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

1 SNPs in the SNP-set are driving the overall genotype-phenotype association.

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

3 nvestigate the impact of metabolic status on genotype-phenotype association.

4 genetic structure rather than from a direct genotype-phenotype association.

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

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

7 tuberculosis among animals and to establish genotype/phenotype association.

8 an inability to identify diagnosis-specific genotype-phenotype associations.

9 ir associated phenotypes, including distinct genotype-phenotype associations.

10 istribution of disease-causing variants, and genotype-phenotype associations.

11 ) is widely used to identify bi-multivariate genotype-phenotype associations.

12 Fisher exact tests identified significant genotype-phenotype associations.

13 etween recurrently mutated genes, as well as genotype-phenotype associations.

14 ic complexity of linguistic traits and novel genotype-phenotype associations.

15 them a valuable tool for studies focused on genotype-phenotype associations.

16 r detecting and characterizing heterogeneous genotype-phenotype associations.

17 eat challenges in the predictive modeling of genotype-phenotype associations.

18 The pipelines exploited previously known genotype-phenotype associations.

19 anic/Latinx probands with early-onset AF and genotype-phenotype associations.

20 interest in integrating this variation into genotype-phenotype associations.

21 KCNT2-related disorders, highlighting novel genotype-phenotype associations.

22 eveal new variants through the assessment of genotype-phenotype associations.

23 investigate prognostic image biomarkers and genotype-phenotype associations.

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

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

26 Genotype-phenotype associations.

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

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

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

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

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

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

33 ed nicking) mostly overcomes such disruptive genotype-phenotype associations.

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

35 es and enhances our understanding of complex genotype-phenotype associations.

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

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

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

39 l as it allows us to: (1) elucidate specific genotype-phenotype associations, (2) prospectively study

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

41 phenotypes identified abundant, significant genotype-phenotype associations across 52 phenotypes.

42 terface allows for investigation of regional genotype-phenotype associations across many phenotypes,

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

44 Genotype-phenotype association analyses revealed novel l

45 Genotype-phenotype association analysis revealed that th

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

47 ents a simple yet useful tool for predicting genotype-phenotype associations and addressing diverse e

48 aximizes the power to test for heterogeneous genotype-phenotype associations and applied this approac

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

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

51 nt opportunity to explore the role of SVs in genotype-phenotype associations and examine the mechanis

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

53 echniques to identify previously undescribed genotype-phenotype associations and guide medical therap

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

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

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

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

58 Furthermore, a genotype-phenotype association approach revealed five SN

59 over, PCD has a broad clinical spectrum, and genotype-phenotype associations are beginning to be reco

60 iated pulmonary arterial hypertension (PAH), genotype-phenotype associations are lacking and may prov

61 , systematically curated clinically relevant genotype-phenotype associations are needed to understand

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

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

64 Gephebase aims to compile studies where the genotype-phenotype association (based on linkage mapping

65 To reveal genotype-phenotype associations between naturally occurr

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

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

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

69 -specific somatic instability has confounded genotype-phenotype associations, but growing evidence su

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

71 help users hypothesize new gene functions or genotype-phenotype associations by an interactive visual

72 roduction analysis pipeline that establishes genotype-phenotype associations by comparing mutant vers

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

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

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

76 Genotype-phenotype associations can be context-dependent

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

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

79 ts that arise from the sequencing, nonlinear genotype-phenotype associations, collinearity between in

80 oring in EHRs, increased the power to detect genotype-phenotype associations compared to logistic reg

81 erstanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environmen

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

83 annel structure, functional classifications, genotype-phenotype associations, disease models, and tre

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

85 hing features of common genotypes, including genotype-phenotype associations, during a 10-year period

86 3) providing more detailed information about genotype-phenotype associations even for those associati

87 r approach allows bidirectional searches for genotype-phenotype associations, even in lineages that d

88 Genotype-phenotype associations for common diseases are

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

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

91 rlying database currently stores >75 billion genotype-phenotype associations from 7347 genome-wide an

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

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

94 Genotype-phenotype associations have been also establish

95 ogenic variants in more than 50 genes, clear genotype-phenotype associations have been difficult to e

