Evidence map›Paper›PMID 41526221›Full record

ArticleAnnals of laboratory medicine2026

Technical Considerations for Blood RNA Sequencing in Genetic Testing: Evaluation of Globin Depletion Methods, Batch Effects, and Sample Types.

Xinyi Lu, Yumeng Ma, Xiaomei Luo, Xiaoyan Huo, Jie Wang, Yi Liu, Huili Liu, Ting Xu, Qianfeng Zhao, Yongguo Yu and 1 more

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xinyi LuDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0009-7550-8873
Yumeng MaDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0006-0733-5075
Xiaomei LuoDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-1524-2574
Xiaoyan HuoDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0005-6618-437X
Jie WangDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7603-1298
Yi LiuDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0004-5029-4104
Huili LiuDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0005-5044-7657
Ting XuDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0000-4134-9805
Qianfeng ZhaoDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-0245-9056
Yongguo YuDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-4472-0910
Yanjie FanDepartment of Clinical Genetics Center, Shanghai Institute for Pediatric Research, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-7006-733X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blood RNA sequencing (RNA-seq) is increasingly used to enhance diagnostic yield in genetic disorders; however, technical optimization is critical for clinical implementation. We evaluated key technical considerations for blood RNA-seq, including globin depletion methods, inter-batch variability, and sample types (whole blood vs. isolated peripheral blood mononuclear cells [PBMCs]). Methods: We compared the applicability of reagent-based globin removal (globin-RR) with bioinformatic globin removal (globin-BR) in whole-blood RNA-seq in terms of globin depletion efficiency and required sequencing depth, assessed batch effects in globin-RR samples using principal component and correlation analyses, and compared the use of whole blood versus PBMCs in terms of expression correlations and the number of detected Mendelian disease-associated genes. Results: Globin-RR performed better than globin-BR, achieved better coverage of clinically relevant Mendelian disease-associated genes (51.85% vs. 40.79%), and required fewer total sequencing reads (mean, ~107 vs. ~149 million) to obtain 100 million non-globin reads. Batch effects of globin-RR were low (inter-batch correlation, R Conclusions: Globin-RR is effective, reproducible, and practical for use in clinical whole-blood RNA-seq. With high concordance and a slightly broader gene detection range than whole blood, PBMCs are a viable alternative sample type for routine genetic diagnostic tests.

Indexed as

Genetic TestingGlobinsRNASequence Analysis, RNAHigh-Throughput Nucleotide SequencingHumansLeukocytes, MononuclearGlobinsRNABatch effectBlood RNA sequencingGenetic diagnosisGlobin depletionSample collection

Identifiers

PMID41526221
PMCPMC13458172

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.