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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-wid...

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Autores principales: Yang, Wei, He, Xue, Yao, Yuying, Lu, Hongyan, Wang, Yuliang, Zhang, Zhanhao, Wang, Yuhe, Wang, Li, He, Yongjun, Yuan, Dongya, Jin, Tianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357418/
https://www.ncbi.nlm.nih.gov/pubmed/35945964
http://dx.doi.org/10.2147/PGPM.S361809
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author Yang, Wei
He, Xue
Yao, Yuying
Lu, Hongyan
Wang, Yuliang
Zhang, Zhanhao
Wang, Yuhe
Wang, Li
He, Yongjun
Yuan, Dongya
Jin, Tianbo
author_facet Yang, Wei
He, Xue
Yao, Yuying
Lu, Hongyan
Wang, Yuliang
Zhang, Zhanhao
Wang, Yuhe
Wang, Li
He, Yongjun
Yuan, Dongya
Jin, Tianbo
author_sort Yang, Wei
collection PubMed
description 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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spelling pubmed-93574182022-08-08 Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China Yang, Wei He, Xue Yao, Yuying Lu, Hongyan Wang, Yuliang Zhang, Zhanhao Wang, Yuhe Wang, Li He, Yongjun Yuan, Dongya Jin, Tianbo Pharmgenomics Pers Med Original Research 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. Dove 2022-08-03 /pmc/articles/PMC9357418/ /pubmed/35945964 http://dx.doi.org/10.2147/PGPM.S361809 Text en © 2022 Yang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yang, Wei
He, Xue
Yao, Yuying
Lu, Hongyan
Wang, Yuliang
Zhang, Zhanhao
Wang, Yuhe
Wang, Li
He, Yongjun
Yuan, Dongya
Jin, Tianbo
Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title_full Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title_fullStr Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title_full_unstemmed Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title_short Genome-Wide Association Study on the Hematological Phenotypic Characteristics of the Han Population from Northwest China
title_sort genome-wide association study on the hematological phenotypic characteristics of the han population from northwest china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357418/
https://www.ncbi.nlm.nih.gov/pubmed/35945964
http://dx.doi.org/10.2147/PGPM.S361809
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