ライフサイエンスコーパス: QTL

1 QTL affecting 3' RNA processing identify new functional

2 QTL for root and shoot biomass were co-located on chromo

3 QTL underlying an increased LRD may be a useful breeding

4 s involving these strains localized a Chr 10 QTL contributing to the difference.

5 Additionally, a total of 10 QTL were identified for grain protein content.

6 gnificant SNPs in 63 promising genes from 10 QTLs (P </= 0.0001; FDR </= 0.10) that exhibited reprodu

7 the segmental homology regions (SHRs) of 13 QTLs.

8 oci (QTL) analysis identified a total of 131 QTL, and QTL meta-analysis found four integrated QTL acr

9 the constitutive effect of the chromosome 1B QTL and explained the G x E interaction of the chromosom

10 In addition to Ca(+2) and Mg(+2) QTLs, twenty-seven QTLs for tissue Phosphorus, Zinc, Iro

11 leaf length, width, and area, identified 21 QTLs in four environments, and QTL expression varied acr

12 Overall, 26 QTL are identified; three are detected in multiple panel

13 d the G x E interaction of the chromosome 3B QTL by a benefit of one allele when temperature rises.

14 s (p = 2.4e-09, variance explained = 74%), 7 QTLs linked to load of axonal swellings (p = 1.7e-12, va

15 p = 1.7e-12, variance explained = 80%) and 8 QTLs linked to size of axonal swellings (p = 7.0e-11, va

16 Linkage analyses revealed 8 QTLs linked to number of DNs (p = 2.4e-09, variance expl

17 We compiled 943 QTL from all available species [lake whitefish (Coregonu

18 A QTL influencing TMTT accumulation corresponds to a simil

19 the observed marker instead of just having a QTL by random chance.

20 Previous studies identified a QTL for pheromone sensitivity that includes alternative

21 ative trait locus (QTL) mapping identified a QTL on mouse chromosome 10 that accounts for greater tha

22 pothesis tests: the test of whether or not a QTL exists, and the test of the LD strength between the

23 ing the first map of chromatin accessibility QTLs (caQTLs) in a European population using ATAC-seq.

24 This novel DNMT3B cis-acting QTL variant highlights the importance of genetically inf

25 ification, we mapped thousands of cis-acting QTLs, with over 25-fold lower cost compared to standard

26 rect approach is to identify enzyme activity QTL, which distinguishes between cis-QTL in structural g

27 ially less than the contribution of additive QTL (43%).

28 e identified plausible candidates within all QTL intervals, and used RNA interference to validate eff

29 identified 21 QTLs in four environments, and QTL expression varied across the environments.

30 nd genomic analyses, especially for GWAS and QTL mapping for genes associated with economically impor

31 athway analyses in conjunction with GWAS and QTL studies.

32 lication-ready visualizations of linkage and QTL maps.

33 ariation, paving the way for SNP mapping and QTL analysis, as well as studies of hybrid incompatibili

34 ers for rapid generation of genetic maps and QTL analysis has been demonstrated for heading date and

35 d resources on comparative maps, markers and QTL.

36 analysis identified a total of 131 QTL, and QTL meta-analysis found four integrated QTL across the g

37 tic and abiotic stress-resistance genes, and QTLs could shed light on the evolutionary history and ad

38 rates the confounding between 'linkage' and 'QTL effect', makes a fine genome division, provides a co

39 The Animal QTL Database has undergone dramatic growth in recent yea

40 for linkage group comparisons, and annotate QTL regions.

41 to integrate the bovine genome, annotation, QTL, SNP and expression data with external sources of or

42 We integrated the behavioral QTL and eQTL results to implicate specific genes, includ

43 We found no correlation between QTL density and gene density at the chromosome level but

44 y two associated SNPs were supported by both QTL analyses and gene cloning studies.

45 birds that has been used previously for both QTL and expression QTL studies.

46 trait for plant breeding, were identified by QTL analyses using the crossover counts as a trait.

47 related regions and genes were identified by QTL analysis and association study.

48 A cis-QTL for UDP-glucose pyrophosphorylase activity in the UG

49 ctivity QTL, which distinguishes between cis-QTL in structural genes encoding enzymes and regulatory

50 Arabidopsis thaliana We detected strong cis-QTL for five enzyme activities.

51 to have smaller individual effects than cis-QTL.

