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Lockwood C, Vo AS, Bellafard H, Carter AJR. More evidence for widespread antagonistic pleiotropy in polymorphic disease alleles. Front Genet 2024; 15:1404516. [PMID: 38952711 PMCID: PMC11215129 DOI: 10.3389/fgene.2024.1404516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 05/29/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction Many loci segregate alleles classified as "genetic diseases" due to their deleterious effects on health. However, some disease alleles have been reported to show beneficial effects under certain conditions or in certain populations. The beneficial effects of these antagonistically pleiotropic alleles may explain their continued prevalence, but the degree to which antagonistic pleiotropy is common or rare is unresolved. We surveyed the medical literature to identify examples of antagonistic pleiotropy to help determine whether antagonistic pleiotropy appears to be rare or common. Results We identified ten examples of loci with polymorphisms for which the presence of antagonistic pleiotropy is well supported by detailed genetic or epidemiological information in humans. One additional locus was identified for which the supporting evidence comes from animal studies. These examples complement over 20 others reported in other reviews. Discussion The existence of more than 30 identified antagonistically pleiotropic human disease alleles suggests that this phenomenon may be widespread. This poses important implications for both our understanding of human evolutionary genetics and our approaches to clinical treatment and disease prevention, especially therapies based on genetic modification.
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Affiliation(s)
| | | | | | - Ashley J. R. Carter
- California State University Long Beach, Department of Biological Sciences, Long Beach, CA, United States
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2
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Precision transfusion medicine: a new spin. Blood 2022; 140:1661-1663. [PMID: 36227750 DOI: 10.1182/blood.2022018080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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3
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Sugrue JA, Smith M, Posseme C, Charbit B, Bourke NM, Duffy D, O'Farrelly C. Rhesus negative males have an enhanced IFNγ-mediated immune response to influenza A virus. Genes Immun 2022; 23:93-98. [PMID: 35428875 PMCID: PMC9012157 DOI: 10.1038/s41435-022-00169-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/14/2022] [Accepted: 03/17/2022] [Indexed: 11/26/2022]
Abstract
The Rhesus D antigen (RhD) has been associated with susceptibility to several viral infections. Reports suggest that RhD-negative individuals are better protected against infectious diseases and have overall better health. However, potential mechanisms contributing to these associations have not yet been defined. Here, we used transcriptomic and genomic data from the Milieu Interieur cohort of 1000 healthy individuals to explore the effect of Rhesus status on the immune response. We used the rs590787 SNP in the RHD gene to classify the 1000 donors as either RhD-positive or -negative. Whole blood was stimulated with LPS, polyIC, and the live influenza A virus and the NanoString human immunology panel of 560 genes used to assess donor immune response and to investigate sex-specific effects. Using regression analysis, we observed no significant differences in responses to polyIC or LPS between RhD-positive and -negative individuals. However, upon sex-specific analysis, we observed over 40 differentially expressed genes (DEGs) between RhD-positive (n = 384) and RhD-negative males (n = 75) after influenza virus stimulation. Interestingly these Rhesus-associated differences were not seen in females. Further investigation, using gene set enrichment analysis, revealed enhanced IFNγ signalling in RhD-negative males. This amplified IFNγ signalling axis may explain the increased viral resistance previously described in RhD-negative individuals.
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Affiliation(s)
- Jamie A Sugrue
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland.
