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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.
32 report the discovery of new Acrs by assaying candidate genes adjacent to a conserved Acr-associated (
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
39 o exercise and recovery, unveiling plausible candidate genes and biological mechanisms underlying ven
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.
61 orders have been reported, all discovered by candidate gene approaches applied to at least one locus.
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
75 and predicated upon the findings of previous candidate gene association studies, a primary focus of t
78 /CFS risk before concluding that most ME/CFS candidate gene associations are not replicated by the la
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
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
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
96 s approach, we have identified five separate candidate genes (CREBBP, WDR24, ARL8A, PHLDA3, LAD1) tha
98 the peanut genome sequence aids mapping and candidate-gene discovery for traits such as seed size an
102 iation in sulfatase activity we identified a candidate gene encoding an uncharacterized cytochrome P4
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
111 omic and quality traits revealed a promising candidate gene for seed weight, BjA.TTL, as well as addi
113 by retroviral capture and de facto provide a candidate gene for the endotheliochorial to hemochorial
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
121 association studies allowed prediction of 17 candidate genes for association with nitrogen use effici
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
130 r trichomes and thereby seem to be potential candidate genes for future studies in connection to the
133 chers to directly rank potential anti-CRISPR candidate genes for increased speed in testing and valid
136 rriers during speciation and identify strong candidate genes for mate and host plant choice behaviors
140 as newborn ovary homeobox gene (NOBOX), are candidate genes for primary ovarian insufficiency in wom
144 ng of two trichomes preferentially expressed candidate genes for straight-chain fatty acid biosynthes
148 of P. axillaris petals revealed three strong candidate genes for sympetaly based on functional annota
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
155 novel network-based approach for predicting candidate genes/genomic regions utilising the knowledge
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
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
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
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
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
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
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
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
196 r of associations reported in the depression candidate gene literature are likely to be false positiv
199 ns, which can guide future studies to assess candidate genes necessary for downy mildew resistance in
202 ysis to estimate risk of mortality for major candidate genes of aging and longevity and their cohort
205 he knockdown of the three strongest selected candidate genes (ORP3, GJB3, and RXFP1) enhances the mal
208 a series of preregistered analyses examining candidate gene polymorphism main effects, polymorphism-b
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
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
219 amilies with the same genetic condition) and candidate gene (relying on previous knowledge on the gen
223 f valuable quantitative trait loci (QTL) and candidate genes responsible for the concentration of gra
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
230 p = 3.9 x 10(- 2)) for valeric acid, and 17 candidate genes significantly clustered in olfactory rec
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
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
238 ny genes were originally identified based on candidate-gene studies that did not adequately account f
240 hows that the dsi-RNA knockdown of all three candidate genes suppressed glycogen and lipid biosynthes
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
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
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.
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
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
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
277 eported that common DNA variants in specific candidate genes were associated with altered neural acti
282 ggest that early hypotheses about depression candidate genes were incorrect and that the large number
284 e ontology (GO) term analysis, six promising candidate genes were significantly clustered in organell
287 Nine zebrafish orthologues of six human candidate genes were targeted simultaneously in eggs fro
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
300 ted transcript level of biological plausible candidate gene ZFP90 via expression quantitative trait l