52 QTL can particularly discern the role of cis-QTLs, trans-QTLs and their epistatic interactions in gen

53 We detected many colocalized QTL, including a multitrait QTL on chromosome 4 that aff

54 identified intra- and interspecific sex comb QTL, but such overlap can be explained by chance alone,

55 This study shows the strength of combining QTL mapping and RNA-Seq data from a mouse model with ass

56 types with favorable alleles on these common QTLs exhibited reduced En without altered growth.

57 Comparing QTLs for metabolomic and a variety of growth related tra

58 Particularly, EBEN can identify correlated QTLs that the other two algorithms may fail to identify.

59 ependent population genomic data corroborate QTL regions as areas of high differentiation between the

60 these loci to fiber quality and other cotton QTL was demonstrated in two A-subgenome and one D-subgen

61 Among them, a cytokine QTL at the NAA35-GOLM1 locus markedly modulated interleu

62 nt biological pathways that contain cytokine QTLs map to pattern recognition receptors (TLR1-6-10 clu

63 to 17 novel genome-wide significant cytokine QTLs (cQTLs), our study provides a comprehensive picture

64 The cytokine QTLs show enrichment for monocyte-specific enhancers, ar

65 Furthermore, the cytokine QTLs that we identified were enriched among SNPs previou

66 in linkage disequilibrium with heading date QTL in thousands of samples.

67 might achieve high-power and high-definition QTL mapping.

68 confidence interval of a previously detected QTL for berry size.

69 On the basis of these detected QTLs, we estimate that recall-by-genotype studies that u

70 ans-eQTL hotspots coincided with GLS disease QTLs mapped in the same field experiment.

71 n the same region as the major seed dormancy QTL and the dormancy gene DELAY OF GERMINATION 1 (DOG1).

72 DSPR QTL intervals harbor 11-155 protein-coding genes, and we

73 chanisms and candidate genes underlying each QTL.

74 stoid cell lines by combining an RNA editing QTL (edQTL) analysis with an allele-specific RNA editing

75 y panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate

76 alleles of the eight distinct establishment QTL were favored.

77 sed on meta-analysis of previously-estimated QTL effects following Bennewitz and Meuwissen, utilizes

78 Expression QTL (eQTL) analyses showed many associations with genomi

79 Expression QTL analysis of islet transcriptomes from three independ

80 didate gene association analysis, expression QTL analysis and heterogeneous inbred family validation.

81 used previously for both QTL and expression QTL studies.

82 N=166, P=2.3 x 10(-26)) and a cis-expression QTL variant associated with higher DNMT3B expression in

83 ts of SMR analyses performed with expression QTL (eQTL) data.

84 and find signal enrichment in cis expression QTLs in relevant tissues.

85 s by integration with genome-wide expression QTLs (eQTLs) from the same BC population identified ceru

86 The map constructed will facilitate QTL and fine mapping of quantitative traits, map-based c

87 in females from 805 DSPR lines, mapping five QTL (Quantitative Trait Loci) that each contribute 4-5 %

88 The five QTL we isolate collectively explain a considerable fract

89 ynonym Rhodanese) responsible for the Fob3b2 QTL effect on leanness and improved metabolic parameters

90 In practice, the regular approaches for QTL mapping analysis may be adopted for metabolites-phen

91 chromosomes were significantly enriched for QTL.

92 Applicability of linkage map for QTL mapping of three quantitative traits, flag leaf leng

93 The reliability of the linkage map for QTL mapping was demonstrated by co-localizing the genes

94 The imputation approach confirmed the four QTLs found in the SNP-only analysis and identified a fur

95 Twenty-four QTLs improved yield in favorable conditions but showed n

96 We identified high-frequency QTLs and found evidence of selection near genes involved

97 We identified a further QTL, Reduced ABscisic Acid 1 (RABA1) that influenced ABA

98 tified at the principal Speed of Germination QTL (SOG1) in B. oleracea.