| | - Megan Smith
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland
| | - Celine Posseme
- Translational Immunology Unit, Institut Pasteur, Université de Paris, Paris, France
| | - Bruno Charbit
- Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, Paris, France
| | | | - Nollaig M Bourke
- Department of Medical Gerontology, School of Medicine, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Darragh Duffy
- Translational Immunology Unit, Institut Pasteur, Université de Paris, Paris, France.,Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, Paris, France
| | - Cliona O'Farrelly
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland.,School of Medicine, Trinity College Dublin, Dublin, Ireland
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4
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Grueber CE, Farquharson KA, Wright BR, Wallis GP, Hogg CJ, Belov K. First evidence of deviation from Mendelian proportions in a conservation programme. Mol Ecol 2021; 30:3703-3715. [PMID: 34051005 DOI: 10.1111/mec.16004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/05/2021] [Indexed: 11/29/2022]
Abstract
Classic Mendelian inheritance is the bedrock of population genetics and underpins pedigree-based management of animal populations. However, assumptions of Mendelian inheritance might not be upheld in conservation breeding programmes if early viability selection occurs, even when efforts are made to equalise genetic contributions of breeders. To test this possibility, we investigated deviations from Mendelian proportions in a captive metapopulation of the endangered Tasmanian devil. This marsupial population is ideal for addressing evolutionary questions in conservation due to its large size, range of enclosure types (varying in environmental conditions), good genomic resources (which aid interpretation), and the species' biology. Devil mothers give birth to more offspring than they can nurse in the pouch, providing the potential for intense viability selection amongst embryos. We used data from 140 known sire-dam-offspring triads to isolate within-family selection from population-level mechanisms (such as mate choice or inbreeding), and compared observed offspring genotypes at 123 targeted SNPs to neutral (i.e., Mendelian) expectations. We found lower offspring heterozygosity than expected, and subtle patterns that varied across a gradient of management intensity from zoo-like enclosures to semi-wild environments for some loci. Meiotic drive or maternal-foetal incompatibilities are consistent with our results, although we cannot statistically confirm these mechanisms. We found some evidence that maternal genotype affects annual litter size, suggesting that family-level patterns are driven by differential offspring mortality before birth or during early development. Our results show that deviations from Mendelian inheritance can occur in conservation programmes, despite best-practice management to prevent selection.
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Affiliation(s)
- Catherine E Grueber
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.,San Diego Zoo Global, San Diego, CA, USA
| | - Katherine A Farquharson
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Belinda R Wright
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Graham P Wallis
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Carolyn J Hogg
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Katherine Belov
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
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5
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Nyangiri OA, Noyes H, Mulindwa J, Ilboudo H, Kabore JW, Ahouty B, Koffi M, Asina OF, Mumba D, Ofon E, Simo G, Kimuda MP, Enyaru J, Alibu VP, Kamoto K, Chisi J, Simuunza M, Camara M, Sidibe I, MacLeod A, Bucheton B, Hall N, Hertz-Fowler C, Matovu E. Copy number variation in human genomes from three major ethno-linguistic groups in Africa. BMC Genomics 2020; 21:289. [PMID: 32272904 PMCID: PMC7147055 DOI: 10.1186/s12864-020-6669-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 03/12/2020] [Indexed: 01/02/2023] Open
Abstract
Background Copy number variation is an important class of genomic variation that has been reported in 75% of the human genome. However, it is underreported in African populations. Copy number variants (CNVs) could have important impacts on disease susceptibility and environmental adaptation. To describe CNVs and their possible impacts in Africans, we sequenced genomes of 232 individuals from three major African ethno-linguistic groups: (1) Niger Congo A from Guinea and Côte d’Ivoire, (2) Niger Congo B from Uganda and the Democratic Republic of Congo and (3) Nilo-Saharans from Uganda. We used GenomeSTRiP and cn.MOPS to identify copy number variant regions (CNVRs). Results We detected 7608 CNVRs, of which 2172 were only deletions, 2384 were only insertions and 3052 had both. We detected 224 previously un-described CNVRs. The majority of novel CNVRs were present at low frequency and were not shared between populations. We tested for evidence of selection associated with CNVs and also for population structure. Signatures of selection identified previously, using SNPs from the same populations, were overrepresented in CNVRs. When CNVs were tagged with SNP haplotypes to identify SNPs that could predict the presence of CNVs, we identified haplotypes tagging 3096 CNVRs, 372 CNVRs had SNPs with evidence of selection (iHS > 3) and 222 CNVRs had both. This was more than expected (p < 0.0001) and included loci where CNVs have previously been associated with HIV, Rhesus D and preeclampsia. When integrated with 1000 Genomes CNV data, we replicated their observation of population stratification by continent but no clustering by populations within Africa, despite inclusion of Nilo-Saharans and Niger-Congo populations within our dataset. Conclusions Novel CNVRs in the current study increase representation of African diversity in the database of genomic variants. Over-representation of CNVRs in SNP signatures of selection and an excess of SNPs that both tag CNVs and are subject to selection show that CNVs may be the actual targets of selection at some loci. However, unlike SNPs, CNVs alone do not resolve African ethno-linguistic groups. Tag haplotypes for CNVs identified may be useful in predicting African CNVs in future studies where only SNP data is available.
