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Using “-omics” Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field
Author(s) -
Abdullah Abood,
Charles R. Farber
Publication year - 2021
Publication title -
current osteoporosis reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.472
H-Index - 57
eISSN - 1544-2241
pISSN - 1544-1873
DOI - 10.1007/s11914-021-00684-w
Subject(s) - genome wide association study , data science , association (psychology) , osteoporosis , computational biology , medicine , computer science , biology , psychology , genetics , single nucleotide polymorphism , pathology , genotype , gene , psychotherapist
Osteoporosis constitutes a major societal health problem. Genome-wide association studies (GWASs) have identified over 1100 loci influencing bone mineral density (BMD); however, few of the causal genes have been identified. Here, we review approaches that use "-omics" data and genetic- and systems genetics-based analytical strategies to facilitate causal gene discovery.

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