99 ified multiple crescentic glomerulonephritis QTL (Crgn) and positionally cloned genes underlying Crgn

100 esis tests, allows the quantification of how QTLs regulate the timing and pattern of vegetative phase

101 The most significant identified QTL affects the emission of (E)-nerolidol, linalool, and

102 oach was applied and successfully identified QTLs regulating seven of those polar metabolites (L-seri

103 netic studies identified several independent QTLs that impact Borrelia-induced cytokine production.

104 and other important quality traits indicated QTL clustered on chromosome 1, 2, 4 and 6 for the AE pop

105 sing initial fitness, but several individual QTLs also have a significant idiosyncratic role.

106 k is to test whether there is an influential QTL around the observed marker instead of just having a

107 and QTL meta-analysis found four integrated QTL across the growth systems.

108 D 8.8) in males and two distinct interacting QTLs (AS-f1 on chromosome 9 and AS-f2 on chromosome11, L

109 affecting aortic stiffness: two interacting QTLs (AS-m1 on chromosome 4 and AS-m2 on chromosome16, L

110 the promoter and coding region of VAC-INVcis-QTL were also detected for ADP-glucose pyrophosphorylase

111 Several key QTLs related to phase change have been characterized, mo

112 genetic markers and quantitative trait loci (QTL) affecting traits of interest is fundamental for the

113 of interest through quantitative trait loci (QTL) analyses.

114 Quantitative trait loci (QTL) analysis identified a total of 131 QTL, and QTL met

115 life stages, mapped quantitative trait loci (QTL) for fitness and its components, and quantified sele

116 Quantitative trait loci (QTL) for O3 tolerance have been identified in model and

117 e identify the main quantitative trait loci (QTL) for two eco-morphological traits: body shape and ph

118 n developmental and quantitative trait loci (QTL) gene expression.

119 rted PPV resistance quantitative trait loci (QTL) intervals, highlighted other potential resistance l

120 ed the "D" locus by quantitative trait loci (QTL) mapping and identified a FLAVONOID 3'5' HYDROXYLASE

121 We apply a quantitative trait loci (QTL) mapping approach to identify genetic variants assoc

122 Quantitative trait loci (QTL) mapping conducted for development traits and other

123 ed and utilized for quantitative trait loci (QTL) mapping for salt tolerance traits and mineral conce

124 panels followed by quantitative trait loci (QTL) mapping in a biparental population.

125 ection, linkage and quantitative trait loci (QTL) mapping, genetic diversity, pedigree analysis, and

126 Linkage and quantitative trait loci (QTL) maps are critical tools for the study of the geneti

127 ilibrium (LD) based quantitative trait loci (QTL) model involves two indispensable hypothesis tests:

128 sms underlying most quantitative trait loci (QTL) responsible for floral differences.

129 nalysis identified mouse genetic trait loci (QTL) that impact the abundances of specific microbes.

130 find that detecting quantitative trait loci (QTL) with HTP phenotyping is as accurate and effective a

131 mapping metabolite quantitative trait loci (QTL).

132 enome-wide scan for quantitative trait loci (QTLs) affecting arterial stiffness in six-week old F2 (D

133 ere used to map the quantitative trait loci (QTLs) affecting ear traits.

134 ping of fruit shape quantitative trait loci (QTLs) and comparison with multiple previous QTL studies.

135 e interplay between quantitative trait loci (QTLs) and development through biologically meaningful ma

136 We map quantitative trait loci (QTLs) and find nonadditive QTLs to outnumber (3:1) addit

137 kers linked to nine quantitative trait loci (QTLs) and simple sequence repeats (SSR) markers linked t

138 viors of two strong quantitative trait loci (QTLs) associated previously with yield components.

139 ition, we found two quantitative trait loci (QTLs) associated with female mate choice that also predi

140 Two quantitative trait loci (QTLs) coincide with previously identified intra- and int

141 o identify a set of quantitative trait loci (QTLs) for investigating the pathways of volatile terpene

142 approach to mapping quantitative trait loci (QTLs) for molecular-level traits.

