Prediction of osteoporosis candidate genes by computational disease-gene identification strategy (Q81234515)

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7 January 2020

title

Prediction of osteoporosis candidate genes by computational disease-gene identification strategy (English)

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7 January 2020

2

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7 January 2020

author name string

Qing-Yang Huang

1

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7 January 2020

William M W Cheung

3

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7 January 2020

You-Qiang Song

4

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7 January 2020

Annie W C Kung

5

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publication date

9 May 2008

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Journal of Human Genetics

7 January 2020

published in

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7 January 2020

volume

53

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7 January 2020

issue

7

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7 January 2020

page(s)

644-655

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https://scigraph.springernature.com/pub.10.1007/s10038-008-0295-x

7 January 2020

exact match

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Genomic regions identified for BMD in a large sample including epistatic interactions and gender-specific effects

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Large-scale genome-wide linkage analysis for loci linked to BMD at different skeletal sites in extreme selected sibships.

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Alleles of RUNX2/CBFA1 gene are associated with differences in bone mineral density and risk of fracture

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Functional knockout of the matrilin-3 gene causes premature chondrocyte maturation to hypertrophy and increases bone mineral density and osteoarthritis

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An application of bioinformatics and text mining to the discovery of novel genes related to bone biology

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Functional analysis of the single nucleotide polymorphism (787T>C) in the tissue-nonspecific alkaline phosphatase gene associated with BMD.

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Mutations in the region encoding the von Willebrand factor A domain of matrilin-3 are associated with multiple epiphyseal dysplasia.

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

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12 December 2020

10.1007/S10038-008-0295-X

Identifiers

DOI

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7 January 2020

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