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全基因组单核苷酸多态性微阵列分析在评估淋巴组织增生性疾病时与经典细胞遗传学分析相辅相成。

Whole-genome single nucleotide polymorphism array analysis is complementary to classical cytogenetic analysis in the evaluation of lymphoid proliferations.

机构信息

UPMC Presbyterian Hospital, Room G-314, 200 Lothrop St, Pittsburgh, PA 15213; e-mail:

出版信息

Am J Clin Pathol. 2014 Feb;141(2):247-55. doi: 10.1309/AJCPRHGHT28DUWLA.

Abstract

OBJECTIVES

To explore how much additional information single nucleotide polymorphism (SNP) arrays provide and whether they could partially replace classical cytogenetics.

METHODS

Twenty-six lymphoid proliferations with available cytogenetic studies were analyzed with the Affymetrix Genome-Wide Human SNP Array 6.0 (Affymetrix, Santa Clara, CA).

RESULTS

Eleven of 26 cases demonstrated complete concordance between cytogenetics and SNP analysis, and 10 of 26 cases demonstrated partial concordance. Five discordant cases had copy number abnormalities (CNAs) with cytogenetics not identified with SNP arrays. While SNP analysis showed CNAs not apparent by cytogenetics in eight cases and helped clarify the karyotype in six cases, cytogenetics demonstrated CNAs not seen by SNP analysis in 15 cases as well as balanced translocations in 12 cases.

CONCLUSIONS

The combination of cytogenetics and SNP analysis results in a higher overall yield in identifying numerical chromosomal abnormalities than either technique alone.

摘要

目的

探讨单核苷酸多态性 (SNP) 芯片提供了多少额外信息,以及它们是否可以部分替代经典细胞遗传学。

方法

用 Affymetrix Genome-Wide Human SNP Array 6.0(Affymetrix,圣克拉拉,CA)分析了 26 例具有可用细胞遗传学研究的淋巴增生。

结果

26 例中有 11 例完全符合细胞遗传学和 SNP 分析,26 例中有 10 例部分符合。5 例不一致的病例存在细胞遗传学未识别的拷贝数异常 (CNA)。虽然 SNP 分析显示了细胞遗传学未显示的 CNA 在 8 例中,并帮助澄清了 6 例的核型,但细胞遗传学在 15 例中显示了 SNP 分析未显示的 CNA,在 12 例中显示了平衡易位。

结论

与单独使用任何一种技术相比,细胞遗传学和 SNP 分析的组合在识别数量染色体异常方面的总体产率更高。

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