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1 able (dichotomised by median onset) and as a quantitative trait.
2 ons between genetic markers and neuroimaging quantitative traits.
3 tween gene-regulatory changes and control of quantitative traits.
4 o estimate the effect of genetic variants on quantitative traits.
5 e and effective method for exploring complex quantitative traits.
6      The method accommodates both binary and quantitative traits.
7 n of novel loci contributing to diseases and quantitative traits.
8 els (LMMs), which are primarily designed for quantitative traits.
9 ributing to naturally occurring variation in quantitative traits.
10 ations in faba bean seeds may be independent quantitative traits.
11  the ability to dissect the genetic basis of quantitative traits.
12 o a wide range of complex human diseases and quantitative traits.
13 ntribute to naturally occurring variation in quantitative traits.
14                                   Expression quantitative trait analyses suggest plausible candidate
15                                   Expression quantitative trait analysis provides tentative evidence
16            We applied the method to existing quantitative trait and binary outcome meta-analyses (hum
17 nity will enhance our understanding of maize quantitative traits and boost crop molecular breeding de
18                      SCOPA can be applied to quantitative traits and categorical phenotypes, and can
19 alyse the effects of SVs on gene expression, quantitative traits and intrinsic reproductive isolation
20 ese structural variant traits are treated as quantitative traits and mapped genetically, analogously
21 opmental disorders, the relationship between quantitative traits and physiological markers has become
22 allow variance in individual trajectories of quantitative traits and their population-level outcomes
23  association between metabolites (treated as quantitative traits) and genetic variants (e.g., SNPs) h
24 yzed large-scale GWAS summary data across 36 quantitative traits, and identified 25 genomic regions t
25 ely, despite the fact that many diseases and quantitative traits are correlated with each other, and
26                                         Many quantitative traits are labile (e.g. somatic growth rate
27                                              Quantitative traits are often influenced by many loci wi
28 c factors responsible for the variations (or quantitative traits) are largely unknown.
29  of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific
30 rred strong stabilizing natural selection on quantitative traits because genetic variation among wild
31 y relevant GO categories associated with the quantitative trait, chill coma recovery time, in the unr
32 acrostructure, delineate regions involved in quantitative traits, complement functional genomic inves
33                      In natural populations, quantitative trait dynamics often do not appear to follo
34 c basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI
35 lity of linkage map for QTL mapping of three quantitative traits, flag leaf length, width, and area,
36 ase chain reaction, we identified Slit2 as a quantitative trait gene whose expression was positively
37                                              Quantitative trait genes have been difficult to analyze
38 enotypes and functional testing of candidate quantitative traits genes (QTGs).
39 ertainty of the genetic model for non-normal quantitative trait genetic association study.
40 ms, enriched for causal variants affecting a quantitative trait in a population with low degree of re
41 sequence association analyses of hematologic quantitative traits in 15,459 community-dwelling individ
42 oci and studying the genetic architecture of quantitative traits in admixed populations.
43                                              Quantitative traits in plants are controlled by a large
44 e elucidation of the genetic architecture of quantitative traits in plants.
45 s for evolution and for our understanding of quantitative traits including complex human diseases.
46 rce will facilitate genetic investigation of quantitative traits, including brain and behavioral phen
47 nge, the complicated genetic architecture of quantitative traits is beginning to be understood.
48 , achieving such a detailed understanding of quantitative traits is important, as it can improve our
49  and found evidence of cis-acting expression quantitative trait loci (cis-eQTL) for 869 expressed gen
50                Mapping cis-acting expression quantitative trait loci (cis-eQTL) has become a popular
51 slet samples to produce dense cis-expression quantitative trait loci (cis-eQTL) maps.
52 o associated with one or more cis-expression quantitative trait loci (cis-eQTLs) and/or splicing eQTL
53  trained to recognize SNVs in cis-expression quantitative trait loci (cis-eQTLs) using a set of 92 ge
54 ites, which we named canalization metabolite quantitative trait loci (cmQTL).
