Literature DB >> 33658983

Opportunities and Challenges in Functional Genomics Research in Osteoporosis: Report From a Workshop Held by the Causes Working Group of the Osteoporosis and Bone Research Academy of the Royal Osteoporosis Society on October 5th 2020.

Jonathan H Tobias1,2, Emma L Duncan3, Erika Kague4, Chrissy L Hammond4, Celia L Gregson1,2, Duncan Bassett5, Graham R Williams5, Josine L Min2, Tom R Gaunt2, David Karasik6, Claes Ohlsson7, Fernando Rivadeneira8, James R Edwards9, Fadil M Hannan10, John P Kemp2,11, Sophie J Gilbert12, Nerea Alonso13, Neelam Hassan1, Juliet E Compston14, Stuart H Ralston13.   

Abstract

The discovery that sclerostin is the defective protein underlying the rare heritable bone mass disorder, sclerosteosis, ultimately led to development of anti-sclerostin antibodies as a new treatment for osteoporosis. In the era of large scale GWAS, many additional genetic signals associated with bone mass and related traits have since been reported. However, how best to interrogate these signals in order to identify the underlying gene responsible for these genetic associations, a prerequisite for identifying drug targets for further treatments, remains a challenge. The resources available for supporting functional genomics research continues to expand, exemplified by "multi-omics" database resources, with improved availability of datasets derived from bone tissues. These databases provide information about potential molecular mediators such as mRNA expression, protein expression, and DNA methylation levels, which can be interrogated to map genetic signals to specific genes based on identification of causal pathways between the genetic signal and the phenotype being studied. Functional evaluation of potential causative genes has been facilitated by characterization of the "osteocyte signature", by broad phenotyping of knockout mice with deletions of over 7,000 genes, in which more detailed skeletal phenotyping is currently being undertaken, and by development of zebrafish as a highly efficient additional in vivo model for functional studies of the skeleton. Looking to the future, this expanding repertoire of tools offers the hope of accurately defining the major genetic signals which contribute to osteoporosis. This may in turn lead to the identification of additional therapeutic targets, and ultimately new treatments for osteoporosis.
Copyright © 2021 Tobias, Duncan, Kague, Hammond, Gregson, Bassett, Williams, Min, Gaunt, Karasik, Ohlsson, Rivadeneira, Edwards, Hannan, Kemp, Gilbert, Alonso, Hassan, Compston and Ralston.

Entities:  

Keywords:  bone mineral density; genome-wide association study; mouse model; zebrafish; “omics” data

Mesh:

Year:  2021        PMID: 33658983      PMCID: PMC7917291          DOI: 10.3389/fendo.2020.630875

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


  77 in total

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Authors:  B D Gelb; G P Shi; H A Chapman; R J Desnick
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Authors:  Nicole M Warrington; John P Kemp; Kate Tilling; Jonathan H Tobias; David M Evans
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4.  Slc20a2, Encoding the Phosphate Transporter PiT2, Is an Important Genetic Determinant of Bone Quality and Strength.

Authors:  Sarah Beck-Cormier; Christopher J Lelliott; John G Logan; David T Lafont; Laure Merametdjian; Victoria D Leitch; Natalie C Butterfield; Hayley J Protheroe; Peter I Croucher; Paul A Baldock; Alina Gaultier-Lintia; Yves Maugars; Gael Nicolas; Christopher Banse; Sébastien Normant; Nicolas Magne; Emmanuel Gérardin; Nina Bon; Sophie Sourice; Jérôme Guicheux; Laurent Beck; Graham R Williams; J H Duncan Bassett
Journal:  J Bone Miner Res       Date:  2019-03-19       Impact factor: 6.741

5.  A Rare Mutation in SMAD9 Associated With High Bone Mass Identifies the SMAD-Dependent BMP Signaling Pathway as a Potential Anabolic Target for Osteoporosis.

Authors:  Celia L Gregson; Dylan J M Bergen; Paul Leo; Richard B Sessions; Lawrie Wheeler; April Hartley; Scott Youlten; Peter I Croucher; Aideen M McInerney-Leo; William Fraser; Jonathan Cy Tang; Lisa Anderson; Mhairi Marshall; Leon Sergot; Lavinia Paternoster; George Davey Smith; Matthew A Brown; Chrissy Hammond; John P Kemp; Jon H Tobias; Emma L Duncan
Journal:  J Bone Miner Res       Date:  2019-11-14       Impact factor: 6.390

6.  Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures.

