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1 ts in ten known deafness genes and one novel candidate gene.
2 tion (e.g., mutation or deletion) of a known candidate gene.
3 ere identified, including one at an a priori candidate gene.
4 diabetes (T1D), suggesting SKAP2 as a causal candidate gene.
5 h Factor Receptor 2 (VEGFR2), as a novel PAH candidate gene.
6 PR) protein family) as an extinction-related candidate gene.
7  nominated Egl-9 homolog 1 gene (EGLN1) as a candidate gene.
8 valuate protein expression of the identified candidate gene.
9  PRKN, SMARCAL1, SMAD7, which we refer to as candidate genes.
10 high-throughput sequencing of >300 potential candidate genes.
11 , GRB14, MAP3K1, FST, PEPD, and PDGFC as top candidate genes.
12 g lines generally results in fewer than five candidate genes.
13 q data and published literature to shortlist candidate genes.
14 ed TRAPPC9, MEF2C, and ST3GAL3 as novel ADHD candidate genes.
15 e a limitation for their usage in predicting candidate genes.
16 matics analyses were performed to prioritize candidate genes.
17 sses, and association analysis identified 22 candidate genes.
18 ch they classified 432 as high-priority ADHD candidate genes.
19             In 15 families, we delineated 12 candidate genes.
20 on chromosomes 3 and 7 for Mn containing six candidate genes.
21 e been associated with stillbirth and strong candidate genes.
22 es were significantly associated with top AD candidate genes.
23  identified rare genetic variants in several candidate genes.
24 e dominant signals in CPT2 and several other candidate genes.
25 ngle-nucleotide polymorphisms (SNPs) from 14 candidate genes.
26 he mapping interval, and identified the Pm5e candidate genes.
27  for highly significant mutational burden in candidate genes.
28                              Among the above candidate genes, 36 genes were found to be associated wi
29                         Using all positional candidate genes, a network was then constructed and comm
30                                   One of the candidate genes, Abscisic acid 8'-hydroxylase, is verifi
31 tly infer the specific functional effects of candidate genes across different tissues.
32 report the discovery of new Acrs by assaying candidate genes adjacent to a conserved Acr-associated (
33     Additionally, we identified 20 novel NOA candidate genes affecting 25 patients.
34                  Our results implicate novel candidate genes affecting life span and suggest that var
35 t SET1 and two other SET QTLs each contain a candidate gene (AHG1, ANAC060, PDF1 respectively) closel
36 KD or polycystic liver disease to identify a candidate gene, ALG9, and in vitro cell-based assays of
37                                              Candidate gene analysis on MMTV-Cre;Vangl2(flox/flox) an
38                                  Interest in candidate gene and candidate gene-by-environment interac
39 o exercise and recovery, unveiling plausible candidate genes and biological mechanisms underlying ven
40 s of selection allowed the identification of candidate genes and candidate causal variants.
41                      Associations between 68 candidate genes and cognitive impairment were assessed u
42                  The authors discuss several candidate genes and environmental factors (for example,
43                                        These candidate genes and functional pathways may direct bHR/b
44 ng the chip to refine the list of positional candidate genes and identify potential causative mutatio
45  molecules but further provide a list of new candidate genes and pathways possibly implicated in inne
46 n-synonymous mutations in a set of plausible candidate genes and significant differences in their all
47 ity of rare-variant analyses for identifying candidate genes and the results highlight potential ther
48  of this study was to define ADHD-associated candidate genes and their associated molecular modules a
49 high-throughput platform to rapidly evaluate candidate genes and their interactions during heart deve
50 a highly heritable disorder with an array of candidate genes and unclear genetic architecture, remain
51 e integrated peach SV map and the identified candidate genes and variants represent valuable resource
52 ediate phenotypes for functional analysis of candidate genes and/or the development of novel traits.
