ライフサイエンスコーパス: genealogical

1 Genealogical analyses inferred migration patterns throug

2 Microsatellite and genealogical analyses of eight separate European kindred

3 This application of genealogical analyses provides markedly stronger inferen

4 rent loci in the virus genome restricted the genealogical analyses to haplotypes with common mutation

5 Genealogical analysis resolved two distinct clusters of

6 yses, using imputation, logistic regression, genealogical analysis using the GENECLUSTER program and

7 and coalescence records as the key units of genealogical analysis.

8 humans is defined as an individual who is a genealogical ancestor of all present-day people, the mos

9 e still expected to share millions of common genealogical ancestors over the last 1,000 years.

10 etic ancestors are a tiny fraction of common genealogical ancestors, individuals from opposite ends o

11 resent-day human has exactly the same set of genealogical ancestors.

12 o conduct one of the first surveys of recent genealogical ancestry over the past 3,000 years at a con

13 Genealogical and clinical record review, together with t

14 he posterior probability distribution of the genealogical and demographic parameters can be estimated

15 e strains is incomplete, we propose that all genealogical and genetic data on inbred strains be submi

16 e use importance sampling first to propose a genealogical and mutational history consistent with the

17 In the genealogical and phylogenetic analyses that are reported

18 surnames, it may have important forensic and genealogical applications.

19 ver, as these technical issues are solved, a genealogical approach holds great promise for understand

20 e disease and illustrates the utility of the genealogical approach in population genetics.

21 tions hinder the widespread application of a genealogical approach to plant evolutionary studies.

22 A genealogical approach utilizing hierarchical analysis of

23 When this genealogical approach was applied to the nucleotide sequ

24 The expected pattern of LD is predicted by a genealogical approach.

25 recombination necessitated that we also use genealogical approaches that can take advantage of both

26 a has focused on the medical, phenotypic and genealogical associations of single nucleotide polymorph

27 dy of biological complexity beyond the usual genealogical bonds, revealing additional sources of biod

28 Three major genealogical clades of the 33 P. longifolia S alleles we

29 marker-by-marker coancestry, and least using genealogical coancestry.

30 y diverse samples that vary in both size and genealogical complexity.

31 Our findings underscore the importance of genealogical concordance analysis for species circumscri

32 Genealogical concordance and mating experiments were per

33 lated with the Fg complex phylogeny based on genealogical concordance at six single-copy nuclear gene

34 The genealogical consequences of within-generation fecundity

35 When considered in a genealogical context, relationships among the G3pdh hapl

36 ody function in Drosophila are indicative of genealogical correspondence and thus an ancestral presen

37 The extensive genealogical data available for the population allowed a

38 Therefore, examination of these genealogical data can provide insights into the evolutio

39 Haplotype and genetic genealogical data defined MYBPC3 c.927-2A>G as a founder

40 Oxygen saturation and genealogical data were collected from residents of 905 h

41 e Utah Population Database, which links Utah genealogical data with Utah cancer data, we examined ris

42 result is consistent with differences in the genealogical depth of local genomic regions, a finding t

43 n repeat number was significant across three genealogical depths, suggesting that longer microsatelli

44 re a common genetic heritage, each being the genealogical descendant of a single species from the dis

45 efore central to fields that examine and use genealogical descent.

46 The genealogical distortions are all maximized when the sele

47 sses that have given rise to them; here, the genealogical framework of the coalescent will continue t

48 Because the genealogical generations specifying kinship relations ar

49 By measuring the average distance over which genealogical histories are typically preserved, these da

50 ancestral recombination graphs, which encode genealogical histories of DNA sequence data at each site

51 enetic data set in which all of the possible genealogical histories of the data are considered, each

52 d genetic linkage cause DNA segments to have genealogical histories resembling those of the selected

53 ealogical inference that samples independent genealogical histories using importance sampling (IS) an

54 ferent parts of the genome to have different genealogical histories.

55 ucity that has hindered inferences about the genealogical history and evolutionary development of the

56 termining the amount of recombination in the genealogical history of a sample of genes is important t

57 The recent genealogical history of human populations is a complex m

58 The genealogical history of microsatellite data sampled from

59 We assessed the genealogical history of P. infestans using sequences fro

60 The genealogical history of the inbred lines is usually well

61 ontrasting mutational dynamics and of shared genealogical history on the correlation between polymorp

62 xperienced at most one mutation event in its genealogical history, which becomes less tenable for ver

63 mary determinant of these patterns is shared genealogical history.

64 n for a detailed reconstruction of Ashkenazi genealogical history.

65 Genealogical index of familiality analysis showed signif

66 Genealogical index of familiality results (P<0.001) for

67 Familiality was also evaluated with the genealogical index of familiality, which considers all r

68 velop a new transmission model in a Bayesian genealogical inference framework and demonstrate how to

69 Genealogical inference from genetic data is essential fo

70 article introduces a new general method for genealogical inference that samples independent genealog

71 In the case of genealogical inference using microsatellite loci, we use

72 Here we review the methods available for genealogical inference using Y-chromosome data.

73 t do not use an explicit population model in genealogical inference.

74 process can greatly increase the accuracy of genealogical inference.

75 d 121 Waorani elders of both sexes to obtain genealogical information and recollections of raids in w

76 ing mathematical expressions admit intuitive genealogical interpretations, which we utilize to introd

77 ill allow a much fuller picture of the close genealogical kinship of individuals across the world.

78 region of the Y chromosome (NRY), by using a genealogical likelihood-based approach.