96 Tens of thousands of genotype-phenotype associations have been discovered to

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

98 ide association studies can reveal important genotype-phenotype associations; however, data quality a

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

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

101 Here, we report results of genotype-phenotype associations in a cohort of 170 indiv

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

103 alysis updated the literature and identified genotype-phenotype associations in bi-allelic CRB1 patie

104 alue of genetics and imaging in establishing genotype-phenotype associations in DCM and in clinical d

105 Here, we quantitatively survey genotype-phenotype associations in HCM to derive a data-

106 and quantify cancer incidence, patterns, and genotype-phenotype associations in individuals with path

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

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

109 ty and consistency in describing the variant-genotype-phenotype associations in the biomedical litera

110 :c.671_682del variant and establish possible genotype-phenotype associations in the ethnically Maltes

111 he complex regulation of gene expression and genotype-phenotype associations in the mosquito vector,

112 and use of genetic approaches to facilitate genotype/phenotype associations in these drosophilids.

113 That many genotype-phenotype associations involve variants under p

114 New solutions are needed to detect genotype-phenotype associations involved in microbial dr

115 Studying the mechanisms underlying the genotype-phenotype association is crucial in genetics.

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

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

118 better understanding of the many sources of genotype-phenotype associations is necessary.

119 perimental approaches provided insights into genotype-phenotype associations, it is worth noting that

120 These genotype-phenotype associations may warrant consideratio

121 Furthermore, our genotype-phenotype association models hold promise for a

122 olymorphisms in association studies revealed genotype-phenotype associations not observed with SNPs a

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

124 There are only a few studies looking at genotype phenotype associations of betaTI outside the Me

125 e to the lack of systematic investigation of genotype-phenotype associations of different types of SE

126 MT-SCCALR learns genotype-phenotype associations of multiple tasks jointl

127 arcopenia and malnutrition, while describing genotype-phenotype associations of muscle mass in health

128 This suggests that identifying genotype-phenotype association on a genome-wide scale ov

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

130 Beyond genotype-phenotype associations, our trans-biobank study

131 l subsets, and endothelial cells) and define genotype-phenotype associations (perianal disease and de

132 estigating and analyzing sequencing data and genotype-phenotype associations present several challeng

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

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

135 Genotype-Phenotype association showed that most patients

136 Thus, "in-a-dish" genotype-phenotype association strategies disentangle th

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

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

139 Genotype-phenotype association studies often combine phe

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

141 Next, genotype-phenotype association studies were performed wi

142 Omics studies are enabling genotype-phenotype association studies which identify ge

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

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

145 For genotype-phenotype association studies, we determined th

146 which can be used as a basis for large-scale genotype-phenotype association studies.

147 owever, it is still not widely considered in genotype-phenotype association studies.

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

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

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

151 eticulum (ER) stress pathways, but poor PLP1 genotype-phenotype associations suggest additional patho

152 Reliable identifications of genotype-phenotype associations that are significant in

153 Previous literature has begun to elucidate genotype-phenotype associations that may contribute to t

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

155 By enabling more accurate inference of genotype-phenotype associations, the method enhances stu

156 had the highest sensitivity to detect known genotype-phenotype associations under all scenarios of d

157 phylogenetic uncertainty mask the signals of genotype-phenotype associations underlying convergent ev

158 Sex-dependent genotype-phenotype associations unraveled women-specific

159 A genotype-phenotype association was demonstrable between

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

161 A trend of a genotype-phenotype association was revealed between the

162 The strongest genotype-phenotype association was seen for TP53.

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

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

165 Genotype-phenotype associations were analysed by Student

166 Genotype-phenotype associations were characterized by me

167 Genotype-phenotype associations were established using a

168 iagnostic process, 34 novel and 23 candidate genotype-phenotype associations were identified, mainly

169 red principally at ARMS2, but no significant genotype-phenotype associations were observed (P > 0.05

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

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

172 The genotype-phenotype associations were similar whether ana

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

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

175 er time in the same individual, and revealed genotype-phenotype associations within the mismatch repa