53 otypic analysis of the mutants validated the candidate gene, and included intermediate phenotypes tha
54 ti-tissue methods focus on prioritization of candidate genes, and cannot directly infer the specific
55 egative phenotypic data to better prioritize candidate genes, and to stratify disease mapping using s
56 evealed coding and splice region variants in candidate genes, ANK1, EPHX2 and LOX2, implicated in dia
57 pproach led to the identification of a major candidate gene, any minor effect locus remained elusive
58 xternal knowledge of gene function to detect candidate genes, applied the method to an AD dataset, an
59 on linkage mapping, association mapping or a candidate gene approach) is relatively well supported.
60                                      Using a candidate gene approach, we tested the hypothesis that i
61 orders have been reported, all discovered by candidate gene approaches applied to at least one locus.
62 vation, extending previous reports that used candidate gene approaches.
63 enome complexity, functional analysis of the candidate genes are challenging in wheat.
64 favourable SNP markers for MAS and a list of candidate genes are provided.
65                    We discovered that autism candidate genes are significantly enriched for bivalent
66                                              Candidate genes are still emerging, being identified whe
67 h larger samples using other methods than by candidate genes, are essential to developing methods tha
68 e-Histidine-type Transporter 1 (OsLHT1) as a candidate gene associated with the aspartate uptake trai
69 Pheno-RNA, a general approach to identifying candidate genes associated with a specific phenotype.
70 s were identified on BTA 2 and 14, harboring candidate genes associated with energy metabolism (IGFBP
71 nsden and Reute ecotype to identify a set of candidate genes associated with moss male infertility.
72 ncing and transcriptome analysis to identify candidate genes associated with the expression of the im
73 t analysis to identify constitutive QTLs and candidate genes associated with the grain Mn concentrati
74  within I. batatas, and identified promising candidate genes associated with this variation.
75 and predicated upon the findings of previous candidate gene association studies, a primary focus of t
76                                          Our candidate-gene association analyses of GWAS datasets sug
77                                              Candidate-gene association study in oilseed rape indicat
78 /CFS risk before concluding that most ME/CFS candidate gene associations are not replicated by the la
79                                        Other candidate genes at associated loci were also involved in
80  bioinformatics approaches can identify ADHD candidate genes at increased levels of credibility.
81 haracterization of the role of T1DM and T2DM candidate genes at the beta-cell level and the endoplasm
82 es in Malus germplasm collections and used a candidate gene-based association mapping approach to ide
83  of rose, was found to be colocalized with a candidate gene belonging to the 2-phenylethanol biosynth
84 t downregulation of known and most acylsugar candidate genes, but not defense genes.
85 o test the association of breast cancer with candidate genes by analyzing multi-omics data.
86 showed binding of MYC to the promoter of two candidate genes by chromatin immunoprecipitation.
87  for which we were able to identify credible candidate genes by combining multitrait association with
88 tization framework, POCKET (prioritizing the candidate genes by incorporating information on knowledg
89 sing a network propagation method, we ranked candidate genes by their similarity to known disease gen
90               Interest in candidate gene and candidate gene-by-environment interaction hypotheses reg
91                            Knockdown of such candidate genes caused cilia elongation and ciliopathy-l
92 al risk factors, nor do they include obvious candidate genes, complicating their functional character
93 imary hematopoietic cells to interrogate 389 candidate genes contained in 75 loci associated with red
94              Our data suggest that GLI3 is a candidate gene contributing to KS etiology.
95                       Some loci aligned with candidate genes controlling these traits.
96 s approach, we have identified five separate candidate genes (CREBBP, WDR24, ARL8A, PHLDA3, LAD1) tha
97  boosted scores may improve fine-mapping and candidate gene discovery for common disease.
98  the peanut genome sequence aids mapping and candidate-gene discovery for traits such as seed size an
99 lymorphism in the self-binding domain of the candidate gene DOG1.
100                             About 30% of the candidate genes encode enzymes that work in lipid metabo
101             One of these regions contained a candidate gene encoding a beta-keto acyl carrier protein
102 iation in sulfatase activity we identified a candidate gene encoding an uncharacterized cytochrome P4
103 ding to avoid repeating some mistakes of the candidate gene era.
