ライフサイエンスコーパス: quantitative trait

1 nts associated with the mean difference in a quantitative trait.

2 cant variations (p < 0.001) for all assessed quantitative traits.

3 p technologies for efficient manipulation of quantitative traits.

4 ion of variance heterogeneity to oil-related quantitative traits.

5 mises to reveal how natural selection shapes quantitative traits.

6 about the molecular mechanisms underpinning quantitative traits.

7 nd gene mining strategies to explore complex quantitative traits.

8 awn from scenarios common to the analysis of quantitative traits.

9 contributions of common and rare variants to quantitative traits.

10 of effects of mutations on fitness and other quantitative traits.

11 lassical QTL mapping of red colouration as a quantitative trait and a targeted genetical genomics app

12 further combined mathematical modeling with quantitative trait and expression analysis to build a mo

13 oticism, and might prove important for other quantitative traits and complex disorders.

14 we treat absolute and relative longevity as quantitative traits and demonstrate that these lifespan

15 s, enriched in this isolate population, with quantitative traits and diseases.

16 ify genetic variants associated with diverse quantitative traits and diseases.

17 sights into the molecular basis underpinning quantitative traits and knowledge necessary to develop t

18 The highly polygenic nature of quantitative traits and most common phenotypes has motiv

19 GxE effects can induce heteroskedasticity in quantitative traits, and LEMMA accounts for this by usin

20 ndings indicate that the genes controlling a quantitative trait are more likely pleiotropic and funct

21 Quantitative traits are typically considered to be under

22 We characterize the genetic effects on the quantitative trait by a linear regression model with ran

23 prehensively test clinical and environmental quantitative traits (CEQTs) for their association with f

24 Most traits of agricultural importance are quantitative traits controlled by numerous genes.

25 sformation key that leaves the likelihood of quantitative trait data unchanged under a linear model w

26 on models, and couple them with estimates of quantitative trait divergence, or P(ST), to test drift a

27 ll, our findings suggest that the search for quantitative trait-environment relationships using singl

28 esence of some individuals in the tails of a quantitative trait for red blood cells.

29 rogeneous nuclear ribonucleoprotein H1) as a quantitative trait gene underlying decreased methampheta

30 the first coding exon supported Hnrnph1 as a quantitative trait gene.

31 me sites that may drive the reported disease/quantitative trait genetic associations.

32 e sequences and for which phenotypes of many quantitative traits have been evaluated.

33 methods for testing the haplotype effects on quantitative traits have correct type I error rates and

34 is the first documentation of epistasis in a quantitative trait in Atlantic salmon.

35 hat a variant may affect the variance of the quantitative trait in lieu of, or in addition to, affect

36 Dissecting the genetic architecture of quantitative traits in autotetraploid species is a metho

37 s an important genetic foundation underlying quantitative traits in many organisms as well as in comp

38 In-depth knowledge of this quantitative trait is thus very much needed to breed mor

39 Phenotypic variation of quantitative traits is orchestrated by a complex interpl

40 We mapped 602 APA quantitative trait loci (apaQTLs) at 10% FDR, of which 1

41 We systematically conducted cis-expression quantitative trait loci (cis-eQTL) analyses for 294 GWAS

42 expression levels from cis-acting expression quantitative trait loci (cis-eQTL) genotypes have succes

43 locus in 11q25, we undertook cis expression quantitative trait loci (cis-eQTL) mapping for this 2 me

44 ssion patterns were identified by expression quantitative trait loci (cis-eQTL) of age-dependent gene

45 evant top findings with in silico expression quantitative trait loci (eQTL) analyses for biological f

46 d transcript-wide correlation and expression quantitative trait loci (eQTL) analyses to identify IR-c

47 l human brains, identifying 7,962 expression quantitative trait loci (eQTL) and 4,635 spliceQTL (sQTL

48 xplanatory power of brain-related expression quantitative trait loci (eQTL) and allele-specific expre

49 s on introgressed haplotypes with expression quantitative trait loci (eQTL) and phenotype association

50 mplex traits and the multi-tissue expression quantitative trait loci (eQTL) data from the GTEx (v.8)

51 ing both the GWAS dataset and the expression quantitative trait loci (eQTL) dataset.

