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1 e ancestry of each chromosomal segment in an admixed individual.
2  admixture times for each parent of a single admixed individual.
3 e ancestry at each point in the genome of an admixed individual.
4 ncestry estimation along the genome for each admixed individual.
5 nstrate its functionality with the data from admixed individuals.
6 ver genes influencing skin colour in African-admixed individuals.
7 re available for inferring local ancestry in admixed individuals.
8  across ancestrally distinct segments within admixed individuals.
9 irwise relatedness from genetic data between admixed individuals.
10  software has a capacity for analyzing 6-way admixed individuals.
11 y or used for genetic association studies in admixed individuals.
12 terns of ancestry segments in chromosomes of admixed individuals.
13 s classifier to infer the local ancestry for admixed individuals.
14  observation of ancestry switch points among admixed individuals.
15 spersed within the chromosomes of ethnically admixed individuals.
16 s polygenic components of gene expression in admixed individuals.
17 ly migrants to Africa, and non-native, breed-admixed individuals.
18  distinct subpopulations or a single pool of admixed individuals.
19 pulation of origin of chromosomal regions in admixed individuals.
20 ancestral origins of chromosomal segments in admixed individuals.
21 g hybrid zones, and identifying migrants and admixed individuals.
22 vel data and is thus naturally applicable to admixed individuals.
23 ssion-based method specifically designed for admixed individuals.
24 rtion from multiple ancestral populations in admixed individuals.
25 hod called SDPR_admix for calculating PRS in admixed individuals.
26 t addresses some of the unique challenges of admixed individuals.
27  linkage-disequilibrium reference panels for admixed individuals.
28 estry compared to random expectations in the admixed individuals.
29 structure but facing limitations in handling admixed individuals.
30 o mitigate disparities in PRS performance in admixed individuals.
31 latedness within ancestry components between admixed individuals.
32 netic ancestry clusters and did not consider admixed individuals.
33 s of genetic relationship matrix (GRM) among admixed individuals after masking segments from ancestry
34            By analyzing polymorphisms in the admixed individual against those seen in representatives
35 ferring ancestry along the chromosomes in an admixed individual and thereby delineating the ancestry
36  analysis including hundreds of thousands of admixed individuals and is universally applicable to var
37  infer ancestry deviations in the genomes of admixed individuals and to test for natural selection af
38 mpowering disease mapping studies in African-admixed individuals and will facilitate gene discovery f
39 ates of the genome-wide average ancestry for admixed individuals are consistent between exome sequenc
40 plications, data on diverse non-European and admixed individuals are still scarce.
41  ancestry of specific chromosomal regions in admixed individuals are useful for studies of human evol
42           The inference of local ancestry of admixed individuals at every locus provides the basis fo
43 e wildcats and investigating the ancestry of admixed individuals becomes thus a conservation priority
44 sweet orange, is the offspring of previously admixed individuals, but sour orange is an F1 hybrid of
45 this sense, the transitioning of loci across admixed individuals can be contrasted as a function of t
46           In sequence association studies of admixed individuals, cryptic relatedness and population
47                                        Among admixed individuals, deleterious haplotypes and their an
48 stry at each locus in the genome of recently admixed individuals (e.g., Latino Americans) plays a maj
49 mic fragments in genome-wide data for ~ 6000 admixed individuals from 10 American countries.
50  in whole blood and colorectal tissue of 132 admixed individuals from Colombia, we identified sites w
51 s consensus local ancestry calls in the real admixed individuals from the 1000 Genomes Project.
52 bank and the Biobank Japan as well as 44,348 admixed individuals from the PAGE consortium including c
53     Inferring the ancestry of each region of admixed individuals' genomes is useful in studies rangin
54 ares to assess the ancestral compositions of admixed individuals given a large set of populations.
55 that accounts for small reference panels for admixed individuals, heterogeneity across populations an
56 genetic architecture of complex diseases for admixed individuals, highlighting the need for further s
57 age, Tractor, to facilitate the inclusion of admixed individuals in association studies by leveraging
58 discovering selection signals, and including admixed individuals in genomic studies for improved equi
59 bspecies labels, we identify 90 suitable non-admixed individuals in the European Association of Zoos
60          We provide a local ancestry map for admixed individuals in the GTEx v8 release and describe
61 rediction of real traits in European-African admixed individuals in UK Biobank when trained on the Po
62 genetic ancestry at a genomic location of an admixed individual, is widely used as a genetic marker i
63 nalyze 38 complex traits in African-European admixed individuals (N = 53,001) to observe very high co
64 ntified 33% of all three genetic clusters as admixed individuals, of which most were either F2 hybrid
65                                              Admixed individuals offer unique opportunities for addre
66                                 Placement of admixed individuals on the landscape is more complicated
67                                              Admixed individuals pose a unique challenge for PRS calc
68 y admixed population, when the phase of each admixed individual's genotype relative to the pair of lo
69                             For studies with admixed individuals, such as within Latin America and th
70 ves better localization for both unmixed and admixed individuals than existing methods despite using
71 this overestimation is larger for samples of admixed individuals than for samples of unadmixed indivi
72 enome-wide assessment in African and African admixed individuals to better understand the genetic arc
73 comprehensive heritability-based analysis of admixed individuals to date.
74 xplore the use of local ancestry in recently admixed individuals to find signals of gene-gene interac
75 ry inherited from parental populations among admixed individuals to map associations for diseases, th
76 orrelation structure of both admixed and non-admixed individuals using simulated and real data.
77                 Dissecting local ancestry in admixed individuals, we find significantly smaller margi
78 two genetic clusters, within which the least admixed individuals were found in Europe/central Asia an
79   These issues pose a particular problem for admixed individuals whose genomes represent a mosaic of
80                             The genome of an admixed individual with ancestors from isolated populati
81 European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American anc
82 ntal ancestry without accommodating recently-admixed individuals with mosaic continental ancestry bac