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1 lation structure in a simulated case-control admixed population.
2 espite boasting the world's largest recently admixed population.
3 ed founders) right after the formation of an admixed population.
4  and time-consuming ancestry inference in an admixed population.
5 tcome characteristics of breast cancer in an admixed population.
6 res from genotype-based methods in three-way admixed population.
7 nteraction can influence disease risk in the admixed population.
8 nd Asia rather than settlement by an already admixed population.
9 vious cardiovascular event) and 1 study with admixed population.
10 d's feral chickens are a highly variable and admixed population.
11 etween mean fitness of immigrants and in the admixed population.
12  local genetic ancestry of individuals in an admixed population.
13 lation and further extend it to generate the admixed population.
14  of locus-specific ancestry, when applied to admixed populations.
15 the divergence time and migration history of admixed populations.
16  targeting influential genetic parameters in admixed populations.
17 lation stratification observed in studies of admixed populations.
18 on is compulsory for association analyses in admixed populations.
19  between allele frequencies in unadmixed and admixed populations.
20  of candidate genes and analyses of recently admixed populations.
21 on genetic markers sampled from parental and admixed populations.
22 dividual genotyping in both the parental and admixed populations.
23 erefore could be a useful test of linkage in admixed populations.
24 on is how long beneficial effects persist in admixed populations.
25 itecture inference, and polygenic scoring in admixed populations.
26 enetic correlations across ancestries and in admixed populations.
27 ch that simplifies kinship estimation in the admixed populations.
28 toolkit and pipeline for genetic analyses of admixed populations.
29 pings that may obscure variation in recently admixed populations.
30 the special challenges of genetic studies of admixed populations.
31 analyze genetic data for complex traits from admixed populations.
32  ancestry inference, highlighting its use in admixed populations.
33 proach to identify the genetic ancestries in admixed populations.
34 ower for rare variant association mapping in admixed populations.
35 he prediction accuracy of DNA methylation in admixed populations.
36 netic underpinnings of complex traits in the admixed populations.
37 ta usability, especially for understudied or admixed populations.
38 tor' that is not biased in structured and/or admixed populations.
39 ful method for advancing genetics studies of admixed populations.
40 which was rare in non-African or non-African admixed populations.
41 elpful for improving polygenic prediction in admixed populations.
42  for informing best practices for LAI across admixed populations.
43 ating a need to improve our understanding of admixed populations.
44 GWAS were followed up for replication in the admixed populations.
45  could contribute to phenotypic variation in admixed populations.
46 netic architecture of quantitative traits in admixed populations.
47 ls where different types of mtDNA coexist in admixed populations.
48 ontribute to complex diseases in genetically admixed populations.
49 orical structure in the ancestry of American admixed populations.
50 ilable) and women of heterogeneous origin or admixed populations.
51 he difficulty in replicating associations in admixed populations.
52 d identifying tracts of distinct ancestry in admixed populations.
53 ng probabilities and kinship coefficients in admixed populations.
54  likely exists, e.g., samples collected from admixed populations.
55 or performing genetic association studies in admixed populations.
56 nformative markers for assessing ancestry in admixed populations.
57 l ancestry in genetic association studies of admixed populations.
58 ure population genetic studies of additional admixed populations.
59 satellite markers in 249 individuals from 13 admixed populations across Latin America.
60 nstrate the methods by using data from three admixed populations--African American, African Caribbean
61 TL4-ARHGAP28 genomic region was confirmed in admixed populations, although a different variant was id
62                                       For an admixed population, an important question is how much ge
63 the parental ethnicities contributing to the admixed population and (b) an understanding of the exten
64                               Results for an admixed population and a phenotype strongly confounded w
65 ions, the genetic drift that occurred to the admixed population and each parental population during t
66 of marker allele frequencies in the current, admixed population and in one of the founding population
67                                           An admixed population and its ancestral populations bear di
68 ence; and (7) when samples are drawn from an admixed population and one of its parent populations, th
69 um (LD) between binary markers in a recently admixed population and use a generalized least-squares m
70 o thousands of individuals from a putatively admixed population and, hence, is applicable to emerging
71 egulation across genetically distinct and in admixed populations and highlight the need for performin
72 led type I error rates, even when applied to admixed populations and populations with substructure.
73          However, the distribution of ROH in admixed populations and their relationship to deleteriou
74  for genome-wide association study (GWAS) in admixed populations and various simulation studies have
75 vidence of mitonuclear interactions in human admixed populations and we discuss their implications fo
76 two founding populations are assumed for the admixed population, and have found that if there is rand
77 ntly contributes to NMO susceptibility in an admixed population, and is consistent with differences i
78 somatic alterations in OpSCC samples from an admixed population, and to test for association with cli
79 or innovative strategies in studying complex admixed populations, and confirm the role of the HLA-II
80  association studies, association studies in admixed populations, and homozygosity mapping studies.