52 nome-wide colocalization with cis-expression quantitative trait loci (eQTL) identified a further five

53 , genome-wide and tissue-specific expression quantitative trait loci (eQTL) information to help annot

54 tical power of cell-type-specific expression quantitative trait loci (eQTL) mapping can be increased

55 F-target predictions and previous expression quantitative trait loci (eQTL) mapping results provided

56 We assessed the expression quantitative trait loci (eQTL) profile of variants that

57 Hi-C loops, or associated, using expression quantitative trait loci (eQTL) results, with a decrease

58 thods do not assess distant trans-expression quantitative trait loci (eQTL) that are known to explain

59 cell-type-specific epigenome and expression quantitative trait loci (eQTL) to identify susceptibilit

60 grative analyses, including brain expression quantitative trait loci (eQTL), gene coexpression networ

61 es, such as identification of CTS expression Quantitative Trait Loci (eQTL).

62 accessions and identified 15 330 expression quantitative trait loci (eQTL).

63 algorithm, Inference of Connected expression quantitative trait loci (eQTLs) (IRT), to predict the re

64 iles, we identify pMEI-associated expression quantitative trait loci (eQTLs) and splicing quantitativ

65 pression levels based on inferred expression quantitative trait loci (eQTLs) and then identify expres

66 We found thousands of expression quantitative trait loci (eQTLs) at all ranges of effect

67 Mapping of expression quantitative trait loci (eQTLs) facilitates interpretati

68 Although the majority of expression quantitative trait loci (eQTLs) for the gene expression

69 nally relevant loci by leveraging expression quantitative trait loci (eQTLs) from external reference

70 to identify 26 cell-type-specific expression quantitative trait loci (eQTLs) in 20 genes, including f

71 f gene expression variability and expression quantitative trait loci (eQTLs) in humans and chimpanzee

72 atal immunity and disease, we map expression quantitative trait loci (eQTLs) in resting myeloid cells

73 ence that read-in gene-associated expression quantitative trait loci (eQTLs) likely regulate genes up

74 Rs178252 and rs6004160 are expression quantitative trait loci (eQTLs) of CRKL.

75 Expression quantitative trait loci (eQTLs) of the glucose response

76 Expression quantitative trait loci (eQTLs) studies provide associat

77 ciation studies (TWASs) integrate expression quantitative trait loci (eQTLs) studies with genome-wide

78 We mapped expression quantitative trait loci (eQTLs) throughout differentiati

79 We identify cis expression quantitative trait loci (eQTLs) with sex-differentiated

80 udies (GWAS) tend to overlap with expression quantitative trait loci (eQTLs), but it remains unclear

81 n of gene expression, revealed by expression quantitative trait loci (eQTLs), exhibits complex patter

82 r in detecting cell-type specific expression quantitative trait loci (eQTLs).

83 re selected because they are gene expression quantitative trait loci (eQTLs).

84 cts on gene expression, i.e., GxE expression quantitative trait loci (eQTLs).

85 iants predicted to function as SZ expression quantitative trait loci (eQTLs).

86 ned differences in transcription [expression quantitative trait loci (eQTLs)] are implicated in compl

87 To identify cardiac histone acetylation quantitative trait loci (haQTLs), we regressed out confo

88 rge number of condition-specific, expression quantitative trait loci (local-eQTLs) with infection-spe

89 uencing DNA methylation, and DNA methylation quantitative trait loci (meQTL) have been identified in

90 hiatric disorders by integrating methylation quantitative trait loci (meQTLs), gene expression, and p

91 d with intermediate traits, termed molecular quantitative trait loci (molQTLs), can then be used as i

92 on lines identifying 338 putative metabolite quantitative trait loci (mQTL) for flavonoids, steroidal

93 MH63, we identified 4681 putative metabolic quantitative trait loci (mQTLs) in seeds across the thre

94 ncluding 45 with no previously known protein quantitative trait loci (pQTL) and 38 encoding current d

95 We identified 654 protein quantitative trait loci (pQTLs) in iPSCs, including dise

96 and colocation between mQTLs and phenotypic quantitative trait loci (pQTLs) revealed the complexity

