Department of Donor Medicine Research - Donor Studies, Sanquin Research, Plesmanlaan 125, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam UMC - location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Department of Public Health, Amsterdam UMC - location AMC, University of Amsterdam, Amsterdam Public Health, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC - location AMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
Mutat Res Rev Mutat Res. 2019 Jan-Mar;779:58-67. doi: 10.1016/j.mrrev.2019.01.002. Epub 2019 Feb 2.
Individual variations in erythrocyte parameters are influenced by factors like sex, age, diet and season. Genetic variations have also been associated with erythrocyte parameters. The aim of this systematic review is to provide an overview of associations between single nucleotide polymorphisms (SNPs) and erythrocyte parameters in humans. A systematic review protocol was published at the international prospective register of systematic reviews (registration number CRD42016053052). Literature searches were conducted in Medline and Embase. Studies were included if: investigating a(n) causality/association/correlation; population-based; investigating a human population of Caucasian/mixed-ethnic descent; and written in English, Dutch or German. Study quality was assessed using the quality of genetic association studies tool. In total, 4385 studies were screened on title/abstract and 194 studies were screened on full text. Inclusion criteria were met by 13 candidate gene studies (n = 126-49,488) and eight genome-wide association studies (GWASes, n = 1664-116,666). One moderate and six good quality GWAS(es) identified 1237 SNPs located in/near 241 genes. SNPs in/near ten genes were found to be associated with one or more erythrocyte parameter(s) by multiple GWASes, namely HIST1H2AC, MPST, SLC17A1 and SLC17A3 with mean cell hemoglobin (MCH), HIST1H1T and KCTD17 with MCH and mean cell volume (MCV), HBS1L and MYB with MCH, MCV and red cell count (RCC), HFE with MCH, MCV and hemoglobin, and TMPRSS6 with MCH, MCV, hemoglobin and mean cell hemoglobin concentration (MCHC). Four genes were found across multiple erythrocyte parameters by one study in each parameter. Fourteen SNPs were associated with one or more erythrocyte parameter(s) in multiple cohorts, namely rs129128, rs17342717, rs228129 and rs5756504 (MCH), rs4895441, rs7775698, rs9376092 and rs9494145 (MCH, MCV, RCC), rs6569992 (MCH, RCC), rs1800562 (hemoglobin, MCH, MCV), rs130624 and rs198846 (MCH, MCV), rs4820268 and rs855791 (MCH, MCV, MCHC). Further research on these fourteen genes in erythropoiesis is recommended, especially eight whose role in erythropoiesis is unclear.
个体红细胞参数的变化受性别、年龄、饮食和季节等因素的影响。遗传变异也与红细胞参数有关。本系统评价的目的是提供一个关于人类单核苷酸多态性(SNP)与红细胞参数之间关联的概述。系统评价方案在国际前瞻性系统评价注册处(注册号 CRD42016053052)上公布。在 Medline 和 Embase 中进行了文献检索。如果符合以下标准,则纳入研究:研究因果关系/关联/相关性;基于人群;研究白种人/混合种族人群;用英语、荷兰语或德语书写。使用遗传关联研究工具评估研究质量。总共对 4385 项研究进行了标题/摘要筛选,对 194 项研究进行了全文筛选。符合纳入标准的候选基因研究有 13 项(n=126-49488),全基因组关联研究有 8 项(n=1664-116666)。一项中等质量和六项高质量的 GWAS 确定了 1237 个位于/附近 241 个基因的 SNP。通过多个 GWAS 发现 10 个基因中的 SNP 与一个或多个红细胞参数相关,即 HIST1H2AC、MPST、SLC17A1 和 SLC17A3 与平均红细胞血红蛋白(MCH)、HIST1H1T 和 KCTD17 与 MCH 和平均红细胞体积(MCV)、HBS1L 和 MYB 与 MCH、MCV 和红细胞计数(RCC)、HFE 与 MCH、MCV 和血红蛋白、TMPRSS6 与 MCH、MCV、血红蛋白和平均红细胞血红蛋白浓度(MCHC)。一个基因在每个参数中被一项研究发现与多个红细胞参数相关。14 个 SNP 在多个队列中与一个或多个红细胞参数相关,即 rs129128、rs17342717、rs228129 和 rs5756504(MCH)、rs4895441、rs7775698、rs9376092 和 rs9494145(MCH、MCV、RCC)、rs6569992(MCH、RCC)、rs1800562(血红蛋白、MCH、MCV)、rs130624 和 rs198846(MCH、MCV)、rs4820268 和 rs855791(MCH、MCV、MCHC)。建议对这些基因在红细胞生成中的作用进行进一步研究,特别是对 8 个作用尚不清楚的基因。