ライフサイエンスコーパス: association analyses

1 uperior to SNPs and are promising in genetic association analyses.

2 g linear mixed models to perform genome-wide association analyses.

3 and then regress out these components in the association analyses.

4 austive univariate and epistatic interaction association analyses.

5 the presence of linkage (APL) were used for association analyses.

6 ffects that escape the standard single-locus association analyses.

7 Family studies permit both linkage and association analyses.

8 ignificant association signals in single SNP association analyses.

9 mily studies, using segregation, linkage and association analyses.

10 nome-wide linkage map and quantitative trait association analyses.

11 ts were genotyped in 1,037 Pima subjects for association analyses.

12 6 full-blooded, nondiabetic Pima Indians for association analyses.

13 and the statistical power of haplotype-based association analyses.

14 de-polymorphism markers for fine mapping and association analyses.

15 on the basis of pooled-sample microarray and association analyses.

16 ht identify this and thus improve downstream association analyses.

17 for subsequent locus-specific genotyping and association analyses.

18 available sequence data, and linkage and/or association analyses.

19 impacts on downstream bioinformatics and CNV association analyses.

20 e for genotyping in 270 trios and subsequent association analyses.

21 genome-wide association studies and genetic association analyses.

22 51, as revealed by reporter gene and protein association analyses.

23 pulation structure are known to confound the association analyses.

24 ntly big sample sizes for adequately powered association analyses.

25 nt and burden tests and performs conditional association analyses.

26 ally higher quality data for common and rare association analyses.

27 genotypes to generate additional markers for association analyses.

28 ods are lacking to perform joint multi-locus association analyses across more than one gene/region.

29 ignal at D9S288; furthermore, pedigree-based association analyses also implicated the 9p24 candidate

30 nd, we conducted ethnic-specific genome-wide association analyses among 1235 Hispanic, 706 Asian, 154

31 Population-based case-control association analyses and meta-analyses were performed.

32 reference haplotypes to perform genome-wide association analyses and observe 17 genome-wide signific

33 used logistic regression for cross-sectional association analyses and proportional hazards regression

34 rk highlights the value of iPSCs for genetic association analyses and provides a unique resource for

35 hod to increase power in large-scale genomic association analyses and report a novel variant associat

36 We performed haplotype association analyses and tested for gene-by-environment

37 kelihood ratio test and permutation test) in association analyses, and all yielded similar results.

38 for climate modelling and trait/environment association analyses, and decentralized participatory im

39 us allelic heterogeneity through conditional association analyses, and epistasis through interaction

40 we show that the powers of both linkage and association analyses are crucially dependent on the prop

41 Alternatively, gene set or pathway association analyses are playing an increasingly importa

42 addition to evaluating main exposure-disease associations, analyses are also conducted to evaluate wh

43 dominant paradigms for gene set analyses are association analyses based on SNP genotypes and those ba

44 Genome-wide association analyses between genetic polymorphisms and P

45 Association analyses between the SNPs and GFR and type 2

46 We then stratified the SNCA association analyses by LRRK2 genotype.

47 ethods to deal with these issues, and 3) how association analyses complement linkage analyses.

48 related traits jointly, most of the previous association analyses considered each phenotype separatel

49 In follow-up association analyses, correcting for all tests performed

50 Genetic association analyses demonstrate that the alterations in

51 Family-based association analyses detected significant evidence of as

52 Family-based association analyses detected significant evidence of as

53 Genomewide or linkage-directed association analyses did not detect common variants cont

54 Association analyses divided isolates into two well-defi

55 Although there are programs to perform association analyses, e.g. PLINK and GenABEL, they canno

56 In association analyses, family-based tests did not reveal

57 s integrated into microbiome-gene expression association analyses for a subset of individuals.

58 We performed genome-wide association analyses for each body shape composite pheno

59 with FTD and 4308 controls), we did separate association analyses for each FTD subtype (behavioural v

60 ort here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C)

61 Association analyses for individual SNPs as well as hapl

62 protein-1 (MCP-1), we conducted genome-wide association analyses for MCP-1 in 3 independent cohorts

63 sion profiling and carried out a genome-wide association analyses for more than 100,000 gene expressi

64 We here report genome-wide association analyses for narcolepsy with replication and

65 Genome-wide association analyses for PC1-3 were conducted separately

66 We perform association analyses for phenotypes using a univariate a

67 Association analyses for PTSD used logistic regression m

68 we investigate the power of QTL linkage and association analyses for simple random sibship samples,

69 Independent genome-wide association analyses for skeletal dysplasia (short limbs

70 We performed genome-wide association analyses for twenty serum biomarkers involve

71 lation genetics, linkage disequilibrium, and association analyses have shown that specific MAPT H1 su

72 Single-SNP association analyses identified 232 significant associat

73 CGM method identified 5 SBP trajectories and association analyses identified a genome-wide significan

74 Single and multi-association analyses identified a total of 60 SNPs assoc

75 The association analyses identified at least eight genomic r

76 Our association analyses identified more comprehensive sets

77 Both quantitative and dichotomous association analyses implicate a functional variant on a

78 Intriguingly, gene set association analyses implicate biological pathways previ

79 d approach of genetic linkage and positional association analyses implicates tau as a susceptibility

