Replication Data for: Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α3.7I form of α-thalassaemia using genome-wide microarray data

<p>This is a replication dataset for the submitted manuscript: <a href="https://doi.org/10.12688/wellcomeopenres.16320.1">"Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the α3.7I form of α-thalassaemia using genome-wide microarray data"</a>. </p>

<p>The dataset contains genotyped α-thalassemia mutations from more than 6,000 individuals from Kilifi, Kenya. These data along with their corresponding Illumina HumanOmni2.5-4 microarray data was used to investigate the haplotype structure of α-thalassemia deletion variants in the population, and the potential utility of a wide range of indirect GWAS-based approaches, including the microarray-chip intensity data and haplotype imputation, as an alternative to direct typing.</p>

<p><em><strong>Version notes: </strong>This revision was made following review of the primary manuscript related to this data package and includes 2 updated files and an additional data file with associated descriptions file.</em></p>

本数据集为已投稿手稿的复现数据集：<a href="https://doi.org/10.12688/wellcomeopenres.16320.1">《单倍型异质性与低连锁不平衡（linkage disequilibrium）降低全基因组微阵列数据（genome-wide microarray data）对α3.7I型α地中海贫血（α-thalassaemia）基因型的可靠预测能力》</a>。

本数据集包含来自肯尼亚基利菲地区6000余名个体的已基因分型α地中海贫血突变数据。上述数据与对应的Illumina HumanOmni2.5-4微阵列数据一同被用于研究该人群中α地中海贫血缺失变异的单倍型结构，以及包括微阵列芯片强度数据与单倍型填充（haplotype imputation）在内的多种间接全基因组关联分析（Genome-Wide Association Study, GWAS）方法作为直接基因分型替代方案的潜在应用价值。

<strong><em>版本说明：</em></strong>本次修订是在审阅本数据包相关的主手稿后完成的，包含2个更新后的文件以及1个附带描述文件的新增数据文件。