text: single-nucleotide polymorphism (SNP) markers, but this informa- 
  tion has not been accessible in combination with the advantages of 
  *f*-statistics2,6,25,26. Furthermore, the overwhelming majority of available 
  aDNA is from a panel of 1.2 million SNPs27, and few clear advantages 
  have been demonstrated for analysis of the more than 50 million SNPs 
  available with whole-genome shotgun data. 
  
  One class of methods that use haplotype information is full genea- 
  logical tree inference28,29, which can now readily be applied to many 
  thousands of modern and ancient whole genomes30–35. Such meth- 
  ods have been successfully applied to boost the detection of positive 
  selection32,36–38, population structure31,33,35,39, geographical locations of 
  ancestors34,40, demography31,32 and mutation rate changes31. Genealogi- 
  cal trees can be thought of as containing essentially full, time-resolved 
  information about genetic ancestry, including information typically 
  captured by recent haplotype sharing or identity by descent. Genetic 
  ancestry here refers to the full collection of genetic ancestors of indi- 
  viduals41, and genealogical trees reveal how and when these are shared 
  across individuals. By contrast, rare variant ascertainment, haplotypes 
  or chromosome blocks can be thought of as subsets or summaries of 
  the information available in genealogies. 