SNPs for a universal individual identification panel.

An efficient method to uniquely identify every individual would have value in quality control and sample tracking of large collections of cell lines or DNA as is now often the case with whole genome association studies. Such a method would also be useful in forensics. SNPs represent the best markers for such purposes. We have developed a globally applicable resource of 92 SNPs for individual identification (IISNPs) with extremely low probabilities of any two unrelated individuals from anywhere in the world having identical genotypes. The SNPs were identified by screening over 500 likely/candidate SNPs on samples of 44 populations representing the major regions of the world. All 92 IISNPs have an average heterozygosity [0.4 and the F(st) values are all\0.06 on our 44 populations making these a universally applicable panel irrespective of ethnicity or ancestry. No significant linkage disequilibrium (LD) occurs for all unique pairings of 86 of the 92 IISNPs (median LD = 0.011) in all of the 44 populations. The remaining 6 IISNPs show strong LD in most of the 44 populations for a small subset (7) of the unique pairings in which they occur due to close linkage. 45 of the 86 SNPs are spread across the 22 human autosomes and show very loose or no genetic linkage with each other. These 45 IISNPs constitute an excellent panel for individual identification including paternity testing with associated probabilities of individual genotypes less than 10(-15), smaller than achieved with the current panels of forensic markers. This panel also improves on an interim panel of 40 IISNPs previously identified using 40 population samples. The unlinked status of the subset of 45 SNPs we have identified also makes them useful for situations involving close biological relationships. Comparisons with random sets of SNPs illustrate the greater discriminating power, efficiency, and more universal applicability of this IISNP panel to populations around the world. The full set of 86 IISNPs that do not show LD can be used to provide even smaller genotype match probabilities in the range of 10(-31)-10(-35) based on the 44 population samples studied.

Patterns of linkage disequilibrium between SNPs in a Sardinian population isolate and the selection of markers for association studies.

OBJECTIVE: In isolated populations, 'background' linkage disequilibrium (LD) has been shown to extend over large genetic distances. This and their reduced environmental and genetic heterogeneity has stimulated interest in their potential for association mapping. We compared LD unit map distances with pair-wise measurements of LD in a dense single nucleotide polymorphism (SNP) set. METHODS: We genotyped 771 SNPs in an 8 Mb segment of chromosome 22 on 101 individuals from the isolated village of Talana, Sardinia, and compared with outbred European populations. RESULTS: Heterozygosity was remarkably similar in both populations. In contrast, the extent of LD observed was quite different. The decay of LD with distance is slower in the isolate. The differences in LD map lengths suggest that useful LD extends up to three times farther in the Sardinian population; smaller differences are seen with pairwise LD metrics. While LD map length slightly decreases with average relatedness, cryptic relatedness does not explain the decrease in LD map length. Haplotypes, block boundaries, and patterns of LD are similar in both populations, suggesting a shared distribution of recombination hotspots. CONCLUSIONS: About 15% fewer haplotype tagging SNPs need to be genotyped in the isolate, and possibly 70% fewer if selecting SNPs evenly spaced on the metric LD map.

Analytical Validation of a Next-Generation Sequencing Assay to Monitor Immune Responses in Solid Tumors.

We have developed a next-generation sequencing assay to quantify biomarkers of the host immune response in formalin-fixed, paraffin-embedded (FFPE) tumor specimens. This assay aims to provide clinicians with a comprehensive characterization of the immunologic tumor microenvironment as a guide for therapeutic decisions on patients with solid tumors. The assay relies on RNA-sequencing (seq) to semiquantitatively measure the levels of 43 transcripts related to anticancer immune responses and 11 transcripts that reflect the relative abundance of tumor-infiltrating lymphocytes, as well as on DNA-seq to estimate mutational burden. The assay has a clinically relevant 5-day turnaround time and can be conducted on as little as 2.5 ng of RNA and 1.8 ng of genomic DNA extracted from three to five standard FFPE sections. The standardized next-generation sequencing workflow produced sequencing reads adequate for clinical testing of matched RNA and DNA from several samples in a single run. Assay performance for gene-specific sensitivity, linearity, dynamic range, and detection threshold was estimated across a wide range of actual and artificial FFPE samples selected or generated to address preanalytical variability linked to specimen features (eg, tumor-infiltrating lymphocyte abundance, percentage of necrosis), and analytical variability linked to assay features (eg, batch size, run, day, operator). Analytical precision studies demonstrated that the assay is highly reproducible and accurate compared with established orthogonal approaches.

A second-generation combined linkage physical map of the human genome.

We have completed a second-generation linkage map that incorporates sequence-based positional information. This new map, the Rutgers Map v.2, includes 28,121 polymorphic markers with physical positions corroborated by recombination-based data. Sex-averaged and sex-specific linkage map distances, along with confidence intervals, have been estimated for all map intervals. In addition, a regression-based smoothed map is provided that facilitates interpolation of positions of unmapped markers on this map. With nearly twice as many markers as our first-generation map, the Rutgers Map continues to be a unique and comprehensive resource for obtaining genetic map information for large sets of polymorphic markers.