Evidence map›Paper›PMID 38429690›Full record

ArticleBMC genomics2024

Targeted next-generation sequencing and long-read HiFi sequencing provide novel insights into clinically significant KLF1 variants.

Luyi Ye, Chen Wang, Aijing Li, Minghao Li, Yan Pi, Jingmin Yang, Ziyan Zhu, Daru Lu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 2 citations in OpenAlex.

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

8 authors at 3 institutions in 1 country.

Luyi YeState Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, 200433, Shanghai, China.
Chen WangShanghai Institute of Blood Transfusion, Shanghai Blood Center, 20051, Shanghai, China.
Aijing LiShanghai Institute of Blood Transfusion, Shanghai Blood Center, 20051, Shanghai, China.
Minghao LiShanghai Institute of Blood Transfusion, Shanghai Blood Center, 20051, Shanghai, China.
Yan PiState Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, 200433, Shanghai, China.
Jingmin YangState Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, 200433, Shanghai, China.
Ziyan ZhuShanghai Institute of Blood Transfusion, Shanghai Blood Center, 20051, Shanghai, China.
Daru LuState Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, 200433, Shanghai, China. drlu@fudan.edu.cn.
Shanghai Blood Center · CNFudan University · CNHealth Biomed (China) · CN

Funding

Chongqing Science and Technology Bureau, China cstc2021jxjl130017National Natural Science Foundation of China 81970168
6 · The paper itself

Abstract

backgroundKrüppel-like factor 1 (KLF1), a crucial erythroid transcription factor, plays a significant role in various erythroid changes and haemolytic diseases. The rare erythrocyte Lutheran inhibitor (In(Lu)) blood group phenotype serves as an effective model for identifying KLF1 hypomorphic and loss-of-function variants. In this study, we aimed to analyse the genetic background of the In(Lu) phenotype in a population-based sample group by high-throughput technologies to find potentially clinically significant KLF1 variants.

resultsWe included 62 samples with In(Lu) phenotype, screened from over 300,000 Chinese blood donors. Among them, 36 samples were sequenced using targeted Next Generation Sequencing (NGS), whereas 19 samples were sequenced using High Fidelity (HiFi) technology. In addition, seven samples were simply sequenced using Sanger sequencing. A total of 29 hypomorphic or loss-of-function variants of KLF1 were identified, 21 of which were newly discovered. All new variants discovered by targeted NGS or HiFi sequencing were validated through Sanger sequencing, and the obtained results were found to be consistent. The KLF1 haplotypes of all new variants were further confirmed using clone sequencing or HiFi sequencing. The lack of functional KLF1 variants detected in the four samples indicates the presence of additional regulatory mechanisms. In addition, some samples exhibited BCAM polymorphisms, which encodes antigens of the Lutheran (LU) blood group system. However, no BCAM mutations which leads to the absence of LU proteins were detected.

conclusionsHigh-throughput sequencing methods, particularly HiFi sequencing, were introduced for the first time into genetic analysis of the In(Lu) phenotype. Targeted NGS and HiFi sequencing demonstrated the accuracy of the results, providing additional advantages such as simultaneous analysis of other blood group genes and clarification of haplotypes. Using the In(Lu) phenotype, a powerful model for identifying hypomorphic or loss-of-function KLF1 variants, numerous novel variants have been detected, which have contributed to the comprehensive understanding of KLF1. These clinically significant KLF1 mutations can serve as a valuable reference for the diagnosis of related blood cell diseases.

Indexed as

Blood Group AntigensKruppel-Like Transcription FactorsHigh-Throughput Nucleotide SequencingHumansLutheran Blood-Group SystemMutationBlood Group Antigenserythroid Kruppel-like factorKruppel-Like Transcription FactorsLutheran Blood-Group SystemHiFi sequencingIn(Lu) phenotypeKLF1LU blood groupNGS

Identifiers

PMID38429690
PMCPMC10908068
OpenAlexW4392358200

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.