Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/139119
Title: Identification of osteoporosis genes using family studies
Authors: Schembri, Marichela
Formosa, Melissa M.
Keywords: Osteoporosis -- Genetic aspects
Bones -- Metabolism -- Disorders
Genomics
Medical genetics
Genetic epidemiology
Phenotype
Issue Date: 2024
Publisher: Frontiers Research Foundation
Citation: Schembri, M., & Formosa, M. M. (2024). Identification of osteoporosis genes using family studies. Frontiers in endocrinology, 15, 1455689.
Abstract: Osteoporosis is a multifactorial bone disease characterised by reduced bone mass and increased fracture risk. Family studies have made significant contribution in unravelling the genetics of osteoporosis. Yet, most of the underlying molecular and biological mechanisms remain unknown prompting the need for further studies. This review outlines the proper phenotyping and advanced genetic techniques in the form of high-throughput DNA sequencing used to identify genetic factors underlying monogenic osteoporosis in a family-based setting. The steps related to variant filtering prioritisation and curation are also described. From an evolutionary perspective, deleterious risk variants with higher penetrance tend to be rare as a result of negative selection. High-throughput sequencing (HTS) can identify rare variants with large effect sizes which are likely to be missed by candidate gene analysis or genome-wide association studies (GWAS) wherein common variants with small to moderate effect sizes are identified. We also describe the importance of replicating implicated genes, and possibly variants, identified following HTS to confirm their causality. Replication of the gene in other families, singletons or independent cohorts confirms that the shortlisted genes and/or variants are indeed causal. Furthermore, novel genes and/or variants implicated in monogenic osteoporosis require a thorough validation by means of in vitro and in vivo assessment. Therefore, analyses of families can continue to elucidate the genetic architecture of osteoporosis, paving the way for improved diagnostic and therapeutic strategies.
URI: https://www.um.edu.mt/library/oar/handle/123456789/139119
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