Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms-Reference-Cited by-同舟云学术

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Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms

Published:2020-02 Issue:2 Volume:23 Page:100847
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Qiu Chuan,Yu Fangtang,Su Kuanjui,Zhao Qi,Zhang Lan,Xu Chao,Hu Wenxing,Wang Zun,Zhao Lanjuan,Tian Qing,Wang Yuping,Deng Hongwen,Shen Hui

Funder

National Institutes of Health, United States

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference89 articles.

1. Linkage disequilibrium between polymorphisms in the human TNFRSF1B gene and their association with bone mass in perimenopausal women;Albagha;Hum. Mol. Genet.,2002

2. The role of regulatory variation in complex traits and disease;Albert;Nat. Rev. Genet.,2015

3. Enhanced mitochondrial biogenesis contributes to Wnt induced osteoblastic differentiation of C3H10T1/2 cells;An;Bone,2010

4. Mitofusin-2 determines mitochondrial network architecture and mitochondrial metabolism. A novel regulatory mechanism altered in obesity;Bach;J. Biol. Chem.,2003

5. Identification of secondary targets of N-containing bisphosphonates in mammalian cells via parallel competition analysis of the barcoded yeast deletion collection;Bivi;Genome Biol.,2009

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