Raymond T. Yeh

TL;DR: This high-density SNP map provides a public resource for defining haplotype variation across the genome, and should help to identify biomedically important genes for diagnosis and therapy.

TL;DR: In this paper, the authors used bulked segregant analysis (BSA) to identify 6,222 single nucleotide polymorphisms (SNPs) modifying restriction enzyme recognition sites ('snip-SNPs'), which are easily detected as RFLPs.

TL;DR: A unified approach to the discovery of variations in genetic sequence data of arbitrary DNA sources is presented, using the rapidly emerging genomic sequence as a template on which to layer often unmapped, fragmentary sequence data and to use base quality values to discern true allelic variations from sequencing errors.

TL;DR: A survey of more than 1,200 SNPs indicates that more than 80% of TSC and Washington University candidate SNPs are polymorphic and that approximately 50% of the candidateSNPs from these two sources are common SNPs (with minor allele frequency of ≥20%) in any given population.

TL;DR: The history of the population represented by the public genome sequence is one of collapse followed by a recent phase of mild size recovery, and the inferred times of collapse and recovery are Upper Paleolithic, in agreement with archaeological evidence of the initial modern human colonization of Europe.