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Affiliation(s)
- Oscar A Nyangiri
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda.,Epidemiology and Demography Department, Kenya Medical Research Institute (KEMRI)/Wellcome Trust Research Programme, P.O. Box 230, Kilifi, Kenya
| | - Harry Noyes
- Centre for Genomic Research, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Julius Mulindwa
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Hamidou Ilboudo
- Institut de Recherche en Sciences de la Santé (IRSS) - Unité de Recherche Clinique de Nanoro (URCN), Nanoro, Burkina Faso
| | - Justin Windingoudi Kabore
- Centre International de Recherche-Développement sur l'Elevage en zones Subhumides (CIRDES), Unité des Maladies à Vecteurs et Biodiversité (UMaVeB), 01 BP 454, Bobo-Dioulasso, 01, Burkina Faso
| | - Bernardin Ahouty
- Felix Houphouet Boigny University (UFHB), Cocody, Abidjan, Côte d'Ivoire
| | - Mathurin Koffi
- Université Jean Lorougnon Guédé (UJLoG) de Daloa, Daloa, Côte d'Ivoire
| | - Olivier Fataki Asina
- Institut National de Recherche Biomedicale, Avenue de la Democratie, Kinshasa Gombe, P. O. Box 1197, Kinshasa, Democratic Republic of Congo
| | - Dieudonne Mumba
- Institut National de Recherche Biomedicale, Avenue de la Democratie, Kinshasa Gombe, P. O. Box 1197, Kinshasa, Democratic Republic of Congo
| | - Elvis Ofon
- Faculty of Science, University of Dschang, P. O. Box 67, Dschang, Cameroon
| | - Gustave Simo
- Faculty of Science, University of Dschang, P. O. Box 67, Dschang, Cameroon
| | - Magambo Phillip Kimuda
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - John Enyaru
- College of Natural Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Vincent Pius Alibu
- College of Natural Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Kelita Kamoto
- College of Medicine, Department of Basic Medical Sciences, University of Malawi, Private Bag 360, Chichiri, Blantyre, 3, Malawi
| | - John Chisi
- College of Medicine, Department of Basic Medical Sciences, University of Malawi, Private Bag 360, Chichiri, Blantyre, 3, Malawi
| | - Martin Simuunza
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, P. O. Box 32379, Lusaka, Zambia
| | - Mamadou Camara
- Programme National de Lutte contre la Trypanosomose Humaine Africaine, BP 851, Conakry, Guinea
| | - Issa Sidibe
- Centre International de Recherche-Développement sur l'Elevage en zones Subhumides (CIRDES), Unité des Maladies à Vecteurs et Biodiversité (UMaVeB), 01 BP 454, Bobo-Dioulasso, 01, Burkina Faso
| | - Annette MacLeod
- Wellcome Centre for Molecular Parasitology, Institute of Biodiversity, Animal Health and Comparative Medicine, Garscube Estate, Glasgow, G61 1QH, UK
| | - Bruno Bucheton
- Programme National de Lutte contre la Trypanosomose Humaine Africaine, BP 851, Conakry, Guinea.,Institut de Recherche pour le Développement (IRD), IRD-CIRAD 177, TA A-17/G, Campus International de Baillarguet, F-34398, Montpellier, France
| | - Neil Hall
- Centre for Genomic Research, University of Liverpool, Liverpool, L69 7ZB, UK.,Present address: Earlham Institute Norwich Research Park Innovation Centre, Colney Ln, Norwich, NR4 7UZ, UK
| | | | - Enock Matovu
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda.
