Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms.
Genotype imputation is potentially a zero-cost method for bridging gaps in coverage and power between genotyping platforms. Here, we quantify these gains in power and coverage by using 1,376 population controls that are from the 1958 British Birth Cohort and were genotyped by the Wellcome Trust Case...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2008
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| _version_ | 1826262054103678976 |
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| author | Anderson, C Pettersson, F Barrett, J Zhuang, J Ragoussis, J Cardon, L Morris, A |
| author_facet | Anderson, C Pettersson, F Barrett, J Zhuang, J Ragoussis, J Cardon, L Morris, A |
| author_sort | Anderson, C |
| collection | OXFORD |
| description | Genotype imputation is potentially a zero-cost method for bridging gaps in coverage and power between genotyping platforms. Here, we quantify these gains in power and coverage by using 1,376 population controls that are from the 1958 British Birth Cohort and were genotyped by the Wellcome Trust Case-Control Consortium with the Illumina HumanHap 550 and Affymetrix SNP Array 5.0 platforms. Approximately 50% of genotypes at single-nucleotide polymorphisms (SNPs) exclusively on the HumanHap 550 can be accurately imputed from direct genotypes on the SNP Array 5.0 or Illumina HumanHap 300. This roughly halves differences in coverage and power between the platforms. When the relative cost of currently available genome-wide SNP platforms is accounted for, and finances are limited but sample size is not, the highest-powered strategy in European populations is to genotype a larger number of individuals with the HumanHap 300 platform and carry out imputation. Platforms consisting of around 1 million SNPs offer poor cost efficiency for SNP association in European populations. |
| first_indexed | 2024-03-06T19:30:18Z |
| format | Journal article |
| id | oxford-uuid:1d37de02-0eef-4d5b-a761-1d3549b0472a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T19:30:18Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:1d37de02-0eef-4d5b-a761-1d3549b0472a2022-03-26T11:09:41ZEvaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1d37de02-0eef-4d5b-a761-1d3549b0472aEnglishSymplectic Elements at Oxford2008Anderson, CPettersson, FBarrett, JZhuang, JRagoussis, JCardon, LMorris, AGenotype imputation is potentially a zero-cost method for bridging gaps in coverage and power between genotyping platforms. Here, we quantify these gains in power and coverage by using 1,376 population controls that are from the 1958 British Birth Cohort and were genotyped by the Wellcome Trust Case-Control Consortium with the Illumina HumanHap 550 and Affymetrix SNP Array 5.0 platforms. Approximately 50% of genotypes at single-nucleotide polymorphisms (SNPs) exclusively on the HumanHap 550 can be accurately imputed from direct genotypes on the SNP Array 5.0 or Illumina HumanHap 300. This roughly halves differences in coverage and power between the platforms. When the relative cost of currently available genome-wide SNP platforms is accounted for, and finances are limited but sample size is not, the highest-powered strategy in European populations is to genotype a larger number of individuals with the HumanHap 300 platform and carry out imputation. Platforms consisting of around 1 million SNPs offer poor cost efficiency for SNP association in European populations. |
| spellingShingle | Anderson, C Pettersson, F Barrett, J Zhuang, J Ragoussis, J Cardon, L Morris, A Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title | Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title_full | Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title_fullStr | Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title_full_unstemmed | Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title_short | Evaluating the effects of imputation on the power, coverage, and cost efficiency of genome-wide SNP platforms. |
| title_sort | evaluating the effects of imputation on the power coverage and cost efficiency of genome wide snp platforms |
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