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
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a replication dataset for the submitted manuscript: 'Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the  α3.7I form of α-thalassaemia using genome-wide microarray data'.  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.Version notes: This revision was made' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Classification and Regression Tree","GWAS","haplotypes","Malaria","multinomial regression-model","Predictive Models","α-thalassemia"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This is a replication dataset for the submitted manuscript: 'Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the  α3.7I form of α-thalassaemia using genome-wide microarray data'.  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.Version notes: This revision was made' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This is a replication dataset for the submitted manuscript: 'Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the  α3.7I form of α-thalassaemia using genome-wide microarray data'.  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.Version notes: This revision was made
Classification and Regression Tree; GWAS; haplotypes; Malaria; multinomial regression-model; Predictive Models; α-thalassemia