55 a proof of principle, we mapped connectivity quantitative trait loci (cQTLs) using parallel genotype
56 e trait loci (eQTLs) and DNase I sensitivity quantitative trait loci (dsQTLs) in a tissue-specific ma
57 and validated these results using expression quantitative trait loci (eQTL) analysis and clinical phe
58                                   Expression quantitative trait loci (eQTL) analysis is a method to i
59                             Using expression quantitative trait loci (eQTL) analysis, we found that t
60 pe data, we identified 47,587 cis-expression quantitative trait loci (eQTL) and 6,695 trans-eQTL asso
61 al non-coding variants, including expression quantitative trait loci (eQTL) and disease-associated mu
62 nscription factor binding to both expression quantitative trait loci (eQTL) and genome-wide associati
63 n gene expression levels using an expression quantitative trait loci (eQTL) approach.
64 4 cis and 3,791 trans independent expression quantitative trait loci (eQTL) by using linear mixed mod
65   Regulatory feature analysis and expression quantitative trait loci (eQTL) data showed that this loc
66 pplied it to three GWASs and four expression quantitative trait loci (eQTL) datasets.
67 pe and sequence data, such as for expression quantitative trait loci (eQTL) detection, require perfec
68 me-wide mapping identified 25 660 expression quantitative trait loci (eQTL) for 17 311 genes, capturi
69                    The studies of expression quantitative trait loci (eQTL) have shown that regulator
70                        Studies of expression quantitative trait loci (eQTL) indicate that genetic var
71                                   Expression quantitative trait loci (eQTL) mapping is a widely used
72      We identified a depletion of expression quantitative trait loci (eQTL) on the X Chromosome, espe
73 ied functional annotation such as expression quantitative trait loci (eQTL) or Hi-C genome conformati
74 tion studies (GWAS) identify 5311 expression quantitative trait loci (eQTL) regulating the expression
75                       Genome-wide expression Quantitative Trait Loci (eQTL) studies in humans have pr
76 genomics, exemplified by numerous expression Quantitative Trait Loci (eQTL) studies.
77 s well as in a multi-tissue mouse expression quantitative trait loci (eQTL) study where our method in
78 portant to map the aforementioned expression quantitative trait loci (eQTL) using a statistically dis
79 ave facilitated identification of expression quantitative trait loci (eQTL), the genetic determinants
80                           Mapping expression quantitative trait loci (eQTL), we identify 417 response
81 onstrate that lncRNAs overlapping expression quantitative trait loci (eQTL)-associated single nucleot
82 loited while mapping multi-tissue expression quantitative trait loci (eQTL).
83 s SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6
84                                   Expression quantitative trait loci (eQTLs) across all annotated tra
85              We identified 21,183 expression quantitative trait loci (eQTLs) and 6,768 splicing quant
86 (HLCs) for genome-wide mapping of expression quantitative trait loci (eQTLs) and allele-specific expr
87 is-regulatory variation including expression quantitative trait loci (eQTLs) and DNase I sensitivity
88          Conditioned on a tissue, expression quantitative trait loci (eQTLs) are genetic variants ass
89                                   Expression quantitative trait loci (eQTLs) are genetic variants tha
90 ion, some of which corresponds to expression quantitative trait loci (eQTLs) at these loci.
91 MDP, reveals both local and trans expression Quantitative Trait Loci (eQTLs) demonstrating 2 trans eQ
92 ts in 57 GWASs with 24 studies of expression quantitative trait loci (eQTLs) from a broad range of ti
93                     About ~65% of expression quantitative trait loci (eQTLs) have primary effects on
94                                   Expression quantitative trait loci (eQTLs) help to explain the regu
95             The majority of known expression quantitative trait loci (eQTLs) impact expression of loc
96                     We mapped cis expression quantitative trait loci (eQTLs) in 13 tissues via joint
97 and produced the first catalog of expression quantitative trait loci (eQTLs) in a nonhuman primate mo
98 arge-scale epigenomic profiles to expression quantitative trait loci (eQTLs) in a wide range of human
99 of the top signals, we identified expression quantitative trait loci (eQTLs) in whole blood and inves
100 in gene expression are encoded by expression quantitative trait loci (eQTLs) is a key to construct th
101 ociation with disease risk across expression quantitative trait loci (eQTLs) of a gene and use this a
102                       Analysis of expression Quantitative Trait Loci (eQTLs) provides modest support
103                    The mapping of expression quantitative trait loci (eQTLs) revealed that genetic fa
104 , despite much effort made to map expression quantitative trait loci (eQTLs) that affect the expressi
105 predict causal variants for these expression quantitative trait loci (eQTLs) that disrupt transcripti
106           We performed mapping of expression quantitative trait loci (eQTLs) with WGS and RNA-seq, an
107  expression level of a gene, i.e. expression quantitative trait loci (eQTLs), can help us understand
108                                   Expression quantitative trait loci (eQTLs), genetic variants associ
109  gene expression levels, known as expression quantitative trait loci (eQTLs), may improve understandi
110       We define these links using expression quantitative trait loci (eQTLs), methylation quantitativ
111 elected archaic haplotypes act as expression quantitative trait loci (eQTLs), suggesting that modulat
112    GWAS loci are also enriched in expression quantitative trait loci (eQTLs), thus suggesting that mo
113 ction allowed detection of 20 206 expression quantitative trait loci (eQTLs).
