Literature DB >> 23951485

The need for mouse models in osteoporosis genetics research.

Cheryl L Ackert-Bicknell1, Matthew A Hibbs.   

Abstract

Osteoporosis, the progressive loss of bone mass resulting in fragility fractures, affects ∼75 million people in the United States, Europe and Japan. Bone mineral density (BMD) correlates with fracture risk and is widely used in clinical settings to predict fracture. Numerous studies have demonstrated that peak bone mass is highly heritable and consequently a number of genome-wide association studies (GWASs) have been conducted to identify the genes that regulate BMD. Traditional intercross mapping in the mouse has met with limited successes in the field of skeletal biology. With the advent of human GWAS, questions have arisen about the continued need for mouse models in genetics research. However, significant advances have been made in the field of mouse genetics, including new genetics resource populations and loci mapping techniques, which enable gene-level mapping resolution. In this review, we discuss the need for mouse models to help understand the skeletal biology underlying novel human GWAS findings, how loci discovered in the mouse can be used to complement GWAS analysis and highlight the recent advances made in the field of skeletal biology from the use of these new and developing resources. We conclude this paper with a discussion of the need for systems-level approaches in the skeletal biology field, with an emphasis on the need for pathway and network analyses.

Entities:  

Year:  2012        PMID: 23951485      PMCID: PMC3727715          DOI: 10.1038/bonekey.2012.98

Source DB:  PubMed          Journal:  Bonekey Rep        ISSN: 2047-6396


  52 in total

Review 1.  Review of statistical methods for QTL mapping in experimental crosses.

Authors:  K W Broman
Journal:  Lab Anim (NY)       Date:  2001 Jul-Aug       Impact factor: 12.625

2.  Genome-wide genetic association of complex traits in heterogeneous stock mice.

Authors:  William Valdar; Leah C Solberg; Dominique Gauguier; Stephanie Burnett; Paul Klenerman; William O Cookson; Martin S Taylor; J Nicholas P Rawlins; Richard Mott; Jonathan Flint
Journal:  Nat Genet       Date:  2006-07-09       Impact factor: 38.330

Review 3.  Mouse genetic and phenotypic resources for human genetics.

Authors:  Paul N Schofield; Robert Hoehndorf; Georgios V Gkoutos
Journal:  Hum Mutat       Date:  2012-05       Impact factor: 4.878

4.  Secreted frizzled-related protein 4 is a negative regulator of peak BMD in SAMP6 mice.

Authors:  Rika Nakanishi; Motoyuki Shimizu; Masayuki Mori; Haruhiko Akiyama; Shuzo Okudaira; Bungo Otsuki; Maiko Hashimoto; Keiichi Higuchi; Masanori Hosokawa; Tadao Tsuboyama; Takashi Nakamura
Journal:  J Bone Miner Res       Date:  2006-11       Impact factor: 6.741

Review 5.  Human genetic variation and its contribution to complex traits.

Authors:  Kelly A Frazer; Sarah S Murray; Nicholas J Schork; Eric J Topol
Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

6.  A high-resolution association mapping panel for the dissection of complex traits in mice.

Authors:  Brian J Bennett; Charles R Farber; Luz Orozco; Hyun Min Kang; Anatole Ghazalpour; Nathan Siemers; Michael Neubauer; Isaac Neuhaus; Roumyana Yordanova; Bo Guan; Amy Truong; Wen-pin Yang; Aiqing He; Paul Kayne; Peter Gargalovic; Todd Kirchgessner; Calvin Pan; Lawrence W Castellani; Emrah Kostem; Nicholas Furlotte; Thomas A Drake; Eleazar Eskin; Aldons J Lusis
Journal:  Genome Res       Date:  2010-01-06       Impact factor: 9.043

7.  Functional genomics complements quantitative genetics in identifying disease-gene associations.

Authors:  Yuanfang Guan; Cheryl L Ackert-Bicknell; Braden Kell; Olga G Troyanskaya; Matthew A Hibbs
Journal:  PLoS Comput Biol       Date:  2010-11-11       Impact factor: 4.475

8.  PPARG by dietary fat interaction influences bone mass in mice and humans.

Authors:  Cheryl L Ackert-Bicknell; Serkalem Demissie; Caralina Marín de Evsikova; Yi-Hsiang Hsu; Victoria E DeMambro; David Karasik; L Adrienne Cupples; Jose M Ordovas; Katherine L Tucker; Kelly Cho; Ernesto Canalis; Beverly Paigen; Gary A Churchill; Jiri Forejt; Wesley G Beamer; Serge Ferrari; Mary L Bouxsein; Douglas P Kiel; Clifford J Rosen
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

Review 9.  When orthologs diverge between human and mouse.

Authors:  Walid H Gharib; Marc Robinson-Rechavi
Journal:  Brief Bioinform       Date:  2011-06-15       Impact factor: 11.622

10.  A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

Authors:  Lourdes Peña-Castillo; Murat Tasan; Chad L Myers; Hyunju Lee; Trupti Joshi; Chao Zhang; Yuanfang Guan; Michele Leone; Andrea Pagnani; Wan Kyu Kim; Chase Krumpelman; Weidong Tian; Guillaume Obozinski; Yanjun Qi; Sara Mostafavi; Guan Ning Lin; Gabriel F Berriz; Francis D Gibbons; Gert Lanckriet; Jian Qiu; Charles Grant; Zafer Barutcuoglu; David P Hill; David Warde-Farley; Chris Grouios; Debajyoti Ray; Judith A Blake; Minghua Deng; Michael I Jordan; William S Noble; Quaid Morris; Judith Klein-Seetharaman; Ziv Bar-Joseph; Ting Chen; Fengzhu Sun; Olga G Troyanskaya; Edward M Marcotte; Dong Xu; Timothy R Hughes; Frederick P Roth
Journal:  Genome Biol       Date:  2008-06-27       Impact factor: 13.583

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  2 in total

Review 1.  Genetic regulation of bone strength: a review of animal model studies.

Authors:  Douglas J Adams; Cheryl L Ackert-Bicknell
Journal:  Bonekey Rep       Date:  2015-07-08

Review 2.  The Progress of CRISPR/Cas9-Mediated Gene Editing in Generating Mouse/Zebrafish Models of Human Skeletal Diseases.

Authors:  Nan Wu; Bowen Liu; Huakang Du; Sen Zhao; Yaqi Li; Xi Cheng; Shengru Wang; Jiachen Lin; Junde Zhou; Guixing Qiu; Zhihong Wu; Jianguo Zhang
Journal:  Comput Struct Biotechnol J       Date:  2019-06-13       Impact factor: 7.271

  2 in total

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