ライフサイエンスコーパス: polygenic score

1 unannotated genome-wide scores (conventional polygenic scores).

2 sment models as well as the state-of-the-art polygenic score.

3 tion explained above the contribution of the polygenic score.

4 cant after accounting for a left ventricular polygenic score.

5 These 12 variants were used to generate a polygenic score.

6 n between MDD and loneliness and re-computed polygenic scores.

7 had also lost their spouse and who had lower polygenic scores.

8 Genomics Consortium 2 was used to calculate polygenic scores.

9 ormed all available previously published CAD polygenic scores.

10 dictors after accounting for aortic diameter polygenic scores.

11 n be explored in a single individual through polygenic scores.

12 sured by genome-wide-association-study-based polygenic scores.

13 nts and the 2 GWASs were used to construct 8 polygenic scores.

14 ion of ACS over traditional risk factors and polygenic scores.

15 nal genetic proxies for taste and to develop polygenic scores.

16 el for depression, anxiety, neuroticism, and polygenic scores across traits.

17 chizophrenia Consortium, testing whether the polygenic score alleles identified in 1 association stud

18 of sample disease prevalences, we found that polygenic scores almost doubles case prediction from cha

19 ariance in human complex traits explained by polygenic scores, along with progress in preimplantation

20 Polygenic score analyses identified a significant polyge

21 Polygenic score analyses indicate that up to 5% of the v

22 he clinical relevance is uncertain, although polygenic score analyses may provide clues to behavioral

23 Exploratory polygenic score analyses revealed no significant associa

24 tion, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap wit

25 Polygenic score analyses were conducted to investigate t

26 patterns and neurobiological correlates, and polygenic score analyses were used to examine the ways i

27 ), gene and gene set-enrichment testing, and polygenic score analyses, as well as single-nucleotide p

28 Using polygenic score analyses, we show that earlier-onset MDD

29 ncluding genome-wide association studies and polygenic score analyses.

30 A polygenic score analysis found that the Psychiatric GWAS

31 Our polygenic score analysis has identified significant evid

32 Polygenic score analysis tested whether the alleles iden

33 Polygenic score analysis was carried out to determine wh

34 n with esketamine efficacy identified in the polygenic score analysis was from the genetic loading fo

35 Polygenic score analysis was performed as previously des

36 Polygenic score analysis was used to examine whether dif

37 ere shared by both disorders by performing a polygenic score analysis.

38 elop linear regression models containing the polygenic score and 2-SNP interactions.

39 r sample, there was high overlap between the polygenic score and achievement distributions, leading t

40 fined as the association between an additive polygenic score and its associated phenotype-across birt

41 Age-varying associations between polygenic scores and alcohol use were examined from age

42 s-trait liability, calculate more predictive polygenic scores and identify loci that cause divergence

43 hlight both the complexities of interpreting polygenic scores and underappreciated obstacles to their

44 aled a robust association between depression polygenic scores and white blood cell count (B, 0.03; SE

45 te blood glucose were uncovered through both polygenic scoring and TWAS methodologies.

46 lemia mutation, 132 mg/dL in those with high polygenic score, and 122 mg/dL in those in the remainder

47 sing single nucleotide polymorphisms (SNPs), polygenic scores, and epistatic analyses.

48 s including sexual trauma disclosure status, polygenic scores, and their interactions as the independ

49 models were built with a 1.1 million-variant polygenic score (AORTA Gene) and without it.

50 ther AD and MDD overlap genetically, using a polygenic score approach.

51 Prediction accuracy varied across polygenic score approaches, however results were similar

52 lial hypercholesterolemia mutations and high polygenic score are associated with a >3-fold increased

53 Polygenic scores are a popular tool for prediction of co

54 Cluster-specific partitioned polygenic scores are associated with coronary artery dis

55 Consequently, polygenic scores are biased in that they recapitulate en

56 results imply that typical constructions of polygenic scores are sensitive to population stratificat

57 ional matrix equations, and methods that use polygenic scores are very computationally intensive.

58 We defined high polygenic score as the top 5% of the control distributio

59 rdial infarction, 359 (17.3%) carried a high polygenic score, associated with a 3.7-fold (95% CI, 3.1

60 genome-wide association study to calculate a polygenic score based on identified risk variants within

61 Polygenic scores based on 180 SNPs previously associated

62 Moreover, genome-wide polygenic scores based on a previously published genome-

63 Polygenic scores based on family study results were used

64 enetics and sociology are increasingly using polygenic scores based on genome-wide association studie

65 Finally, polygenic scores based on MGS GWAS results for the negat

66 Polygenic scores based on the meta-analysis of neurotici

67 We compare various options for constructing polygenic scores, based on nested or disjoint intervals

68 we propose a fast analytic method that uses polygenic scores, based on the formula for the non-centr

69 Although the polygenic score-based analysis showed a much subtler sig

70 ected in haplotype-based analysis but not in polygenic score-based analysis.