97 In doing so, quantitative trait loci (QTL) (FDR<0.01) increased by an

98 Here we use quantitative trait loci (QTL) analyses of crosses betwee

99 A-Seq analysis of RNA from exhumed seeds and quantitative trait loci (QTL) analyses on a mapping popu

100 Quantitative trait loci (QTL) analysis is an important a

101 locations over two years, and a total of 49 quantitative trait loci (QTL) and 24 pairs of epistatic

102 d to increase the identification of valuable quantitative trait loci (QTL) and candidate genes respon

103 Per and Pdfr are within interacting quantitative trait loci (QTL) and differ in allele frequ

104 Using a quantitative trait loci (QTL) approach, we investigated

105 Quantitative trait loci (QTL) conferring resistance to m

106 Three quantitative trait loci (QTL) for delta(13) C(leaf) were

107 ly, a considerable number of observations of quantitative trait loci (QTL) for lodging resistance hav

108 ast Cancer Association Consortium (BCAC) and quantitative trait loci (QTL) from the Genotype-Tissue E

109 ype-phenotype links and causative genes from quantitative trait loci (QTL) is challenging for complex

110 tal population identified two FHB resistance quantitative trait loci (QTL) on chromosome 5A: 5A1 was

111 -wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying trai

112 ose APA sites were significantly enriched in quantitative trait loci (QTL) related to yield traits, s

113 all examined traits, and we identified five quantitative trait loci (QTL) significantly associated w

114 To identify quantitative trait loci (QTL) that contribute to phenoty

115 Three quantitative trait loci (QTL) were identified that contr

116 Such resistance is frequently controlled by Quantitative Trait Loci (QTL), and often involves differ

117 rapid identification of both qualitative and quantitative trait loci (QTL), and this technique is ref

118 nd unmasks additional genetic susceptibility quantitative trait loci (QTL).

119 ntly built for future studies on oil related quantitative trait loci (QTL).

120 The objective of this study was to map quantitative trait loci (QTLs) associated with CT using

121 he goal of the current study was to identify quantitative trait loci (QTLs) associated with resistanc

122 We identify quantitative trait loci (QTLs) associated with the level

123 Several quantitative trait loci (QTLs) associated with the trait

124 loping a statistical framework for assessing quantitative trait loci (QTLs) associated with the trait

125 ndependent datasets, genome-wide significant quantitative trait loci (QTLs) associated with weight an

126 by genotyping-by-sequencing and detected 395 quantitative trait loci (QTLs) for 12 traits under 7 env

127 se yeast strains and identified thousands of quantitative trait loci (QTLs) for 38 traits.

128 Annotation results revealed 31 quantitative trait loci (QTLs) for milk yield and its co

129 We respectively mapped quantitative trait loci (QTLs) for r and K in each envir

130 Mapping quantitative trait loci (QTLs) is now a routine practice

131 into functional mapping can characterize how quantitative trait loci (QTLs) modulate the phenotypic p

132 In this study, we mapped the quantitative trait loci (QTLs) of m(6)A peaks in 60 Yoru

133 cerevisiae population, we found 30 distinct quantitative trait loci (QTLs) that control chronologica

134 We mapped reliable quantitative trait loci (QTLs) that control SOC in eight

135 levels into genetic mapping to identify the quantitative trait loci (QTLs) that mediate how leaf are

136 ciation studies (GWAS) have been used to map quantitative trait loci (QTLs) underlying complex traits

137 Two major quantitative trait loci (QTLs), pc1 and pc10 that affect

138 By focusing on a set of quantitative trait loci (QTLs), we provide evidence supp

139 studies (GWAS) facilitated recognition of 17 quantitative trait loci (QTLs).

140 We investigated splicing quantitative trait loci (sQTLs) in 1,209 samples from 13

141 quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs) in 48 tissues.

142 Although trans-acting expression quantitative trait loci (trans-eQTLs) can directly revea

143 Although transcript usage quantitative trait loci (tuQTLs) have been mapped across

144 ationships are modified by genetic variants (quantitative trait loci [QTL]) acting via horizontal ple

145 Enrichment of regulatory expression quantitative trait loci among the CC variants was assess

146 Expression quantitative trait loci analyses identified multiple SNP

147 Expression quantitative trait loci analysis (n = 114), correlation

148 -lymphangiogenic C57BL/6N mice, we performed quantitative trait loci analysis of five phenotypes in a

149 Based on hepatic expression quantitative trait loci analysis, it has been suggested

150 by bioinformatics prediction and expression quantitative trait loci analysis.

