• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

骨密度的表型剖析揭示了骨骼部位特异性,并有助于在骨量获得的遗传调控中鉴定新的基因座。

Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment.

作者信息

Kemp John P, Medina-Gomez Carolina, Estrada Karol, St Pourcain Beate, Heppe Denise H M, Warrington Nicole M, Oei Ling, Ring Susan M, Kruithof Claudia J, Timpson Nicholas J, Wolber Lisa E, Reppe Sjur, Gautvik Kaare, Grundberg Elin, Ge Bing, van der Eerden Bram, van de Peppel Jeroen, Hibbs Matthew A, Ackert-Bicknell Cheryl L, Choi Kwangbom, Koller Daniel L, Econs Michael J, Williams Frances M K, Foroud Tatiana, Zillikens M Carola, Ohlsson Claes, Hofman Albert, Uitterlinden André G, Davey Smith George, Jaddoe Vincent W V, Tobias Jonathan H, Rivadeneira Fernando, Evans David M

机构信息

MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia.

Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), The Netherlands.

出版信息

PLoS Genet. 2014 Jun 19;10(6):e1004423. doi: 10.1371/journal.pgen.1004423. eCollection 2014 Jun.

DOI:10.1371/journal.pgen.1004423
PMID:24945404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4063697/
Abstract

Heritability of bone mineral density (BMD) varies across skeletal sites, reflecting different relative contributions of genetic and environmental influences. To quantify the degree to which common genetic variants tag and environmental factors influence BMD, at different sites, we estimated the genetic (rg) and residual (re) correlations between BMD measured at the upper limbs (UL-BMD), lower limbs (LL-BMD) and skull (SK-BMD), using total-body DXA scans of ∼ 4,890 participants recruited by the Avon Longitudinal Study of Parents and their Children (ALSPAC). Point estimates of rg indicated that appendicular sites have a greater proportion of shared genetic architecture (LL-/UL-BMD rg = 0.78) between them, than with the skull (UL-/SK-BMD rg = 0.58 and LL-/SK-BMD rg = 0.43). Likewise, the residual correlation between BMD at appendicular sites (r(e) = 0.55) was higher than the residual correlation between SK-BMD and BMD at appendicular sites (r(e) = 0.20-0.24). To explore the basis for the observed differences in rg and re, genome-wide association meta-analyses were performed (n ∼ 9,395), combining data from ALSPAC and the Generation R Study identifying 15 independent signals from 13 loci associated at genome-wide significant level across different skeletal regions. Results suggested that previously identified BMD-associated variants may exert site-specific effects (i.e. differ in the strength of their association and magnitude of effect across different skeletal sites). In particular, variants at CPED1 exerted a larger influence on SK-BMD and UL-BMD when compared to LL-BMD (P = 2.01 × 10(-37)), whilst variants at WNT16 influenced UL-BMD to a greater degree when compared to SK- and LL-BMD (P = 2.31 × 10(-14)). In addition, we report a novel association between RIN3 (previously associated with Paget's disease) and LL-BMD (rs754388: β = 0.13, SE = 0.02, P = 1.4 × 10(-10)). Our results suggest that BMD at different skeletal sites is under a mixture of shared and specific genetic and environmental influences. Allowing for these differences by performing genome-wide association at different skeletal sites may help uncover new genetic influences on BMD.

摘要

骨矿物质密度(BMD)的遗传度在不同骨骼部位有所不同,这反映了遗传和环境影响的不同相对贡献。为了量化常见基因变异标签和环境因素在不同部位对BMD的影响程度,我们利用雅芳亲子纵向研究(ALSPAC)招募的约4890名参与者的全身双能X线吸收法(DXA)扫描数据,估算了上肢(UL-BMD)、下肢(LL-BMD)和颅骨(SK-BMD)测量的BMD之间的遗传(rg)和残差(re)相关性。rg的点估计表明,四肢部位之间共享遗传结构的比例更大(LL-/UL-BMD的rg = 0.78),高于与颅骨之间的比例(UL-/SK-BMD的rg = 0.58,LL-/SK-BMD的rg = 0.43)。同样,四肢部位BMD之间的残差相关性(r(e) = 0.55)高于SK-BMD与四肢部位BMD之间的残差相关性(r(e) = 0.20 - 0.24)。为了探究观察到的rg和re差异的基础,进行了全基因组关联荟萃分析(n ∼ 9395),整合了ALSPAC和Generation R研究的数据,在全基因组显著水平上识别出1个来自13个基因座的15个独立信号,这些基因座分布在不同骨骼区域。结果表明,先前确定的与BMD相关的变异可能具有部位特异性效应(即它们在不同骨骼部位的关联强度和效应大小有所不同)。特别是,与LL-BMD相比,CPED1基因座的变异对SK-BMD和UL-BMD的影响更大(P = 2.01 × 10(-37)),而与SK-BMD和LL-BMD相比,WNT16基因座的变异对UL-BMD的影响更大(P = 2.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/d01d9d15b65f/pgen.1004423.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/aa1bf8a374e5/pgen.1004423.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/e7082b35da08/pgen.1004423.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/d01d9d15b65f/pgen.1004423.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/aa1bf8a374e5/pgen.1004423.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/e7082b35da08/pgen.1004423.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b13a/4063697/d01d9d15b65f/pgen.1004423.g003.jpg

