ライフサイエンスコーパス: genetic association study

1 0 cases, 54 controls, 56 not included in the genetic association study).

2 and comorbid SD were included in a two-stage genetic association study.

3 and 317 healthy subjects for a case-control genetic association study.

4 t for MAP2K7 as a candidate gene came from a genetic association study.

5 type 2 diabetes and obesity in a large U.K. genetic association study.

6 1x10(-3) to <1x10(-8) in a prior independent genetic association study.

7 etic model for non-normal quantitative trait genetic association study.

8 This was a family- and cohort-based genetic association study.

9 Case-control genetic association study.

10 ne model and performed a translational human genetic association study.

11 DL)3 has been strongly linked with asthma in genetic association studies.

12 through both animal model studies and human genetic association studies.

13 can then be used for association testing in genetic association studies.

14 studies, Mendelian randomization studies and genetic association studies.

15 ral network is proposed for use in analyzing genetic association studies.

16 the estimate of the genetic effect in cancer genetic association studies.

17 tudies of human evolutionary history and for genetic association studies.

18 and subtypes and to provide rich targets for genetic association studies.

19 e statistical power of samples recruited for genetic association studies.

20 a fraction of the cost, facilitating future genetic association studies.

21 tors can inform heritability estimations and genetic association studies.

22 demonstrate the importance of validation in genetic association studies.

23 effect against nicotine dependence in human genetic association studies.

24 an be used to detect population structure in genetic association studies.

25 leotide polymorphisms (SNPs) discovered from genetic association studies.

26 e proposed framework has applications beyond genetic association studies.

27 orrectly modeling populations and performing genetic association studies.

28 trichiasis (TT) have been identified through genetic association studies.

29 ly recommended practice for population-based genetic association studies.

30 yping necessary to obtain adequate power for genetic association studies.

31 g been recognized as a confounding factor in genetic association studies.

32 ant to understanding and contextualizing new genetic association studies.

33 control measures and replication efforts in genetic association studies.

34 SNP selection for disease classification in genetic association studies.

35 ncorporate this data as prior information in genetic association studies.

36 sist in screening PubMed abstracts for human genetic association studies.

37 y curated and updated literature database of genetic association studies.

38 ies have resulted in an increasing number of genetic association studies.

39 nformation in a single appealing graphic for genetic association studies.

40 effectiveness of various design options for genetic association studies.

41 produces high-quality plots of results from genetic association studies.

42 to detect and map quantitative trait loci in genetic association studies.

43 mmon functional sequence variants at ACRs in genetic association studies.

44 poAV plasma levels, consistent with existing genetic association studies.

45 the need for multicenter collaborations for genetic association studies.

46 mpirical LD surveys and has implications for genetic association studies.

47 dered as a key for overcoming bottlenecks of genetic association studies.

48 f systemic sclerosis, or targeted for future genetic association studies.

49 ructure of human variation and the design of genetic association studies.

50 aluate the performance of the new method for genetic association studies.

51 to cryptic substructure in population-based genetic association studies.

52 nd discuss methods of design and analysis of genetic association studies.

53 publicly available results from large-scale genetic association studies.

54 riants were investigated in meta-analyses of genetic association studies.

55 antage for identifying rare risk variants in genetic association studies.

56 individuals has become standard practice in genetic association studies.

57 ortant step in the evaluation of findings of genetic association studies.

58 or comprehensive and systematic follow-up of genetic association studies.

59 iants of complex human disease phenotypes in genetic association studies.

60 ecause it determines sampling strategies for genetic association studies.

61 y populations have been under-represented in genetic association studies.

62 posed to account for multiple comparisons in genetic association studies.

63 should be considered in any meta-analysis of genetic association studies.

64 ation stratification is a growing concern in genetic-association studies.

65 patient group could be another approach for genetic-association studies.

66 In this case-control genetic association study, 336 patients with cCSC and 13

67 Although genetic association studies account for a substantial pr

68 Several clinical genetic association studies along with multi-modal evide

69 In genetic association studies, analyses integrating data o

70 There are similarities between genetic association studies and classic epidemiological

71 opulation structure analysis is important to genetic association studies and evolutionary investigati

72 udies, Mendelian syndromes, linkage studies, genetic association studies and expression studies.

