Searching journal content for articles similar to Sankararaman et al. 18 (4): 668.

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  1. ..., characterizing ancestry as a set of discrete, predefined labels can be limiting, as individuals are at some level all admixed, stemming from ancestors belonging to multiple ancestral population groups (Supplemental Methods S1). For instance, the s of numerous African-Americans have variable proportions...
  2. ...in the non-African population for each position (gray line). (C) Reference-free methods do not rely on an archaic reference to infer introgressed segments. Instead, they use a control panel with negligible introgressed ancestry (e.g., Africans) and a target panel hypothesized to have received introgression...
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  3. ...knowledge about the population for which ancestry inference is required (Supplemental Methods; Supplemental Fig. S14). Although some methods (Zhang et al. 2008; Chen et al. 2013; Bansal and Libiger 2015), such as SNPweights and iAdmix, can estimate ancestry without determining an optimal K value by relying...
  4. ...significantly improved our ability to infer ancestries. However, these methods typically work with a fixed number of independent ancestral populations. As a result, they provide insight into genetic admixture, but do not include a hierarchical interpretation. In particular, the intricate ancestral population...
  5. ...inference without requiring phased data or a prior window size definition (Guan 2014). ELAI can also infer an unsampled reference population based on allele frequencies of the admixed population (Seixas et al. 2018). Given the absence of a true Iberian wolf reference population, we ran ELAI considering...
  6. ...population structure, which have inferred that the Q1 (Bedouin) s have the greatest proportion of Arab genetic ancestry, even when compared to Bedouins from outside Qatar and to Arabs in surrounding countries, including Yemen and Saudi Arabia (Hodgson et al. 2014; Shriner et al. 2014). To confirm a similarly...
  7. ...that Equation 3 is monotonically increasing with g, whereas Equation 4 is monotonically decreasing with g. As the true admixing sources A and B are unknown, we instead consider the probability that two segments separated by distance g are inferred to share most recent ancestry with reference populations U and V...
  8. ...for the identification of genomic regions harboring disease susceptibility genes in recently admixed populations. We develop an information-theory-based measure, called expected mutual information (EMI), which computes the impact of a set of markers on the ability to infer ancestry at each chromosomal location. We...
  9. ..., and genotype QC (Chen et al. 2024), including ancestry outlier removal (Methods) (Supplemental Table S2), we identified 153,894,851 high-quality variants across 4094 individuals, 3400 of whom are inferred to be unrelated (Methods) (Supplemental Table S3). We computed the mean coverage within each population...
  10. ...to African, and three individuals similar to admixed populations from The 1000 Genomes Project (Fig. 1A; Supplemental Fig. 1; Supplemental Table 1; The 1000 Genomes Project Consortium 2015). We generated an average of 85 million high-quality aligned ATAC-seq read pairs per individual (Supplemental Tables 2...
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