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Red cell groups and Basque population(s): From anthropology to public health. Transfus Clin Biol 2019; 26:69-75. [DOI: 10.1016/j.tracli.2018.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 11/14/2018] [Indexed: 11/19/2022]
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7
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Flores-Bello A, Mas-Ponte D, Rosu ME, Bosch E, Calafell F, Comas D. Sequence diversity of the Rh blood group system in Basques. Eur J Hum Genet 2018; 26:1859-1866. [PMID: 30089826 PMCID: PMC6244411 DOI: 10.1038/s41431-018-0232-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 06/15/2018] [Accepted: 07/17/2018] [Indexed: 11/09/2022] Open
Abstract
Basques show specific cultural, demographic, and genetic characteristics that have placed them as an isolated and unique population within Europe, such as their non-Indo-European language, Euskara. They have historically lived along the Western Pyrenees, between Spain and France, in one of the most important European glacial refugia during the Last Glacial Maximum. The most striking genetic characteristic is their highest frequency of the RhD blood group negative allele, a variant related to the hemolytic disease of the newborn. Both demographic and adaptive processes have been suggested as possible causes of the high frequency of RhD negative in Basques, but neither hypothesis has been clearly demonstrated. While previous studies on the Rh system in Basques have been mostly focused on serological and genotyping diversity, in this work we analyze genotyping and next generation sequencing data in order to provide a general framework of the genetic scenario of the system in Basques. In particular, we genotyped the most relevant variants of the system (D/d, E/e, and C/c), and sequenced three ~6 kb flanking regions surrounding the Rh genes in Basques and also in other populations for comparison. Our results are in agreement with previous studies, with Basques presenting the highest frequency of the RHD deletion (47.2%). Haplotype analyses of D/d, E/e, and C/c variants confirmed an association between the RhC allele, previously suggested to be under positive selection, and the RhD positive variant in non-sub-Saharan populations, including Basques. We also found extreme differentiation for the C/c variant when comparing sub-Saharan to non-sub-Saharan populations.
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Affiliation(s)
- André Flores-Bello
- Institute of Evolutionary Biology (CSIC - UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - David Mas-Ponte
- Institute for Research in Biomedicine Barcelona, Barcelona, Spain
| | - Miruna E Rosu
- Department of Viroscience, Postgraduate School Molecular Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Elena Bosch
- Institute of Evolutionary Biology (CSIC - UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - Francesc Calafell
- Institute of Evolutionary Biology (CSIC - UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - David Comas
- Institute of Evolutionary Biology (CSIC - UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain.
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8
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Hujoel P, Bollen AM, Yuen K, Hujoel I. Phenotypic characteristics of adolescents with concave and convex facial profiles – The National Health Examination Survey. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2016; 67:417-432. [DOI: 10.1016/j.jchb.2016.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 04/08/2016] [Indexed: 01/10/2023]
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9
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Moezzi L, Keshavarz Z, Ranjbaran R, Aboualizadeh F, Behzad-Behbahani A, Abdullahi M, Ramezani A, Samsami A, Sharifzadeh S. Fetal RHD Genotyping Using Real-Time Polymerase Chain Reaction Analysis of Cell-Free Fetal DNA in Pregnancy of RhD Negative Women in South of Iran. INTERNATIONAL JOURNAL OF FERTILITY & STERILITY 2016; 10:62-70. [PMID: 27123202 PMCID: PMC4845531 DOI: 10.22074/ijfs.2016.4770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 06/29/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND Maternal-fetal RhD antigen incompatibility causes approximately 50% of clinically significant alloimmunization cases. The routine use of prophylactic anti-D immunoglobulin has dramatically reduced hemolytic disease of the fetus and newborn. Recently, fetal RHD genotyping in RhD negative pregnant women has been suggested for appropriate use of anti-D immunoglobulin antenatal prophylaxis and decrease unnecessary prenatal interventions. MATERIALS AND METHODS In this prospective cohort study, in order to develop a reliable and non-invasive method for fetal RHD genotyping, cell free fetal DNA (cffD- NA) was extracted from maternal plasma. Real-time quantitative polymerase chain reaction (qPCR) for detection of RHD exons 7, 5, 10 and intron 4 was performed and the results were compared to the serological results of cord blood cells as the gold standard method. SRY gene and hypermethylated Ras-association domain family member 1 (RASSF1A) gene were used to confirm the presence of fetal DNA in male and female fetuses, respectively. RESULTS Out of 48 fetuses between 8 and 32 weeks (wks) of gestational age (GA), we correctly diagnosed 45 cases (93.75%) of RHD positive fetuses and 2 cases (4.16%) of the RHD negative one. Exon 7 was amplified in one sample, while three other RHD gene sequences were not detected; the sample was classified as inconclusive, and the RhD serology result after birth showed that the fetus was RhD-negative. CONCLUSION Our results showed high accuracy of the qPCR method using cffDNA for fetal RHD genotyping and implicate on the efficiency of this technique to predict the competence of anti-D immunoglobulin administration.