73 icated in inflammatory bowel disease by both genetic association studies and functional studies in kn

74 lations, which could influence the design of genetic association studies and national biobank data co

75 The methods are applicable to other types of genetic association studies and nongenetic studies.

76 f targeting intermediate brain phenotypes in genetic association studies and the growing importance o

77 be used to improve case-control matching in genetic association studies and to reduce the risk of sp

78 eneral community by performing a large-scale genetic association study and to assess its functional s

79 illustrate why it represents a challenge for genetic association studies, and briefly discuss how it

80 s in obtaining robust, replicable results in genetic association studies are almost certainly because

81 Large-scale genetic association studies are carried out with the hop

82 Genetic association studies are central to efforts to id

83 Large-scale genetic association studies are now widely conducted usi

84 Although most genetic association studies are performed with the inten

85 Genetic association studies are rapidly becoming the exp

86 ct provides an unprecedented opportunity for genetic association studies at the genomewide level for

87 g targets but also attractive candidates for genetic association studies because they are more polymo

88 for summary-level findings produced by human genetic association studies, both large and small.

89 he complement system in MDs was suggested by genetic association studies, but direct functional conne

90 ions inform the design and interpretation of genetic association studies, but few programs are tailor

91 DL3) has been strongly linked with asthma in genetic association studies, but its function in asthma

92 Collecting cases for case-control genetic association studies can be time-consuming and ex

93 In addition, genetic association studies commonly adopt case-control

94 A genetic association study comparing patients with an ele

95 The increasing number of genetic association studies conducted in multiple popula

96 Here we review genetic association studies conducted to search for DNA

97 Lung, and Blood Institute's Next Generation Genetic Association Studies Consortium has used induced

98 Genetic association studies demonstrated a role for cyto

99 One type of genetic association study design compares polymorphisms

100 ex-specific differences is useful in guiding genetic association study design, for example when using

101 vides a novel quantitative endophenotype for genetic association studies directed towards identifying

102 inst spurious associations that can arise in genetic association studies due to allelic association a

103 nfounding on the analysis of high-throughput genetic association studies, e.g. (whole-genome) sequenc

104 ation of individual ancestry is important in genetic association studies, especially when a large num

105 ever, such an assumption may not be valid in genetic association studies, especially when complex int

106 rove the prognosis for the utility of murine genetic association studies for biomedical discovery.

107 for developing novel analytical methods for genetic association studies for DNA sequence data.

108 digm, we present the results of 20 different genetic association studies for quantitative traits rela

109 udy underlines the importance of replicating genetic association studies for rare diseases in large i

110 rly updated online database of all published genetic association studies for schizophrenia ('SzGene')

111 -environment interactions are of interest in genetic association studies for several reasons.

112 act, Gene Prospector included more published genetic association studies for the 13 leading candidate

113 We conducted a genetic association study for aPTT in 9719 EAs and 2799

114 nd Septic Shock Trial cohort, we performed a genetic association study for survival, mortality, and o

115 for the assessment of cumulative evidence in genetic association studies, four of the significant res

116 nxiety disorders, including the evolution of genetic association studies from genetic epidemiology to

117 Incorporating family data in genetic association studies has become increasingly appr

118 orphisms (SNPs) across the human genome in a genetic association study has identified three psoriasis

119 Genetic association studies have become standard approac

120 Many genetic association studies have been reported, but few

121 Genetic association studies have been used to map diseas

122 Genetic association studies have explained only a small

123 Historically, genetic association studies have focused on characterizi

124 eveal biological mechanisms for results from genetic association studies have great potential to bett

125 ave improved as the sample size and scale of genetic association studies have grown.

126 ability; despite its high genetic component, genetic association studies have had limited success det

127 nsidered heritable traits, although previous genetic association studies have had limited success in

128 However, human genetic association studies have had variable outcomes b

129 Large-scale genetic association studies have identified >20 rheumato

130 Genetic association studies have identified 21 loci asso

131 Genetic association studies have identified 215 risk loc

132 Recent genetic association studies have identified 55 genetic l

133 Recent human genetic association studies have identified changes occu

134 While multiple genetic association studies have identified KL polymorph

135 Genetic association studies have identified not only hun

136 Genetic association studies have identified sequence var

137 New findings from genetic association studies have identified several pote

138 uch reactions involve immune mechanisms, and genetic association studies have identified strong linka

139 Over the past decade, genetic association studies have largely focused on comm

140 Recent genetic association studies have made progress in uncove

141 Genetic association studies have not yet identified nove

142 Genetic association studies have provided evidence conce

143 Genetic association studies have shown a 2-fold or great

144 Human genetic association studies have shown gene variants in

145 1, IFNlambda2, and IFNlambda3 act antiviral, genetic association studies have shown that expression o

146 While genetic association studies have successfully identified

147 Genetic association studies have successfully revealed a

148 Genetic association studies have used variants in the C-

149 Genetic association studies have yielded a wealth of bio

150 rast to many other common diseases for which genetic association-studies have successfully revealed c

151 ed models have become the tool of choice for genetic association studies; however, standard mixed mod

152 In a genetic association study, if a substantial proportion o

153 Evidence from genetic association studies implicate genes involved in

154 Genetic association studies implicated variants in loci

155 ysis of human population history or used for genetic association studies in admixed individuals.