71 iant-based analysis, we used a complementary polygenic score-based approach, which included partition

72 lyses, and (2) that claims of differences in polygenic scores between populations should be treated w

73 A body mass index (BMI) genome-wide polygenic score (BMIGPS) was generated by summing BMI-in

74 Having a higher well-being polygenic score buffered against increased depressive sy

75 This is typically achieved using a single polygenic score, but here we use a multi-polygenic score

76 hasizing genotype-based instruments, such as polygenic scores, but unlike in agriculture, there is an

77 e-environment (GxE) interactions, as well as polygenic score calculations in consortia studies that i

78 Our results suggest that while polygenic scores can be informative for identifying grou

79 Polygenic scores can be used to distil the knowledge gai

80 les frequencies), the prediction accuracy of polygenic scores can depend on characteristics such as t

81 the era of common variant discovery for T2D, polygenic scores can predict T2D in whites and blacks bu

82 ted, cases had significantly lower cognitive polygenic scores compared to controls.

83 We constructed a weighted LDL-C polygenic score, composed of 28 single-nucleotide varian

84 A polygenic score computed from GWA studies of five cognit

85 ects had significantly different genome-wide polygenic scores (computed by weighting their genotypes

86 A polygenic score constructed from our results predicts a

87 A genome-wide polygenic score constructed from the GWA results account

88 level using cross-trait even/odd chromosome polygenic score correlations.

89 Finally, we demonstrate how a retinol polygenic score could identify individuals more likely t

90 to familial hypercholesterolemia and of high polygenic score (cumulative impact of many common varian

91 ld gradient in risk of severe obesity across polygenic score deciles.

92 artners HealthCare Biobank individuals, high polygenic score-defined as the top quintile of the distr

93 th increased risk in all racial groups, high polygenic score demonstrated the strongest association i

94 A polygenic score derived from a meta-analysis of GENDEP a

95 thesized genetic buffer was measured using a polygenic score derived from a published genome-wide ass

96 ing score for 213 samples, incorporating the polygenic score derived from it into a predictive model

97 r Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SN

98 Polygenic scores derived from an ADHD GWAS meta-analysis

99 predictive validity for cognitive ageing of polygenic scores derived from genome-wide association st

100 the association of these phenotypes with two polygenic scores, derived for schizophrenia and intellig

101 D symptoms was examined by assessing 1) ADHD polygenic score (discovery sample ADHD n = 19,099, contr

102 rents of offspring in the upper third of the polygenic score distribution lived 0.55 y longer compare

103 ate the effects of methodological choices in polygenic score distributions for worldwide populations.

104 tail-end deciles of the schizophrenia and IQ polygenic score distributions, 33% versus 9% of individu

105 Genome-wide polygenic scores enable the identification of high-risk

106 est whether such variants, aggregated into a polygenic score, enable genomic risk stratification, and

107 tro fertilization: embryo selection based on polygenic scores (ESPS).

108 When these results are used to construct polygenic scores, even subtle biases can cumulatively le

109 HRS adults with higher well-being polygenic scores experienced fewer depressive symptoms d

110 Dyslexia polygenic scores explained up to 6% of variance in readi

111 Conditional on prior achievement, polygenic scores failed to accurately predict later achi

112 000 traits showed multiple links between the polygenic score for aortic valve disease and key health-

113 A polygenic score for ascending aortic diameter was associ

114 f socioeconomic status (SES) and genome-wide polygenic score for BMI to explaining variation in BMI.

115 for multiple conventional risk factors and a polygenic score for CAD.

116 Each SD increase in the polygenic score for carbohydrate preference was associat

117 Adding a polygenic score for coronary artery disease to clinical

118 scertainment of both monogenic mutations and polygenic score for each individual.

119 ized beta-values = -0.178 to 0.302), and the polygenic score for education was associated with cognit

120 Here we used a polygenic score for educational attainment (EduYears-PGS

121 A polygenic score for FMR was associated with an increased

122 A polygenic score for GrimAge acceleration showed strong a

123 d miR-199b-5p-and 4 miRNAs associated with a polygenic score for HbA1c levels-miR-216a, miR-25, miR-3

124 pic effects of TSH-associated variants and a polygenic score for higher TSH levels is associated with

125 enetic pleiotropy; in the best-fit model the polygenic score for intelligence explained 0.99% (p = 0.