104  performed to assess the diagnostic value of candidate gene expression signatures.
105  Within this QTL, we detected three putative candidate genes, fgfa8, cyp17a1 and an uncharacterised p
106 y results do not support previous depression candidate gene findings, in which large genetic effects
107 Semibalanus balanoides has been studied as a candidate gene for balancing selection for more than two
108 port that the transcription factor TBX1, the candidate gene for DiGeorge syndrome, is expressed in me
109 sceptibility and suggest KIAA0930 as a novel candidate gene for lung cancer risk.
110 tyrosine-protein kinase 1 gene as a putative candidate gene for Sbwm1.
111 omic and quality traits revealed a promising candidate gene for seed weight, BjA.TTL, as well as addi
112  AGAMOUS paralog, FhAG2, was identified as a candidate gene for sex determination in F. hispida.
113 by retroviral capture and de facto provide a candidate gene for the endotheliochorial to hemochorial
114                Tnfrsf9 (encoding CD137) is a candidate gene for the Idd9.3 type 1 diabetes (T1D) susc
115 ility and that PAX8 could be considered as a candidate gene for the study of GDM.
116  These findings support that PAX8 could be a candidate gene for the study of gestational DM (GDM).
117  we detected relevant tissues/cell types and candidate genes for 45 economically important traits in
118     These correlations were used to identify candidate genes for a reaction in histidine biosynthesis
119 n accuracy and optimized them for predicting candidate genes for anatomical entities.
120 eractions and is better optimized to predict candidate genes for anatomical entities.
121 association studies allowed prediction of 17 candidate genes for association with nitrogen use effici
122                         We identified strong candidate genes for asthma hospitalizations in adults in
123                                 Screening 46 candidate genes for astrocyte diversity across the mouse
124 uss how novel genomic resources can identify candidate genes for biofortification, integrating knowle
125 architecture of terpene yield and we provide candidate genes for breeding or engineering of crops for
126 tive sweeps across the Arabian breed contain candidate genes for combating oxidative damage during ex
127 elationships, variability in resistance, and candidate genes for defence response within the ash genu
128           This facilitates prioritization of candidate genes for functional follow-up studies.
129 uld be used in cassava breeding programs and candidate genes for functional validation.
130 r trichomes and thereby seem to be potential candidate genes for future studies in connection to the
131 genomic regions containing several plausible candidate genes for grain chalkiness.
132 ased pipeline to systematically characterize candidate genes for HRV in live zebrafish embryos.
133 chers to directly rank potential anti-CRISPR candidate genes for increased speed in testing and valid
134 s) confirmed the relevance of the key driver candidate genes for insulin responsiveness.
135  is the identification and prioritization of candidate genes for manipulation.
136 rriers during speciation and identify strong candidate genes for mate and host plant choice behaviors
137       Additionally, we highlight variants in candidate genes for obesity warranting further investiga
138 ysis across numerous tissues revealed strong candidate genes for obesity-related traits.
139 ith neurological or psychiatric disorders as candidate genes for PNES.
140  as newborn ovary homeobox gene (NOBOX), are candidate genes for primary ovarian insufficiency in wom
141 corded between the two cultivars to identify candidate genes for resistance.
142                                         Four candidate genes for self-incompatibility were linked in
143                                With lists of candidate genes for sex determination containing fewer t
144 ng of two trichomes preferentially expressed candidate genes for straight-chain fatty acid biosynthes
145                                           No candidate genes for SUDEP in Chinese people have been id
146                        Little is known about candidate genes for SUDEP in people of Chinese origin as
147 non-epilepsy controls, to identify potential candidate genes for SUDEP.
148 of P. axillaris petals revealed three strong candidate genes for sympetaly based on functional annota
149 ilial function, revealing new mechanisms and candidate genes for syndromic human disease.
