67
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Reduced Neutrophil Count in People of African Descent Is Due To a Regulatory Variant in the Duffy Antigen Receptor for Chemokines Gene

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Persistently low white blood cell count (WBC) and neutrophil count is a well-described phenomenon in persons of African ancestry, whose etiology remains unknown. We recently used admixture mapping to identify an approximately 1-megabase region on chromosome 1, where ancestry status (African or European) almost entirely accounted for the difference in WBC between African Americans and European Americans. To identify the specific genetic change responsible for this association, we analyzed genotype and phenotype data from 6,005 African Americans from the Jackson Heart Study (JHS), the Health, Aging and Body Composition (Health ABC) Study, and the Atherosclerosis Risk in Communities (ARIC) Study. We demonstrate that the causal variant must be at least 91% different in frequency between West Africans and European Americans. An excellent candidate is the Duffy Null polymorphism (SNP rs2814778 at chromosome 1q23.2), which is the only polymorphism in the region known to be so differentiated in frequency and is already known to protect against Plasmodium vivax malaria. We confirm that rs2814778 is predictive of WBC and neutrophil count in African Americans above beyond the previously described admixture association ( P = 3.8×10 −5), establishing a novel phenotype for this genetic variant.

          Author Summary

          Many African Americans have white blood cell counts (WBC) that are persistently below the normal range for people of European descent, a condition called “benign ethnic neutropenia.” Because most African Americans have both African and European ancestors, selected genetic variants can be analyzed to assign probable African or European origin to each region of each such person's chromosomes. Previously, we found a region on chromosome 1 where increased local African ancestry completely accounted for differences in WBC between African and European Americans, suggesting the presence of an African-derived variant causing low WBC. Here, we show that low neutrophil count is predominantly responsible for low WBC; that a dominant, European-derived allele contributes to high neutrophil count; and that the frequency of this allele differs in Africans and Europeans by >91%. Across the chromosome 1 locus, only the well-characterized “Duffy” polymorphism was this differentiated. Neutrophil count was more strongly associated to the Duffy variant than to ancestry, suggesting that the variant itself causes benign ethnic neutropenia. The African, or “null,” form of this variant abolishes expression of the “Duffy Antigen Receptor for Chemokines” on red blood cells, perhaps altering the concentrations and distribution of chemokines that regulate neutrophil production or migration.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found

          SSAHA: a fast search method for large DNA databases.

          We describe an algorithm, SSAHA (Sequence Search and Alignment by Hashing Algorithm), for performing fast searches on databases containing multiple gigabases of DNA. Sequences in the database are preprocessed by breaking them into consecutive k-tuples of k contiguous bases and then using a hash table to store the position of each occurrence of each k-tuple. Searching for a query sequence in the database is done by obtaining from the hash table the "hits" for each k-tuple in the query sequence and then performing a sort on the results. We discuss the effect of the tuple length k on the search speed, memory usage, and sensitivity of the algorithm and present the results of computational experiments which show that SSAHA can be three to four orders of magnitude faster than BLAST or FASTA, while requiring less memory than suffix tree methods. The SSAHA algorithm is used for high-throughput single nucleotide polymorphism (SNP) detection and very large scale sequence assembly. Also, it provides Web-based sequence search facilities for Ensembl projects.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mapping and sequencing of structural variation from eight human genomes.

            Genetic variation among individual humans occurs on many different scales, ranging from gross alterations in the human karyotype to single nucleotide changes. Here we explore variation on an intermediate scale--particularly insertions, deletions and inversions affecting from a few thousand to a few million base pairs. We employed a clone-based method to interrogate this intermediate structural variation in eight individuals of diverse geographic ancestry. Our analysis provides a comprehensive overview of the normal pattern of structural variation present in these genomes, refining the location of 1,695 structural variants. We find that 50% were seen in more than one individual and that nearly half lay outside regions of the genome previously described as structurally variant. We discover 525 new insertion sequences that are not present in the human reference genome and show that many of these are variable in copy number between individuals. Complete sequencing of 261 structural variants reveals considerable locus complexity and provides insights into the different mutational processes that have shaped the human genome. These data provide the first high-resolution sequence map of human structural variation--a standard for genotyping platforms and a prelude to future individual genome sequencing projects.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Disruption of a GATA motif in the Duffy gene promoter abolishes erythroid gene expression in Duffy-negative individuals.

              The mRNA for the Duffy blood group antigen, the erythrocyte receptor for the Plasmodium vivax malaria parasite, has recently been cloned and shown to encode a widely expressed chemokine receptor. Here, we show that the Duffy antigen/chemokine receptor gene (DARC) is composed of a single exon and that most Duffy-negative blacks carry a silent FY*B allele with a single T to C substitution at nucleotide -46. This mutation impairs the promoter activity in erythroid cells by disrupting a binding site for the GATA1 erythroid transcription factor. With the recent characterization of the FY*A and FY*B alleles, these findings provide the molecular basis of the Duffy blood group system and an explanation for the erythroid-specific repression of the DARC gene in Duffy-negative individuals.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                January 2009
                January 2009
                30 January 2009
                : 5
                : 1
                : e1000360
                Affiliations
                [1 ]Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
                [2 ]Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
                [3 ]Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, United States of America
                [4 ]Laboratory of Epidemiology, Demography and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, United States of America
                [5 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
                [6 ]Jackson Heart Study Analysis Group, Jackson State University, Jackson, Mississippi, United States of America
                [7 ]Comparative Genomics Unit, Genome Technology Branch, National Human Genome Research Institute, Rockville, Maryland, United States of America
                [8 ]Division of Medical Genetics, Department of Medicine, Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America
                [9 ]Inherited Disease Research Branch, National Human Genome Research Institute, Baltimore, Maryland, United States of America
                [10 ]Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
                [11 ]Laboratory of Molecular Immunology, Center for Neurologic Disease, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
                [12 ]Department of Preventive Medicine, Center for Genomics and Bioinformatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
                [13 ]Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
                [14 ]Department of Medicine, Division of Hematology, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
                [15 ]Jackson State University, Jackson, Mississippi, United States of America
                [16 ]Tougaloo College, Jackson, Mississippi, United States of America
                [17 ]University of Mississippi Medical Center, Jackson, Mississippi, United States of America
                [18 ]Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
                [19 ]Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America
                [20 ]Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, United States of America
                [21 ]V.A. Medical Center, Jackson, Mississippi, United States of America
                [22 ]University of Mississippi Medical Center, Jackson, Mississippi, United States of America
                Queensland Institute of Medical Research, Australia
                Author notes

                Conceived and designed the experiments: DR EZ TBH JGW. Performed the experiments: DR MAN ELA AT AW JN JGW. Analyzed the data: DR MAN WHLK ELA AT NP JM ML JGW. Contributed reagents/materials/analysis tools: DR MAN WHLK ELA AT NP JM WCH CYC JC EB RL TSL LE JCF CLH JMZ HAT EZ TBH JGW. Wrote the paper: DR JGW.

                Article
                08-PLGE-RA-1151R3
                10.1371/journal.pgen.1000360
                2628742
                19180233
                f9fd9cec-8249-402a-b610-7a98942b3339
                This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
                History
                : 3 September 2008
                : 30 December 2008
                Page count
                Pages: 14
                Categories
                Research Article
                Genetics and Genomics
                Genetics and Genomics/Gene Discovery
                Genetics and Genomics/Population Genetics

                Genetics
                Genetics

                Comments

                Comment on this article