151 lausible candidate gene ZFP90 via expression quantitative trait loci analysis.

152 erant genes; but are depleted for expression quantitative trait loci and cardiovascular-related genes

153 tabase of Immune Cell Expression, Expression quantitative trait loci and Epigenomics (DICE) cis-inter

154 ty, transcription factor binding, expression quantitative trait loci and other functional datasets ac

155 MR used known expression quantitative trait loci and summary statistics from a PA

156 This review focuses on (1) HbF quantitative trait loci and the geography of beta-globin

157 or cohort-matched expression and methylation quantitative trait loci and we demonstrated the potentia

158 We map hundreds of quantitative trait loci associated with 3D chromatin fea

159 e to G. hirsutum, allowing us to identify 13 quantitative trait loci associated with superior fiber q

160 entified co-localization with the expression quantitative trait loci at 105 discovered and 151 known

161 At another locus, expression quantitative trait loci at two overlapping T2D signals a

162 and remain unexplained by current expression quantitative trait loci catalogs.

163 ptome for genes and exploring the expression quantitative trait loci data may provide the potential d

164 n sequencing, RNA sequencing, and expression quantitative trait loci data.Measurements and Main Resul

165 genotype-tissue expression portal expression quantitative trait loci database and accelerating medici

166 We also analyzed expression and methylation quantitative trait loci datasets of adult brain and bloo

167 We mapped expression quantitative trait loci for annotated genes, novel trans

168 identify a total of 28 regions as potential quantitative trait loci for ascites.

169 We identify expression quantitative trait loci for both ACE2 and TMPRSS2, that

170 nd human cis-regulatory variation, we mapped quantitative trait loci for chromatin accessibility (caQ

171 evidence for rare-variant cis-acting protein quantitative trait loci for five genes, involving both c

172 We identified candidate genes within quantitative trait loci for HLB tolerance, and at the lo

173 junglefowl with domestic chickens, we mapped quantitative trait loci for hypothalamic methylation (me

174 We used DO mice treated with morphine to map quantitative trait loci for respiratory depression, reco

175 Five out of 6 expression quantitative trait loci genes are among the top candidat

176 ized by our in vitro studies were expression quantitative trait loci genes in human subcutaneous adip

177 Of the ~9 million expression quantitative trait loci identified in the DG-GCL, 15% we

178 oject has identified expression and splicing quantitative trait loci in cis (QTLs) for the majority o

179 pressed and methylated genes and methylation quantitative trait loci in obese children with asthma, i

180 e loci in aorta and tibial artery expression quantitative trait loci in our previous work in ~100 000

181 ssessed cross-trait associations, expression quantitative trait loci in subcutaneous adipose, and bio

182 ificant enrichment of same-tissue expression quantitative trait loci in suggested iQTLs (P < 10(-5)).

183 These tumor methylation quantitative trait loci influence chromatin structure, a

184 allowed the identification of a total of 25 quantitative trait loci interspersed across the genome p

185 presented in candidate genes associated with quantitative trait loci mapped using the Drosophila Synt

186 Quantitative trait loci mapping and genome-wide associat

187 Although many studies have used quantitative trait loci mapping and genome-wide associat

188 This finding was confirmed by an independent quantitative trait loci mapping and statistical analysis

189 Genome-wide association studies and quantitative trait loci mapping studies in sorghum (Sorg

190 l ischaemic stroke, and two blood expression quantitative trait loci of HTRA1 in linkage disequilibri

191 Within this region, two SNPs were expression quantitative trait loci of TMEM9 in nasal airway epithel

192 loci for human handedness in, and expression quantitative trait loci of, genes associated with brain

193 ant loci co-localized with either expression quantitative trait loci or chromatin interactions.

194 ociate with cis-regulatory variants (editing quantitative trait loci or edQTLs).