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Affiliation(s)
- Leili Moezzi
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zeinab Keshavarz
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Ranjbaran
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Farzaneh Aboualizadeh
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abbas Behzad-Behbahani
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Masooma Abdullahi
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amin Ramezani
- School of Advanced Medical Science and Technology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Alamtaj Samsami
- Department of Obstetrics and Gynecology, Medical School, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sedigheh Sharifzadeh
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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10
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Nik-Zainal S, Wedge DC, Alexandrov LB, Petljak M, Butler AP, Bolli N, Davies HR, Knappskog S, Martin S, Papaemmanuil E, Ramakrishna M, Shlien A, Simonic I, Xue Y, Tyler-Smith C, Campbell PJ, Stratton MR. Association of a germline copy number polymorphism of APOBEC3A and APOBEC3B with burden of putative APOBEC-dependent mutations in breast cancer. Nat Genet 2014; 46:487-91. [PMID: 24728294 PMCID: PMC4137149 DOI: 10.1038/ng.2955] [Citation(s) in RCA: 210] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 03/06/2014] [Indexed: 12/13/2022]
Abstract
The somatic mutations in a cancer genome are the aggregate outcome of one or more mutational processes operative through the lifetime of the individual with cancer. Each mutational process leaves a characteristic mutational signature determined by the mechanisms of DNA damage and repair that constitute it. A role was recently proposed for the APOBEC family of cytidine deaminases in generating particular genome-wide mutational signatures and a signature of localized hypermutation called kataegis. A germline copy number polymorphism involving APOBEC3A and APOBEC3B, which effectively deletes APOBEC3B, has been associated with modestly increased risk of breast cancer. Here we show that breast cancers in carriers of the deletion show more mutations of the putative APOBEC-dependent genome-wide signatures than cancers in non-carriers. The results suggest that the APOBEC3A-APOBEC3B germline deletion allele confers cancer susceptibility through increased activity of APOBEC-dependent mutational processes, although the mechanism by which this increase in activity occurs remains unknown.
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Affiliation(s)
- Serena Nik-Zainal
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Medical Genetics, Box 134, Addenbrooke’s Hospital NHS Trust, Hills Road, Cambridge CB2 0QQ
| | - David C. Wedge
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Ludmil B. Alexandrov
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Mia Petljak
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Adam P. Butler
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Niccolo Bolli
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
| | - Helen R. Davies
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Stian Knappskog
- Section of Oncology, Department of Clinical Science, University of Bergen, Norway
- Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Sancha Martin
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Elli Papaemmanuil
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Manasa Ramakrishna
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Adam Shlien
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Ingrid Simonic
- Regional Genetics Laboratories, Box 143, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ
| | - Yali Xue
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Chris Tyler-Smith
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Peter J. Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
| | - Michael R. Stratton
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
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11
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Wagner FF. RHD PCR of D-Negative Blood Donors. ACTA ACUST UNITED AC 2013; 40:172-81. [PMID: 23922542 DOI: 10.1159/000351604] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Accepted: 04/25/2013] [Indexed: 11/19/2022]
Abstract
SUMMARY RHD PCR of blood donors may be used to reveal weak D, partial D, DEL and chimeric D+/D- donors among presumed D-negative blood donors. Units donated by such donors pose a definite yet low risk for anti-D immunization of transfusion recipients. The frequency of DEL donors among D-negative donors is 1:350 to 1:2,000 in Europe and up to 1:5 in Asian countries. Different strategies for RHD PCR of blood donors have been used. Probably, the most cost-efficient implementation is replacement of sensitive D antigen testing with the indirect antiglobulin test by RHD PCR in pools which might even reduce total testing cost.
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