126 ve symptom scores) and genotypic depression (polygenic score for major depressive disorder).

127 ng in the top 10% versus the bottom 90% of a polygenic score for multisite chronic pain had an effect

128 A polygenic score for neurodevelopmental conditions showed

129 ate the relationship between an individual's polygenic score for PD risk alleles and disease age at o

130 A polygenic score for plasma sodium concentration was asso

131 tability; and 3) examine the relationship of polygenic score for schizophrenia with baseline startle

132 A polygenic score for TSH is associated with TSH levels in

133 pression of 13% of the genes correlated with polygenic scores for 1,263 phenotypes, pinpointing poten

134 Among 5399 Arab patients, we optimize polygenic scores for 10 cardiometabolic traits, achievin

135 mmon genetic variants considered en masse as polygenic scores for ADHD are especially enriched in chi

136 r accounting for potential genetic confounds-polygenic scores for anxiety, depression, and neuroticis

137 lestones, occurrence of language regression, polygenic scores for cognitive ability and autism, rare

138 A concordant result was obtained by using polygenic scores for each cluster to relate apoB to CHD

139 The increasing predictive power of polygenic scores for education has led to their promotio

140 ling records, we investigated how accurately polygenic scores for education predicted pupils' test sc

141 By contrast, polygenic scores for educational attainment and cognitiv

142 olygenic score prediction, and conclude that polygenic scores for educational attainment and intellig

143 In ARIC, polygenic scores for MDD and loneliness were associated

144 Polygenic scores for MDD and loneliness were developed f

145 0; P 4.51 x 10(-6)) per 1-SD increase in the polygenic scores for MDD and loneliness, respectively.

146 nally, we illustrate the modifying effect of polygenic scores for platelet count and thrombosis risk

147 eference point, we also predicted individual polygenic scores for related phenotypes and 13 different

148 s and also highlight the future potential of polygenic scores for risk stratification among individua

149 lly documented sexual trauma disclosures and polygenic scores for schizophrenia, bipolar disorder, an

150 Polygenic scores for several other psychiatric disorders

151 e GWAS summary data were also used to create polygenic scores for the two traits, with within- and cr

152 Polygenic scoring found no convergence among multiple as

153 A polygenic score from the case-control genetic associatio

154 fying common variant signals for BD, and the polygenic score from the latest genome-wide association

155 We calculated polygenic scores from genome-wide association studies (G

156 Polygenic scores from genomic SEM consistently outperfor

157 organized factor scores were correlated with polygenic scores generated using case-control GWAS resul

158 model the association between a genome-wide polygenic score (GPS) for BMI and BMI, while generalized

159 igned, optimized and validated a genome-wide polygenic score (GPS) for CKD.

160 Comparing genome-wide polygenic score (GPS) predictions in unrelated individua

161 cohorts, we demonstrate that the genome-wide polygenic score (GPS) significantly predicts CKD among A

162 A genome-wide polygenic score (GPS), derived from a 2013 genome-wide a

163 Genome-wide polygenic scores (GPS) integrate information from many c

164 Genome-wide polygenic scores (GPS), which aggregate the effects of t

165 Genome-wide polygenic scores (GPSs) integrate information from many

166 Patients with a polygenic score >=80th percentile were considered to hav

167 Additionally, an elevated LDL-C polygenic score (>=80th percentile) was associated with

168 Aortic strain and distensibility polygenic scores had modest effect sizes for predicting

169 However, high polygenic score has a 10-fold higher prevalence among pa

170 During the past decade, polygenic scores have become a fast-growing area of rese

171 However, recent work has shown that polygenic scores have limited portability across groups

172 hose at low genetic risk (bottom quintile of polygenic scores) (hazard ratio, 1.91; 95% confidence in

173 ntified compelling evidence that the average polygenic score in patients with an early disease age at

174 L-C were significantly associated with LDL-C polygenic score in the Nutrition, Metabolism and Atheros

175 select from and estimate contributions of 81 polygenic scores in a UK representative sample of 6710 u

176 etic correlations and by building loneliness polygenic scores in an independent sample of 18 498 indi

177 Covariates were ADHD polygenic scores in child and parents, total energy inta

178 re accurate and equitable(26) application of polygenic scores in clinical practice.

179 genetic variants was performed to calculate polygenic scores in patients with "possible," "probable,

180 regression analyses were employed to compare polygenic scores in the ADHD and comparison groups and t

181 testing, genetic architecture inference, and polygenic scoring in admixed populations.

