ライフサイエンスコーパス: identity-by-descent

1 consanguinity but rather elevated background identity by descent.

2 enetic data within a framework incorporating identity-by-descent.

3 nome-wide relatedness and structure based on identity-by-descent.

4 for which affected sisters showed increased identity by descent (72%; chi(2) = 12.97; nominal P = 3.

5 We defined clusters of individuals using identity by descent, a form of genetic relatedness that

6 descent mapping using empirical estimates of identity-by-descent allele sharing may be useful for stu

7 We analyzed the trait, using a regression of identity-by-descent allele sharing on the sum and differ

8 stive evidence for linkage with single-point identity-by-descent allele-sharing statistics.

9 One approach identifies segments of maximum identity by descent among affected individuals; the othe

10 rious mutations in 14 genes that were shared identity-by-descent among affected family members.

11 ptotic values determined by the variation in identity-by-descent among loci per se, regardless of the

12 Additionally, identity-by-descent analyses reveal evidence of shared s

13 Identity-by-descent analyses showed that K13 622I parasi

14 Additionally, Identity-by-Descent analysis detects long-distance genet

15 d gene to a 122 kb region at 17q25.3 through identity-by-descent analysis in 17 genealogies.

16 An identity-by-descent analysis in a family with IMAGe synd

17 egion on X chromosome was identified through identity-by-descent analysis of 3 affected males.

18 ffected by HCM, we used exome sequencing and identity-by-descent analysis to identify a novel variant

19 ncipal component, neighbor joining tree, and identity-by-descent analysis-Moroccan/Algerian and Djerb

20 the first time, space-time probabilities of identity by descent and coalescence probabilities are fo

21 Using standard theories of identity by descent and spatial processes, we show that

22 The results of two- and multipoint identity-by-descent and identity-by-state analyses suppo

23 e critical region to 1.3 cM, on the basis of identity by descent, and to <0.5 Mb, on the basis of phy

24 the uniprocessor implementations of PCA and identity-by-descent are approximately 8-50 times faster

25 ds for regression of sib-pair differences in identity by descent, as well as a sibling-based variance

26 evidence of homozygosity at any locus due to identity-by-descent associating with phenotype which wou

27 g relative pairs on estimated proportions of identity-by-descent at a locus.

28 rd, the presence of an L1 element represents identity by descent, because the probability is negligib

29 ance loci, which showed the strongest recent identity-by-descent between populations.

30 es containing small numbers of affecteds and identity-by-descent data from closely spaced markers thr

31 Network analyses of identity-by-descent DNA connections suggest that social

32 For the genomic random effect, we used identity-by-descent estimates from accurately phased gen

33 Using identity-by-descent estimates, we show that at least 40%

34 on stratification, association analysis, and identity-by-descent estimation.

35 enerated genome-wide haplotype maps based on identity by descent from fancy mice and show that classi

36 Further, we leveraged shared identity-by-descent genetic segments in the region of th

37 comprised highly related clones (within-host identity-by-descent > 25%), indicating frequent co-trans

38 ed transmission networks with clonality (IBD[identity by descent]>0.99), copy number variation in Pvd

39 ozygosity enrichment, and genomic mosaics of identity-by-descent haploblocks that connect all manioc

40 inship analyses and the study of networks of identity-by-descent haplotype segment sharing, we elucid

41 o fine-map this signal, we detected pairwise identity-by-descent haplotypes using our tool GERMLINE a

42 aring analysis of identity by state (IBS) or identity by descent (IBD) alleles.

43 enetic marker data to infer segments of gene identity by descent (ibd) among individuals not known to

44 ed by principal component, phylogenetic, and identity by descent (IBD) analysis: Middle Eastern Jews

45 Segments of identity by descent (IBD) are used in many genetic analy

46 rom asymptomatic infections, we developed an identity by descent (IBD) based pipeline and validated i

47 Short segments of identity by descent (IBD) between individuals with no kn

48 ent a method, fastIBD, for finding tracts of identity by descent (IBD) between pairs of individuals.

49 can cause apparent oversharing of multipoint identity by descent (IBD) between sib pairs and false-po

50 is a technique that enriches for regions of identity by descent (IBD) between two individuals withou

51 inship between individuals, through pairwise identity by descent (IBD) estimates.

52 Identity by descent (IBD) has played a fundamental role

53 pping methods on the basis of regression and identity by descent (IBD) in populations of limited effe

54 ial phase of the work, we observed increased identity by descent (IBD) in the ASPs (sharing of 51.6%)

55 Gene identity by descent (IBD) is a fundamental concept that

56 al Coordinate Analysis to cluster parasites, identity by descent (IBD) methods to identify genomic re

57 al segments shared by two individuals due to identity by descent (IBD) provide much additional inform

58 Identity by descent (IBD) refers to a haplotype segment

59 Existing methods for identity by descent (IBD) segment detection were designe

60 Most methods for fast detection of identity by descent (IBD) segments report identity by st

61 CREST utilizes identity by descent (IBD) segments shared between a pair

62 es that avoids these limitations is based on identity by descent (IBD) segments that arise from commo

63 n C for estimating kinship coefficients from identity by descent (IBD) segments.

