Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome
(2023) In Nature Communications 14(1).- Abstract
Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potential regulatory sites in 33 blood-group genes. As proof-of-concept, we aimed to delineate the low-expressing complement receptor 1 (CR1) Helgeson phenotype on erythrocytes, which is correlated with several diseases and protects against severe malaria. We demonstrate that two candidate CR1 enhancer motifs in intron 4 bind GATA1 and drive transcription. Both are functionally abolished by naturally-occurring SNVs. Erythrocyte CR1-mRNA and CR1 levels... (More)
Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potential regulatory sites in 33 blood-group genes. As proof-of-concept, we aimed to delineate the low-expressing complement receptor 1 (CR1) Helgeson phenotype on erythrocytes, which is correlated with several diseases and protects against severe malaria. We demonstrate that two candidate CR1 enhancer motifs in intron 4 bind GATA1 and drive transcription. Both are functionally abolished by naturally-occurring SNVs. Erythrocyte CR1-mRNA and CR1 levels correlate dose-dependently with genotype of one SNV (rs11117991) in two healthy donor cohorts. Haplotype analysis of rs11117991 with previously proposed markers for Helgeson shows high linkage disequilibrium in Europeans but explains the poor prediction reported for Africans. These data resolve the longstanding debate on the genetic basis of inherited low CR1 and form a systematic starting point to investigate the blood group regulome.
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- author
- Wu, Ping Chun LU ; Lee, Yan Quan LU ; Möller, Mattias LU ; Storry, Jill R LU and Olsson, Martin L LU
- organization
- publishing date
- 2023-08-17
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Humans, Phenotype, Genotype, Introns, African People, Computational Biology, GATA1 Transcription Factor/genetics, Receptors, Complement 3b
- in
- Nature Communications
- volume
- 14
- issue
- 1
- article number
- 5001
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:37591894
- scopus:85168273151
- ISSN
- 2041-1723
- DOI
- 10.1038/s41467-023-40708-w
- project
- The blood group regulome project
- language
- English
- LU publication?
- yes
- additional info
- © 2023. Springer Nature Limited.
- id
- d1a86917-481d-4b64-be1c-c142764f8a76
- date added to LUP
- 2023-08-29 09:15:07
- date last changed
- 2024-07-13 09:40:39
@article{d1a86917-481d-4b64-be1c-c142764f8a76, abstract = {{<p>Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potential regulatory sites in 33 blood-group genes. As proof-of-concept, we aimed to delineate the low-expressing complement receptor 1 (CR1) Helgeson phenotype on erythrocytes, which is correlated with several diseases and protects against severe malaria. We demonstrate that two candidate CR1 enhancer motifs in intron 4 bind GATA1 and drive transcription. Both are functionally abolished by naturally-occurring SNVs. Erythrocyte CR1-mRNA and CR1 levels correlate dose-dependently with genotype of one SNV (rs11117991) in two healthy donor cohorts. Haplotype analysis of rs11117991 with previously proposed markers for Helgeson shows high linkage disequilibrium in Europeans but explains the poor prediction reported for Africans. These data resolve the longstanding debate on the genetic basis of inherited low CR1 and form a systematic starting point to investigate the blood group regulome.</p>}}, author = {{Wu, Ping Chun and Lee, Yan Quan and Möller, Mattias and Storry, Jill R and Olsson, Martin L}}, issn = {{2041-1723}}, keywords = {{Humans; Phenotype; Genotype; Introns; African People; Computational Biology; GATA1 Transcription Factor/genetics; Receptors, Complement 3b}}, language = {{eng}}, month = {{08}}, number = {{1}}, publisher = {{Nature Publishing Group}}, series = {{Nature Communications}}, title = {{Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome}}, url = {{http://dx.doi.org/10.1038/s41467-023-40708-w}}, doi = {{10.1038/s41467-023-40708-w}}, volume = {{14}}, year = {{2023}}, }