143 ntially significant quantitative trait loci (QTLs) for two target traits-heading date (HD) and flower

144 apping of molecular quantitative trait loci (QTLs) from pooled samples, a powerful way to link diseas

145 specific regulatory quantitative trait loci (QTLs) lie in chromatin that is open only in the affected

146 is to map the major quantitative trait loci (QTLs) linked to spotted wilt resistance in Florida-EP(TM

147 put DNA sequencing, quantitative trait loci (QTLs) manifest as fragment count differences between ind

148 t is known that 250 quantitative trait loci (QTLs) of the grain are associated with 19 malting-qualit

149 Forty-eight quantitative trait loci (QTLs) of yield were identified by association genetics u

150 ping of white lupin quantitative trait loci (QTLs) revealed polygenic control of vernalization respon

151 series of genes and quantitative trait loci (QTLs) that control complex resistance pathways.

152 p construction, and quantitative trait loci (QTLs) that control differences in flowering time were id

153 tected thousands of quantitative trait loci (QTLs) that influenced gene expression, chromatin accessi

154 oal was to identify quantitative trait loci (QTLs) that regulate the susceptibility to PD-like neurod

155 has identified key quantitative trait loci (QTLs) that suppress the effects of variation at multiple

156 ngival tissues with quantitative trait loci (QTLs) that were identified in a F2-cross of mice resista

157 Five quantitative trait loci (QTLs) were detected that underlay genetic variability in

158 ical and expression quantitative trait loci (QTLs).

159 tified six cytokine quantitative trait loci (QTLs).

160 A combination of quantitative trait locus (QTL) analysis and genome-wide association studies (GWAS)

161 tudy, we performed quantitative trait locus (QTL) analysis, identified and cloned a novel cinnamyl al

162 ibed computational quantitative trait locus (QTL) approach in conjunction with 65 HSV-1 recombinants

163 tegrated method of quantitative trait locus (QTL) dissection with a high-resolution linkage map and m

164 reviously mapped a quantitative trait locus (QTL) for body weight by genome-wide association study (G

165 sistently reported quantitative trait locus (QTL) for FHB resistance breeding.

166 variation through quantitative trait locus (QTL) mapping and allele-specific (AS) analyses.

167 Quantitative trait locus (QTL) mapping identified a QTL on mouse chromosome 10 tha

168 d fine-map a major quantitative trait locus (QTL) on wheat chromosome 5A associated with grain weight

169 A quantitative trait locus (QTL) regulating icas#9 sensitivity includes srx-43, a G-

170 encompass a known quantitative trait locus (QTL) than the rest of the soybean genome.

171 dentified a single quantitative trait locus (QTL) that explains nearly all variation in self-seed set

172 ised with a single quantitative trait locus (QTL) that harbours the FGR gene responsible for the prod

173 a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation i

174 pendent expression quantitative trait locus (QTL), transcriptome, proteome, metagenome and metabolome

175 ly, we developed a quantitative trait locus (QTL)-based computational approach (vQTLmap) to identify

176 Interestingly, the white lupin QTLs did not correspond to previously mapped narrow-leaf

177 method was demonstrated using several maize QTL data sets to provide estimates of additive and domin

178 A major QTL controlling the spotted wilt resistance in Florida-E

179 Combined with phenotypic data, a major QTL flanked by marker AHGS4584 and GM672 was identified

180 There was a major QTL for LRD on chromosome C9 explaining ~18% of the phen

181 mosome A01 and the trait, indicating a major QTL on chromosome A01.

182 The major QTL for establishment and total fitness showed evidence

183 13 HvCBF genes map coincident with the major QTL FR-H2 suggesting them as candidates to explain the f

184 The two major QTLs identified in undomesticated B. distachyon colocali

185 , on chromosome 4H, contains a major malting QTL, QTL2, located near the telomeric region that accoun

186 metabolomics and growth measurements to map QTL in rice, a major staple crop.

187 Our mapped QTL regions encompass 70-124 genes, but do not include t

188 g genome-wide association studies, we mapped QTL for 24 enzyme activities, nine metabolites, three st

189 ntially causative loci present within mapped QTL intervals.

190 Of 49 mapped QTLs, six were for Na(+) exclusion (NAX) and two QTLs (q

191 genes, which were located within the mapped QTLs, showed differential expression.

192 The vast majority of metabolic QTLs had small to moderate effects with significant poly

193 Two metabolomics QTL hotspots had opposing effects on carbon and nitrogen

194 ion data, especially brain eQTL, methylation QTL, brain expression featured in deep categorization of

195 oth traditional GWASs and emerging molecular QTL mapping studies.

