODE clusters showed that in top 3 clusters, 54 of KBD-related genes were included in the network and 110 candidate genes were discovered might be potentially related to KBD.The 110 candidate genes discovered in the current study may be related to the development of KBD. The expression changes of apoptosis and oxidative stress-related genes might serve as biomarkers for early diagnosis and treatment of KBD.
Collapse
Affiliation(s)
- Rongqiang Zhang
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Hao Guo
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| | - Xiaoli Yang
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| | - Dandan Zhang
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| | - Baorong Li
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| | - Zhaofang Li
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| | - Yongmin Xiong
- School of Public Health, Xi’an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases of National Health Commission of the People's Republic of China, Xi’an
| |
Collapse
|
6
|
Wu Y, Duan H, Tian X, Xu C, Wang W, Jiang W, Pang Z, Zhang D, Tan Q. Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis. Front Genet 2018; 9:179. [PMID: 29868124 PMCID: PMC5964872 DOI: 10.3389/fgene.2018.00179] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 04/30/2018] [Indexed: 12/19/2022] Open
Abstract
Previous genome-wide association studies on anthropometric measurements have identified more than 100 related loci, but only a small portion of heritability in obesity was explained. Here we present a bivariate twin study to look for the genetic variants associated with body mass index and waist-hip ratio, and to explore the obesity-related pathways in Northern Han Chinese. Cholesky decomposition model for 242 monozygotic and 140 dizygotic twin pairs indicated a moderate genetic correlation (r = 0.53, 95%CI: 0.42-0.64) between body mass index and waist-hip ratio. Bivariate genome-wide association analysis in 139 dizygotic twin pairs identified 26 associated SNPs with p < 10-5. Further gene-based analysis found 291 nominally associated genes (P < 0.05), including F12, HCRTR1, PHOSPHO1, DOCK2, DOCK6, DGKB, GLP1R, TRHR, MMP1, GPR55, CCK, and OR2AK2, as well as 6 enriched gene-sets with FDR < 0.05. Expression quantitative trait loci analysis identified rs2242044 as a significant cis-eQTL in both the normal adipose-subcutaneous (P = 1.7 × 10-9) and adipose-visceral (P = 4.4 × 10-15) tissue. These findings may provide an important entry point to unravel genetic pleiotropy in obesity traits.
Collapse
Affiliation(s)
- Yili Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Haiping Duan
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Chunsheng Xu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Wenjie Jiang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Zengchang Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
7
|
Wen Y, Li P, Hao J, Duan C, Han J, He A, Du Y, Liu L, Liang X, Zhang F, Guo X. Integrating genome-wide DNA methylation and mRNA expression profiles identified different molecular features between Kashin-Beck disease and primary osteoarthritis. Arthritis Res Ther 2018. [PMID: 29514696 PMCID: PMC5842623 DOI: 10.1186/s13075-018-1531-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background Kashin-Beck disease (KBD) is an endemic osteochondropathy of unknown etiology. Osteoarthritis (OA) is a form of degenerative joint disease sharing similar clinical manifestations and pathological changes to articular cartilage with KBD. Methods A genome-wide DNA methylation profile of articular cartilage from five KBD patients and five OA patients was first performed using the Illumina Infinium HumanMethylation450 BeadChip. Together with a previous gene expression profiling dataset comparing KBD cartilage with OA cartilage, an integrative pathway enrichment analysis of the genome-wide DNA methylation and the mRNA expression profiles conducted in articular cartilage was performed by InCroMAP software. Results We identified 241 common genes altered in both the DNA methylation profile and the mRNA expression profile of articular cartilage of KBD versus OA, including CHST13 (NM_152889, fold-change = 0.5979, Pmethy = 0.0430), TGFBR1 (NM_004612, fold-change = 2.077, Pmethy = 0.0430), TGFBR2 (NM_001024847, fold-change = 1.543, Pmethy = 0.037), TGFBR3 (NM_001276, fold-change = 0.4515, Pmethy = 6.04 × 10−4), and ADAM12 (NM_021641, fold-change = 1.9768, Pmethy = 0.0178). Integrative pathway enrichment analysis identified 19 significant KEGG pathways, including mTOR signaling (P = 0.0301), glycosaminoglycan biosynthesis-chondroitin sulfate/dermatan sulfate (P = 0.0391), glycosaminoglycan biosynthesis-keratan sulfate (P = 0.0278), and PI3K-Akt signaling (P = 0.0243). Conclusion This study identified different molecular features between Kashin-Beck disease and primary osteoarthritis and provided novel clues for clarifying the pathogenetic differences between KBD and OA. Electronic supplementary material The online version of this article (10.1186/s13075-018-1531-1) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Jingcan Hao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China.,The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
| | - Chen Duan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Jing Han
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Awen He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Yanan Du
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Xiao Liang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China.
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Xi'an Jiaotong University, Health Science Center, No.76 Yan Ta West Road, Xi'an, 710061, People's Republic of China.
| |
Collapse
|