150                   The third stage identifies candidate genes for the remaining lines by sequencing mu
151 tion to evaluate gene-burden associations of candidate genes from European genome-wide association st
152 o significant enrichment of rare variants in candidate genes (genes encoding components of the comple
153 very of vitiligo susceptibility loci through candidate gene, genomewide linkage, and genomewide assoc
154                                      Through candidate gene, genomewide linkage, and genomewide assoc
155  novel network-based approach for predicting candidate genes/genomic regions utilising the knowledge
156                             Three homologous candidate genes, glycogen synthase (glys), atp-binding c
157 s whole-genome approach introduces potential candidate genes governing the link between metabolic str
158 n, while more than half of them are from our candidate gene group, which would otherwise go unidentif
159                                 Seven of the candidate genes have putative roles connected to the phe
160 ysis of SNPs on chromosome 4D identified two candidate gene hits, TraesCS4D02G352200 (TaNox8; an NADP
161 his locus identified a number of polymorphic candidate genes, however only one, beta haemoglobin, was
162 AS analysis, such as haploblock analysis and candidate gene identification, is lacking.
163 ellular phenotypes following perturbation of candidate genes identified by genome-wide studies.
164                                              Candidate genes identified by WES were sequenced in an a
165  rapidly model loss-of-function mutations in candidate genes identified from SCLC sequencing studies.
166 ed a network analysis approach to prioritize candidate genes identified from whole-exome sequencing a
167 fic visualization that will aid in analyzing candidate genes identified in genome-wide association st
168 ome-wide DNA polymorphisms and the promising candidate genes identified in this study represent a val
169 ate cancer gene (HOXB13), as well as a novel candidate gene (ILDR1), which encodes a receptor highly
170 identified a LINE-1 insertion in the retinal candidate gene IMPG2 that is associated with a form of P
171 ociated protein 1 (DAP1) was implicated as a candidate gene in a previous familial linkage study of S
172 plicated follistatin gene, which is a strong candidate gene in the minimal mapped interval to cause t
173                               We analyzed 84 candidate genes in 4,649 patients and 4,982 controls by
174 , has also assisted in the identification of candidate genes in families with consanguinity.
175     We developed a new method to detect such candidate genes in large multi-omic case-control studies
176 tool for variants of unknown significance in candidate genes in patients with non-specific phenotypes
177 function from other organisms, we identified candidate genes in publicly available transcriptome data
178                              We detected 104 candidate genes in sweep regions involved in different p
179  date has incorporated the ohnolog status of candidate genes in the analysis.
180       Stability values were < 1.5 for the 20 candidate genes in the prospective cohort.
181 iated with heart rate variability (HRV), but candidate genes in these loci remain uncharacterized.
182 ffect of tissue sampling and preservation on candidate genes included in a renal transplant diagnosti
183 reviously reported resting QT interval loci; candidate genes included KCNQ4 and KIAA1755.
184             The expression patterns of seven candidate genes, including beta-catenin, Notch1, GATA6,
185 e for selection in highly estrogen-dependent candidate genes, including those for the estrogen recept
186 ling results converged to implicate multiple candidate genes, including two previously associated wit
187 sin cohesin subunit REC8 was identified as a candidate gene influencing crossover number and patterni
188  evidence has emerged from statin trials and candidate gene investigations suggesting that lower LDL
189        Here, we employed RNA-seq to identify candidate genes involved exclusively or shared by C(4) o
190 , we identified and validated multiple novel candidate genes involved in circadian period determinati
191 ptome analysis allowed the identification of candidate genes involved in lipid metabolism and the ass
192              The present experiment targeted candidate genes involved in serotonin production, metabo
193  analysis has led to the elucidation of hemp candidate genes involved in the syntheses of specialized
194 regulatory effects of non-coding variants on candidate genes is a key step in evaluating their clinic
195                                    Potential candidate genes (LEPR, FANCC, COL1A1, and PCCA) influenc
196 r of associations reported in the depression candidate gene literature are likely to be false positiv
197        Loss-of-function mutants of the NOP2A candidate gene located inside the largest effect QTL and
198                  Of these, 27, including two candidate genes located within the QTL associated with C
199 ns, which can guide future studies to assess candidate genes necessary for downy mildew resistance in
200 ant SNP for each trait-locus combination and candidate genes occurring within the GWAS hits.
