Temporal stability of circulating microRNAs in human serum

Circulating microRNA biomarkers for disease have been subject to extensive research. However, insufficient consideration of variability in the healthy population has led to few markers achieving the performance necessary in independent follow-up studies to be taken forward to clinical practice. To investigate the natural variation of circulating microRNA over time, we performed small RNA sequencing in a longitudinal study of 66 women with no history of cancer, and determined the distribution and dynamics (via intraclass correlation coefficients, ICCs) of the miRNA profile over 3 time points sampled across 2-5 years. We also investigate abundances in circulation, as well as the impact of normalization, age, BMI, and other sample collection factors on microRNA measurements from small RNA sequencing.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004348	This dataset includes microRNA sequencing data from 198 human serum samples, representing a subset of 66 women with no history of cancer who participated in the UKCTOCS study and with serum samples collected at three timepoints over a period of up to 5 years. Small RNA libraries prepared from the serum samples were sequenced with 50-bp single end reads on an Illumina HiSeq 2000 instrument. Data is provided as FASTQ files.	Illumina HiSeq 2000	198

Publications	Citations
The 14q32 maternally imprinted locus is a major source of longitudinally stable circulating microRNAs as measured by small RNA sequencing. Valbuena GN, Apostolidou S, Roberts R, Barnes J, Alderton W, Harper L, Jacobs I, Menon U, Keun HC. Sci Rep 9: 2019 15787	4
Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices. Ruiz-Serra V, Buslón N, Philippe OR, Saby D, Morales M, Pontes C, Andirkó AM, Holliday GL, Jené A, Moldes M, Rambla J, Valencia A, Rementeria MJ, Cortés A, Cirillo D. iScience 27: 2024 110831	0