Duo-Shared基因组片段分析确定了骨髓瘤谱系中18q21.33的全基因组显著风险位点。

Rosalie Griffin Waller, Michael J Madsen, John Gardner, Douglas W Sborov, Nicola J Camp
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引用次数: 0

摘要

目的:高风险家系(HRPs)是绘制高渗透风险基因的有力设计。我们之前描述了共享基因组片段(SGS)分析,这是一种针对单个大型扩展谱系的作图方法,也解决了复杂疾病固有的遗传异质性。SGS识别了共享的分离染色体区域,这些区域可能只在一小部分病例中遗传。然而,单独强大的大型谱系(研究病例之间至少有15个减数分裂)很少。在这里,我们扩展了SGS策略,通过在两个谱系中识别相同的分离风险基因座,并允许每个HRP的大小有所放宽,将两个扩展的HRP的证据合并在一起。方法:Duo-SGS是一种合并单谱系SGS证据的程序。它实现了统计上严格的双谱系阈值,以确定全基因组显著性水平,从而解释谱系对之间的优化。单谱系SGS确定了基因组中每个基因座的病例亚群共享的最佳片段,并根据经验评估了标称显著性。Duo-SGS使用Fisher方法结合了两个谱系中相同基因组位置的SGS片段的统计证据。一个谱系与所有其他谱系配对,并在整个基因组的每个基因座建立最佳的双SGS证据。全基因组显著性阈值是通过分布拟合和大偏差理论确定的。我们将duoSGS策略应用于11个扩展的骨髓瘤HRP。结果:我们在18q21.33(0.85Mb,P=7.3×10-9)处鉴定出一个全基因组显著区域,该区域包含一个基因CDH20。13个区域是全基因组提示的:1q42.2、2p16.1、3p25.2、5q21.3、5qc31.1、6q16.1、6q26、7q11.23、12q24.31、13q13.3、18p11.22、18q22.3和19p13.12。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees.

Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees.

Duo Shared Genomic Segment analysis identifies a genome-wide significant risk locus at 18q21.33 in myeloma pedigrees.

Aim: High-risk pedigrees (HRPs) are a powerful design to map highly penetrant risk genes. We previously described Shared Genomic Segment (SGS) analysis, a mapping method for single large extended pedigrees that also addresses genetic heterogeneity inherent in complex diseases. SGS identifies shared segregating chromosomal regions that may inherit in only a subset of cases. However, single large pedigrees that are individually powerful (at least 15 meioses between studied cases) are scarce. Here, we expand the SGS strategy to incorporate evidence from two extended HRPs by identifying the same segregating risk locus in both pedigrees and allowing for some relaxation in the size of each HRP.

Methods: Duo-SGS is a procedure to combine single-pedigree SGS evidence. It implements statistically rigorous duo-pedigree thresholding to determine genome-wide significance levels that account for optimization across pedigree pairs. Single-pedigree SGS identifies optimal segments shared by case subsets at each locus across the genome, with nominal significance assessed empirically. Duo-SGS combines the statistical evidence for SGS segments at the same genomic location in two pedigrees using Fisher's method. One pedigree is paired with all others and the best duo-SGS evidence at each locus across the genome is established. Genome-wide significance thresholds are determined through distribution-fitting and the Theory of Large Deviations. We applied the duoSGS strategy to eleven extended, myeloma HRPs.

Results: We identified one genome-wide significant region at 18q21.33 (0.85 Mb, P = 7.3 × 10-9) which contains one gene, CDH20. Thirteen regions were genome-wide suggestive: 1q42.2, 2p16.1, 3p25.2, 5q21.3, 5q31.1, 6q16.1, 6q26, 7q11.23, 12q24.31, 13q13.3, 18p11.22, 18q22.3 and 19p13.12.

Conclusion: Our results provide novel risk loci with segregating evidence from multiple HRPs and offer compelling targets and specific segment carriers to focus a future search for functional variants involved in inherited risk formyeloma.

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