81 mbination rates, inferring local ancestry in admixed populations, and importance sampling of coalesce
82 on external information, reduced accuracy in admixed populations, and most notably, an inability to a
83              Association studies in recently admixed populations are extremely useful to identify the
84 to several human data sets and show that the admixed populations are indeed substantially related, im
85                                              Admixed populations are routinely excluded from genomic
86               Genetic association studies in admixed populations are underrepresented in the genomics
87                                    New World admixed populations are unique in that they represent th
88  "standard admixture" model that assumes the admixed populations are unrelated and also a generalized
89                                              Admixed populations arise when two or more previously is
90 enetic substructure of a unique and recently admixed population arising approximately 350 years ago a
91 tween FY and AT3 emphasize the importance of admixed populations as a useful resource for mapping tra
92 s have shown these now feral chickens are an admixed population between Red Junglefowl (RJF) and dome
93                       We generated replicate admixed populations between two pairs of sister species
94 enetic diversity, a sign of an older or more admixed population but not of a long-term isolate.
95 dmix'em is designed to simulate selection in admixed populations but can also be used as a general po
96 ators in simulated panmictic, structured and admixed populations, but has lower accuracy when the ind
97  estimate h(2) from unrelated individuals in admixed populations by first estimating the heritability
98 itize informative markers for multi-ancestry admixed populations by utilizing feature selection metho
99          We show how data from unadmixed and admixed populations can be combined to estimate these an
100              Research in African and African admixed populations can enable mapping of complex traits
101 propose a Bayesian model for fine-mapping in admixed populations, CARMA-X, that addresses some of the
102                                However, this admixed population challenges traditional management reg
103          The genome of an individual from an admixed population consists of segments originated from
104                      Simulations based on an admixed population demonstrate good operating characteri
105 ect selection on the marker locus within the admixed population due to covariance with the trait valu
106 stry analysis of genotype data from recently admixed populations (e.g. Latinos, African Americans) pr
107 nd found that genome-wide statistics vary in admixed populations even once ancestry proportions have
108  for leveraging genetic ancestry in recently admixed populations for the discovery of novel candidate
109 d a novel approach (aMAP, ancestry of Modern Admixed Populations) for inferring local phased ancestry
110 se a method, REAP (relatedness estimation in admixed populations), for robust estimation of identity
111               Our method is applicable to an admixed population from an arbitrary number of ancestral
112 he Human Genome Diversity Panel and recently admixed populations from the 1000 Genomes Project.
113 ty explained by local ancestry markers in an admixed population (h(gamma)(2)) provides crucial insigh
114 ypes give rise to both the ancestral and the admixed population haplotypes, we employ an infinite hid
115                 This approach, especially in admixed populations, has the potential to produce mislea
116                                              Admixed populations have been used for inferring migrati
117 ed to empirically test three hypotheses: (i) admixed populations have higher quantitative genetic var
118 tical difference: (i) association studies in admixed populations; (ii) association studies in presenc
119 periods of gene flow shaped the diversity of admixed populations in the Americas-70% of the European
120 ariation remains to be discovered in African-admixed populations in the Americas.
121                 Hence, researchers who study admixed populations in which AIMs are not available can
122 ference of ancestral information in recently admixed populations, in which every individual is compos
123 _{\boldsymbol{g}}^{\mathbf{2}}$ by 10-60% in admixed populations; in contrast, cov-LDSC is robustly a
124 re, we present a demographic model (with one admixed population incident to a leaf) where TreeMix and
125 determine the ancestry proportion in two-way admixed populations including African Americans, there a
126 he feature selection approaches in three-way admixed populations (including Latino populations).
127                                              Admixed populations, including the Hispanic/Latino/a com
128 risk by linkage-disequilibrium mapping in an admixed population is not critically dependent on assump
129          Admixture mapping based on recently admixed populations is a powerful method to detect disea
130  Elucidating ancestry-specific structures in admixed populations is crucial for comprehending populat
131            The extent of recent selection in admixed populations is currently an unresolved question.
132 oach to addressing the genetic complexity in admixed populations is to infer ancestry.
133 ribes both the ancestral populations and the admixed population jointly in a unified framework.
134                                    Recently, admixed populations make up an increasing percentage of
135 ization of the genetic variation of recently admixed populations may reveal historical population eve
136 ze the genetic basis of skin pigmentation in admixed populations (N = 2,104).
137                            Puerto Ricans, an admixed population of African, European, and Native Amer
138 able adaptation to a malaria parasite in the admixed population of Cabo Verde within the last ~20 gen
139 rgence of formally recognized breeds from an admixed population of working sheepdogs.
140 stions using skin reconstitution assays with admixed populations of genetically labeled, cultured ker
141                                              Admixed populations offer a unique opportunity for mappi
142                                              Admixed populations offer valuable insight into the gene
143 r population admixture allow users to create admixed populations or preserve substructures while intr
144 is not significant in other heterogeneous or admixed populations, or in fetal genotype analysis.Popul
145  the genome of an individual from a recently admixed population, our method can estimate the proporti
146 vely associated with asthma exacerbations in admixed populations (P <= 5 x 10(-6) ).