201  mass and obesity-associated (FTO) gene is a candidate gene of obesity.
202 ysis to estimate risk of mortality for major candidate genes of aging and longevity and their cohort
203 ge on PCR amplification and co-expression of candidate genes on apparent expression stability.
204                  Additional lesions in these candidate genes or pathway components associate variant
205 he knockdown of the three strongest selected candidate genes (ORP3, GJB3, and RXFP1) enhances the mal
206             We found strong evidence for new candidate genes, particularly Rhbdf2, whose close associ
207                    These associated SNPs and candidate genes paved a path to understand the genetic a
208 a series of preregistered analyses examining candidate gene polymorphism main effects, polymorphism-b
209                                        Novel candidate genes potentially involved in the control of s
210 I networks via anatomy ontology improved the candidate gene prediction accuracy and optimized them fo
211 oped an integrative framework to improve the candidate gene prediction accuracy for anatomical entiti
212                  According to evaluations of candidate gene prediction performance tested under four
213 pared the performance of their network-based candidate gene predictions.
214 ellitus Knowledge Portal to evaluate whether candidate genes prioritized by our in vitro studies were
215 ed that expression levels of known and novel candidate genes (putatively encoding beta-ketoacyl-(acyl
216 wide association analyses identified several candidate genes related to animal resilience to environm
217  QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle
218                                              Candidate genes related to plant cell wall modification
219 amilies with the same genetic condition) and candidate gene (relying on previous knowledge on the gen
220        We think the genomic resource and the candidate genes reported here set the foundation to full
221 dentified adenosine receptor (AdoR) as a top candidate gene required for ISC proliferation.
222                                              Candidate genes required for reovirus to cause cell deat
223 f valuable quantitative trait loci (QTL) and candidate genes responsible for the concentration of gra
224                                Six potential candidate genes (RPS4X, SEPT6, NKRF, CX0rf57, NAA10, and
225                                        Of 31 candidate genes selected for investigation, the effects
226                              SNPs within 36 "candidate" genes, selected for their involvement in estr
227 sing four main approaches: linkage analysis, candidate gene sequencing and most recently, exome and g
228  genes (TNC, MMPs), we have identified novel candidate genes (SFRP2, SPP1, CCR1, C2, MSR1, C4A, PLA2G
229            Knockdown assays found that seven candidate genes significantly changed mosquitoes' suscep
230  p = 3.9 x 10(- 2)) for valeric acid, and 17 candidate genes significantly clustered in olfactory rec
231            We show that a top-ranked miR-137 candidate gene, Sorl1, has a tumor suppressor function i
232 e led by knowledge in the field (through the candidate gene strategy), now they often lead the scient
233 transcriptome analyses of animal models, and candidate gene studies have advanced our understanding o
234                                        Prior candidate gene studies have shown tumor suppressor DNA m
235 nkage analysis suited to strong-effect loci, candidate gene studies prone to false positives, and und
236  investigated by genome-wide association and candidate gene studies, which indicate that a number of
237  association studies, and the remaining were candidate gene studies.
238 ny genes were originally identified based on candidate-gene studies that did not adequately account f
239 provide a synthesis of published evidence of candidate-gene studies.
240 hows that the dsi-RNA knockdown of all three candidate genes suppressed glycogen and lipid biosynthes
241  identify overlaps between new and known PTB candidate gene systems.
242  identified in both approaches and is a good candidate gene that could be controlling grain Mn concen
243  the genetic risk variant rs17066096 and the candidate gene that encodes IL-22 binding protein (IL-22
244  an exon skipping event in HDAC7, which is a candidate gene that is important in the parasite's cell
245 We identified multiple methylation sites and candidate genes that can be further evaluated for their
246 de future transcriptome analyses to identify candidate genes that confer HM tolerance in wheat.