195 Expression and methylation quantitative trait loci revealed the contribution of gen

196 significantly overlap with the expression of quantitative trait loci SNPs in cancer patients more tha

197 n genotype and disease phenotype, expression quantitative trait loci studies have interpreted many of

198 Expression quantitative trait loci study was performed using data f

199 ss individuals to map hundreds of expression quantitative trait loci that influence expression dynami

200 lity has grown from being a tool for mapping quantitative trait loci to a means of providing germplas

201 ome- and genome-wide association studies and quantitative trait loci to further characterize the gene

202 s, from common variants acting as expression quantitative trait loci to rare variants enriched for ge

203 due to nonrandom distribution of expression quantitative trait loci variants between groups.

204 engineered human blood cells and expression quantitative trait loci verify that disrupted STF bindin

205 <0.0006) in EchoGen, and for RGMC, a protein quantitative trait loci was associated with incident HF

206 An enrichment of expression quantitative trait loci was detected among the CC-suscep

207 e, we demonstrate interactions of expression quantitative trait loci with target genes, and confirm a

208 Murine quantitative trait loci(6), human twin studies(7) and mi

209 nderlying nucleotide variations (methylation quantitative trait loci) and show that underlying geneti

210 variants, using gene expression (expression quantitative trait loci), chromatin interaction and func

211 ociation also to gene expression (expression quantitative trait loci), either in cis (180) or through

212 se are depleted of cis-eQTLs (cis-expression quantitative trait loci), suggesting that this relations

213 patterns with reported GO function terms and quantitative trait loci, a total of 27 top genes was sel

214 e DMRs, 92% were associated with methylation quantitative trait loci, and 68% showed moderate to larg

215 ented in brain gene enhancers and expression quantitative trait loci, and frequently associated with

216 oinformatic approaches, including expression quantitative trait loci, binding motif and transcriptome

217 On the other hand, chromatin quantitative trait loci, elucidated by direct epigenetic

218 Significantly more quantitative trait loci, genetic maps and markers are av

219 is proven as an excellent tool for detecting quantitative trait loci, genomic selection and assessing

220 with fetal brain expression and methylation quantitative trait loci, given the early onset of these

221 y have high power and resolution for mapping quantitative trait loci, high genetic diversity and mini

222 g cohorts, hypothesizing that cis-expression quantitative trait loci, including low-frequency variant

223 ue metabolite-locus associations (metabolite quantitative trait loci, mQTLs) that were identified and

224 re reduction was performed using metabolomic Quantitative Trait Loci, resulting in the list of metabo

225 Expression quantitative trait loci, topologically associated domain

226 hese SNPs reportedly function as "expression quantitative trait loci," modulating HLA-DR and -DQ expr

227 se syntaxins co-localize with SCN resistance quantitative trait loci.

228 st of which define clear expression variance quantitative trait loci.

229 ins (LG/J and SM/J); this GWAS identified 23 quantitative trait loci.

230 ome-wide association studies with expression quantitative trait loci.

231 rate that the exploitation of layer-specific quantitative trait loci/genes will be instrumental to re

232 ion, linked to specific SNP-based expression quantitative trait loci: with 10 eQTLs involving SNPs in

233 We map genetic regulators (quantitative trait loci; QTLs) of expression (eQTLs) and

234 types and gene expression levels, expression quantitative trait locus (eQTL) analyses have been instr

235 Expression quantitative trait locus (eQTL) analysis detects hotspot

236 Expression quantitative trait locus (eQTL) association meta-analysi

237 hose from our previous osteoclast expression quantitative trait locus (eQTL) dataset.

238 Most existing expression quantitative trait locus (eQTL) mapping studies have bee

239 ata from cohort-based DNA methylation (DNAm) quantitative trait locus (mQTL) studies to predict PAIs.

240 We carried out a genome-wide quantitative trait locus (QTL) analysis of preference be

241 linkage map for yellow lupin and conducting quantitative trait locus (QTL) analysis of yield under w

242 Using DO quantitative trait locus (QTL) analysis, we mapped the Q

243 Although quantitative trait locus (QTL) associations have been id

244 genetic architecture (trait segregation and quantitative trait locus (QTL) distribution) underlying

245 Qfhb1 is the most important quantitative trait locus (QTL) for FHB resistance.

246 We conducted quantitative trait locus (QTL) mapping across 10 sites,

247 this issue by developing a unified model of quantitative trait locus (QTL) mapping based on an open-

248 cross the central USA for 3 yr and conducted quantitative trait locus (QTL) mapping for rust progress

249 Quantitative trait locus (QTL) mapping of molecular phen

250 Here, via quantitative trait locus (QTL) mapping, we uncover the g

251 ns to improve the accuracy and resolution of Quantitative Trait Locus (QTL) mapping.