156 Genetic association studies in admixed populations are u

157 t consideration and advantage for performing genetic association studies in admixed populations.

158 RATIONALE: Genetic association studies in chronic obstructive pulmo

159 For genetic association studies in designs of unrelated indi

160 ed to follow up on GWAS findings and conduct genetic association studies in diverse populations.

161 merging as a method of choice for conducting genetic association studies in humans and other organism

162 However, genetic association studies in inbred model organisms ar

163 rategy to securely perform meta-analysis for genetic association studies in large consortia.

164 Genetic association studies in oncology often use tumor

165 matically synthesized and graded evidence of genetic association studies in schizophrenia.

166 This suggests that the power of genetic association studies in some complex traits will

167 nd show the potential for new discovery from genetic association studies in South Asians, a populatio

168 implications for the design and analysis of genetic association studies in structured populations.

169 d database that comprehensively catalogs all genetic association studies in the field of Alzheimer di

170 We performed a genetic association study in 15,256 cases and 47,936 con

171 We performed a genetic association study in 469 community-acquired pneu

172 Moreover, a genetic association study in a haloperidol-treated human

173 Genetic association study in an Ohio National Guard long

174 This first POAG genetic association study in black South Africans has th

175 tween genotype and endotoxin exposure in the genetic association study in relation to symptomatic air

176 h NCI in HIV-infected adults and performed a genetic association study in the CNS HIV Antiretroviral

177 Evidence from genetic-association studies in conjunction with the demo

178 difficulty is particularly salient in human genetic association studies, in which phenotypic variati

179 This genotype-phenotype genetic association study included replication samples a

180 g areas: identification of new genes through genetic association studies, including genome-wide assoc

181 As genetic association studies increase in size to 100 000s

182 Genetic association studies increasingly rely on the use

183 Most KIR-HLA genetic association studies indicate a primary influence

184 Genetic association studies indicate that a genetic locu

185 ccumulating data, including those from large genetic association studies, indicate that alterations i

186 Although large-scale genetic association studies involving hundreds to thousa

187 Synthesis of data from published human genetic association studies is a critical step in the tr

188 Evidence from genetic association studies is accumulating rapidly.

189 versus persistent infections for large-scale genetic association studies is highlighted.

190 A dominant approach to genetic association studies is to perform univariate tes

191 first and most important steps in planning a genetic association study is the accurate estimation of

192 standard method of measuring this bias in a genetic association study is to compare the observed med

193 rly for subsequent time-to-event analysis in genetic association studies, is unknown.

194 For analysis of case-control genetic association studies, it has recently been shown

195 r to control the family-wide Type 1 Error in genetic association studies, it is not clear which metho

196 Genetic association studies may allow us to determine th

197 Genetic association studies may help elucidate their ori

198 Contemporary genetic association studies may test hundreds of thousan

199 The OCD Collaborative Genetics Association Study (OCGAS) is comprised of compr

200 importance of considering local ancestry in genetic association studies of admixed populations.

201 the literature and assessed the evidence on genetic association studies of aggression and related ou

202 rs are currently available for the design of genetic association studies of binary phenotypes and qua

203 Early genetic association studies of biological candidate gene

204 genesis of IgA nephropathy, but results from genetic association studies of candidate genes are incon

205 Genetic association studies of common disease often rely

206 tabase of human genetic variation for use in genetic association studies of common diseases.

207 tion that these patterns would be useful for genetic association studies of common diseases.

208 e of including diverse populations in future genetic association studies of complex traits such as li

209 Importantly, human genetic association studies of different AD cohorts led

210 Previous genetic association studies of human immunodeficiency vi

211 Genetic association studies of local adaptation combine

212 Genetic association studies of multiple populations inve

213 sible impact of population stratification in genetic association studies of outbred populations, such

214 Genetic association studies of prostate and other cancer

215 Genetic association studies of psychiatric outcomes ofte

216 genotyping is used to increase efficiency in genetic association studies of quantitative traits by ge

217 cular bases of vision have been made through genetic association studies of rare inherited maculopath

218 ility have been identified by means of large genetic association studies of refractive error.

219 Previous genetic association studies of serum cotinine have focus

220 Genetic association studies of single-nucleotide polymor

221 tion structure is necessary to avoid bias in genetic association studies of susceptibility variants f

222 ntegrate informative data from all available genetic association studies of this trait, irrespective

223 friendly software for power calculations for genetic association studies of time to event outcomes, w

224 To date, most genetic association studies of tobacco use have been con

225 Genetic association studies of transplantation outcomes

226 The authors carried out a genetic association study of 14 schizophrenia candidate

227 We performed a large-scale genetic association study of 2189 ICH cases and 4041 con

228 Results were confirmed in a genetic association study of children from Brazil with t

229 This is the first large-scale genetic association study of circulating NT-proANP level

230 This was a case-control genetic association study of HTT CAG allele size in two

231 This is the first large-scale genetic association study of proteins in plasma measured

232 This first genetic association study of RRD supports a polygenic co

233 We conducted a genetic association study of the biomarker in African Am

234 We performed a genetic association study of the MYP3 locus in a family-

235 heterogeneity on type I and type II error in genetic-association studies of unrelated individuals.