相似文献

1
Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment.骨密度的表型剖析揭示了骨骼部位特异性,并有助于在骨量获得的遗传调控中鉴定新的基因座。
PLoS Genet. 2014 Jun 19;10(6):e1004423. doi: 10.1371/journal.pgen.1004423. eCollection 2014 Jun.
2
Using Mendelian randomization to investigate a possible causal relationship between adiposity and increased bone mineral density at different skeletal sites in children.利用孟德尔随机化研究儿童肥胖与不同骨骼部位骨矿物质密度增加之间可能存在的因果关系。
Int J Epidemiol. 2016 Oct;45(5):1560-1572. doi: 10.1093/ije/dyw079. Epub 2016 May 22.
3
Meta-analysis of genome-wide scans for total body BMD in children and adults reveals allelic heterogeneity and age-specific effects at the WNT16 locus.对儿童和成人全身体骨密度的全基因组扫描进行荟萃分析,揭示了 WNT16 基因座的等位基因异质性和年龄特异性效应。
PLoS Genet. 2012 Jul;8(7):e1002718. doi: 10.1371/journal.pgen.1002718. Epub 2012 Jul 5.
4
WNT16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture risk.WNT16 影响骨密度、皮质骨厚度、骨强度和骨质疏松性骨折风险。
PLoS Genet. 2012 Jul;8(7):e1002745. doi: 10.1371/journal.pgen.1002745. Epub 2012 Jul 5.
5
Genome-wide association study using family-based cohorts identifies the WLS and CCDC170/ESR1 loci as associated with bone mineral density.使用基于家系的队列进行的全基因组关联研究确定WLS和CCDC170/ESR1基因座与骨密度相关。
BMC Genomics. 2016 Feb 25;17:136. doi: 10.1186/s12864-016-2481-0.
6
A trans-ethnic genome-wide association study identifies gender-specific loci influencing pediatric aBMD and BMC at the distal radius.一项跨种族全基因组关联研究确定了影响桡骨远端儿童骨密度和骨矿含量的性别特异性基因座。
Hum Mol Genet. 2015 Sep 1;24(17):5053-9. doi: 10.1093/hmg/ddv210. Epub 2015 Jun 3.
7
Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.在全基因组关联研究的荟萃分析中鉴定与骨密度相关的艾杜糖醛酸酶(IDUA)和WNT16磷酸化相关非同义多态性
J Bone Miner Res. 2016 Feb;31(2):358-68. doi: 10.1002/jbmr.2687. Epub 2015 Sep 11.
8
Bivariate genome-wide association meta-analysis of pediatric musculoskeletal traits reveals pleiotropic effects at the SREBF1/TOM1L2 locus.儿童肌肉骨骼特征的双变量全基因组关联荟萃分析揭示了SREBF1/TOM1L2基因座的多效性作用。
Nat Commun. 2017 Jul 25;8(1):121. doi: 10.1038/s41467-017-00108-3.
9
Joint Association Analysis Identified 18 New Loci for Bone Mineral Density.联合关联分析鉴定出 18 个新的骨密度位点。
J Bone Miner Res. 2019 Jun;34(6):1086-1094. doi: 10.1002/jbmr.3681. Epub 2019 Feb 28.
10
A Genomewide Association Study Identifies Two Sex-Specific Loci, at SPTB and IZUMO3, Influencing Pediatric Bone Mineral Density at Multiple Skeletal Sites.一项全基因组关联研究确定了位于SPTB和IZUMO3的两个性别特异性基因座,它们影响多个骨骼部位的儿童骨密度。
J Bone Miner Res. 2017 Jun;32(6):1274-1281. doi: 10.1002/jbmr.3097. Epub 2017 Mar 2.

引用本文的文献

1
Genome wide association study reveals novel associations with face morphology.全基因组关联研究揭示了与面部形态的新关联。
PLoS One. 2025 Feb 10;20(2):e0299660. doi: 10.1371/journal.pone.0299660. eCollection 2025.
2
Identification of a global gene expression signature associated with the genetic risk of catastrophic fracture in iPSC-derived osteoblasts from Thoroughbred horses.从纯种马诱导多能干细胞衍生的成骨细胞中鉴定与灾难性骨折遗传风险相关的全基因组基因表达特征。
Anim Genet. 2025 Feb;56(1):e13504. doi: 10.1111/age.13504.
3
Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study.