196 Most QTLs detected reside within the region of candidate gene

197 Additionally, genes located in mouse QTL for Lactobacillales abundance are implicated in arth

198 Human orthologues of genes in the mouse QTL are implicated in gastrointestinal cancer.

199 We have identified multiple QTLs for fasting glucose and lipid levels.

200 many colocalized QTL, including a multitrait QTL on chromosome 4 that affects six enzyme activities,

201 some 2 A coincided with a reported major NAX QTL (Nax1 or HKT1;4).

202 Two other major NAX QTLs were mapped on 7 A, which contributed 11.23 and 18.

203 tative trait loci (sQTLs), including 619 new QTLs.

204 been reported previously, and are likely new QTLs for PM resistance in U.S. winter wheat.

205 Seventy nine QTLs for flowering time, seed quality and root morpholog

206 ative trait loci (QTLs) and find nonadditive QTLs to outnumber (3:1) additive loci, dominant contribu

207 Four novel QTLs were validated and fine mapped using candidate gene

208 ess research has assessed the arrangement of QTL in the genome within and across species.

209 Our approach showed a pattern of QTL effects expressed as functions of environmental vari

210 s, thereby boosting the statistical power of QTL discovery for important traits in agricultural crops

211 ociation genetics approach for resolution of QTL to candidate genes in apricot and suggests that this

212 extent of colocalization, and the synteny of QTL for ecologically relevant traits, we used a comparat

213 dominated with a relatively modest number of QTLs that have small individual and combined phenotypic

214 One QTL (AS-1 on chromosome 3, LOD 4.3) was found to influen

215 -localizes with the position of at least one QTL mapped in 13 previous studies of lifespan variation

216 s two complementary hypothesis-engaged ones, QTL-based association and gene-based association) were a

217 could harbour candidate genes for phenotypic QTLs, or detect gene-by-environment interactions by comp

218 and 10, which also coincided with phenotypic QTLs for susceptibility to GLS.

219 latory genetic variants in post-GWAS or post-QTL- cloning studies.

220 ominant, and epistatic effects) of potential QTLs for growth traits in a Populus linkage population (

221 ized with previously reported blood pressure QTLs detected in equivalent genetic intercrosses.

222 Dahl rats based upon reported blood pressure QTLs in equivalent (Dahl S x R)-intercrosses.

223 ing 10 candidate genes supported by previous QTL studies and five genes supported by previous gene cl

224 (QTLs) and comparison with multiple previous QTL studies.

225 mass spectrometry confirmed Cp as a protein QTL in rat macrophages.

226 lowering time traits in previously published QTL mapping studies.

227 mapped to within 1 cM of a development rate QTL.

228 In the study, we compared four regular QTL mapping approaches, i.e., simple linear regression (

229 nd that 20% of cell-type-specific regulatory QTLs are in shared open chromatin.

230 kage group 2 which contains a growth-related QTL region.

231 s in hotspots coinciding with GLS resistance QTLs on chromosome 9.

232 genome implicated by earlier, low-resolution QTL scans.

233 We identified a stable and robust QTL associated with a 6.9% increase in grain weight.

234 ed major genomic loci harbouring five robust QTLs mapped on a high-resolution intra-specific genetic

235 arkers are expected to be linked to the same QTL alleles in distances < 50 Kb in both populations due

236 a-6 desaturation is controlled by a separate QTL on chromosome 2.

237 Seven QTLs were identified, four of which have been validated

238 only analysis and identified a further seven QTLs.

239 tion to Ca(+2) and Mg(+2) QTLs, twenty-seven QTLs for tissue Phosphorus, Zinc, Iron, Manganese, Coppe

240 Seventeen QTLs for tree height, diameter at breast height, and ste

241 We have detected several QTL affecting economically important complex traits in a

242 s of developmental-stage-specific and shared QTL.

243 In total, 114 significant QTL were detected, nearly half of them with increasing e

244 Significant QTLs explained 8.20-27.00% of the total phenotypic varia

245 We detected five highly significant QTLs affecting aortic stiffness: two interacting QTLs (A

246 omal region contains the highest effect size QTL for both traits.

