Chen Wei, Brehm John M, Lin Jerome, Wang Ting, Forno Erick, Acosta-Pérez Edna, Boutaoui Nadia, Canino Glorisa, Celedón Juan C
Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
PLoS One. 2015 Mar 27;10(3):e0122464. doi: 10.1371/journal.pone.0122464. eCollection 2015.
Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, thus enhancing our understanding of regulation of gene expression. However, few studies have attempted to identify eQTL in racially admixed populations such as Hispanics.
We performed a systematic eQTL study to identify regulatory variants of gene expression in whole blood from 121 Puerto Rican children with (n = 63) and without (n = 58) asthma. Genome-wide genotyping was conducted using the Illumina Omni2.5M Bead Chip, and gene expression was assessed using the Illumina HT-12 microarray. After completing quality control, we performed a pair-wise genome analysis of ~15 K transcripts and ~1.3 M SNPs for both local and distal effects. This analysis was conducted under a regression framework adjusting for age, gender and principal components derived from both genotypic and mRNA data. We used a false discovery rate (FDR) approach to identify significant eQTL signals, which were next compared to top eQTL signals from existing eQTL databases. We then performed a pathway analysis for our top genes.
We identified 36,720 local pairs in 3,391 unique genes and 1,851 distal pairs in 446 unique genes at FDR <0.05, corresponding to unadjusted P values lower than 1.5x10-4 and 4.5x10-9, respectively. A significant proportion of genes identified in our study overlapped with those identified in previous studies. We also found an enrichment of disease-related genes in our eQTL list.
We present results from the first eQTL study in Puerto Rican children, who are members of a unique Hispanic cohort disproportionately affected with asthma, prematurity, obesity and other common diseases. Our study confirmed eQTL signals identified in other ethnic groups, while also detecting additional eQTLs unique to our study population. The identified eQTLs will help prioritize findings from future genome-wide association studies in Puerto Ricans.
已利用来自不同人群的组织或细胞样本鉴定出表达数量性状基因座(eQTL),从而加深了我们对基因表达调控的理解。然而,很少有研究尝试在西班牙裔等种族混合人群中鉴定eQTL。
我们进行了一项系统性eQTL研究,以鉴定121名患有(n = 63)和未患有(n = 58)哮喘的波多黎各儿童全血中基因表达的调控变异。使用Illumina Omni2.5M Bead芯片进行全基因组基因分型,并使用Illumina HT - 12微阵列评估基因表达。完成质量控制后,我们对约15K个转录本和约130万个单核苷酸多态性(SNP)进行了成对基因组分析,以研究局部和远端效应。该分析在一个回归框架下进行,对年龄、性别以及从基因型和mRNA数据得出的主成分进行了校正。我们使用错误发现率(FDR)方法来鉴定显著的eQTL信号,随后将这些信号与现有eQTL数据库中的顶级eQTL信号进行比较。然后我们对顶级基因进行了通路分析。
在错误发现率(FDR)<0.05时,我们在3391个独特基因中鉴定出36720对局部配对,在446个独特基因中鉴定出1851对远端配对,分别对应未校正的P值低于1.5×10 - 4和4.5×10 - 9。我们研究中鉴定出的很大一部分基因与先前研究中鉴定出的基因重叠。我们还在我们的eQTL列表中发现了疾病相关基因的富集。
我们展示了在波多黎各儿童中进行的第一项eQTL研究的结果,这些儿童是西班牙裔独特队列的成员,不成比例地受到哮喘、早产、肥胖和其他常见疾病的影响。我们的研究证实了在其他种族群体中鉴定出的eQTL信号,同时也检测到了我们研究人群特有的其他eQTL。所鉴定的eQTL将有助于在未来波多黎各人的全基因组关联研究中对研究结果进行优先级排序。