236 Genetic association studies offer an opportunity to find

237 Genetic association studies often sample individuals wit

238 Although genetic association studies often test multiple, related

239 We conducted a genetic association study on 523 participants to establi

240 Thus, we carried out a genetic association study on the sample of 702 consecuti

241 tial detrimental nsSNPs may be identified by genetic association studies or by functional analysis in

242 ute further proof of the value of conducting genetic association studies outside the traditional sett

243 ential source of concern in population-based genetic association studies, particularly in recently ad

244 This review discusses genetic association studies, particularly those publishe

245 genetic data is motivated by applications in genetic association studies, population genetics and per

246 scovering causal genetic variants from large genetic association studies poses many difficult challen

247 s one of the major sources of confounding in genetic association studies, potentially causing false-p

248 Genetic association studies provide evidence for a subst

249 enetic variation: candidates identified from genetic association studies, rare single gene mutations

250 tematic review was performed and included 84 genetic association studies reporting data for 183 polym

251 poorly understood with the vast majority of genetic association studies reporting on single candidat

252 Genetic association studies reproducibly suggest involve

253 Large-scale, multilocus genetic association studies require powerful and appropr

254 Our software for secure meta-analysis of genetic association studies, SecureMA, is publicly avail

255 within 15 mouse strains previously used for genetic association studies, sequencing and the Mouse Ph

256 esource can guide the design and analysis of genetic association studies, shed light on structural va

257 As the focus of genetic association studies shifts to rare variants, gen

258 Epidemiological and genetic association studies show that genetics play an i

259 al gene(s) to a risk variant identified by a genetic association study such as a GWAS.

260 Genetic association studies, such as recent genome-wide

261 Recent family, twin, and genetic association studies suggest a genetic basis for

262 Genetic association studies suggest that variations in t

263 The current genetic association study tested the circadian gene hypo

264 e system in the development of MS, including genetic association studies that have now dramatically e

265 cture have not been addressed in most of the genetic association studies that provide the knowledge b

266 We introduce a novel test statistic for genetic association studies that uses Shannon entropy an

267 Large-scale genetic-association studies that take advantage of an ex

268 sms (SNPs) across the human genome have made genetic association studies the mainstream for gene mapp

269 In recent human genetic association studies, this single-nucleotide poly

270 Genetic association studies to date have not identified

271 The entirety of genetic association studies to date that focus on respon

272 t overall effects which will require further genetic association studies to provide definitive eviden

273 ng technologies have made feasible empirical genetic association studies to search for rare disease s

274 velopmental diseases such as autism, linking genetic association studies to specific molecular pathwa

275 rosis Genetics Consortium study, the largest genetic association study to date for MS (including up t

276 ast array of summary data now available from genetic association studies, to test formally for locus

277 xture mapping, a novel method for conducting genetic-association studies, to find a region that was s

278 Case-control genetic association studies typically ignore possible la

279 thways by performing family and case-control genetic association studies using clearly affected famil

280 gradient directed regularization) method to genetic association studies using SNPs, analyze data fro

281 A multistage genetic association study was conducted of three critica

282 A genetic association study was performed in 474 children

283 A genetic association study was performed, which identifie

284 Turning to genetic association studies, we survey the main ways tha

285 As an important first step to a genetic association study, we sought to identify all com

286 develop a more powerful statistical test for genetic-association studies, we combined evidence about

287 Genetic association studies were included if outcome dat

288 timating individual ancestry is important in genetic association studies where population structure l

289 med to analyze Affymetrix SNP arrays data in genetic association studies, where different types of st

290 Genotype imputation is a key component of genetic association studies, where it increases power, f

291 s problem arises in many settings, including genetic association studies, where the explanatory varia

292 technologies are being increasingly used for genetic association studies, where the main research int

293 Genetic association studies which survey the entire geno

294 Such large-scale genetic association studies will promote better understa

295 We conclude that in large genetic association studies with complex sampling scheme

296 Our results suggest that most published genetic association studies with economic and political

297 h groups worldwide have published over 1,000 genetic association studies with largely inconsistent re

298 Thus, coupling multiple genetic association studies with mechanistic dissection

299 In large-scale genetic association studies with tens of hundreds of sin

300 families with PINK1 p.G411S and conducted a genetic association study with 2560 patients with Parkin