Literature DB >> 28438553

Human leukocyte antigen class I (A, B and C) allele and haplotype variation in a South African Mixed ancestry population.

Shayne Loubser1, Maria Paximadis1, Caroline T Tiemessen2.   

Abstract

South Africa has a large (∼53million), ethnically diverse population (black African, Caucasian, Indian/Asian and Mixed ancestry) and a high disease burden (particularly HIV-1 and Mycobacterium tuberculosis). The Mixed ancestry population constitutes ∼9% of the total population and was established ∼365years ago in the Western Cape region through interracial mixing of black Africans, Europeans and Asians. Admixed populations present unique opportunities to identify genetic factors involved in disease susceptibility. Since HLA genes are important mediators of host immunity, we investigated HLA-A, -B and -C allele and haplotype diversity in 50 healthy, unrelated individuals recruited from the Mixed ancestry population.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Coloured; HLA alleles; HLA haplotypes; Mixed ancestry; South African population

Mesh:

Substances:

Year:  2017        PMID: 28438553      PMCID: PMC5451074          DOI: 10.1016/j.humimm.2017.04.006

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


South Africa, located at the most southerly tip of Africa, has a unique demographic history and ethnic diversity, due to extensive migration of people from the northern parts of Africa and also via oceanic trade-routes between the West and the East. The southern African region was first populated by the Khoi-San, before Bantu-speaking tribes migrated into the area ∼2000 years ago. European colonisation of the Western Cape region began in the mid-1600′s and included Dutch, German, English and French settlers as well as slave labour imported from Indonesia, India, Madagascar and East Africa. The South African Mixed ancestry (SAM) or “Coloured” population was established through interracial mixing of Europeans, slaves and the indigenous Khoi-San and Xhosa tribes. In 2013, the South African population was recorded at 52,982,000 individuals, divided into four major population groups (black African, Caucasian, Indian/Asian and Mixed ancestry) (statssa.gov.za/publications/P0302/P03022013.pdf). The predominantly Afrikaans (afr)-speaking SAM population (∼80%), but also English (eng)-speaking, mostly reside in the Western Cape Province and constitute ∼9% of the total population [1]. Several genetic studies interrogating autosomes agree with historical records of early Western Cape demographics that contributed to the genetic admixture of the SAM population [1], [2], [3], [4], [5]. Mitochondrial DNA and Y-chromosome analyses also confirm at least five genetically distinct lineages involving Khoi-San, Bantu, European, Indian and Southeast Asian sources, and further reveal a gender biased admixture showing enrichment of Khoi-San maternally inherited mitochondrial DNA, while Y-chromosomes originated primarily from European and African males [3], [6]. HIV-1 and Mycobacterium tuberculosis (Mtb) infection are the most common infectious diseases and leading causes of death in South Africa. In the SAM population, HIV-1 prevalence was 3.1% in 2012, well below the national prevalence of 12.2% (hsrc.ac.za/en/research-outputs/view/6871), while in 2013, Mtb was the second leading cause of death (7.1%) (statssa.gov.za/publications/P03093/P030932013.pdf). Differential susceptibility to infectious diseases suggests a role for host immunogenetic factors. Indeed, specific HLA alleles associate with both Mtb [7] and HIV-1 infection [8]. We investigated HLA-A, -B and -C allele and haplotype variation in 50 healthy, unrelated individuals recruited from the SAM population. Buffy coats stored at −80 °C were available for 40 individuals from the Electricity Supply Commission (ESKOM) cohort [9], while an additional 10 volunteers were recruited from staff/students at the National Institute for Communicable Diseases, the University of the Witwatersrand (WITS) Medical School and the WITS Donald Gordon Medical Centre in Johannesburg. Ethnicity was self-determined by each participant and signed consent was also obtained. Ethics approval was granted by the Human Research Ethics Committee (Medical) of the WITS medical faculty. Genomic DNA was extracted from buffy coats or fresh whole blood using the QiaAmp DNA blood mini kit (Qiagen, Hilden, Germany) and quantified using a nanodrop spectrophotometer (Thermo Scientific, Waltham, USA). The sequence-based typing (SBT) resolver kit (Conexio Genomics, Fremantle, Australia) was used to generate HLA-A, -B and -C amplicons for DNA sequencing as described by the manufacturers. PCR products were purified using Agencourt Ampure XP magnetic bead separation (Becton-Dickenson, Franklin lakes, USA). Sequence products were generated using the BigDye terminator v3.1 cycle sequencing kit (Life Technologies, Carlsbad, USA), purified using ethanol-sodium acetate precipitation and resolved on an ABI3100 PRISM Genetic Analyser (Life Technologies, Carlsbad, USA). Alleles were assigned using ASSIGN-SBT v4.7 software (Conexio Genomics, Fremantle, Australia) and v3.13.1.4 of the IPD-IMGT/HLA reference database released on July 25, 2013. No additional molecular-based methods were employed to resolve ambiguities, however, the following steps were taken to exclude unlikely allele combinations from the ambiguity list: (i) analysis using the SBT software was initially used interrogate differences in exons 1–4 for HLA-A/B and exons 1–8 for HLA-C, (ii) since partial 5′UTR and introns 1,2 for HLA-A/B and partial 5′UTR, introns 1,2,4–7 and partial 3′UTR sequences were also generated, these differences could also be analysed by manual editing using the SBT software, (iii) likely allele combinations were based on “Common” and “Well-Documented” alleles listed in version 2.0.0 of the “Common and Well-Documented HLA alleles catalogue” updated in 2012 [10], (iv) in some cases, other studies investigating the same population [7] or ancestral populations such as South African black and Caucasian populations [9] were consulted and finally, (v) haplotype data available on the Allele Frequency Net Database (AFND) was also used to confirm linkage of HLA-A, -B and -C alleles [11]. Allele frequencies, haplotypes and deviations from Hardy-Weinberg equilibrium were calculated using the PyPop-Win32-0.7.0 software program available online (www.pypop.org) [12]. Overall, no deviations from Hardy-Weinberg equilibrium were detected at HLA-A, -B and -C loci (p = 0.1852, p = 0.4713 and p = 0.3362, respectively). The number of unique HLA-A, -B and -C alleles identified was n = 24, n = 43 and n = 25, respectively (Table S1). HLA-A*02:01:01:01, -B*07:02:01 and -C*06:02:01:01 were the most common alleles detected at frequencies of 0.21, 0.08 and 0.12, respectively (Table S1). HLA-A*03:01:01:01-B*07:02:01-C*07:02:01:01 was the most common haplotype detected at a frequency of 0.04, from a total of 81 unique haplotypes identified (Table S2). The SAM population is a relatively understudied ethnic group of South Africa, and this report may contribute to a better understanding of disease susceptibility related to immune function. Data has been deposited in the AFND database under the identifier 3395.
  12 in total