80 erformed SNP and copy number variation (CNV) association analyses in 1,509 children with obesity at t

81 We conducted genome-wide association analyses in 1578 European Americans (EAs), i

82 We performed genome-wide genotype imputation association analyses in 1616 non-Hispanic white (NHW) ca

83 isms (SNPs) were selected for genotyping and association analyses in 2 independent validation cohorts

84 Family-based association analyses in 832 Pima subjects were similarly

85 We performed association analyses in a discovery cohort of 164 patien

86 uding 30 amino acid changes, and carried out association analyses in a subset of 3,665 subjects from

87 confirms the findings of earlier genome-wide association analyses in African American and Latino subj

88 We did association analyses in all participants with dementia w

89 Mutation screening in HPC probands and association analyses in case subjects (a group that incl

90 Additional genotyping and association analyses in GSDs combined with control dogs

91 del organisms with subsequent candidate gene association analyses in human populations.

92 We conducted genome-wide association analyses in nine samples of European ancestr

93 rformed single nucleotide polymorphism (SNP) association analyses in regions of interest.

94 We did a genome-wide association analyses in terms of progression for 216 TRA

95 High-resolution association analyses in the context of chromatin states

96 Genome-wide association analyses in the DGRP and a DGRP-derived outb

97 ng debate over the utility of multiple locus association analyses in the identification of genomic re

98 We report the results of fine-scale association analyses in the population sample, as well a

99 t linkage analyses of additional markers and association analyses in the same region supported the in

100 EHR)-based phenotypes allows for genome-wide association analyses in thousands of traits and has grea

101 Here, we describe fine-scale genetic association analyses in two independent series of Caucas

102 aper in this issue) and targeted replication association analyses in up to 18,554 independent partici

103 We also used family-based association analyses, including recently developed metho

104 Recent linkage studies and association analyses indicate the presence of at least o

105 Further genotype and haplotype association analyses indicated a similar pattern in the

106 -based approach that embeds both linkage and association analyses into a unified framework for genera

107 Association analyses involved 821 individuals (317 for p

108 In between-family association analyses, levels of hyperactive-impulsive sy

109 ddition to sib-pair linkage and case-control association analyses, linkage disequilibrium mapping wit

110 polipoprotein L3 (APOL3), using family-based association analyses of 150 total prostate cancer (PC) c

111 Variance-component association analyses of 534 genotyped subjects from 130

112 bination of whole-genome selection scans and association analyses of 544 Populus trichocarpa trees to

113 48K transcripts) and carried out genome-wide association analyses of 8370 expression phenotypes.

114 Association analyses of 8q24 markers with prostate cance

115 Association analyses of a candidate gene, CHRM2, previou

116 tical evidence for this suggestion came from association analyses of a rare 3'-UTR variant, var321, w

117 Genetic association analyses of AMCase haplotypes for asthma rev

118 Metabolome-wide association analyses of BCAA-raising alleles revealed hi

119 Association analyses of common functional variants of th

120 Genomic association analyses of complex traits demand statistica

121 have important implications for single-locus association analyses of complex traits.

122 NVs to complex phenotypes, we have performed association analyses of expression levels of 14,925 tran

123 By performing whole-exome sequence association analyses of hematologic quantitative traits

124 oposed methods, we performed genome-wide CNV association analyses of hematological trait, hematocrit,

125 e to HapMap SNPs and independently conducted association analyses of hemostasis measures using an add

126 We conducted genome-wide association analyses of mean leukocyte telomere length i

127 Quantitative trait association analyses of mean spherical equivalent refrac

128 of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel o

129 Association analyses of MSE and the spherical component

130 Here, we report the results of genome-wide association analyses of multiple phenotypes and two meas

131 ing approaches that involve joint linkage or association analyses of multiple seemingly disparate phe

132 Association analyses of patients with MDD and controls s

133 rtium has created a resource for genome-wide association analyses of personality traits in more than

134 Genetic association analyses of phenotypic variation in circulat

135 Genetic association analyses of rare variants in next-generation

136 ly matching case and control populations for association analyses of rare variants.

137 eport single- and multiple-trait genome-wide association analyses of self-reported sleep duration, in

138 c group may complicate the interpretation of association analyses of such variants, highlighting the

139 We first performed genetic association analyses of tagging single nucleotide polymo

140 We further performed genome-wide association analyses of the 79 quantitative traits and d

141 In the present study, we extended previous association analyses of the gene cluster to include APOA

142 We performed genome-wide association analyses of the genetic effects while accoun

143 We carried out genome-wide association analyses of these distances and PCs in 2,185

144 Association analyses of these RNA-directed DNA methylati

145 LD assessment in African American population-association analyses, of 5-10 cM.

146 ificant (P<2 x 10(-8)) when conditioning the association analyses on skin color.

147 with low ICC may be excluded from subsequent association analyses, or extra caution needs to be taken

148 h Chinese- and European-specific genome-wide association analyses (P </= 0.003).

