Literature DB >> 34230965

Integrative analysis of genomic and epigenomic data reveal underlying superenhancer-mediated microRNA regulatory network for human bone mineral density.

Wei-Yang Bai1,2,3,4, Jiang-Wei Xia2,3,4, Xiao-Li Rong5, Pei-Kuan Cong2,3,4, Saber Khederzadeh2,3,4, Hou-Feng Zheng1,2,3,4.   

Abstract

Bone mineral density (BMD) is a highly heritable complex trait and is a key indicator for diagnosis and treatment for osteoporosis. In the last decade, numerous susceptibility loci for BMD and fracture have been identified by genome-wide association studies (GWAS); however, fine mapping of these loci is challengeable. Here, we proposed a new long-range fine-mapping approach that combined superenhancers (SEs) and microRNAs (miRNAs) data, which were two important factors in control of cell identity and specific differentiation, with the GWAS summary datasets in cell-type-restricted way. Genome-wide SE-based analysis found that the BMD-related variants were significantly enriched in the osteoblast SE regions, indicative of potential long-range effects of such SNPs. With the SNP-mapped SEs (mSEs), 13 accessible long-range mSE-interacted miRNAs (mSE-miRNAs) were identified by integrating osteoblast Hi-C and ATAC-seq data, including three known bone-related miRNAs (miR-132-3p, miR-212-3p and miR-125b-5p). The putative targets of the two newly identified mSE-miRNAs (miR-548aj-3p and miR-190a-3p) were found largely enriched in osteogenic-related pathway and processes, suggesting that these mSE-miRNAs could be functional in the regulation of osteoblast differentiation. Furthermore, we identified 54 genes with the long-range 'mSE-miRNA' approach, and 24 of them were previously reported to be related to skeletal development. Besides, enrichment analysis found that these genes were specifically enriched in the post-transcriptional regulation and bone formation processes. This study provided a new insight into the approach of fine-mapping of GWAS loci. A tool was provided for the genome-wide SE-based analysis and the detection of long-range osteoblast-restricted mSE-miRNAs (https://github.com/Zheng-Lab-Westlake/Osteo-Fine-Mapp-SNP2SE2miRNA).
© The Author(s) 2021. Published by Oxford University Press.

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Year:  2021        PMID: 34230965      PMCID: PMC8561425          DOI: 10.1093/hmg/ddab181

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  70 in total

1.  Using the Wash U Epigenome Browser to examine genome-wide sequencing data.

Authors:  Xin Zhou; Ting Wang
Journal:  Curr Protoc Bioinformatics       Date:  2012-12

2.  A scored human protein-protein interaction network to catalyze genomic interpretation.

Authors:  Taibo Li; Rasmus Wernersson; Rasmus B Hansen; Heiko Horn; Johnathan Mercer; Greg Slodkowicz; Christopher T Workman; Olga Rigina; Kristoffer Rapacki; Hans H Stærfeldt; Søren Brunak; Thomas S Jensen; Kasper Lage
Journal:  Nat Methods       Date:  2016-11-28       Impact factor: 28.547

3.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

4.  miR-181a promotes osteoblastic differentiation through repression of TGF-β signaling molecules.

Authors:  Raghu Bhushan; Johannes Grünhagen; Jessica Becker; Peter N Robinson; Claus-Eric Ott; Petra Knaus
Journal:  Int J Biochem Cell Biol       Date:  2012-12-20       Impact factor: 5.085

5.  Interference of miR-212 and miR-384 promotes osteogenic differentiation via targeting RUNX2 in osteoporosis.

Authors:  Yun Zhang; Ying Jiang; Yong Luo; Yu Zeng
Journal:  Exp Mol Pathol       Date:  2019-12-28       Impact factor: 3.362

6.  Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects.

Authors:  Carolina Medina-Gomez; John P Kemp; Katerina Trajanoska; Jian'an Luan; Alessandra Chesi; Tarunveer S Ahluwalia; Dennis O Mook-Kanamori; Annelies Ham; Fernando P Hartwig; Daniel S Evans; Raimo Joro; Ivana Nedeljkovic; Hou-Feng Zheng; Kun Zhu; Mustafa Atalay; Ching-Ti Liu; Maria Nethander; Linda Broer; Gudmar Porleifsson; Benjamin H Mullin; Samuel K Handelman; Mike A Nalls; Leon E Jessen; Denise H M Heppe; J Brent Richards; Carol Wang; Bo Chawes; Katharina E Schraut; Najaf Amin; Nick Wareham; David Karasik; Nathalie Van der Velde; M Arfan Ikram; Babette S Zemel; Yanhua Zhou; Christian J Carlsson; Yongmei Liu; Fiona E McGuigan; Cindy G Boer; Klaus Bønnelykke; Stuart H Ralston; John A Robbins; John P Walsh; M Carola Zillikens; Claudia Langenberg; Ruifang Li-Gao; Frances M K Williams; Tamara B Harris; Kristina Akesson; Rebecca D Jackson; Gunnar Sigurdsson; Martin den Heijer; Bram C J van der Eerden; Jeroen van de Peppel; Timothy D Spector; Craig Pennell; Bernardo L Horta; Janine F Felix; Jing Hua Zhao; Scott G Wilson; Renée de Mutsert; Hans Bisgaard; Unnur Styrkársdóttir; Vincent W Jaddoe; Eric Orwoll; Timo A Lakka; Robert Scott; Struan F A Grant; Mattias Lorentzon; Cornelia M van Duijn; James F Wilson; Kari Stefansson; Bruce M Psaty; Douglas P Kiel; Claes Ohlsson; Evangelia Ntzani; Andre J van Wijnen; Vincenzo Forgetta; Mohsen Ghanbari; John G Logan; Graham R Williams; J H Duncan Bassett; Peter I Croucher; Evangelos Evangelou; Andre G Uitterlinden; Cheryl L Ackert-Bicknell; Jonathan H Tobias; David M Evans; Fernando Rivadeneira
Journal:  Am J Hum Genet       Date:  2018-01-04       Impact factor: 11.025

7.  The GRID: the General Repository for Interaction Datasets.

Authors:  Bobby-Joe Breitkreutz; Chris Stark; Mike Tyers
Journal:  Genome Biol       Date:  2003-02-27       Impact factor: 13.583

8.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

9.  Genome-scale Capture C promoter interactions implicate effector genes at GWAS loci for bone mineral density.

Authors:  Alessandra Chesi; Yadav Wagley; Matthew E Johnson; Elisabetta Manduchi; Chun Su; Sumei Lu; Michelle E Leonard; Kenyaita M Hodge; James A Pippin; Kurt D Hankenson; Andrew D Wells; Struan F A Grant
Journal:  Nat Commun       Date:  2019-03-19       Impact factor: 14.919

10.  GLOSSI: a method to assess the association of genetic loci-sets with complex diseases.

Authors:  High-Seng Chai; Hugues Sicotte; Kent R Bailey; Stephen T Turner; Yan W Asmann; Jean-Pierre A Kocher
Journal:  BMC Bioinformatics       Date:  2009-04-03       Impact factor: 3.169

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