114 pe-phenotype correlations such as expression quantitative trait loci (eQTLs).
115 ntify over 6000 unique genes with expression quantitative trait loci (eQTLs).
116 8) and influenza virus-and mapped expression quantitative trait loci (eQTLs).
117 idopsis thaliana, uncovering many expression quantitative trait loci (eQTLs).
118 f these variants can be mapped as expression quantitative trait loci (eQTLs); however, a major limita
119 iate mapping model detected 19 heterochronic quantitative trait loci (hQTLs), of which 15 mediate the
120 t enables accurate prediction of methylation quantitative trait loci (meQTL).
121 quantitative trait loci (eQTLs), methylation quantitative trait loci (meQTLs), chromatin conformation
122 ctions, including the mapping of methylation quantitative trait loci (mQTLs) and haplotype-dependent
123             We characterized DNA methylation quantitative trait loci (mQTLs) in a large collection (n
124      Genome-wide scans for module expression quantitative trait loci (mQTLs) reveal five modules with
125  regions (DMRs) and 3,082 strong methylation quantitative trait loci (mQTLs), most not previously rep
126 sity outbred mice, we identify 2,866 protein quantitative trait loci (pQTL) with twice as many local
127 sis of phenotypic traits of interest through quantitative trait loci (QTL) analyses.
128 lection during different life stages, mapped quantitative trait loci (QTL) for fitness and its compon
129                                              Quantitative trait loci (QTL) for O3 tolerance have been
130 cant involvement of APA in developmental and quantitative trait loci (QTL) gene expression.
131 validated previously reported PPV resistance quantitative trait loci (QTL) intervals, highlighted oth
132      Here, we characterized the "D" locus by quantitative trait loci (QTL) mapping and identified a F
133                                              Quantitative trait loci (QTL) mapping conducted for deve
134 isms (SNPs) was constructed and utilized for quantitative trait loci (QTL) mapping for salt tolerance
135  on two diverse germplasm panels followed by quantitative trait loci (QTL) mapping in a biparental po
136 dies such as mutation detection, linkage and quantitative trait loci (QTL) mapping, genetic diversity
137                                  Linkage and quantitative trait loci (QTL) maps are critical tools fo
138        The linkage disequilibrium (LD) based quantitative trait loci (QTL) model involves two indispe
139 and developmental mechanisms underlying most quantitative trait loci (QTL) responsible for floral dif
140                       We find that detecting quantitative trait loci (QTL) with HTP phenotyping is as
141  has been investigated by mapping metabolite quantitative trait loci (QTL).
142  We further report on mapping of fruit shape quantitative trait loci (QTLs) and comparison with multi
143                                       We map quantitative trait loci (QTLs) and find nonadditive QTLs
144 ified significant SNP markers linked to nine quantitative trait loci (QTLs) and simple sequence repea
145 utive and responsive behaviors of two strong quantitative trait loci (QTLs) associated previously wit
146                    In addition, we found two quantitative trait loci (QTLs) associated with female ma
147 ssociation study (GWAS) to identify a set of quantitative trait loci (QTLs) for investigating the pat
148     While most cell-type-specific regulatory quantitative trait loci (QTLs) lie in chromatin that is
149 asured using high-throughput DNA sequencing, quantitative trait loci (QTLs) manifest as fragment coun
150                         It is known that 250 quantitative trait loci (QTLs) of the grain are associat
151                       Mapping of white lupin quantitative trait loci (QTLs) revealed polygenic contro
152 sponses are conferred by series of genes and quantitative trait loci (QTLs) that control complex resi
153 NP markers for genetic map construction, and quantitative trait loci (QTLs) that control differences
154 allele-specific method detected thousands of quantitative trait loci (QTLs) that influenced gene expr
155 enetic variation in yeast has identified key quantitative trait loci (QTLs) that suppress the effects
156 ined RNA-seq data from gingival tissues with quantitative trait loci (QTLs) that were identified in a
157                                         Five quantitative trait loci (QTLs) were detected that underl
158 sions, we identified two major recombination quantitative trait loci (rQTLs) that explain 56.9% of cr
159 tative trait loci (eQTLs) and 6,768 splicing quantitative trait loci (sQTLs), including 619 new QTLs.