247 c data sets or with meta-analyses of smaller QTL data sets which may be derived from bi-parental popu

248 novel method, we also detected 2893 splicing QTLs, most of which have little or no effect on gene-lev

249 These splicing QTLs are major contributors to complex traits, roughly o

250 Two major stable QTLs, one each for flag leaf length (Qfll.hww-7A) and fl

251 over 25-fold lower cost compared to standard QTL mapping.

252 None of these arterial stiffness QTLs co-localized with previously reported blood pressur

253 Ten QTL were highly significant at P < 0.005 level.

254 nteresting, statistical analyses showed that QTL tends to use APA for regulation of gene expression o

255 es potentially responsible for growth in the QTL region; and iv) identified useful SNP markers for se

256 h allows increased resolution in mapping the QTL previously identified in the ILs.

257 umber, distribution, and effect sizes of the QTL involved.

258 nes in an approximately 450-kb region of the QTL.

259 Here we show that the QTL is multigenic and includes alternative alleles of sr

260 Transcriptomic data show that the QTL regions contain genes putatively under selection.

261 We annotated each predicted gene within the QTL and found two strong candidates for SI breakdown.

262 putative causal genetic variants within the QTL, we performed transcriptome sequencing on mature flo

263 Most of the QTLs in the US winter wheat population have been reporte

264 eeding and the markers closely linked to the QTLs can be used in marker-assisted selection to improve

265 ed 11 top-ranked genes tightly linked to the QTLs.

266 Each of these QTL co-localizes with the position of at least one QTL m

267 apping and testing the distribution of these QTL.

268 These QTLs often affect local chromatin and transcription but

269 Thousands of these QTLs have been implicated in genome-wide association stu

270 nced and PCR validated markers tagging these QTLs is immediately applicable for marker-assisted selec

271 The flanking markers of this QTL can be used for further fine mapping and marker assi

272 identify the causal mutations linked to this QTL, expression profiles were determined on livers of hi

273 encoding the terpene synthase TPS2 with this QTL Biochemical characterization of TPS2 verified that t

274 Two ancient haplotypes associated with this QTL confer competitive growth advantages that depend on

275 Three QTLs, explaining in total nearly 50% of the variation in

276 quence repeats (SSR) markers linked to three QTLs for PM resistance.

277 Many of the flowering-time QTLs are detected across a range of photoperiod and vern

278 PVE at 5.4-11.7 LOD) further by traditional QTL mapping.

279 nal QTL approaches, and connects traditional QTL mapping with the newest genotyping technologies.

280 genome, overcomes limitations of traditional QTL approaches, and connects traditional QTL mapping wit

281 emonstrate colocalization of molecular trait QTLs at 345 unique immune disease loci.

282 A quantitative trait (QTL) mapping approach was applied and successfully ident

283 trans-QTL are more frequent but tend to have smaller individua

284 We detected many trans-QTL, including transcription factors, E3 ligases, protei

285 results provide the first examples of trans-QTL effects mediated by protein-protein interactions and

286 genes encoding enzymes and regulatory trans-QTL.

287 icularly discern the role of cis-QTLs, trans-QTLs and their epistatic interactions in gene expression

288 The identification of phase transition QTLs, whose expression is regulated by endogenous and en

289 Eight and twelve QTLs were associated to tolerances to heat and drought s

290 Two QTL, one on SSC12 at 15 Mb and the other on SSC7 at 75 M

291 ric acid and 2, 3-hydroxypropanoic acid).Two QTL mapping approaches were carried out using SNP marker

292 , six were for Na(+) exclusion (NAX) and two QTLs (qSNAX.2 A.1, qSNAX.2 A.2) on chromosome 2 A coinci

293 al approach for mining candidates underlying QTLs of this species; iii) detected eleven genes potenti

294 that are used transparently by MapDisto; (v) QTL detection via a new R/qtl graphical interface.

295 analyses to identify expression variability QTLs (evQTLs), i.e. genomic loci associated with gene ex

296 e identified candidate genes associated with QTL.

297 These cmQTL showed little overlap with QTL for the metabolite levels themselves.

298 Interestingly, four of them colocalized with QTLs for TE.

299 Several genes within QTL intervals are highlighted by our RNAseq data, such a

300 dy will support the cloning of a major yield QTL on chromosome 3B that is highly dependent on environ