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1 went an ophthalmic evaluation to establish a genotype-phenotype correlation.
2 random monoallelic expression when examining genotype-phenotype correlation.
3 , and demonstrate for the first time a clear genotype-phenotype correlation.
4 ave also highlighted the challenges ahead in genotype-phenotype correlation.
5 tutions at the same mutation site suggests a genotype-phenotype correlation.
6 otypic variation of a single entity and lack genotype-phenotype correlation.
7 eshift/nonsense mutations, there was a clear genotype-phenotype correlation.
8 enital heart disease and provide examples of genotype-phenotype correlation.
9 ause tissue-specific tumors, with a striking genotype-phenotype correlation.
10 er data that will generate clinically useful genotype-phenotype correlation.
11 With limited exceptions, there is no genotype-phenotype correlation.
12 urological features do not show any specific genotype-phenotype correlation.
13 This information should greatly facilitate genotype-phenotype correlation.
14 patients from 19 families were analyzed for genotype-phenotype correlation.
15 this family cannot be explained by a strict genotype-phenotype correlation.
16 e length of the gene indicates a significant genotype-phenotype correlation.
17 der phenotype, there seemed to be no obvious genotype-phenotype correlation.
18 delineation of this form of ARCA and provide genotype-phenotype correlation.
19 study results were strongly suggestive of a genotype-phenotype correlation.
20 se variants was characterized to explore the genotype-phenotype correlation.
21 l manifestations are variable, with no clear genotype-phenotype correlation.
22 f clinical phenotypes demonstrating a strong genotype/phenotype correlation.
23 he hormonal phenotype--provided an excellent genotype/phenotype correlation.
24 arrants caution when making assertions about genotype-phenotype correlations.
25 TS13 activity, blunting efforts to establish genotype-phenotype correlations.
26 en rise to a number of clinically meaningful genotype-phenotype correlations.
27 in congenital TTP and provide insights into genotype-phenotype correlations.
28 icroarrays have improved our ability to make genotype-phenotype correlations.
29 rogeneity and to establish whether there are genotype-phenotype correlations.
30 urther elucidate the disorder's etiology and genotype-phenotype correlations.
31 es provide a systematic means to investigate genotype-phenotype correlations.
32 and SMEI, suggesting possible, but complex, genotype-phenotype correlations.
33 Our results show no notch 3 genotype-phenotype correlations.
34 ritable demyelinating neuropathies and their genotype-phenotype correlations.
35 the formation of SMC(15)s, and to facilitate genotype-phenotype correlations.
36 grated approaches to study gene function and genotype-phenotype correlations.
37 In these families, we have made genotype-phenotype correlations.
38 se, a problem not easily explained by strict genotype-phenotype correlations.
39 ons was studied to evaluate the evidence for genotype-phenotype correlations.
40 tions of HNF-1alpha mutations did not reveal genotype-phenotype correlations.
41 d six sporadic cases with DD and investigate genotype-phenotype correlations.
42 s of NF2 mutations has revealed some general genotype-phenotype correlations.
43 fy novel genetic causes of LVNC and describe genotype-phenotype correlations.
44 ven this use is limited by uncertainty about genotype-phenotype correlations.
45 nt samples now permit accurate diagnosis and genotype-phenotype correlations.
46 this critical gene is limited, with no clear genotype-phenotype correlations.
47 nazi Jewish (AJ) descent, aiming to identify genotype-phenotype correlations.
48 ctrum associated with KCNB1 variants and the genotype-phenotype correlations.
49 d for further network analysis to understand genotype-phenotype correlations.
50 ariable clinical expression with no emerging genotype-phenotype correlations.
51 werful tool to increase our understanding of genotype-phenotype correlations.
52 early myoclonic encephalopathy) and evaluate genotype-phenotype correlations.
53 netic and non-genetic factors that influence genotype-phenotype correlations.
54 m, our study provides some new insights into genotype-phenotype correlations.
55 syndromic approach, new gene discoveries and genotype-phenotype correlations.
56 l model for exploring factors that influence genotype-phenotype correlations.
57 dical genetics is the accurate prediction of genotype-phenotype correlations.
58 ally needed data set of the full spectrum of genotype-phenotype correlations.
59 ovide significant new insight regarding NPC1 genotype/phenotype correlations.
60 l data were obtained on ALS participants for genotype/phenotype correlations.
63 rain defects, and the potential existence of genotype-phenotype correlations, all of which are contes
64 ands the BHD-mutation spectrum and evaluates genotype-phenotype correlations among families with BHD.
66 ext steps needed to obtain a full picture of genotype-phenotype correlation and apply these findings
69 establishes a widely applicable platform for genotype-phenotype correlation and drug screening in any
70 ings will contribute to our understanding of genotype-phenotype correlation and mechanisms of disease
71 d patients with lipoid proteinosis to extend genotype-phenotype correlation and to add to the mutatio
72 review von Hippel-Lindau molecular genetics, genotype-phenotype correlations and clinical classificat
77 d studies will be beneficial in establishing genotype-phenotype correlations and should lead to furth
78 disease types 1 and 2, and further delineate genotype/phenotype correlations and functional domains w
81 o result in a more severe FHH phenotype with genotype-phenotype correlations, and a dominant-negative
82 insight into disease penetrance, expression, genotype-phenotype correlations, and arrhythmic event ra
83 1 mutation and/or AGS, investigate potential genotype-phenotype correlations, and begin to correlate
84 done in terms of clinical disease severity, genotype-phenotype correlations, and body composition an
85 ations of our studies for genetic diagnosis, genotype-phenotype correlations, and gene-based therapy.
