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雄激素性脱发的多基因贡献证据。

Evidence for a polygenic contribution to androgenetic alopecia.

机构信息

Institute of Human Genetics, University of Bonn, Bonn, Germany; Department of Genomics, Life and Brain Centre, University of Bonn, Bonn, Germany.

出版信息

Br J Dermatol. 2013 Oct;169(4):927-30. doi: 10.1111/bjd.12443.

Abstract

BACKGROUND

Male pattern baldness (androgenetic alopecia, AGA) is a highly heritable trait and the most common form of hair loss in humans. Eight genome-wide significant risk loci for AGA have been identified.

OBJECTIVES

To determine whether a polygenic component contributes to the genetic risk for AGA.

METHODS

This study used a German case-control sample for AGA, which comprised 581 severely affected patients and 617 controls, to determine the contribution of polygenic variance to AGA risk. The sample was divided evenly into discovery and test samples. An additive polygenic risk score was calculated from risk alleles with increasingly liberal P-values in the discovery dataset, which was then used to test for the enrichment of AGA risk score alleles in the independent test samples.

RESULTS

The polygenic score analysis provided significant evidence for a polygenic contribution to AGA where the amount of variance explained was 1·4-4·5%.

CONCLUSION

This study provides evidence for the specific contribution of a polygenic component to the overall heritable risk for AGA. To some degree, the polygenic architecture of AGA might reflect the complexity of the biological pathways involved. Further analyses and strategies that complement conventional genome-wide association studies are needed to identify these factors. These may include pathway-based analyses, the analysis of functional candidate genes and tests for epistatic effects with known loci.

摘要

背景

男性型秃发(雄性激素性脱发,AGA)是一种高度遗传的特征,也是人类最常见的脱发形式。已经确定了 8 个与 AGA 相关的全基因组显著风险位点。

目的

确定多基因成分是否对 AGA 的遗传风险有贡献。

方法

本研究使用了一个德国 AGA 的病例对照样本,其中包括 581 名严重脱发患者和 617 名对照者,以确定多基因变异对 AGA 风险的贡献。该样本被平均分为发现和测试样本。从发现数据集中具有越来越宽松 P 值的风险等位基因计算出一个加性多基因风险评分,然后使用该评分来测试独立测试样本中 AGA 风险评分等位基因的富集情况。

结果

多基因评分分析为 AGA 提供了多基因贡献的显著证据,其中解释的方差量为 1.4-4.5%。

结论

本研究为多基因成分对 AGA 总体遗传风险的特定贡献提供了证据。在某种程度上,AGA 的多基因结构可能反映了所涉及的生物学途径的复杂性。需要进一步的分析和策略来补充传统的全基因组关联研究,以识别这些因素。这些可能包括基于途径的分析、功能候选基因的分析以及对已知位点的上位性效应的检验。

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