64 ies is generally done by testing for reduced identity by descent (IBD) sharing in the pairs.

65 more computationally efficient inference of identity by descent (IBD) than approaches that infer pai

66 Data-driven studies of identity by descent (IBD) were recently enabled by high-

67 nkage strategies often involve estimation of identity by descent (IBD) with the use of affected sibli

68 mixed populations), for robust estimation of identity by descent (IBD)-sharing probabilities and kins

69 n unrelated individuals by using segments of identity by descent (IBD).

70 tion size by using inferred long segments of identity by descent (IBD).

71 too do the number of detectable segments of identity by descent (IBD): segments of the genome where

72 tuations: (1) when there is no difference in identity-by-descent (IBD) allele sharing between stratif

73 ness and connectivity of infections using an identity-by-descent (IBD) approach.

74 recent migration across Southeast Asia using identity-by-descent (IBD) approaches based on genome-wid

75 A new method, random projection-based identity-by-descent (IBD) detection (RaPID) query, is in

76 Most existing identity-by-descent (IBD) detection methods only conside

77 IBS) genomic relatedness matrix (GRM) and an identity-by-descent (IBD) GRM.

78 ve selection can result in an excess of long identity-by-descent (IBD) haplotype segments overlapping

79 cale haplotype association approach based on identity-by-descent (IBD) in a large multi-ethnic bioban

80 enabled exact prediction of probabilities of identity-by-descent (IBD) in random-mating populations f

81 Identity-by-descent (IBD) inference is the problem of es

82 We present a method for multi-individual identity-by-descent (IBD) inference that allows for mism

83 Identity-By-Descent (IBD) is a general measurement of th

84 Identity-by-descent (IBD) is increasingly being used in

85 Through identity-by-descent (IBD) mapping and whole-exome sequen

86 investigators have proposed state-of-the-art Identity-by-descent (IBD) mapping methods to detect IBD

87 Identity-by-descent (IBD) mapping tests whether cases sh

88 onte Carlo method to estimate locus-specific identity-by-descent (IBD) matrices.

89 e configurations can be used to estimate the identity-by-descent (IBD) matrix at a map position for a

90 Identity-by-descent (IBD) matrix calculation is an impor

91 There is much interest in use of identity-by-descent (IBD) methods to map genes, both in

92 Using identity-by-descent (IBD) networks, we estimate the broa

93 he shape of the constraint set for the sibs' identity-by-descent (IBD) probabilities.

94 e develop a general framework for multipoint identity-by-descent (IBD) probability calculations.

95 es the number of strains, their proportions, identity-by-descent (IBD) profiles and individual haplot

96 By modeling the autocorrelation of identity-by-descent (IBD) rates, we propose a computatio

97 ous variation to persist, and increased both identity-by-descent (IBD) segments and runs of homozygos

98 Identity-by-descent (IBD) segments are a useful tool for

99 ideas, such as a novel indexing strategy of Identity-By-Descent (IBD) segments based on clique graph

100 uct an effective hash function that captures identity-by-descent (IBD) segments in genetic sequences,

101 We refer to these autozygous regions as identity-by-descent (IBD) segments.

102 our reconstruction algorithm are segments of Identity-By-Descent (IBD) shared between two or more gen

103 emented using the proportion of alleles with identity-by-descent (IBD) shared by relatives.

104 Inference of identity-by-descent (IBD) sharing along the genome betwe

105 method is based on a regression of estimated identity-by-descent (IBD) sharing between relative pairs

106 imates informed by both averaged genome-wide identity-by-descent (IBD) sharing estimates and shared I

107 Furthermore, study of identity-by-descent (IBD) sharing in a large sample of h

108 method, and logistic-regression analysis of identity-by-descent (IBD) sharing in ASPs with sample as

109 combines two sources of information: (a) the identity-by-descent (IBD) sharing score, which is inform

110 The SimKIN (kinship) measure is 1.0 for identity-by-descent (IBD) sharing, 0.0 for no IBD status

111 donors, using a hidden Markov model (HMM) of identity-by-descent (IBD) states along the genome.

112 ox to more-general relative pairs, for which identity-by-descent (IBD) status is no longer a Markov c

113 r detecting individuals who share background identity-by-descent (IBD) that does not reflect recent c

114 We present a tool, diCal-IBD, for detecting identity-by-descent (IBD) tracts between pairs of genomi

115 ess of paired parasite isolates, measured by identity-by-descent (IBD), can provide important informa

116 nts shared between two individuals, known as identity-by-descent (IBD), reveal recent genealogical co

117 Identity-by-descent (IBD)-based methods have demonstrate

118 bsence of heterozygosity (AOH) burden due to identity-by-descent (IBD).

119 d patient travel statistics predict parasite identity-by-descent (IBD).

120 ithm of odds [LOD] 1.4; P = 5.5x10(-3); mean identity by descent [ibd] sharing 55.9%).

