Literature DB >> 30470485

Dissecting the Genetics of Osteoporosis using Systems Approaches.

Basel M Al-Barghouthi1, Charles R Farber2.   

Abstract

Osteoporosis is a condition characterized by low bone mineral density (BMD) and an increased risk of fracture. Traits contributing to osteoporotic fracture are highly heritable, indicating that a comprehensive understanding of bone requires a thorough understanding of the genetic basis of bone traits. Towards this goal, genome-wide association studies (GWASs) have identified over 500 loci associated with bone traits. However, few of the responsible genes have been identified, and little is known of how these genes work together to influence systems-level bone function. In this review, we describe how systems genetics approaches can be used to fill these knowledge gaps.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bayesian networks; bone mineral density; coexpression networks; genome-wide association study; osteoporosis; systems genetics

Mesh：

Year:  2018        PMID： 30470485      PMCID： PMC6309493          DOI： 10.1016/j.tig.2018.10.004

Source DB:  PubMed          Journal:  Trends Genet        ISSN： 0168-9525            Impact factor:   11.639


  92 in total

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3.  Genome-wide association study for femoral neck bone geometry.

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Journal:  J Bone Miner Res       Date:  2010-02       Impact factor: 6.741

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Authors:  Yu Gyoung Tak; Peggy J Farnham
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Authors:  Ting Hu; Karoliina Oksanen; Weidong Zhang; Ed Randell; Andrew Furey; Guang Sun; Guangju Zhai
Journal:  PLoS Comput Biol       Date:  2018-03-01       Impact factor: 4.475

6.  Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

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7.  Using Bayesian networks to discover relations between genes, environment, and disease.

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8.  Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations.

Authors:  Bram P Prins; Karoline B Kuchenbaecker; Yanchun Bao; Melissa Smart; Delilah Zabaneh; Ghazaleh Fatemifar; Jian'an Luan; Nick J Wareham; Robert A Scott; John R B Perry; Claudia Langenberg; Michaela Benzeval; Meena Kumari; Eleftheria Zeggini
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9.  Classification of osteoporosis by artificial neural network based on monarch butterfly optimisation algorithm.

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10.  Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis.

Authors:  John P Kemp; John A Morris; Carolina Medina-Gomez; Vincenzo Forgetta; Nicole M Warrington; Scott E Youlten; Jie Zheng; Celia L Gregson; Elin Grundberg; Katerina Trajanoska; John G Logan; Andrea S Pollard; Penny C Sparkes; Elena J Ghirardello; Rebecca Allen; Victoria D Leitch; Natalie C Butterfield; Davide Komla-Ebri; Anne-Tounsia Adoum; Katharine F Curry; Jacqueline K White; Fiona Kussy; Keelin M Greenlaw; Changjiang Xu; Nicholas C Harvey; Cyrus Cooper; David J Adams; Celia M T Greenwood; Matthew T Maurano; Stephen Kaptoge; Fernando Rivadeneira; Jonathan H Tobias; Peter I Croucher; Cheryl L Ackert-Bicknell; J H Duncan Bassett; Graham R Williams; J Brent Richards; David M Evans
Journal:  Nat Genet       Date:  2017-09-04       Impact factor: 38.330
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2.  Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.

Authors:  Qing Wu; Fatma Nasoz; Jongyun Jung; Bibek Bhattarai; Mira V Han
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3.  Prioritization of Osteoporosis-Associated Genome-wide Association Study (GWAS) Single-Nucleotide Polymorphisms (SNPs) Using Epigenomics and Transcriptomics.

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Review 4.  Epigenetic Regulation of Skeletal Tissue Integrity and Osteoporosis Development.

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5.  OsteoporosAtlas: a human osteoporosis-related gene database.

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Review 6.  The Progress of CRISPR/Cas9-Mediated Gene Editing in Generating Mouse/Zebrafish Models of Human Skeletal Diseases.

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

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8.  Systems genetics in diversity outbred mice inform BMD GWAS and identify determinants of bone strength.

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Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 17.694

9.  A trans-eQTL network regulates osteoclast multinucleation and bone mass.

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Review 10.  Mouse Genetic Reference Populations: Cellular Platforms for Integrative Systems Genetics.

Authors:  Emily Swanzey; Callan O'Connor; Laura G Reinholdt
Journal:  Trends Genet       Date:  2020-09-30       Impact factor: 11.639
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