本文引用的文献

1
Nonsense mutation in the LGR4 gene is associated with several human diseases and other traits.无意义突变在 LGR4 基因中与几种人类疾病和其他特征有关。
Nature. 2013 May 23;497(7450):517-20. doi: 10.1038/nature12124. Epub 2013 May 5.
2
Genetic determinants of trabecular and cortical volumetric bone mineral densities and bone microstructure.骨小梁和皮质骨体积骨密度及骨微结构的遗传决定因素。
PLoS Genet. 2013;9(2):e1003247. doi: 10.1371/journal.pgen.1003247. Epub 2013 Feb 21.
3
The Generation R Study: design and cohort update 2012.
基因增强型双能X线吸收法骨密度预测模型在不同种族和地理人群中的性能差异:一项风险预测研究。
PLoS Med. 2024 Aug 30;21(8):e1004451. doi: 10.1371/journal.pmed.1004451. eCollection 2024 Aug.
4
Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy.对涉及先天性和结构性心脏疾病以及心肌病的基因进行广泛鉴定。
Nat Cardiovasc Res. 2022 Feb;1(2):157-173. doi: 10.1038/s44161-022-00018-8. Epub 2022 Feb 17.
5
Genomic structural variations link multiple genes to bone mineral density in a multi-ethnic cohort study: Louisiana osteoporosis study.在一项多民族队列研究中,基因组结构变异将多个基因与骨密度联系起来:路易斯安那州骨质疏松症研究。
J Bone Miner Res. 2024 Sep 26;39(10):1474-1485. doi: 10.1093/jbmr/zjae133.
6
Genetic Evaluation for Monogenic Disorders of Low Bone Mass and Increased Bone Fragility: What Clinicians Need to Know.单基因低骨量和骨脆性增加疾病的遗传评估:临床医生需要了解的内容。
Curr Osteoporos Rep. 2024 Jun;22(3):308-317. doi: 10.1007/s11914-024-00870-6. Epub 2024 Apr 11.
7
Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures.大规模循环蛋白质组关联研究(CPAS)荟萃分析确定了预测髋部骨折发生的循环蛋白和途径。
J Bone Miner Res. 2024 Mar 22;39(2):139-149. doi: 10.1093/jbmr/zjad011.
8
Revealing chronic disease progression patterns using Gaussian process for stage inference.利用高斯过程进行阶段推断揭示慢性病进展模式。
J Am Med Inform Assoc. 2024 Jan 18;31(2):396-405. doi: 10.1093/jamia/ocad230.
9
Zebrafish as a Model for Osteoporosis: Functional Validations of Genome-Wide Association Studies.斑马鱼作为骨质疏松症模型:全基因组关联研究的功能验证。
Curr Osteoporos Rep. 2023 Dec;21(6):650-659. doi: 10.1007/s11914-023-00831-5. Epub 2023 Nov 16.
10
Identification of an intronic enhancer regulating RANKL expression in osteocytic cells.鉴定调控骨细胞中RANKL表达的内含子增强子。
Bone Res. 2023 Aug 11;11(1):43. doi: 10.1038/s41413-023-00277-6.
《生育队列研究:设计与 2012 年队列更新》
Eur J Epidemiol. 2012 Sep;27(9):739-56. doi: 10.1007/s10654-012-9735-1. Epub 2012 Oct 20.
4
Meta-analysis of genome-wide studies identifies WNT16 and ESR1 SNPs associated with bone mineral density in premenopausal women.基于全基因组的关联分析鉴定出与绝经前女性骨密度相关的 WNT16 和 ESR1 单核苷酸多态性。
J Bone Miner Res. 2013 Mar;28(3):547-58. doi: 10.1002/jbmr.1796.
5
Annotation of functional variation in personal genomes using RegulomeDB.利用 RegulomeDB 注释个人基因组中的功能变异。
Genome Res. 2012 Sep;22(9):1790-7. doi: 10.1101/gr.137323.112.
6
Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood.使用单核苷酸多态性衍生的基因组关系和限制最大似然估计复杂疾病之间的多效性。
Bioinformatics. 2012 Oct 1;28(19):2540-2. doi: 10.1093/bioinformatics/bts474. Epub 2012 Jul 26.
7
Meta-analysis of genome-wide scans for total body BMD in children and adults reveals allelic heterogeneity and age-specific effects at the WNT16 locus.对儿童和成人全身体骨密度的全基因组扫描进行荟萃分析,揭示了 WNT16 基因座的等位基因异质性和年龄特异性效应。
PLoS Genet. 2012 Jul;8(7):e1002718. doi: 10.1371/journal.pgen.1002718. Epub 2012 Jul 5.
8
Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.队列特征描述:“90 后的孩子们”——雅芳纵向父母与子女研究的索引后代。
Int J Epidemiol. 2013 Feb;42(1):111-27. doi: 10.1093/ije/dys064. Epub 2012 Apr 16.
9
Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture.全基因组荟萃分析确定了 56 个骨密度位点,并发现了 14 个与骨折风险相关的位点。
Nat Genet. 2012 Apr 15;44(5):491-501. doi: 10.1038/ng.2249.
10
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.RSEM:有或无参考基因组的 RNA-Seq 数据的准确转录本定量。
BMC Bioinformatics. 2011 Aug 4;12:323. doi: 10.1186/1471-2105-12-323.