121 from a network of over 500 million genetic (identity-by-descent, IBD) connections among 770,000 geno

122 Loss of identity by descent in two consanguineous pedigrees was

123 mine whether rare, damaging mutations shared identity-by-descent in families with BD could be associa

124 estimation and use of identity-by-state and identity-by-descent information in the context of popula

125 le to the inclusion of pairs with incomplete identity-by-descent information.

126 striking DNA sequence similarity reflecting identity by descent is present across the ~20 kb B-globi

127 f nonchromosomal oncogene inheritance-random identity by descent-is poorly understood.

128 lion high-quality SNPs and a high-resolution identity-by-descent map, which account for an average of

129 (GMS) is a high-throughput, high-resolution identity by descent mapping technique that enriches for

130 hes exploiting variant correlations included identity-by-descent mapping and the optimal strategy for

131 Identity-by-descent mapping using empirical estimates of

132 METHODS AND Through identity-by-descent mapping, using approximately 400 000

133 subspecific origin, haplotype diversity and identity by descent maps can be visualized using the Mou

134 ale genotyping is required to generate dense identity-by-descent maps to map genes for human complex

135 nalysis (PCA) and relatedness analysis using identity-by-descent measures.

136 Inspired by identity by descent methods, SALAI-Net estimates populat

137 ant sibling pairs, and calculated multipoint identity by descent (MIBD) probabilities.

138 e. brought to homozygous state at a locus by identity by descent or state, could potentially result i

139 Molecular inference of familial relatedness (identity-by-descent or IBD) can help resolve the probabl

140 lysis of quantitative traits, calculation of identity-by-descent or kinship coefficients, and case se

141 genotypes in linkage regions by considering identity-by-descent parameters for affected siblings.

142 enotypes in regions of linkage by estimating identity-by-descent parameters, to adjust for correlatio

143 rtaken, combining the average allele-sharing identity by descent (pi) for whites, blacks, and Mexican

144 The identity by descent probabilities were calculated using

145 rossing polyploids of any ploidy level using identity-by-descent probabilities.

146 This is the first identity-by-descent regression analysis of hypertension

147 We find that full-sib identity-by-descent regression estimates for height (0.6

148 found higher linkage disequilibrium (LD) and identity-by-descent relative to Europeans, as expected f

149 duals by considering relatedness (kinship or identity by descent) scores and allows prioritizing subj

150 published ancient individuals allowed shared identity-by-descent segment analysis, giving a fine-grai

151 components calculated from rare variants or identity-by-descent segments can correct this stratifica

152 g shared allele intervals (LSAIs; similar to identity-by-descent segments) in unphased data for >143,

153 sing ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral popu

154 able, it is shown that by comparing the IBD (identity by descent) shared and not-shared segments betw

155 Computing the probability of identity by descent sharing among n genes given only the

156 methods and maximum likelihood estimates of identity by descent sharing as implemented in GeneHunter

157 Allele frequencies and the identity by descent sharing were estimated separately fo

158 directly for increased identity-by-state or identity-by-descent sharing (by use of the programs APM,

159 The extensive homozygosity and identity-by-descent sharing among individuals reflects s

160 can be used to fit a likelihood model to the identity-by-descent sharing among pairs of affected rela

161 heritability to estimates based on dizygotic identity-by-descent sharing and distant genetic relatedn

162 nerations ago that has resulted in extensive identity-by-descent sharing and homozygosity, increasing

163 al (P = 0.007), but not maternal (P = 0.75), identity-by-descent sharing at D7S640.

164 Computing identity-by-descent sharing between individuals connecte

165 method using recombination rate-stratified, identity-by-descent sharing between siblings to unbiased

166 ity is exceptionally high, and the degree of identity-by-descent sharing generally appears to be lowe

167 ng from primarily European to Asian and high identity-by-descent sharing with the Finnish population.

168 gs to 2p12-q11 with P=0.0000037 for paternal identity-by-descent sharing, whereas the maternally inhe

169 can be described as assigning scores to each identity-by-descent-sharing configuration that a pedigre

170 es inbreeding and kinship by modeling latent identity-by-descent states that accounts for all possibl

171 rogeneity LOD scores (HLODs) plus model-free identity-by-descent statistics and the multipoint NPL st

172 Full tracking of identity by descent status of alleles within the pedigre

173 d, the presence of an Alu element represents identity by descent-the probability that different Alu e

174 that uses genome-wide estimates of pairwise identity by descent to identify families and quickly rec

175 are, called IBDrecomb, for using segments of identity by descent to infer recombination rates.

176 algorithm that uses estimates of genome-wide identity by descent to reconstruct pedigrees consistent

177 Haplotypes are coloured based on identity by descent using a novel A* search algorithm an

178 r the expectation or the distribution of the identity-by-descent value at a putative QTL and either a

179 e nucleotide polymorphism molecular barcode, identity by descent was calculated from whole genome seq

180 Significant identity-by-descent was found in extended chromosome reg

181 t least 60 kb telomeric to HLA-C, suggesting identity by descent with the remaining risk chromosomes.

182 This leads to high probability of identity by descent within subpopulations and results in