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Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach

Hematological traits are important health indicators and are used as diagnostic clinical parameters for human disorders. Recently, genome-wide association studies (GWAS) identified many genetic loci associated with hematological traits in diverse ethnic groups. However, additional GWAS are necessary...

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Autores principales: Kim, Yun Kyoung, Oh, Ji Hee, Kim, Young Jin, Hwang, Mi Yeong, Moon, Sanghoon, Low, Siew-Kee, Takahashi, Atsushi, Matsuda, Koichi, Kubo, Michiaki, Lee, Juyoung, Kim, Bong-Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430676/
https://www.ncbi.nlm.nih.gov/pubmed/26064965
http://dx.doi.org/10.1155/2015/914965
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author Kim, Yun Kyoung
Oh, Ji Hee
Kim, Young Jin
Hwang, Mi Yeong
Moon, Sanghoon
Low, Siew-Kee
Takahashi, Atsushi
Matsuda, Koichi
Kubo, Michiaki
Lee, Juyoung
Kim, Bong-Jo
author_facet Kim, Yun Kyoung
Oh, Ji Hee
Kim, Young Jin
Hwang, Mi Yeong
Moon, Sanghoon
Low, Siew-Kee
Takahashi, Atsushi
Matsuda, Koichi
Kubo, Michiaki
Lee, Juyoung
Kim, Bong-Jo
author_sort Kim, Yun Kyoung
collection PubMed
description Hematological traits are important health indicators and are used as diagnostic clinical parameters for human disorders. Recently, genome-wide association studies (GWAS) identified many genetic loci associated with hematological traits in diverse ethnic groups. However, additional GWAS are necessary to elucidate the breadth of genetic variation and the underlying genetic architecture represented by hematological metrics. To identify additional genetic loci influencing hematological traits (such as hematocrit, hemoglobin concentration, white blood cell count, red blood cell count, and platelet count), we conducted GWAS and meta-analyses on data from 12,509 Korean individuals grouped into population-based cohorts. Of interest is EGF, a factor plays a role in the proliferation and differentiation of hematopoietic progenitor cells. We identified a novel EGF variant, which associated with platelet count in our study (P (combined) = 2.44 × 10(−15)). Our study also replicated 16 genetic associations related to five hematological traits with genome-wide significance (P < 5 × 10(−8)) that were previously established in other ethnic groups. Of these, variants influencing platelet count are distributed across several genes and have pleiotropic effects in coronary artery disease and dyslipidemia. Our findings may aid in elucidating molecular mechanisms underlying not only hematopoiesis but also inflammatory and cardiovascular diseases.
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spelling pubmed-44306762015-06-10 Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach Kim, Yun Kyoung Oh, Ji Hee Kim, Young Jin Hwang, Mi Yeong Moon, Sanghoon Low, Siew-Kee Takahashi, Atsushi Matsuda, Koichi Kubo, Michiaki Lee, Juyoung Kim, Bong-Jo Biomed Res Int Research Article Hematological traits are important health indicators and are used as diagnostic clinical parameters for human disorders. Recently, genome-wide association studies (GWAS) identified many genetic loci associated with hematological traits in diverse ethnic groups. However, additional GWAS are necessary to elucidate the breadth of genetic variation and the underlying genetic architecture represented by hematological metrics. To identify additional genetic loci influencing hematological traits (such as hematocrit, hemoglobin concentration, white blood cell count, red blood cell count, and platelet count), we conducted GWAS and meta-analyses on data from 12,509 Korean individuals grouped into population-based cohorts. Of interest is EGF, a factor plays a role in the proliferation and differentiation of hematopoietic progenitor cells. We identified a novel EGF variant, which associated with platelet count in our study (P (combined) = 2.44 × 10(−15)). Our study also replicated 16 genetic associations related to five hematological traits with genome-wide significance (P < 5 × 10(−8)) that were previously established in other ethnic groups. Of these, variants influencing platelet count are distributed across several genes and have pleiotropic effects in coronary artery disease and dyslipidemia. Our findings may aid in elucidating molecular mechanisms underlying not only hematopoiesis but also inflammatory and cardiovascular diseases. Hindawi Publishing Corporation 2015 2015-04-30 /pmc/articles/PMC4430676/ /pubmed/26064965 http://dx.doi.org/10.1155/2015/914965 Text en Copyright © 2015 Yun Kyoung Kim et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kim, Yun Kyoung
Oh, Ji Hee
Kim, Young Jin
Hwang, Mi Yeong
Moon, Sanghoon
Low, Siew-Kee
Takahashi, Atsushi
Matsuda, Koichi
Kubo, Michiaki
Lee, Juyoung
Kim, Bong-Jo
Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title_full Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title_fullStr Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title_full_unstemmed Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title_short Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach
title_sort influence of genetic variants in egf and other genes on hematological traits in korean populations by a genome-wide approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430676/
https://www.ncbi.nlm.nih.gov/pubmed/26064965
http://dx.doi.org/10.1155/2015/914965
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