1.  Human leukocyte antigen class I (A, B, C) and II (DRB1) diversity in the black and Caucasian South African population.

Authors:  Maria Paximadis; Tiyani Y Mathebula; Nikki L Gentle; Eftyhia Vardas; Mark Colvin; Clive M Gray; Caroline T Tiemessen; Adrian Puren
Journal:  Hum Immunol       Date:  2011-10-23       Impact factor: 2.850

2.  Strong maternal Khoisan contribution to the South African coloured population: a case of gender-biased admixture.

Authors:  Lluis Quintana-Murci; Christine Harmant; Hélène Quach; Oleg Balanovsky; Valery Zaporozhchenko; Connie Bormans; Paul D van Helden; Eileen G Hoal; Doron M Behar
Journal:  Am J Hum Genet       Date:  2010-03-25       Impact factor: 11.025

3.  PyPop update--a software pipeline for large-scale multilocus population genomics.

Authors:  A K Lancaster; R M Single; O D Solberg; M P Nelson; G Thomson
Journal:  Tissue Antigens       Date:  2007-04

Review 4.  The impact of host genetic variation on infection with HIV-1.

Authors:  Paul J McLaren; Mary Carrington
Journal:  Nat Immunol       Date:  2015-06       Impact factor: 25.606

5.  Genetic structure of a unique admixed population: implications for medical research.

Authors:  Nick Patterson; Desiree C Petersen; Richard E van der Ross; Herawati Sudoyo; Richard H Glashoff; Sangkot Marzuki; David Reich; Vanessa M Hayes
Journal:  Hum Mol Genet       Date:  2009-11-05       Impact factor: 6.150

6.  Allele frequency net: a database and online repository for immune gene frequencies in worldwide populations.

Authors:  Faviel F Gonzalez-Galarza; Stephen Christmas; Derek Middleton; Andrew R Jones
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

7.  Genome-wide analysis of the structure of the South African Coloured Population in the Western Cape.

Authors:  Erika de Wit; Wayne Delport; Chimusa E Rugamika; Ayton Meintjes; Marlo Möller; Paul D van Helden; Cathal Seoighe; Eileen G Hoal
Journal:  Hum Genet       Date:  2010-05-20       Impact factor: 5.881

8.  MtDNA control region variation affirms diversity and deep sub-structure in populations from southern Africa.

Authors:  Carina M Schlebusch; Marlize Lombard; Himla Soodyall
Journal:  BMC Evol Biol       Date:  2013-02-27       Impact factor: 3.260

9.  Determining ancestry proportions in complex admixture scenarios in South Africa using a novel proxy ancestry selection method.

Authors:  Emile R Chimusa; Michelle Daya; Marlo Möller; Raj Ramesar; Brenna M Henn; Paul D van Helden; Nicola J Mulder; Eileen G Hoal
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

10.  A panel of ancestry informative markers for the complex five-way admixed South African coloured population.

Authors:  Michelle Daya; Lize van der Merwe; Ushma Galal; Marlo Möller; Muneeb Salie; Emile R Chimusa; Joshua M Galanter; Paul D van Helden; Brenna M Henn; Chris R Gignoux; Eileen Hoal
Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

View more
  1 in total

1.  High Resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1, and ∼DQB1 Diversity in South African Populations.

Authors:  Mqondisi Tshabalala; Juanita Mellet; Kuben Vather; Derrick Nelson; Fathima Mohamed; Alan Christoffels; Michael S Pepper
Journal:  Front Genet       Date:  2022-03-04       Impact factor: 4.599

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.