160 ng between sample groups and to map splicing quantitative trait loci (sQTLs).
161 otentially tissue-dependent transcript ratio quantitative trait loci (trQTLs) than SRE SNPs in genera
162 Ps) and genome-wide methylation (methylation quantitative trait loci [mQTLs]) were identified.
163 rdiovascular-related protein levels (protein quantitative trait loci [pQTLs]).
164                      The present genome-wide quantitative trait loci analyses explore the cis-regulat
165  expression and methylation were assessed by quantitative trait loci analyses.
166                               The expression quantitative trait loci analysis revealed that ERCC1 rs3
167                                   Expression quantitative trait loci analysis revealed that mRNA leve
168              We mapped cis-acting expression quantitative trait loci and found 24 non-HLA loci that a
169 hich are supported by independent expression quantitative trait loci and gene expression analyses.
170 se substrains and in an F2 cross to identify quantitative trait loci associated with binge eating.
171         We found significant cis-methylation quantitative trait loci at 64% of the 193 CpGs with an e
172 quencies were updated to include the unknown quantitative trait loci based on estimates from the firs
173      Integrating our results with expression quantitative trait loci data, we provide evidence that v
174 GTEx) data set, we implemented an expression quantitative trait loci epistasis analysis to explore th
175 y heart disease at APOB were cis-methylation quantitative trait loci for a low-density lipoprotein ch
176                      Although the search for quantitative trait loci for behaviour remains a consider
177 fic structural variants may be causative for quantitative trait loci for germination and resistance t
178                                    Fifty-two quantitative trait loci for individual and total tocochr
179 ade from 3D plant reconstructions identified quantitative trait loci for standard measures of shoot a
180 lts establish mitochondrial polymorphisms as quantitative trait loci in mammary carcinogenesis, and t
181       We previously discovered 2 overlapping quantitative trait loci in mice, Lsq-1 and Civq-1, that
182 nts for NFAT5 and SLC4A10 are cis expression quantitative trait loci in tissues of the central nervou
183 en of the associated variants had expression quantitative trait loci in whole blood.
184 ovides an important first step to epigenetic quantitative trait loci mapping in genetically identical
185 dentified 18 genomic regions with expression quantitative trait loci of genes correlated with both CA
186 lymorphisms (false discovery rate, 15%) in 4 quantitative trait loci on mouse chromosomes 1, 4, 15, a
187 ese loci competing endogenous RNA expression quantitative trait loci or 'cerQTL', and found that a la
188 uencing gene expression (known as expression quantitative trait loci or eQTLs) is important in unrave
189                                A genome-wide quantitative trait loci scan links parasite growth and h
190 f inflammatory markers using cis-methylation quantitative trait loci single nucleotide polymorphisms.
191    However, the identification of additional quantitative trait loci suggests that greater complexity
192 deconvolution of facial forms, we identified quantitative trait loci that are responsible for canine
193 asidiomycete species complex, is linked to a quantitative trait loci that associates with differences
194 dividuals and identified a set of expression quantitative trait loci that contribute to this variatio
195 salt-sensitive (SS) rats identified specific quantitative trait loci that predispose animals to hyper
196             We identified several metabolite quantitative trait loci that reduce variability for both
197 ical variation, and of using DNA methylation quantitative trait loci to refine the functional and reg
198 egions identified contained known expression quantitative trait loci with putative functional consequ
199      On a biological level, eQTL (expression quantitative trait loci) are genetically complex, exhibi
200   In recent years, multiple eQTL (expression quantitative trait loci) catalogs have become available
201 males from 805 DSPR lines, mapping five QTL (Quantitative Trait Loci) that each contribute 4-5 % to a
202 ked enhancers, by the presence of expression quantitative trait loci, and by allele-specific enhancer
203 by performing genetic risk score, expression quantitative trait loci, and variant*ever-smoking intera
204 pproaches, such as the mapping of expression quantitative trait loci, have helped to identify genes,
205 erent chromosomes, and report 934 expression quantitative trait loci, identified in an independent co
206 alf of PEGs were associated with grain yield quantitative trait loci.