86 ation for therapeutic studies, generation of genotype-phenotype correlations, and the identification
91 utation-positive cases are needed to discern genotype-phenotype correlations associated with calmodul
96 ions in the kinase domain, indicates a clear genotype-phenotype correlation between loss-of-function
98 many gaps in knowledge exist in refining the genotype-phenotype correlation between PAX9 and tooth ag
100 st relationship between birth cohort and the genotype-phenotype correlation between the FTO risk alle
102 ect the association further and to determine genotype-phenotype correlations between genetic variatio
103 , proof-of-concept studies have demonstrated genotype-phenotype correlations between specific IG germ
105 e trained and tested on a public data set of genotype-phenotype correlations by 5-fold cross-validati
106 ere, we provide experimental proof for these genotype-phenotype correlations by demonstrating that no
109 was performed in an attempt to determine if genotype-phenotype correlations could be made in this in
115 l application of genetic analysis, guided by genotype-phenotype correlations derived from disease and
116 ound on both arms of the Y chromosome making genotype-phenotype correlations difficult for this gene
123 , thus expanding the mutational database and genotype-phenotype correlation for this rare disease.
124 the challenges associated with establishing genotype-phenotype correlations for other disorders.
125 ese analyses will generate more insight into genotype-phenotype correlations for the different PID di
126 were reported, several attempts to establish genotype-phenotype correlations for this gene have been
129 a yields fitness landscapes analogous to the genotype-phenotype correlations found in biological evol
130 osomal dominant mutations in TCOF1, no clear genotype-phenotype correlation has been documented.
131 minant forms of non-syndromic deafness and a genotype-phenotype correlation has been reported in huma
133 ate, only two clinically relevant intragenic genotype-phenotype correlations have been reported for N
137 has shed some light to the uncertainties of genotype-phenotype correlation in NS, where several gene
138 hese results provide a preliminary basis for genotype-phenotype correlation in patients with deficien
140 familial clinical variability and absence of genotype-phenotype correlation in the disease, suggestin
143 ausing CACD and adds to our understanding of genotype-phenotype correlation in this heterogeneous gro
144 butes to define the genetic distribution and genotype-phenotype correlation in this rare form of CMT.
145 model in a recent meta-analysis, we examined genotype-phenotype correlation in three large Caucasian
149 te, mutation analyses have suggested a broad genotype-phenotype correlation in which missense and non
150 deed, there appears to be an SV expressional genotype-phenotype correlation in which the SV expressio
152 haracterization of genetic abnormalities and genotype-phenotype correlations in adult hepatocellular
154 odel for understanding general principles of genotype-phenotype correlations in human disease, as the
157 n emphasizes hazards in evaluating potential genotype-phenotype correlations in individuals analyzed
158 fic cardiovascular anomalies and investigate genotype-phenotype correlations in individuals with NKX2
163 k was to investigate survival, dementia, and genotype-phenotype correlations in patients with Parkins
164 linical symptoms and to investigate possible genotype-phenotype correlations in patients with two typ
166 r studies provide a biochemical insight into genotype-phenotype correlations in this group of disorde
167 Association mapping involves searching for genotype-phenotype correlations in unrelated individuals
168 ocytoma, respectively, the precise basis for genotype-phenotype correlations in VHL disease have not
172 utational analysis of extreme phenotypes and genotype/phenotype correlations in samples from African
176 , and common challenges in data analysis and genotype-phenotype correlation is essential if pathologi
179 ten lead to Becker muscular dystrophy, but a genotype/phenotype correlation is difficult to establish
181 ue in using RNA interference for identifying genotype/phenotype correlations is the uniformity of gen
182 le domains including statistical evidence of genotype-phenotype correlation, known pathways in the pa
186 the appropriate treatment plan for, accurate genotype-phenotype correlation of and a better understan
187 TOF patients and to further investigate the genotype-phenotype correlation of NKX2.5 mutations, we g
190 trum, study levels of mosaicism and identify genotype-phenotype correlations of AKT3-related disorder
192 s our report contributes to the knowledge of genotype-phenotype correlations of PLP1-related disorder
195 l variability, determinants of severity, and genotype/phenotype correlations of these diseases are no
196 knowledge of clinical and genetic diagnosis, genotype-phenotype correlations, pathophysiology and tre
200 ed with striking dysmorphic features, making genotype-phenotype correlations relatively straightforwa
208 n of the causal gene mutation and additional genotype-phenotype correlation studies will provide fund
209 ility genes, the growing amount of data from genotype-phenotype correlation studies, and the introduc
213 performed mutational analysis followed by a genotype-phenotype correlation study based on the clinic
215 otypes to genotypes using publicly available genotype-phenotype correlations such as expression quant
218 Recent studies have begun to reveal rare genotype-phenotype correlations, suggesting that the spe
220 and, specifically, the inclusion of parental genotype-phenotype correlation terms in association test
221 oncluded that the knockdown resistance (kdr) genotype-phenotype correlation that is observed in a wid
223 t genetic studies have demonstrated specific genotype-phenotype correlations that provide the first m
224 ation database allows further development of genotype/phenotype correlations towards understanding th
231 and to gain information related to possible genotype/phenotype correlations, we have identified 2 EN
240 tic studies are needed to gain insights into genotype-phenotype correlations, which will in turn impr
242 S) is to balance the statistical evidence of genotype-phenotype correlation with a priori evidence of
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