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利用家系研究鉴定骨质疏松症基因。

Identification of osteoporosis genes using family studies.

机构信息

Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.

Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta.

出版信息

Front Endocrinol (Lausanne). 2024 Oct 22;15:1455689. doi: 10.3389/fendo.2024.1455689. eCollection 2024.

DOI:10.3389/fendo.2024.1455689
PMID:39502568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11534825/
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 and assessment. Therefore, analyses of families can continue to elucidate the genetic architecture of osteoporosis, paving the way for improved diagnostic and therapeutic strategies.

摘要

骨质疏松症是一种多因素的骨骼疾病,其特征是骨量减少和骨折风险增加。家族研究在揭示骨质疏松症的遗传基础方面做出了重大贡献。然而,大多数潜在的分子和生物学机制仍然未知,这促使我们需要进一步研究。

本综述概述了在基于家族的环境中,用于识别单基因骨质疏松症遗传因素的适当表型和先进的遗传技术,包括高通量 DNA 测序。还描述了与变体过滤优先级排序和策展相关的步骤。

从进化的角度来看,具有高外显率的有害风险变体由于负选择而趋于罕见。高通量测序 (HTS) 可以识别具有大效应大小的罕见变体,这些变体很可能被候选基因分析或全基因组关联研究 (GWAS) 遗漏,后者只能识别具有小到中等效应大小的常见变体。我们还描述了复制 HTS 后确定的基因和/或变体的重要性,以确认它们的因果关系。在其他家庭、单倍体或独立队列中复制该基因,可确认所筛选的基因和/或变体确实具有因果关系。此外,单基因骨质疏松症中涉及的新基因和/或变体需要通过 和 评估进行彻底验证。

因此,对家庭的分析可以继续阐明骨质疏松症的遗传结构,为改进诊断和治疗策略铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/11534825/3d23afb174f7/fendo-15-1455689-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/11534825/62f0bd0bd0a2/fendo-15-1455689-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/11534825/3d23afb174f7/fendo-15-1455689-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/11534825/62f0bd0bd0a2/fendo-15-1455689-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4904/11534825/3d23afb174f7/fendo-15-1455689-g002.jpg

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