149 ificance in the Chinese-specific genome-wide association analyses (P = 4.15 x 10(-14) and 4.30 x 10(-

150 We have developed the "Power for Genetic Association analyses" (PGA) package which comprises algo

151 Combined linkage and association analyses provide compelling evidence for the

152 s test, compatibility matrices, and index of association analyses provided substantial evidence that

153 Association analyses replicated many type 1 diabetes ris

154 age, suggesting that genome-wide surveys for association analyses require SNPs every 100-200 bp.

155 Association analyses resulted in our identifying as a ca

156 Our association analyses revealed a significant excess of th

157 Finally, targeted human genetic association analyses revealed an epistatic interaction b

158 Association analyses revealed no genome-wide significant

159 In 390 U.K. trios, family-based association analyses revealed nominally significant over

160 Association analyses show that haplotypes bearing CDSN*9

161 Site-directed mutagenesis and association analyses show that PGC-1alpha nuclear export

162 Subsequent genetic association analyses showed an increased burden of TIA1

163 Genetic association analyses showed that the presence of common

164 Previous association analyses showed that variation at major regu

165 We performed pairwise association analyses, stratified analyses, and multivari

166 For C. trachomatis, index-of-association analyses suggested a higher degree of recomb

167 Linkage and association analyses suggested that a region of chromoso

168 Association analyses that exploit the natural diversity

169 A from 2738 Amish participants and performed association analyses to determine the effects of the del

170 We report sequencing-based whole-genome association analyses to evaluate the impact of rare and

171 performing both single-SNP and moving-window association analyses to identify a colon neoplasia risk

172 rence Panel (DGRP) and performed genome-wide association analyses to identify candidate genes.

173 We performed association analyses to identify genetic loci influencin

174 the need for adequately powered cohorts for association analyses to identify not only genetic determ

175 a joint and ancestry-stratified genome-wide association analyses to identify variants specifically a

176 the results of applying genetic linkage and association analyses to neuropsychological endophenotype

177 cture are included, this tool can be used in association analyses to provide high-resolution evaluati

178 In genetic association analyses, unstratified and stratified accord

179 Here, we performed genome-wide association analyses using the inbred, sequenced lines o

180 C, we conducted both genome-wide linkage and association analyses, using approximately 400 microsatel

181 Here we report genome-wide association analyses, using genotyped and imputed marker

182 s, followed by family-based and case-control association analyses, using two independent data sets.

183 Association analyses validated reported associations bet

184 The admixture mapping and family-based association analyses were adjusted for age, age(2), sex,

185 Genome-wide association analyses were completed in 2007-2008 and the

186 Pooled association analyses were conducted at the variant and g

187 Association analyses were conducted between MDD polygeni

188 Ancestry-stratified case-control association analyses were conducted for three geneticall

189 Individual association analyses were conducted in each stratum and

190 Association analyses were conducted on 27 single-nucleot

191 Association analyses were conducted using 1,834 individu

192 Association analyses were conducted within each particip

193 Association analyses were first conducted in the family

194 Although genes from the two association analyses were largely nonoverlapping, they m

195 Association analyses were performed in 61 whites.

196 Genome-wide association analyses were performed in pediatric and adu

197 ion, imputation analysis and gender-specific association analyses were performed in the two independe

198 Association analyses were performed on the two HLA-DRB l

199 Association analyses were performed on the whole data se

200 Linkage and association analyses were performed to identify loci aff

201 Regional and genomewide association analyses were performed to search for common

202 Association analyses were performed using Plink software

203 Association analyses were performed using PLINK to compa

204 Association analyses were performed using PLINK to compa

205 Association analyses were performed using univariable an

206 In each sample, the association analyses were performed with all 4 major lip

207 s analyses and population-based case-control association analyses were performed, and the P values, f

208 Association analyses were performed, with systolic, dias

209 association, imputation and gender-specific association analyses were performed.

210 Retrospective survival association analyses were performed.

211 Association analyses were replicated in an independent s

212 Principal components and genotype association analyses were used to derive main clinical f

213 uman neural stem cell line were selected for association analyses with average cortical thickness.

214 Both single SNP and SNP x SNP interaction association analyses with body mass index (BMI) were eva

215 LD structure in a candidate gene followed by association analyses with both SNPs and haplotypes is an

216 romosomal abnormalities in RDD and performed association analyses with clinical data derived from thi

217 tively remove these errors before performing association analyses with complex phenotypes.

218 GWAF, Genome-Wide Association analyses with Family, is an R package design

219 the total sample of 623 subjects followed by association analyses with lipid traits.

220 ontained individuals with diabetes, allowing association analyses with overt disease.

221 We describe a novel approach to genetic association analyses with proteins sub-divided into biol

222 Association analyses with several systemic characteristi

223 Association analyses with the asthma plus rhinitis pheno

224 e reliable, powerful, and convenient genetic association analyses without access to the individual-le

225 ey are not well suited to be used in genetic association analyses without genome-wide data.

226 sitory Network (UNICORN), a means to perform association analyses without necessitating direct access