ライフサイエンスコーパス: genotype-phenotype association

1 otropy Index under the null hypothesis of no genotype-phenotype association.

2 alysis for pooling statistical support for a genotype-phenotype association.

3 locuswide SNP typing in TCRB for studies of genotype-phenotype association.

4 investigate prognostic image biomarkers and genotype-phenotype associations.

5 Genotype-phenotype associations.

6 etic variants is critical for characterizing genotype-phenotype associations.

7 ermits a more precise understanding of these genotype-phenotype associations.

8 g-resistance profiles), and an assessment of genotype-phenotype associations.

9 es prior knowledge such as gene networks and genotype-phenotype associations.

10 cted genic interactions such as pathways and genotype-phenotype associations.

11 as missense, null, or regulatory to identify genotype-phenotype associations.

12 me 2 to the BALB/c background to confirm the genotype-phenotype associations.

13 he newly identified mutations, and to assess genotype-phenotype associations.

14 t be queried to find potentially significant genotype-phenotype associations.

15 rse cohorts for discovery and replication of genotype-phenotype associations.

16 ping is a central problem in exploring human genotype-phenotype associations.

17 ative analyses aimed at identifying specific genotype-phenotype associations.

18 We tested for genotype-phenotype associations across 156,154 genetic v

19 However, genotype-phenotype associations alone do not provide eno

20 e phenotype-associated SNPs than traditional genotype-phenotype association analysis under false posi

21 In 133 A. thaliana accessions, we test for genotype-phenotype associations and corroborate these fi

22 s on the horizon highlight the importance of genotype-phenotype associations and deep phenotyping of

23 d the molecular and cellular basis for these genotype-phenotype associations and found that the mutan

24 , identifying nearly all previously reported genotype-phenotype associations and providing strong sta

25 show our models to be accurate in detecting genotype-phenotype associations and robust for various f

26 t of gene prioritization, burden testing and genotype-phenotype association, and we discuss opportuni

27 me-wide analysis of quantitative trait loci, genotype-phenotype associations, and the products of exp

28 Scarce data exist on the genotype-phenotype association as assessed by tomographi

29 with the most recent findings in the area of genotype-phenotype associations as well as the interacti

30 ble, with minor modifications, for revealing genotype-phenotype associations between naturally occurr

31 Our study thus indicates well represented genotype-phenotype associations between three subgroups

32 Results suggest that two previously detected genotype/phenotype associations between bristle number a

33 Large-scale genomic studies establish genotype-phenotype associations, but they use phenotypes

34 opportunity to enhance our understanding of genotype-phenotype associations by extending phenotypes

35 We propose to investigate genotype-phenotype associations by methodical use of all

36 ilistic statements about the strength of any genotype-phenotype association can be made.

37 ne million medical records and show that 192 genotype-phenotype associations can be discovered with f

38 to 37 977 individuals identifying 71 robust genotype-phenotype associations clustered within 28 inde

39 We also analyzed the genotype-phenotype associations discovered in the Caucas

40 However, the genotype-phenotype associations do not provide informati

41 NA biorepository can be used to detect known genotype-phenotype associations for five diseases.

42 asures will play a key role in understanding genotype/phenotype associations for OCD and related spec

43 s have not been thoroughly examined, and the genotype-phenotype association has not been established.

44 ibute to the phenotypic variability, and the genotype-phenotype association has not been established.

45 However, these and other genotype-phenotype associations have rarely been causall

46 d short QT syndromes, emphasising the varied genotype-phenotype association in the ten different long

47 s of disease severity in an investigation of genotype-phenotype associations in 505 robust, clinicall

48 Analysis of the genotype-phenotype associations in all 30 strains showed

49 come a widely accepted strategy for decoding genotype-phenotype associations in many species thanks t

50 ndings demonstrate the benefit of evaluating genotype-phenotype associations in multiple race/ethnici

51 That many genotype-phenotype associations involve variants under p

52 No specific genotype-phenotype association is evident based on the c

53 Understanding of genotype-phenotype associations is important not only fo

54 ype-histologic subtype of thyroid cancer and genotype-phenotype associations observed.

55 ancestry in the models and the dependence of genotype-phenotype associations on background ancestry.

56 has important implications for interpreting genotype-phenotype associations, regulation of gene expr

57 induced gene variation and WGS to establish genotype-phenotype associations should be broadly applic

58 based on CgsSNP, emphasizing its utility for genotype-phenotype association studies but not for most

59 A number of genotype-phenotype association studies have been carried

60 , our observations strongly support previous genotype-phenotype association studies that proposed tha

61 Next, genotype-phenotype association studies were performed wi

62 s an estimate of overall disease severity in genotype-phenotype association studies, and the model pr

63 st evidence for population stratification on genotype-phenotype association studies, review methods t

64 For genotype-phenotype association studies, we determined th

65 protein sequence features (SFs) are used for genotype-phenotype association studies.

66 cost-effective genotyping and, subsequently, genotype-phenotype association studies.

67 is synthesizing evidence, studies evaluating genotype-phenotype associations, studies evaluating geno

68 We conducted a genotype-phenotype association study in 470 Tanzanians,

69 computationally efficient approach to mining genotype-phenotype associations that scales to the size

70 A genotype-phenotype association was demonstrable between

71 Furthermore, the genotype-phenotype association was evaluated in cultured

72 A significant genotype/phenotype association was detected for rp2 P450

73 entification of a significant discordance in genotype-phenotype association, we have reexamined the r

74 Genotype-phenotype associations were characterized by me

75 Previous genotype-phenotype associations were replicated (p < 0.0

76 ve family history of AMD with rs3750846, all genotype-phenotype associations were significantly repli

77 The genotype-phenotype associations were similar whether ana

78 , giving us new opportunities to detect true genotype-phenotype associations while unveiling their as

79 d on a random sample of 7877 individuals and genotype-phenotype associations with education and disea