182 ains ~4% of the variance, independently of a polygenic score, in two external cohorts.

183 A polygenic score including 44 allelic shift loci correctl

184 iants in SLC34A3 to a linear model including polygenic score increased the liability-adjusted heritab

185 Additionally, polygenic scores indicate that known height-decreasing a

186 o newly possible is the ability to construct polygenic scores, individual-level metrics of genetic ri

187 Among these high polygenic score individuals, adherence to a healthy life

188 g carriers of TTN truncating mutations, this polygenic score influences the size and function of the

189 A polygenic score integrating cross-ancestry and ancestry-

190 , the between-siblings standard deviation in polygenic scores is [Formula: see text] times smaller th

191 ive performance of European ancestry-derived polygenic scores is lower in non-European ancestry sampl

192 First, some polygenic scores may be applicable only in populations o

193 h alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasi

194 Using the polygenic score method of analysis reported by the ISC,

195 s were similar for different multi-trait and polygenic score methods.

196 , such as rare-variant association tests and polygenic scoring methods, that focus on putative causal

197 the performances of multi-trait genomic and polygenic scoring methods.

198 gle polygenic score, but here we use a multi-polygenic score (MPS) approach to increase predictive po

199 Second, we calculated a recently developed polygenic score of 6.6 million common DNA variants to qu

200 A polygenic score of aortic diameter approximately 13 mm f

201 Using a polygenic score of DNA sequence polymorphisms, we quanti

202 in females and 11 in males associated with a polygenic score of LAD (false discovery rate q<0.01), 5

203 A polygenic score of MRI-derived left ventricular end syst

204 Polygenic scores of ASD (ASD-PGSs) were generated across

205 We assessed the influence of an LDL-C polygenic score on levels of LDL-C and risk of ASCVD for

206 dent psychosis test sets from 1.2% using the polygenic score only to 4.8% (P = .11 and .001, respecti

207 fy outliers (e.g., in the 99th percentile of polygenic score, or PGS) with 3-8 times higher risk than

208 We also assessed the performance of polygenic scores over and above phenotypic data that are

209 .13 [0.072-0.19] per a 20% increase in LDL-C polygenic score percentile, P<0.0001).

210 A polygenic score (PGS) derived from genome-wide associati

211 A polygenic score (PGS) for Alzheimer's disease (AD) was d

212 A polygenic score (PGS) for syncope captured genetic corre

213 A polygenic score (PGS) or polygenic risk score (PRS) is a

214 covariates may contribute to differences in polygenic score (PGS) performance.

215 k (TWBB), we investigated the association of polygenic score (PGS) with the development of TRD among

216 ciated alleles harboured by an individual, a polygenic score (PGS), also called a polygenic risk scor

217 ing uncertainty in predicted phenotypes from polygenic score (PGS)-based applications is essential fo

218 s common genetic variation - aggregated into polygenic scores (PGS) - in the onset and phenotypic pre

219 sm is associated with childhood trauma using polygenic scores (PGS) and genetic correlations in the U

220 Accurate construction of polygenic scores (PGS) can enable early diagnosis of dis

221 We construct risk predictors using polygenic scores (PGS) computed from common Single Nucle

222 bank data to investigate interaction between polygenic scores (PGS) for two obesity indicators, and l

223 blems, prior pharmacological treatments, and polygenic scores (PGS) has potential to inform risk stra

224 ed case-cohort iPSYCH was used to analyze 13 polygenic scores (PGS) in CM-exposed individuals across

225 ies to estimate disease risk, similar to how polygenic scores (PGS) use genetic information.

226 ING, AND PARTICIPANTS: In this cohort study, polygenic scores (PGS) were computed using summary stati

227 dhood and adulthood circumstances domains, 5 polygenic score [PGS] domains, and 1 behavior domain, an

228 study jointly modeled parental and offspring polygenic scores (PGSs) across 9 traits to test for the

229 We also calculated polygenic scores (PGSs) based on large-scale GWAS data f

230 Accurate polygenic scores (PGSs) facilitate the genetic predictio

231 nia sample and profiled the subgroups across polygenic scores (PGSs) for schizophrenia, cognition, ed

232 Weighted polygenic scores (PGSs) were computed for major depressi

233 sitions for high body mass index (BMI) using polygenic scores (PGSs), and trajectories (ages 14-23 ye

234 es for addressing limited transferability in polygenic scores (PGSs), given the substantial trans-anc