252 1) and C57BL/6J (B6) background identified a quantitative trait locus (QTL) on chromosome 7, which ha

253 itive and dominant effects for each putative quantitative trait locus (QTL) were separately scanned s

254 nt analysis, we identified a high-confidence Quantitative Trait Locus (QTL) with a single variant of

255 nderlying selective sweeps and domestication quantitative trait locus (QTL).

256 ing natural variation analysis combined with quantitative trait locus analysis, we found that the spa

257 nd adolescents for replication and conducted quantitative trait locus and functional annotation analy

258 uantitative trait locus, DNase I sensitivity quantitative trait locus and functional genetic variants

259 In a combined quantitative trait locus and genome-wide association stu

260 perform map-based cloning of a major effect quantitative trait locus controlling kernel weight-a key

261 Fhb1, a quantitative trait locus discovered in Chinese germplasm

262 variant (rs56372821) is a strong expression quantitative trait locus for cholinergic receptor nicoti

263 r, rs4317244 was identified as an expression quantitative trait locus for LRP2BP that regulates tight

264 sms underlying their natural variation using quantitative trait locus mapping and comparative transcr

265 nome-wide association studies and expression quantitative trait locus mapping.

266 Such molecular quantitative trait locus mappings can be integrated with

267 We constructed sex-specific expression quantitative trait locus regulatory networks.

268 cterization of qFIRM SKIN 1 (qFIS1), a major quantitative trait locus that partially determines the d

269 ariants associated with PLT/MPV with protein quantitative trait locus variants associated with plasma

270 gion for class II HLA genes through genomic, quantitative trait locus, and summary data-based mendeli

271 intersected chromatin states with expression quantitative trait locus, DNA methylation, and HiC chrom

272 ons with high accuracy, including expression quantitative trait locus, DNase I sensitivity quantitati

273 iverse inbred strains are frequently used in quantitative trait mapping to identify sequence variants

274 pression cohort, we performed cis-expression quantitative trait methylation (cis-eQTM) analysis to id

275 The model included either 500, 2000 or 8000 quantitative trait nucleotides (QTN) across 10 chromosom

276 n inbred line performance when the number of quantitative trait nucleotides was >=2000 and/or the ave

277 its of species can rarely be ascribed to the quantitative traits of organisms(1-3).

278 but the complex genetic architecture of many quantitative traits presents a substantial challenge.

279 Associations between haplotypes and quantitative traits provide valuable information about t

280 , function and disorder by using the imaging quantitative traits (QTs) as endophenotypes is an import

281 nucleotide polymorphisms (SNPs) and imaging quantitative traits (QTs).

282 aracteristics of the genes controlling three quantitative traits randomly selected from three diverse

283 ethods), gene regulation and other molecular quantitative trait studies, such as chromatin accessibil

284 We show that GxE effects first identified in quantitative traits such as BMI can be used for GxE disc

285 association studies for keratoconus and for quantitative traits such as central corneal thickness ha

286 For quantitative traits such as height, the predictor correc

287 Rice grain quality is a multifaceted quantitative trait that impacts crop value and is influe

288 shed light on the evolutionary processes of quantitative traits under natural selection.

289 Because quantitative trait variability typically arises from mul

290 However, the quantitative trait variants (QTVs) that modulate Hnrnph1

291 ehavior of the genetic variation that shapes quantitative trait variation.

292 ssion changes, which could broadly influence quantitative trait variation.

293 ally based correlation between relatives for quantitative traits was Fisher's infinitesimal model of

294 For quantitative traits we examine between-sibling differenc

295 Finally, using association results for 57 quantitative traits, we show that very low-depth WGS is

296 The genes controlling a quantitative trait were multiple times more likely to fo

297 t a vast majority of the genes controlling a quantitative trait were significantly more likely splice

298 across 10 chromosomes that contributed to a quantitative trait with population mean 100 and variance

299 Any set of related phenotypes, binary or quantitative traits with different units, can be combine

300 -based approach to analyzing associations of quantitative traits with haplotypes or untyped SNPs.