ライフサイエンスコーパス: identity-by-descent

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

72 Loss of identity by descent in two consanguineous pedigrees was

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

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

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

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

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

78 Identity-by-descent mapping using empirical estimates of

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

97 Computing identity-by-descent sharing between individuals connecte

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

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

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

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

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

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

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

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

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

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

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

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