Journal article
Genome-wide screen for universal individual identification SNPs based on the HapMap and 1000 Genomes databases
Scientific reports, Vol.8(1), pp.5553-6
04/03/2018
DOI: 10.1038/s41598-018-23888-0
PMID: 29615764
Abstract
Differences among SNP panels for individual identification in SNP-selecting and populations led to few common SNPs, compromising their universal applicability. To screen all universal SNPs, we performed a genome-wide SNP mining in multiple populations based on HapMap and 1000Genomes databases. SNPs with high minor allele frequencies (MAF) in 37 populations were selected. With MAF from >= 0.35 to >= 0.43, the number of selected SNPs decreased from 2769 to 0. A total of 117 SNPs with MAF >= 0.39 have no linkage disequilibrium with each other in every population. For 116 of the 117 SNPs, cumulative match probability (CMP) ranged from 2.01 x 10-48 to 1.93 x 10-50 and cumulative exclusion probability (CEP) ranged from 0.9999999996653 to 0.9999999999945. In 134 tested Han samples, 110 of the 117 SNPs remained within high MAF and conformed to Hardy-Weinberg equilibrium, with CMP = 4.70 x 10-47 and CEP = 0.999999999862. By analyzing the same number of autosomal SNPs as in the HID-Ion AmpliSeq Identity Panel, i.e. 90 randomized out of the 110 SNPs, our panel yielded preferable CMP and CEP. Taken together, the 110-SNPs panel is advantageous for forensic test, and this study provided plenty of highly informative SNPs for compiling final universal panels.
Details
- Title: Subtitle
- Genome-wide screen for universal individual identification SNPs based on the HapMap and 1000 Genomes databases
- Creators
- Erwen Huang - Sun Yat-sen UniversityChanghui Liu - Sun Yat-sen UniversityJingjing Zheng - Sun Yat-sen UniversityXiaolong Han - Sun Yat-sen UniversityWeian Du - Southern Medical UniversityYuanjian Huang - Homy Genetech Inc, Foshan 52800, Guangdong, Peoples R ChinaChengshi Li - Sun Yat-sen UniversityXiaoguang Wang - Sun Yat-sen UniversityDayue Tong - Sun Yat-sen UniversityXueling Ou - Sun Yat-sen UniversityHongyu Sun - Sun Yat-sen UniversityZhaoshu Zeng - Zhengzhou UniversityChao Liu - Sun Yat-sen University
- Resource Type
- Journal article
- Publication Details
- Scientific reports, Vol.8(1), pp.5553-6
- DOI
- 10.1038/s41598-018-23888-0
- PMID
- 29615764
- ISSN
- 2045-2322
- eISSN
- 2045-2322
- Publisher
- NATURE PORTFOLIO
- Number of pages
- 6
- Grant note
- 2014A030313127 / Natural Science Foundation of Guangdong Province; National Natural Science Foundation of Guangdong Province
- Language
- English
- Date published
- 04/03/2018
- Academic Unit
- Internal Medicine
- Record Identifier
- 9985177947102771
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