Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals

Author:

Aoki Yu-ichi12,Taguchi Keiko13ORCID,Anzawa Hayato12ORCID,Kawashima Junko1,Ishida Noriko1,Otsuki Akihito1,Hasegawa Atsushi1,Baird Liam13,Suzuki Takafumi1,Motoike Ikuko N12,Ohneda Kinuko1,Kumada Kazuki13,Katsuoka Fumiki13,Kinoshita Kengo123,Yamamoto Masayuki1

Affiliation:

1. Tohoku University Tohoku Medical Megabank Organization, , Sendai, Miyagi, Japan

2. Tohoku University Systems Bioinformatics, Graduate School of Information Sciences, , Aramaki aza Aoba 6-3-09, Aoba-ku, Sendai, Miyagi, 980-8579, Japan

3. Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, , 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan

Abstract

Abstract Whole blood transcriptome analysis is a valuable approachin medical research, primarily due to the ease of sample collection and the richness of the information obtained. Since the expression profile of individual genes in the analysis is influenced by medical traits and demographic attributes such as age and gender, there has been a growing demand for a comprehensive database for blood transcriptome analysis. Here, we performed whole blood RNA sequencing (RNA-seq) analysis on 576 participants stratified by age (20–30s and 60–70s) and gender from cohorts of the Tohoku Medical Megabank (TMM). A part of female segment included pregnant women. We did not exclude the globin gene family in our RNA-seq study, which enabled us to identify instances of hereditary persistence of fetal hemoglobin based on the HBG1 and HBG2 expression information. Comparing stratified populations allowed us to identify groups of genes associated with age-related changes and gender differences. We also found that the immune response status, particularly measured by neutrophil-to-lymphocyte ratio (NLR), strongly influences the diversity of individual gene expression profiles in whole blood transcriptome analysis. This stratification has resulted in a data set that will be highly beneficial for future whole blood transcriptome analysis in the Japanese population.

Funder

Japan Agency for Medical Research and Development

Publisher

Oxford University Press (OUP)

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