西北地区汉族人群血液学表型特征的全基因组关联研究。

Pharmacogenomics and Personalized Medicine Pub Date : 2022-08-03 eCollection Date: 2022-01-01 DOI:10.2147/PGPM.S361809
Wei Yang, Xue He, Yuying Yao, Hongyan Lu, Yuliang Wang, Zhanhao Zhang, Yuhe Wang, Li Wang, Yongjun He, Dongya Yuan, Tianbo Jin
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引用次数: 0

摘要

背景:血液学特征作为临床评价各种疾病的指标具有积极的参考价值。本研究的目的是确定与中国西北汉族人群20种血液学表型相关的基因位点。方法:对1005名西北地区汉族人群的血液学指标进行全基因组关联研究。使用GeneTitan多通道仪器和Axiom Analysis Suite 6.0进行基因分型。以1000基因组计划(第三阶段)为参考,使用IMPUTE2进行单倍型插入。snv(单核苷酸变异)与血液学表型显著相关。然后选择顶部SNV (p < 5E-7)进行复制检测。结果:在GWAS中发现的90个遗传变异与血液学指标有显著相关性。其中,只有rs35289401 (CCDC157)与红细胞分布宽度(RDW)显著相关(全基因组)(p = 4.21E-08)。选择前14个snv进行复制验证,并与血液学表型显著相关。然而,只有HBS1 L-MYB rs1331309与平均血红蛋白含量显著相关(p = 6.42E-07)。我们还发现,rs1331309 GG/GT基因型的平均红细胞血红蛋白(MCH)水平显著高于TT基因型(p = 0.023)。结论:GWAS共鉴定出90个与血液学表型指标显著相关的遗传变异。特别是,rs1331309 (HBS1 L-MYB)有望成为监测MCH水平动态的生物标志物。本研究为血液学特征遗传结构的相关研究提供了参考。为临床诊断或预测多种疾病提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China.

Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China.

Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China.

Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China.

Background: Hematological characteristics have positive reference value as clinical indicators in the evaluation of various diseases. The purpose of this study was to determine the gene loci associated with 20 hematological phenotypes in the Han population from northwest China.

Methods: A genome-wide association study (GWAS) was conducted on hematological indicators of 1005 Han people from northwest China. Genotyping was performed with a GeneTitan multichannel instrument and Axiom Analysis Suite 6.0. Using the 1000 Genomes Project (phase 3) as a reference, haplotype imputation was performed with IMPUTE2. SNVs (single nucleotide variants) significantly associated with hematological phenotypes were identified. The top SNV (p < 5E-7) was then selected for replication detection.

Results: Ninety genetic variations identified in the GWAS were significantly associated with hematological indicators. Among them, only rs35289401 (CCDC157) was significantly associated (genome-wide) with red blood cell distribution width (RDW) (p = 4.21E-08). The fourteen top SNVs were selected for replication verification and were significantly associated with hematological phenotypes. However, only HBS1 L-MYB rs1331309 was significantly associated with the mean hemoglobin content (p = 6.42E-07). We also found that the mean corpuscular hemoglobin (MCH) level in the rs1331309 GG/GT genotype was significantly higher than that in the TT genotype (p = 0.023).

Conclusion: The GWAS identified a total of 90 genetic variants significantly associated with hematological phenotypic indicators. In particular, rs1331309 (HBS1 L-MYB) is expected to be a biomarker for monitoring the dynamics of MCH levels. This study provides a reference for related studies on the genetic structure of hematological characteristics. It provides a valuable reference for the clinical diagnosis or prediction of a variety of diseases.

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