Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA.
BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S154. doi: 10.1186/1471-2156-6-S1-S154.
Genetic Analysis Workshop 14 provided re-genotyped single-nucleotide polymorphism (SNP) data. Specifically, both Center for Inherited Disease Research (CIDR) and Affymetrix genotyped the same 11,560 SNPs from the Affymetrix GeneChip Mapping 10K Array marker set on the same 184 individuals from the Collaborative Study on the Genetics of Alcoholism database. While the inconsistency rate between CIDR and Affymetrix (two different genotypes for the same subject) was low (0.2%), the non-replication rate (two different genotypes for the same subject or one identified genotype and one missing genotype) was substantial (9.5%). The missing data could be from no-call regions, which is inconsistent with recent recommendations about the use of no-call regions in association tests. In addition, no-call regions would suggest that the actual inconsistency rate is higher than reported. A high inconsistency rate has significant impact on power in related hypothesis tests. In addition, the data are consistent with assumptions made in a recently proposed likelihood ratio test of association for re-genotyped data.
遗传分析研讨会 14 提供了重新基因分型的单核苷酸多态性 (SNP) 数据。具体来说,CIDR 和 Affymetrix 都对来自酒精遗传协作研究数据库的 184 名个体的 Affymetrix GeneChip Mapping 10K Array 标记集中的 11560 个 SNP 进行了基因分型。虽然 CIDR 和 Affymetrix(同一主题的两种不同基因型)之间的不一致率较低(0.2%),但非复制率(同一主题的两种不同基因型或一种确定的基因型和一种缺失的基因型)相当高(9.5%)。缺失的数据可能来自无呼叫区域,这与最近关于在关联测试中使用无呼叫区域的建议不一致。此外,无呼叫区域表明实际的不一致率高于报告的不一致率。高不一致率对相关假设检验的功效有重大影响。此外,这些数据与最近提出的用于重新基因分型数据关联的似然比检验的假设一致。