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Journal:  J Bone Miner Res       Date:  2019-08-02       Impact factor: 6.741

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

Authors:  Hou-Feng Zheng; Vincenzo Forgetta; Yi-Hsiang Hsu; Karol Estrada; Alberto Rosello-Diez; Paul J Leo; Chitra L Dahia; Kyung Hyun Park-Min; Jonathan H Tobias; Charles Kooperberg; Aaron Kleinman; Unnur Styrkarsdottir; Ching-Ti Liu; Charlotta Uggla; Daniel S Evans; Carrie M Nielson; Klaudia Walter; Ulrika Pettersson-Kymmer; Shane McCarthy; Joel Eriksson; Tony Kwan; Mila Jhamai; Katerina Trajanoska; Yasin Memari; Josine Min; Jie Huang; Petr Danecek; Beth Wilmot; Rui Li; Wen-Chi Chou; Lauren E Mokry; Alireza Moayyeri; Melina Claussnitzer; Chia-Ho Cheng; Warren Cheung; Carolina Medina-Gómez; Bing Ge; Shu-Huang Chen; Kwangbom Choi; Ling Oei; James Fraser; Robert Kraaij; Matthew A Hibbs; Celia L Gregson; Denis Paquette; Albert Hofman; Carl Wibom; Gregory J Tranah; Mhairi Marshall; Brooke B Gardiner; Katie Cremin; Paul Auer; Li Hsu; Sue Ring; Joyce Y Tung; Gudmar Thorleifsson; Anke W Enneman; Natasja M van Schoor; Lisette C P G M de Groot; Nathalie van der Velde; Beatrice Melin; John P Kemp; Claus Christiansen; Adrian Sayers; Yanhua Zhou; Sophie Calderari; Jeroen van Rooij; Chris Carlson; Ulrike Peters; Soizik Berlivet; Josée Dostie; Andre G Uitterlinden; Stephen R Williams; Charles Farber; Daniel Grinberg; Andrea Z LaCroix; Jeff Haessler; Daniel I Chasman; Franco Giulianini; Lynda M Rose; Paul M Ridker; John A Eisman; Tuan V Nguyen; Jacqueline R Center; Xavier Nogues; Natalia Garcia-Giralt; Lenore L Launer; Vilmunder Gudnason; Dan Mellström; Liesbeth Vandenput; Najaf Amin; Cornelia M van Duijn; Magnus K Karlsson; Östen Ljunggren; Olle Svensson; Göran Hallmans; François Rousseau; Sylvie Giroux; Johanne Bussière; Pascal P Arp; Fjorda Koromani; Richard L Prince; Joshua R Lewis; Bente L Langdahl; A Pernille Hermann; Jens-Erik B Jensen; Stephen Kaptoge; Kay-Tee Khaw; Jonathan Reeve; Melissa M Formosa; Angela Xuereb-Anastasi; Kristina Åkesson; Fiona E McGuigan; Gaurav Garg; Jose M Olmos; Maria T Zarrabeitia; Jose A Riancho; Stuart H Ralston; Nerea Alonso; Xi Jiang; David Goltzman; Tomi Pastinen; Elin Grundberg; Dominique Gauguier; Eric S Orwoll; David Karasik; George Davey-Smith; Albert V Smith; Kristin Siggeirsdottir; Tamara B Harris; M Carola Zillikens; Joyce B J van Meurs; Unnur Thorsteinsdottir; Matthew T Maurano; Nicholas J Timpson; Nicole Soranzo; Richard Durbin; Scott G Wilson; Evangelia E Ntzani; Matthew A Brown; Kari Stefansson; David A Hinds; Tim Spector; L Adrienne Cupples; Claes Ohlsson; Celia M T Greenwood; Rebecca D Jackson; David W Rowe; Cynthia A Loomis; David M Evans; Cheryl L Ackert-Bicknell; Alexandra L Joyner; Emma L Duncan; Douglas P Kiel; Fernando Rivadeneira; J Brent Richards
Journal:  Nature       Date:  2015-09-14       Impact factor: 49.962

8.  FINEMAP: efficient variable selection using summary data from genome-wide association studies.

Authors:  Christian Benner; Chris C A Spencer; Aki S Havulinna; Veikko Salomaa; Samuli Ripatti; Matti Pirinen
Journal:  Bioinformatics       Date:  2016-01-14       Impact factor: 6.937

9.  Genetic predisposition to increased serum calcium, bone mineral density, and fracture risk in individuals with normal calcium levels: mendelian randomisation study.

Authors:  Agustin Cerani; Sirui Zhou; Vincenzo Forgetta; John A Morris; Katerina Trajanoska; Fernando Rivadeneira; Susanna C Larsson; Karl Michaëlsson; J Brent Richards
Journal:  BMJ       Date:  2019-08-01
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2.  Novel Nanohydroxyapatite (nHAp)-Based Scaffold Doped with Iron Oxide Nanoparticles (IO), Functionalized with Small Non-Coding RNA (miR-21/124) Modulates Expression of Runt-Related Transcriptional Factor 2 and Osteopontin, Promoting Regeneration of Osteoporotic Bone in Bilateral Cranial Defects in a Senescence-Accelerated Mouse Model (SAM/P6). PART 2.

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3.  CD137 Regulates Bone Loss via the p53 Wnt/β-Catenin Signaling Pathways in Aged Mice.

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Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-30       Impact factor: 6.055

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