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1 nd multipoint analysis (using complex-valued recombination fractions).
2 stimation of gamete mode frequencies and the recombination fraction.
3 nize and correct erroneous joins at peaks in recombination fraction.
4 onditional allele frequencies on disease and recombination fraction.
5 or each marker were highly negative at small recombination fractions.
6 licit form, expressed in terms of interlocus recombination fractions.
9 revealed a maximum LOD score (Zmax) of 8.13 (recombination fraction 0) for marker D1S2836; multipoint
10 1.2-p11.4, with a maximum LOD score of 3.21 (recombination fraction 0) for markers between DXS1039 an
11 resulted in a maximum LOD score of 7.83 (at recombination fraction 0) for markers D1S2848-D1S191.
12 evidence of linkage (maximum LOD score 3.8, recombination fraction 0) of an important FCH phenotype,
19 n only the affected individuals was 2.21, at recombination fraction 0, at marker D7S2195 on chromosom
20 linkage, with a maximum LOD score of 4.81 at recombination fraction 0, between the BO phenotype and p
24 itself, markedly affect the estimate of the recombination fraction; (2) the power of the analysis, r
26 ethod was used to estimate the parameters of recombination fractions and effects of sterile genes, an
27 ng the IBLs were used to calculate two-point recombination fractions and LOD scores through grid sear
28 segregation, clustering SNPs, calculation of recombination fractions and LOD scores, ordering of SNPs
29 t the linkage of the markers (as measured by recombination fraction) and the degree of their linkage
30 ing the frequencies of double reduction, the recombination fraction, and optimal parental linkage pha
31 ci, the frequency of the disease allele, the recombination fraction, and the methods for mapping the
32 recise estimates for the allele frequencies, recombination fractions, and linkage disequilibria betwe
33 frequencies (i.e., LD between marker loci), recombination fractions, and locus order-are dealt with
34 was because it depends upon the rankings of recombination fractions at individual markers, and is su
35 traight theta+straightepsiloni; theta is the recombination fraction between actual ("real") genotypes
36 ut threefold more information for estimating recombination fraction between closely linked markers th
37 we proposed a new method for estimating the recombination fraction between markers, which greatly im
39 model depends on only three parameters, the recombination fraction between the disease locus and an
40 will be significantly greater than the true recombination fraction between the linked disease-defini
41 ded, the retardation being determined by the recombination fraction between the neutral and selected
44 outperformed the EM algorithm in estimating recombination fractions between dominant loci and recove
45 key for doing so is to efficiently estimate recombination fractions between dominant markers in repu
46 pair of markers complicate the estimation of recombination fractions between markers and consequently
47 ressively joins linkage groups at increasing recombination fractions between terminal markers, and at
48 models and 3 two-locus models), and varying recombination fractions between the marker and the trait
49 ve, 27 different genetic models, and varying recombination fractions between the marker and the trait
50 alysis permits more accurate estimate of the recombination fraction but may be of limited use in dist
51 phenotypic probabilities as functions of the recombination fraction, calculation of theoretical stand
53 these errors can be absorbed in an inflated recombination-fraction estimate, leaving the test statis
54 ed F2 dominant marker data indicate that the recombination fractions estimated by the new method cont
55 ombination makes it difficult to predict the recombination fraction for an interval in any particular
56 ire genome was constructed by estimating the recombination fraction for each pair of adjacent inserts
57 11 kb region using a new method to estimate recombination fractions from single-sperm typing data.
59 nsion of this model to "hypercomplex-valued" recombination fractions (hereafter referred to as "hyper
61 ng assumptions, for determining the expected recombination fraction in IRI populations from the cross
62 e ability of hosts to actively distort their recombination fraction in rapid response to environmenta
63 OD scores and more-accurate estimates of the recombination fraction in the families showing linkage.
66 ed for the crossover rate per meiosis if the recombination fraction is known for the IRI population.
67 ions (hereafter referred to as "hypercomplex recombination fractions") is presented, to handle random
68 The adh1 and adh2 loci are tightly linked (recombination fraction <0.01) while the adh3 locus is in
70 In addition, a peak LOD score of 2.50 at a recombination fraction of .00 was obtained for the MCD t
73 kage analysis in this pedigree was 3.85 at a recombination fraction of .0010, for markers D12S1706 an
75 combined two-point LOD score was 15.76 at a recombination fraction of .021, with the polymorphic mar
77 pedigree (a maximum LOD score of 12.94 at a recombination fraction of 0 for D5S393) and combined gen
78 um combined two-point LOD score of 3.04 at a recombination fraction of 0 for the marker at locus D18S
91 A logarithm of odds (LOD) score of 0.92 at a recombination fraction of 0.05 was observed for insulin
95 Although a maximum LOD score of 10.00 at a recombination fraction of straight theta=.00 was obtaine
98 ise logarithm of the odds score of 4.73 at a recombination fraction of theta at D7S684 was obtained w
99 A maximum two-point lod score of 7.23 at a recombination fraction of zero was obtained for marker D
103 Furthermore, this result holds even if the recombination fraction R is the only parameter of intere
104 statistically significant difference in the recombination fraction (range 5.1%-11.2%) was detected a
105 osome 15 (maximum two-point LOD score, 5.83; recombination fraction [straight theta] 0 at locus D15S2
106 to D4S426 (maximum LOD score [Z(max)] 4.81; recombination fraction [straight theta] 0), D4S2688 (Zma
107 ficantly higher LOD scores and more-accurate recombination fractions than did analysis that did not a
109 with the microsatellite marker D16S522 at a recombination fraction theta = 0 provides evidence suppo
110 the maximum two-point lod scores of 2.18 at recombination fraction theta = 0 was obtained with marke
111 to marker C29.002 on canine chromosome 29 at recombination fraction theta = 0.0 with a maximum LOD sc
112 LOD score in these 12 families was 3.22 at a recombination fraction (theta) of .06, with marker D1S50
113 e for linkage (LOD score 2.5), but at a high recombination fraction (theta), suggesting heterogeneity
114 ned under the recessive-broad model: 3.92 at recombination fraction (theta).1 with D13S793, under hom
115 ; maximum LOD score [Z(max)] 4.99 at maximum recombination fraction [theta(max)] .00), identifying FD
116 9q and a maximum combined LOD score of 26.2 (recombination fraction [theta] .025) with marker D9S927.
117 d at markers D22S1167 (LOD score [Z] 2.09 at recombination fraction [theta] 0) and D22S1154 (Z=1.39 a
118 9q, using linkage analysis (LOD score 3.5 at recombination fraction [theta] 0, for marker D9S938).
119 (STR) markers D20S847 (LOD score [Z] 5.50 at recombination fraction [theta] 0.0) and D20S195 (Z=3.65
121 lowing markers: GATA172D05 (LOD score 3.164; recombination fraction [theta] = 0.156), DXS1047 (LOD sc
123 maximum LOD score Zmax of 7.82 at a maximum recombination fraction (thetamax) of .06 was found with
124 escribed a "complex-valued" extension of the recombination fraction to accommodate errors in the assi
125 although LOD scores were positive at higher recombination fractions, which is consistent with the pr
126 (homogeneous) trait, although the estimated recombination fraction will be significantly greater tha
127 to Xiphophorus linkage group V and exhibits recombination fractions with ES1 and MDH2 allozyme marke
128 zygotic twins (lambda M) and in terms of the recombination fraction, with the assumption of no residu
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