Great advances have been made recently in searching for individual identification single-nucleotide polymorphisms (IISNPs or IDSNPs). Such SNPs as suggested by SNPforID scientists and by Pakstis et al., are promising, although they were selected from older or smaller databases rather than the most recent database. Here, researchers describe a new computational strategy for developing IDSNPs based on HapMap. Researchers searched through HapMap r27 for SNPs having minor allele frequencies greater than 0.30 in all its 11 populations and found more than 1,881 qualified SNPs. Researchers examined 96 of them with 183 DNA samples from 3 Chinese populations using Illumina arrays. The average allele frequency for these 96 SNPs among the 3 populations was 0.495/0.505, the average number of identical SNP genotypes shared by two individuals among the 14 populations (three Chinese and 11 HapMap) was 37.9, and the random matching probability for two unrelated Hans to match in all 96 genotypes was 9.793 10-39. Thus, most of these 96 SNPs are universally applicable. Abstract published by arrangement with John Wiley & Sons.