Literature DB >> 18652562

A close examination of genes within quantitative trait loci of bone mineral density in whole mouse genome.

Qing Xiong1, Caili Han, Wesley G Beamer, Weikuan Gu.   

Abstract

Bone mineral density (BMD) is one of the strongest determinants of osteoporotic fracture risk. Over the last decade, a large number of quantitative trait loci (QTL) that regulate BMD have been identified using the mouse model. In an attempt to examine the relationship between those QTL and gene distribution in the mouse genome, we searched PubMed with keywords bone and QTL for every publication up to January 2007; we obtained a total of 75 QTL of BMD. We next obtained genes within a QTL for measurements of BMD from the Ensembl database. We then evaluated the potential connection of every gene with bone biology with Online Mendelian Inheritance in Man (OMIM) and PubMed by using eight key words: bone mineral density, BMD, bone strength, bone size, osteoporosis, osteoblast, osteoclast, and fracture. We obtained a total of 15,084 genes for 75 BMD QTL covering 1,211,376,097 base pairs of genomic sequence. Although this very large number of genes exists within QTL regions, only 291 were identified as candidate genes according to our bioinformatics search. Importantly, the association between polymorphism of many candidate genes and BMD has been reported in human studies. Thus, updated genome information and resources should provide new insight for gene identification of QTL. Accordingly, the comprehensive search of candidate genes in the genome for known QTL may provide unexpected benefits for QTL studies.

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Year:  2008        PMID: 18652562     DOI: 10.1615/critreveukargeneexpr.v18.i4.20

Source DB:  PubMed          Journal:  Crit Rev Eukaryot Gene Expr        ISSN: 1045-4403            Impact factor:   1.807


  6 in total

1.  Congenic mice provide in vivo evidence for a genetic locus that modulates intrinsic transforming growth factor β1-mediated signaling and bone acquisition.

Authors:  Aditi Mukherjee; Emily A Larson; Amy S Carlos; John K Belknap; Peter Rotwein; Robert F Klein
Journal:  J Bone Miner Res       Date:  2012-06       Impact factor: 6.741

2.  Heterogeneous stock rat: a unique animal model for mapping genes influencing bone fragility.

Authors:  Imranul Alam; Daniel L Koller; Qiwei Sun; Ryan K Roeder; Toni Cañete; Gloria Blázquez; Regina López-Aumatell; Esther Martínez-Membrives; Elia Vicens-Costa; Carme Mont; Sira Díaz; Adolf Tobeña; Alberto Fernández-Teruel; Adam Whitley; Pernilla Strid; Margarita Diez; Martina Johannesson; Jonathan Flint; Michael J Econs; Charles H Turner; Tatiana Foroud
Journal:  Bone       Date:  2011-02-18       Impact factor: 4.398

3.  High-density association study of 383 candidate genes for volumetric BMD at the femoral neck and lumbar spine among older men.

Authors:  Laura M Yerges; Lambertus Klei; Jane A Cauley; Kathryn Roeder; Candace M Kammerer; Susan P Moffett; Kristine E Ensrud; Cara S Nestlerode; Lynn M Marshall; Andrew R Hoffman; Cora Lewis; Thomas F Lang; Elizabeth Barrett-Connor; Robert E Ferrell; Eric S Orwoll; Joseph M Zmuda
Journal:  J Bone Miner Res       Date:  2009-12       Impact factor: 6.741

4.  Genetically determined phenotype covariation networks control bone strength.

Authors:  Karl J Jepsen; Hayden-William Courtland; Joseph H Nadeau
Journal:  J Bone Miner Res       Date:  2010-07       Impact factor: 6.741

5.  Liuwei Dihuang pill cures postmenopausal osteoporosis with kidney-Yin deficiency: Potential therapeutic targets identified based on gene expression profiling.

Authors:  Feng Xu; Feng Gao
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

6.  How genomics has informed our understanding of the pathogenesis of osteoporosis.

Authors:  Mark L Johnson; Nuria Lara; Mohamed A Kamel
Journal:  Genome Med       Date:  2009-09-07       Impact factor: 11.117

  6 in total

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