207 sert tomato Solanum pennellii and identified quantitative trait loci.
208    We highlight 16 genes based on expression quantitative trait loci.
209  heritable features coincide with expression quantitative trait loci.
210 s expression (eQTLs) and methylation (mQTLs) quantitative trait loci.
211 organ development were located within mapped quantitative trait loci.
212  have identified selective sweeps underlying quantitative trait loci/genes of important fruit quality
213         rs8192675 was the top cis expression quantitative trait locus (cis-eQTL) for SLC2A2 in 1,226
214 tiple-testing correction in local expression quantitative trait locus (cis-eQTL) studies are a trade-
215 dentified protein-altering or cis-expression quantitative trait locus (cis-eQTL) variants in linkage
216                      We performed expression quantitative trait locus (eQTL) analyses by using abdomi
217                             Using expression quantitative trait locus (eQTL) analyses, we constructed
218                              Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal
219                                   Expression quantitative trait locus (eQTL) analysis in multiple cel
220                                   Expression quantitative trait locus (eQTL) analysis showed suggesti
221  integrate summary-level GWAS and expression quantitative trait locus (eQTL) data with RNA-seq data f
222 of discoveries have uncovered cis-expression quantitative trait locus (eQTL) effects via mass univari
223 mined a role for rs34481144 as an expression quantitative trait locus (eQTL) for IFITM3, with the ris
224 (RNA-seq)-based approach for both expression-quantitative trait locus (eQTL) mapping and the detectio
225  by a single cis- or trans-acting expression quantitative trait locus (eQTL).
226                We used large DNA methylation quantitative trait locus (mQTL) datasets generated from
227 s been extensively studied using metabolomic quantitative trait locus (mQTL) mapping.
228                             A combination of quantitative trait locus (QTL) analysis and genome-wide
229                  In this study, we performed quantitative trait locus (QTL) analysis, identified and
230              We used an integrated method of quantitative trait locus (QTL) dissection with a high-re
231                       We previously mapped a quantitative trait locus (QTL) for body weight by genome
232 , methylation, and histone variation through quantitative trait locus (QTL) mapping and allele-specif
233 ) to identify, validate and fine-map a major quantitative trait locus (QTL) on wheat chromosome 5A as
234                                            A quantitative trait locus (QTL) regulating icas#9 sensiti
235 e likely, respectively, to encompass a known quantitative trait locus (QTL) than the rest of the soyb
236                       We identified a single quantitative trait locus (QTL) that explains nearly all
237 hat all compounds co-localised with a single quantitative trait locus (QTL) that harbours the FGR gen
238 910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with h
239 its, and more than 90 independent expression quantitative trait locus (QTL), transcriptome, proteome,
240                     Recently, we developed a quantitative trait locus (QTL)-based computational appro
241  a multi-omic resource generated by applying quantitative trait locus (xQTL) analyses to RNA sequence
242 gene expression, 2 papers studied expression quantitative trait locus allelic heterogeneity through c
243 ncluding 1000 Genomes imputation, expression quantitative trait locus analyses, and interrogation of
244 ence, a murine smoking model, and expression quantitative trait locus analyses.
245                                   Expression quantitative trait locus analysis linked increased COMMD
246                                   Expression quantitative trait locus analysis of blood pressure loci
247    To prioritize further, we used expression-quantitative trait locus analysis of RNA sequencing from
248                            Here we performed quantitative trait locus analysis, utilizing RNA-seq dat
249                   Through a trans-expression quantitative trait locus analysis, we provide genetic ev
250            METHODS AND We queried expression quantitative trait locus data acquired in 190 human left
251                       We assessed expression quantitative trait locus effects in human lung specimens
252 sue expression consortium for cis-expression quantitative trait locus effects of rs9388451, which rev
253 .124; P<4.5 x 10(-9)), is also an expression quantitative trait locus for BCHE (butyrylcholinesterase
254  brain regions and harbours a cis-expression quantitative trait locus for EFCAB5 (P=3.4 x 10(-20)).