247 lerated through the discovery of markers and candidate genes that could be used in cassava breeding p
248 im of these studies is the identification of candidate genes that demonstrate congruent disease-relat
249                                     Among 23 candidate genes that differentiated patients with active
250                        We also identify some candidate genes that may play a role in ivermectin resis
251 (SNPs) were located in regulatory regions of candidate genes that may serve as major regulators of th
252  gene expression in interneurons, as well as candidate genes that might execute tonotopic plasticity.
253  resistance genes, but we uncovered a set of candidate genes that warrant further study.
254  semicombinatorial approach yielded multiple candidate genes that, upon further analysis, revealed an
255 g epithelial membrane protein 3 (EMP3), as a candidate gene, then demonstrate inactivating mutations
256        SP6 has also been implicated as an AI candidate gene through its study in rodent models.
257                     Several of these contain candidate genes (TINF2, PARP1, TERF1, ATM and POT1) with
258         With this work, we provide a list of candidate genes to study for improving rice stress toler
259 sion set, we identify individual significant candidate genes to which we assign direction of expressi
260 e, IRF2 was identified as the most promising candidate gene underlying resistance and susceptibility
261 tly improves detection and identification of candidate genes underlying a QTL, solidifying the founda
262                                         Many candidate genes underlying herbivory and specialization
263                                              Candidate genes underlying these QTL suggest pathogen ef
264 egy represents an important tool for finding candidate genes underlying traits of interest and potent
265 biological layers to identify and prioritize candidate genes, understand pathogenic pathways, and elu
266   We functionally assessed the effects of 15 candidate genes using RNA interference (RNAi): all affec
267 foundation for large-scale QTL fine mapping, candidate gene validation, and developing functional mar
268                                              Candidate gene variants derived from a prespecified set
269                                  These major candidate gene variants function in distinct pathways, i
270 s was followed by WES in selected cases if a candidate gene was not found.
271         To validate the gene functions, each candidate gene was silenced by injecting the target dsi-
272                           Prior knowledge of candidate genes was extracted from both experimental and
273                    Furthermore, a list of 23 candidate genes was identified and predicted to be benef
274 dentified, and region-specific expression of candidate genes was mapped in human tissues.
275              With the aim of identifying new candidate genes, we examined early-onset breast cancer p
276                  Deletions encompassing this candidate gene were present in awned mutants of an awnle
277 eported that common DNA variants in specific candidate genes were associated with altered neural acti
278                     As a result, 284 and 279 candidate genes were found to be significantly associate
279                                         Five candidate genes were identified based on the linkage dis
280                                              Candidate genes were identified by measuring growth as a
281                               Eight putative candidate genes were identified for three QTLs that enha
282 ggest that early hypotheses about depression candidate genes were incorrect and that the large number
283                                         Four candidate genes were overexpressed in Escherichia coli B
284 e ontology (GO) term analysis, six promising candidate genes were significantly clustered in organell
285                       The high-priority ADHD candidate genes were significantly coexpressed in the br
286                                     About 61 candidate genes were successfully cloned from Anopheles
287      Nine zebrafish orthologues of six human candidate genes were targeted simultaneously in eggs fro
288                                              Candidate genes were validated by independent gene mutat
289                                              Candidate genes were validated with functional data.
290        Sequence information of the predicted candidate genes will permit development of molecular mar
291                             We identified 45 candidate genes with ancient polymorphisms maintained by
292                                              Candidate genes with biological function related to tran
293 d the Wilcoxon rank-sum test, and visualizes candidate genes with dynamic APA.
294 ng in both populations implicates over 2,000 candidate genes with sex- and environment-specific or an
295 ction mutation in forkhead box I3 (FOXI3), a candidate gene within the common deleted region found in
296 ubjects, and haploinsufficiency for FOXI3, a candidate gene within the deleted region, is the likely
297 led with previously established roles of the candidate genes within identified risk loci in periderm
298 enetic interactions between BMPR1A and other candidate genes within linkage region 1 which may provid
299                                We identified candidate genes within quantitative trait loci for HLB t
300 ted transcript level of biological plausible candidate gene ZFP90 via expression quantitative trait l

 
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