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What's the difference between genome-wide data and mitochondrial genomes?
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[QUOTE]Originally posted by xyyman: [QB] @ ELMaestro Yes. These are indigenous Africans. I agree it is surprising with the low levels of mtDNA L. But M1 and T etc are found as far south of Tanzania. Also interesting is the LACK of H1 and H3. Typical North African and "European" female markers. These were NOT European women. This data set also opposes the Armana data which were clearly SSA along with yDNA E. So obviously we have to rethink who or what is an Eurasian vs a SSA. Geographically this dataset of the "new kingdom" mummies is typical of Great Lakes Africans like Kenyans and, yes, Horners' Swenets favorite people. But undoubted these are not Europeans. As I said I would like to the see the STR data. Please, fools, do not respond. What are the STR profile of the New Kingdom mummies? Understand the game being played. The STR Profile of the New Kingdom mummies will show they are undoubtedly African. That is why they switched from STR to SNPs....FREQUENCY. ---- Multi-locus inference of population structure a comparison between single nucleotide polymorphisms and microsatellites R J Haas Although growing numbers of single nucleotide polymorphisms (SNPs) and microsatellites (short tandem repeat polymorphisms or STRPs) are used to infer population structure, their relative properties in this context remain poorly understood. SNPs and STRPs mutate differently, suggesting multi-locus genotypes at these loci might differ in ability to detect population structure. Here, we use coalescent simulations to [b]measure the power of sets of SNPs and STRPs to identify population structure[/b]. To maximize the applicability of our results to empirical studies, we focus on the popular STRUCTURE analysis and evaluate the role of several biological and practical factors in the detection of population structure. We find that (1) fewer unlinked STRPs than SNPs are needed to detect structure at recent divergence times greater than 0.3 Ne generations; (2) accurate estimation of the number of populations requires many fewer STRPs than SNPs; (3) for both marker types, declines in power due to modest gene flow (Nem=1.0) are largely negated by increasing marker number; (4) variation in the STRP mutational model affects power modestly; (5) SNP haplotypes (θ=1, no recombination) provide power comparable with STRP loci (θ=10); (6) [b]ascertainment schemes that select highly variable STRP or SNP loci increase power to detect structure[/b], though ascertained data may not be suitable to other inference; and (7) when samples are drawn from an admixed population and one of its parent populations, the reduction in power to detect two populations is greater for STRPs than SNPs. These results should assist the design of multi-locus studies to detect population structure in nature. [/QB][/QUOTE]
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