79 path-based methods for efficiently computing genealogical measurements, such as inbreeding and kinshi

80 The same genealogical methods are used to find the probability of

81 framework also incorporates a Wright-Fisher genealogical model of hosts, so that the dynamics of mic

82 ne of these two events is nonexistent in the genealogical model, the point estimation of the correspo

83 Gene genealogical models should describe the outcome of the p

84 Using simple genealogical models, we show that genetic distinctivenes

85 of a spatial population from a sample using genealogical models.

86 od of 20 years at one hospital combined with genealogical, neuropsychological, neurophysiological, ne

87 al ancestor has a physical history but not a genealogical one.

88 theory that considers multiple, sex-defined genealogical pathways through sexual organismal pedigree

89 mus, G. pennsylvanicus, and G. ovisopis, and genealogical patterns suggest that successive speciation

90 ions of the genome will display nonexclusive genealogical patterns.

91 A genealogical perspective on Hill-Robertson interference

92 evertheless infer the historical timings and genealogical placements of events of concerted change fr

93 underscores how the stochastic nature of the genealogical process can affect inference from a single

94 A simple genealogical process is found for samples from a metapop

95 ge to cross the habitat range, the long-term genealogical process is reasonably well described by Kin

96 quentially Markov coalescent is a simplified genealogical process that aims to capture the essential

97 demonstrated that inference methods based on genealogical processes with recombination can uncover pa

98 The genealogical properties of a small population with conti

99 -Fisher (DTWF) model and compare several key genealogical quantities of interest with the coalescent

100 By using genealogical reconstruction, we investigated gene flow a

101 ry biology, forensics, medical genetics, and genealogical reconstruction.

102 Genealogical records extending back five generations rev

103 terites, a founder population with extensive genealogical records.

104 clusters using a database of over 20 million genealogical records.

105 irs were obtained from the national twin and genealogical registers.

106 The growth in genealogical registries may contribute to loss of privac

107 Studies of spatial and genealogical relatedness reveal the self-organized spati

108 ntity states of two individuals with a given genealogical relationship are specified in terms of the

109 y highlight the conclusion that the power of genealogical relationship inferences can be enhanced eno

110 A low correlation between size variation and genealogical relationships among alleles suggests that a

111 The genealogical relationships among and origins of these br

112 To elucidate the genealogical relationships among microsatellite alleles,

113 and Wakeley, who described the backward-time genealogical relationships among sampled individuals, as

114 n substructuring affect the geographical and genealogical relationships among these alleles.

115 edigree information, PADRE can even identify genealogical relationships between individuals who are g

116 Accurate inference of genealogical relationships between pairs of individuals

117 el of recombination compatible with observed genealogical relationships in sequence data from nine nu

118 Contrasting genealogical relationships in sexually isolated pheromon

119 ed phylogeographic analyses that incorporate genealogical relationships of alleles offer the exciting

120 In a finite population, the genealogical relationships of individuals can create sta

121 tion of RAD-Seq data in phylogeography means genealogical relationships previously evaluated using re

122 umber of mutations while partially resolving genealogical relationships when necessary.

123 ethods were used to infer genetic diversity, genealogical relationships, structure, gene flow barrier

124 s) from E.coli MG1655 among strains of known genealogical relationships.

125 lives, they will tend to interact with their genealogical relatives, which may give kin-selected bene

126 n type, resulting in cooperation between non-genealogical relatives.

127 We primarily used a unique Utah genealogical resource to identify independent melanoma p

128 We explored the genealogical signature of population dynamics detected f

129 between evolutionary and demographic forces, genealogical structure and the resulting patterns of gen

130 mathematical analysis that describes how the genealogical structure at a neutral locus linked to the

131 enotypes of a collection of cells with known genealogical structure contains information on phenotypi

132 ty, patterns of molecular evolution, and the genealogical structure of alleles from L. parishii to a

133 The genealogical structure of neither gene departed from neu

134 selection has significantly distorted human genealogical structure on both broad and fine scales and

135 uch as population bottlenecks, can influence genealogical structure.

136 Genealogical studies demonstrated that the SSc cases wer

137 Genealogical studies place the birth of this ancestor >2

138 distinct E6-E7 haplotypes using codon-based genealogical techniques.

139 longifolia S alleles were used to divide the genealogical time into the within-clade and the between-

140 rst detailed for the S locus and analyzed in genealogical time scales.

141 tive cells did not carry a stable organismal genealogical trace.

142 ner population, consistent with our previous genealogical tracing studies.

143 atial and temporal dynamics of strains using genealogical tracing.

144 We then constructed a genealogical tree from the sequences of mutants taken at

145 ing that observed phenotypic dynamics on the genealogical tree is approximately conformal--a symmetry

146 , we use a model of phenotypic dynamics on a genealogical tree to define an inference method that all

147 es across the branches of the Y chromosome's genealogical tree, we determined that this deletion aros

148 etailed relationships in a robust, worldwide genealogical tree.

149 ruction and exploitation of a patrilineal (Y-genealogical) tree based on several hundred single-nucle

150 of an MCMC method that generates samples of genealogical trees (from the posterior distribution for

151 that the branching patterns of reconstructed genealogical trees contains information about the relati

152 arge percentage of the clonal submembers and genealogical trees could be identified.

153 ikelihood estimation of coalescence times in genealogical trees, based on population genetics data.

154 ncy spectrum on the topological structure of genealogical trees.

155 udying the fundamental scaling properties of genealogical trees.

156 e imperiled populations represented by these genealogical units remains critical.

157 lective forces shape patterns of genetic and genealogical variation is unknown in many species.

158 testing, PRNP microsatellite haplotyping and genealogical work confirm no cryptic close family relati

159 Genealogical work with the large family originally repor