Imperial College London

Professor Duncan Bassett

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Professor of Endocrinology
 
 
 
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Contact

 

+44 (0)20 3313 4613d.bassett Website

 
 
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Location

 

10N6 Commomwealth BuildingHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tobias:2021:10.3389/fendo.2020.630875,
author = {Tobias, JH and Duncan, EL and Kague, E and Hammond, CL and Gregson, CL and Bassett, D and Williams, GR and Min, JL and Gaunt, TR and Karasik, D and Ohlsson, C and Rivadeneira, F and Edwards, JR and Hannan, FM and Kemp, JP and Gilbert, SJ and Alonso, N and Hassan, N and Compston, JE and Ralston, SH},
doi = {10.3389/fendo.2020.630875},
journal = {Frontiers in Endocrinology},
pages = {1--11},
title = {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},
url = {http://dx.doi.org/10.3389/fendo.2020.630875},
volume = {11},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Tobias,JH
AU - Duncan,EL
AU - Kague,E
AU - Hammond,CL
AU - Gregson,CL
AU - Bassett,D
AU - Williams,GR
AU - Min,JL
AU - Gaunt,TR
AU - Karasik,D
AU - Ohlsson,C
AU - Rivadeneira,F
AU - Edwards,JR
AU - Hannan,FM
AU - Kemp,JP
AU - Gilbert,SJ
AU - Alonso,N
AU - Hassan,N
AU - Compston,JE
AU - Ralston,SH
DO - 10.3389/fendo.2020.630875
EP - 11
PY - 2021///
SN - 1664-2392
SP - 1
TI - 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
T2 - Frontiers in Endocrinology
UR - http://dx.doi.org/10.3389/fendo.2020.630875
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000623203300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.frontiersin.org/articles/10.3389/fendo.2020.630875/full
UR - http://hdl.handle.net/10044/1/87504
VL - 11
ER -