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Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ­α 3.7I form of α-thalassaemia using genome-wide microarray data.
Ndila, Carolyne M; Nyirongo, Vysaul; Macharia, Alexander W; Jeffreys, Anna E; Rowlands, Kate; Hubbart, Christina; Busby, George B J; Band, Gavin; Harding, Rosalind M; Rockett, Kirk A; Williams, Thomas N.
Afiliação
  • Ndila CM; Department of Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, PO BOX 230-80108, Kenya.
  • Nyirongo V; United Nation Statistics Division, United Nations, New York, New York, 10017, USA.
  • Macharia AW; Department of Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, PO BOX 230-80108, Kenya.
  • Jeffreys AE; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, OX3 7BN, UK.
  • Rowlands K; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, OX3 7BN, UK.
  • Hubbart C; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, OX3 7BN, UK.
  • Busby GBJ; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, OX3 7BN, UK.
  • Band G; Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, Oxfordshire, OX3 7LF, UK.
  • Harding RM; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, OX3 7BN, UK.
  • Rockett KA; Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.
  • Williams TN; Departments of Zoology and Statistics, University of Oxford, Oxford, Oxfordshire, OX1 3SZ, UK.
Wellcome Open Res ; 5: 287, 2020.
Article em En | MEDLINE | ID: mdl-34632085
ABSTRACT

Background:

The -α 3.7I-thalassaemia deletion is very common throughout Africa because it protects against malaria. When undertaking studies to investigate human genetic adaptations to malaria or other diseases, it is important to account for any confounding effects of α-thalassaemia to rule out spurious associations.

Methods:

In this study we have used direct α-thalassaemia genotyping to understand why GWAS data from a large malaria association study in Kilifi Kenya did not identify the α-thalassaemia signal. We then explored the potential use of a number of new approaches to using GWAS data for imputing α-thalassaemia as an alternative to direct genotyping by PCR.

Results:

We found very low linkage-disequilibrium of the directly typed data with the GWAS SNP markers around α-thalassaemia and across the haemoglobin-alpha ( HBA) gene region, which along with a complex haplotype structure, could explain the lack of an association signal from the GWAS SNP data. Some indirect typing methods gave results that were in broad agreement with those derived from direct genotyping and could identify an association signal, but none were sufficiently accurate to allow correct interpretation compared with direct typing, leading to confusing or erroneous results.

Conclusions:

We conclude that going forwards, direct typing methods such as PCR will still be required to account for α-thalassaemia in GWAS studies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article