147                    Association studies among admixed populations pose many challenges including confo
148                               These recently admixed populations provide unique opportunities to stud
149 erred map with high-resolution maps from non-admixed populations provides evidence of fine-scale diff
150 alysis of skin pigmentation GWAS in recently admixed populations provides new insights about the gene
151                          Genetic analysis of admixed populations raises special concerns with regard
152 guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primar
153 apping and trait heritability estimation, in admixed populations remains critically underexplored.
154  ancestral origin along the chromosome of an admixed population requires the use of ancestry informat
155  compare their utility in the case where the admixed population results from the intermating between
156  estimating admixed proportions in three-way admixed population scenarios.
157  discrete and admixed cases, we show that in admixed populations, spurious associations are less seve
158 -by-distance) and the anthroponotic subtype (admixed population structure).
159 ng 5,976 published genomes revealed a highly admixed population structure, low core genome nucleotide
160 roach efficiently captures both discrete and admixed population structures.
161 ssociation studies, particularly in recently admixed populations such as African Americans.
162 ure, but the performance of these methods in admixed populations (such as African Americans) has not
163 a genome-wide association study (GWAS) of an admixed population, such as Hispanic Americans, ancestry
164                                Besides that, admixed populations, such as Brazilians, were not includ
165 erbations despite treatment, particularly in admixed populations, such as Puerto Ricans and African A
166 aicism raises unique challenges for GWASs in admixed populations, such as the need to correctly adjus
167 correlates with lighter skin pigmentation in admixed populations, suggesting a key role for the SLC24
168 ignals and local hunter-gatherer ancestry in admixed populations, suggesting that selection has maint
169                        Color variation in an admixed population suggests that this light Sand Hills p
170  detect selection using individuals from the admixed population than from the nonadmixed population,
171 selection using individuals sampled from the admixed population than from the nonadmixed population.
172 anscriptome prediction models trained in our admixed population than models trained using data from t
173 Turkey that features a unique cohort from an admixed population that enabled the detection of novel l
174 e define the genetic structure of a uniquely admixed population that holds great potential to advance
175                                  Genetically admixed populations that speak creole languages show hig
176                              AAs and HLs are admixed populations that trace their genetic ancestry to
177                We hypothesized that, in this admixed population, the association between SES and asth
178 nc) can be modeled when performing a GWAS in admixed populations, the extent of HetLanc needed to ove
179 ated and also a generalized model, where the admixed populations themselves are related via coancestr
180  found that if there is random mating in the admixed population, then typically there is a collapsing
181 ation about the founding populations and the admixed population, thereby collapsing the marker into o
182 e it possible to apply AM approaches in many admixed populations throughout the Americas.
183 roach that exploits the genomic structure of admixed populations to date and characterize historical
184  mapping approach uses samples from recently admixed populations to detect susceptibility loci at whi
185  support the advantages of analyzing African-admixed populations to discover new genes influencing sk
186 parameters when using samples drawn from the admixed population under certain conditions.
187 estry-specific allele frequencies within the admixed population under study, allowing for variation b
188 methods based on variation in ancestry in an admixed population, used in anthropological and statisti
189 stry (LEA) using Local Ancestry inference in adMixed Populations using Linkage Disequilibrium method
190 de to improve methods for genomic studies of admixed populations using local ancestry inference (LAI)
191 te the performance of tests of neutrality in admixed populations using plausible demographic models f
192                   Of particular interest are admixed populations, usually defined as populations with
193 ing the high-resolution genetic structure of admixed populations via local ancestry inference (LAI),
194 es tailored for analysis of multi-ethnic and admixed populations, we describe a framework for analysi
195 on and the proportion of genetic ancestry in admixed populations, we sought to infer the former proce
196                                          The admixed populations were maintained by random mating in
197 en genotypes and local ancestries on a 3-way admixed population, when the phase of each admixed indiv
198 ailable data, especially for understudied or admixed populations where additional research and resour
199 hen inferring the locus-specific ancestry in admixed populations where the ancestral populations are
200 roduce a new method, LAMP (Local Ancestry in adMixed Populations), which infers the ancestry of each
201 to provide a diverse genome map of different admixed populations, which can be used for future pharma
202                               Latinas are an admixed population with most of their genetic ancestry f
203 , and assess their clinical applicability in admixed populations with a high asthma burden.
204  asthma-associated locus that is relevant to admixed populations with African ancestry and highlight
205 try and admixture mapping test statistics in admixed populations with contributions from any number o
206 isting methods in revealing the structure in admixed populations with diverse demographic histories,
207 llows for rapid and realistic simulations of admixed populations with selection.
208 hods perform very well for both discrete and admixed populations with subject outliers.
209 f{2}})$ and its enrichment in homogenous and admixed populations with summary statistics and in-sampl
210                                              Admixed populations, with their unique and diverse genet

 
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