255                        Replicable expression quantitative trait locus functionality was identified fo
256 essenger RNA expression and brain expression quantitative trait locus functionality were determined.
257                                        Using quantitative trait locus mapping and heterologous expres
258                          Using an epigenetic quantitative trait locus mapping approach, we were able
259                                              Quantitative trait locus mapping of a Pla-1 X Col-0 F2 p
260          The application of metabolite-based quantitative trait locus mapping using biparental popula
261 amily-based linkage and association studies, quantitative trait locus mapping, analysis of genome syn
262 rved that this polymorphism is an expression quantitative trait locus modulating CHRNA4 expression le
263 uct marker-assisted selection such that each quantitative trait locus of complex trait is in linkage
264 lymorphism rs4523957, which is an expression quantitative trait locus of the human serine racemase (S
265 96029, this gene was mapped to the site of a quantitative trait locus on Ca5 that explained 59% of fl
266      Focusing on facial shape, we resolved a quantitative trait locus on canine chromosome 1 to a 188
267   We mapped a single genome-wide significant quantitative trait locus on chromosome 11 (logarithm of
268                                          The quantitative trait locus on distal Chr 13 contained a si
269 ns indicated that the drl loci reside within quantitative trait locus regions for leaf angle, leaf wi
270 on, brain imaging and fetal brain expression quantitative trait locus studies prioritize SLC35B1 and
271  as a positional candidate for an expression quantitative trait locus underlying Borrelia burgdorferi
272 report the cloning and characterization of a quantitative trait locus, GL4, controlling the grain len
273                                            A quantitative trait locus, qMdr9.02, associated with resi
274                                      A major quantitative trait locus, Scmv1, has been identified to
275                      This imputed expression quantitative trait locus, termed impeQTL, was also shown
276 cted will facilitate QTL and fine mapping of quantitative traits, map-based cloning, comparative mapp
277       CNVs make substantial contributions to quantitative traits, most notably intracellular amino ac
278 ide association studies (GWAS) are robust in quantitative trait nucleotide (QTN) detection, the absen
279 e the state-of-the-art procedure to identify quantitative trait nucleotides (QTNs) associated with co
280 l tests were conducted to identify imprinted quantitative trait nucleotides (QTNs) associated with re
281                   The authors interrogated a quantitative trait of CP (mean interproximal clinical at
282 reasingly being modeled as a function of the quantitative traits of species, which are used as proxie
283 sk SNPs underlying complex human phenotypes (quantitative traits or diseases).
284 gh changes in gene expression that influence quantitative traits, or through the regulation of the ep
285                                            A quantitative trait (QTL) mapping approach was applied an
286 eotide polymorphisms (SNPs) and neuroimaging quantitative traits (QTs) is one major task in imaging g
287  single nucleotide polymorphisms (SNPs)) and quantitative traits (QTs) such as brain imaging phenotyp
288  approximately 3,000 individuals we obtained quantitative traits related to 9 of the ordinal phenotyp
289 20 different genetic association studies for quantitative traits related to complex diseases, conduct
290 e association of them with pre-eclampsia and quantitative traits relevant for the disease.
291 H9308) was constructed for identification of quantitative trait SNPs (QTSs) associated with two impor
292 aditional models of GxE in a case-control or quantitative trait study as well as alternative approach
293 ently limited by incremental improvements in quantitative traits that often rely on laborious selecti
294 ortant traits, (b) deepened understanding of quantitative traits through new analytical models and po
295 nd it required 1.75 hr for the analysis of a quantitative trait using several rare variant aggregate
296                 Mapping gene expression as a quantitative trait using whole genome-sequencing and tra
297 derpinning variant association with platelet quantitative traits using cell type-matched epigenomic d
298 ting genetic interactions that contribute to quantitative trait variation in a large yeast intercross
299 better represent the genetic architecture of quantitative traits, which likely involve some large eff
300 nd provide desirable prediction accuracy for quantitative traits, with universal applications under w

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