ライフサイエンスコーパス: SNP analysis

1 endence in Germans (P = 1.94 x 10(-11) for 8-SNP analysis).

2 ; 95% confidence interval, 7.290-382.5 for 8-SNP analysis).

3 n help, support for alias names and expanded SNP analysis.

4 Genotypes were determined by PCR-based SNP analysis.

5 re associated with prostate cancer in single SNP analysis.

6 e-scanning method are compared to the single SNP analysis.

7 werful new tool for genome- and global-scale SNP analysis.

8 ined nominal significance (P<0.01) in single SNP analysis.

9 ate the ability to perform 12-fold multiplex SNP analysis.

10 imEX-Seq and single nucleotide polymorphism (SNP) analysis.

11 using multi-single nucleotide polymorphism (SNP) analysis.

12 e marker and single nucleotide polymorphism (SNP) analysis.

13 d them using single-nucleotide polymorphism (SNP) analysis.

14 large-scale single nucleotide polymorphism (SNP) analysis.

15 tiplexing in single nucleotide polymorphism (SNP) analysis.

16 then with a single nucleotide polymorphism (SNP)-analysis algorithm designed to separate homoeologue

17 Other applications include SNP analysis and genotyping.

18 Genome-wide SNP analysis and mutation detection of target genes was

19 ations (40-75%) were observed between CNV by SNP analysis and quantitative PCR.

20 provides a powerful new tool for large-scale SNP analysis and screening.

21 When the correlation is low, both individual-SNP analysis and the SNP-set analysis tend to have low p

22 SNP analysis and whole-exome sequencing revealed the pre

23 Genome-wide single-nucleotide polymorphism (SNP) analysis and vincristine-induced peripheral neuropa

24 sequencing, single nucleotide polymorphism (SNP) analysis, and a literature review contributed to th

25 ssociation studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive

26 Single-nucleotide polymorphism (SNP) analysis between the two genomes highlighted the mi

27 ere typed by single-nucleotide polymorphism (SNP) analysis, by multilocus variable number tandem repe

28 inkage-disequilibrium-model analysis, single-SNP analysis, cluster-based-parametric analysis, quantit

29 ome bin map of ESTs is a unique resource for SNP analysis, comparative mapping, structural and functi

30 A subsequent single-nucleotide polymorphism (SNP) analysis comparing Iowa to Sheila Smith revealed 49

31 d the presence of specific gene transcripts; SNP analysis demonstrated the presence of 3 fetal transc

32 The multi-SNP analysis described here was readily adopted by anoth

33 Finally, SNP analysis elucidates the origin of the inversion to S

34 inary gene-positive strains, but genome-wide SNP analysis failed to provide additional associations w

35 The SNP analysis for hemicentin-1 on 1q31 suggests that vari

36 Single nucleotide polymorphism (SNP) analysis for transcribed sequences from the C57BL/6

37 and targeted single-nucleotide polymorphism (SNP) analysis from independent groups have demonstrated

38 dies (GWASs), conditional and joint multiple-SNP analysis (GCTA-COJO) has been successful in allowing

39 whole-genome single nucleotide polymorphism (SNP) analysis, high-density microarray SNP genotyping, a

40 Locus-wide SNP analysis identified a risk-associated haplotype that

41 SNP analysis identified two variants whose allele freque

42 Strikingly, SNP analysis in a cohort of 87 patients with unipolar ma

43 in sporadic ALS, we performed a genome-wide SNP analysis in sporadic ALS cases and controls.

44 de screen, a single nucleotide polymorphism (SNP) analysis in the TYR chromosomal region 11q13-q21, a

45 Known methods for SNP analysis include restriction-fragment-length polymor

46 s predictors of anemia, we conducted a multi-SNP analysis including one SNP from each of the three ge

47 Haplotype-tagging SNP analysis indicated that 12 SNPs need to be genotyped

48 Multiple genetic SNP analysis is useful in the prediction of recurrent th

49 Using methylation-sensitive SNP analysis (MSNP), we surveyed the human genome at 50K

50 ds for amplifying whole-genomic DNA prior to SNP analysis, multiple displacement amplification, and O

51 ping (WGST) for high-resolution phylogenetic SNP analysis of 17 outbreak Apophysomyces isolates and f

52 In addition, SNP analysis of a second sample set of banked DNA sample

53 We identified amplification of IGF1R in a SNP analysis of GIST and thus studied its potential as a

54 SNP analysis of known transcribed sequences on chromosom

55 Additional SNP analysis of RNA-sequencing data of 26 Toxoplasma str

56 By whole-genome SNP analysis of the genotype-phenotype correlation, a ca

57 This SNP analysis of the three set genes is thus equally or m

58 SNP analysis of this region from two sensitive and two r

59 By combining SNP analysis of whole-genome sequences aligned to the JH

60 s performing single nucleotide polymorphism (SNP) analysis of 162 sequences available in the public d

61 Single-nucleotide polymorphism (SNP) analysis of genes located within this region identi

62 Single nucleotide polymorphism (SNP) analysis of human DNA for the purpose of identifica

63 an extensive single nucleotide polymorphism (SNP) analysis of the extended MHC in 237 families with t

64 In single-SNP analysis, one of the top SNPs was rs13057866 of LGAL

65 Individual SNP analysis performed using the PBAT-GEE program indica

66 Single nucleotide polymorphism (SNP) analysis performed in a whole-genome alignment reve

67 d, and using single nucleotide polymorphism (SNP) analysis, phylogenetic trees were assembled to dete

68 Moreover, SNP analysis raises the possibility of individual tumor

69 A recent genome wide SNP analysis revealed an ancient stable African taurine

70 Individual SNP analysis revealed significant associations of rs2193

71 Individual SNP analysis revealed that SNPs rs17710 and rs222843 in

72 Single-nucleotide polymorphism (SNP) analysis revealed that they included representative

73 Similarly, multiple-SNPs analysis revealed joint effects of rs2134655, rs172

74 The single-SNP analysis showed that the dominant minor allele of rs

75 In a multi-SNP analysis, SNPs from the same genes remained signific

76 t, compared to stepwise conditional multiple-SNP analysis, SOJO provided better sensitivity and speci

77 While CEHs appear to be homogeneous by SNP analysis, the nature of fine variations within their

78 have improved power over standard individual-SNP analysis under a wide range of settings.

79 Single SNP analysis using logistic regression revealed nine SNP

80 Thus, single nucleotide polymorphism (SNP) analysis using RFs is gaining popularity as a poten

81 The SNP analysis was performed using genome sequence data fr

82 Our case-control SNP analysis was powered to detect an effect size with O

83 readout for single-nucleotide polymorphism (SNP) analysis was developed employing single base chain

84 Single nucleotide variant (SNP) analysis was performed using the in-house pipeline.

85 In individual SNP analysis, we found significant associations for rs35

86 6 confirmed associations in an AMD candidate SNP analysis were filtered, representing a reduction in

87 ur approach has higher power than individual-SNP analysis when the median correlation between the dis

88 High-density genome-wide SNP analysis will include targets identified by structur

89 be lowered to nanoliters, the possibility of SNP analysis with attomoles of reagents opens up a route

90 ated, low-volume, high-throughput system for SNP analysis with potential applications to relevant for

91 iple genetic single nucleotide polymorphism (SNP) analysis would predict recurrent venous thrombosis.