235 te effect of common variation, quantified as polygenic scores (PGSs), has emerged as an effective too

236 We show that an educational attainment polygenic score, POLYEDU, constructed from results of a

237 How accurately polygenic scores predict an individual pupil's education

238 ression analyses were used to assess whether polygenic scores predicted ADHD traits and ASD-related m

239 A polygenic score predicting a smaller aortic root was pre

240 gnificant loci and genes were identified and polygenic score prediction of suicide death case-control

241 s general caveats of multi-trait methods and polygenic score prediction, and conclude that polygenic

242 Polygenic scores provide increasing power to detect patt

243 able disease, raising the possibility that a polygenic score (PS, a summary of an individual's geneti

244 Polygenic scores (PSs) are becoming a useful tool to ide

245 s) comprising 16,067 to 322,154 individuals, polygenic scores (PSs) were generated to index 24 possib

246 ypic variation explained by genomics = 0.74; polygenic score R(2) = 0.24).

247 The contribution of SES and polygenic score ranged from less than1% to 6% and from 2

248 e signals; and that adjusting phenotypes for polygenic scores reduces linkage signals.

249 We observed a moderate association between a polygenic score reflecting elevated DMA% (composed of th

250 This study explores polygenic scores related to the BAP.

251 We found that cluster polygenic scores representing genetic determinants of re

252 tional outcomes of genotyping arrays include polygenic score, runs of homozygosity (ROH)/heterozygosi

253 y a logistic regression model with APOE, the polygenic score, sex and age as predictors.

254 ADHD polygenic score showed significant association with como

255 A polygenic score significantly predicted prevalent risk o

256 with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in

257 We analyze the first decade of polygenic scoring studies (2008-2017, inclusive), and fi

258 pean ancestry-based genetic disease risk and polygenic scores, substantiating the need for multi-ethn

259 traits that until now lacked well-performing polygenic scores, such as opioid use disorder, suicide,

260 odel parameters from the results of multiple polygenic score tests based on markers with p values in

261 ng >/= 1 for ADHD traits, girls had a higher polygenic score than boys (p = .003).

262 ipants at high genetic risk (top quintile of polygenic scores) than among those at low genetic risk (

263 We construct and validate polygenic scores that explain up to 45% of protein level

264 nd show that hub annotations can be used for polygenic scores that predict T2D risk driven by islet r

265 I leverage these findings to construct polygenic scores that use individuals' genotypes to pred

266 Aggregated into a polygenic score, these variants identified a subset of t

267 ntify candidate variants and also assigned a polygenic score to each individual to account for their

268 must be to increase the predictive power of polygenic scores to be able to use them as an early warn

269 n this preregistered study, we used fourteen polygenic scores to predict variation in cognitive abili

270 ibrium and variant frequencies when applying polygenic scoring to cohorts of non-European ancestry, a

271 rare genetic variants and a common variant (polygenic) score to risk of HCM.

272 The polygenic score unique to loneliness remained associated

273 1.09, 95% CI 1.03-1.15; P 0.002), while the polygenic score unique to MDD did not (OR 1.00, 95% CI 0

274 Humans (SUGAR-MGH), we constructed weighted polygenic scores using known genome-wide significant ass

275 ortance was the relative contribution of the polygenic score vs epistasis in variation explained.

276 otient (IQ), respectively, but schizophrenia polygenic score was also significantly associated with c

277 A liver cirrhosis polygenic score was associated with liver cancer diagnos

278 A chronotype polygenic score was calculated.

279 A sex-stratified polygenic score was constructed for LAD variation and te

280 A higher body mass index polygenic score was modestly linked to lower weight loss

281 Polygenic score was positively associated with ADHD symp

282 Polygenic score was significantly higher in ADHD case su

283 A polygenic score was strongly associated with HCM (OR per

284 A polygenic score was tested in Partners HealthCare Bioban

285 A "polygenic score" was calculated for each isolate as the

286 Despite correlation with the polygenic score, we found no strong evidence for genomew

287 e measures significantly associated with the polygenic score were tested for an epistatic component u

288 Polygenic scores were also compared in boys and girls en

289 Higher polygenic scores were associated with poorer performance

290 Several polygenic scores were associated with the level of cogni

291 utations (DNMs), rare inherited variants and polygenic scores were associated with various dimensions

292 The polygenic scores were created for phenotypes that have b

293 Prediction of educational outcomes from polygenic scores were inferior to those from parental so

294 whether married older adults who had higher polygenic scores were less vulnerable to depressive symp

295 Polygenic scores were not only associated with schizophr

296 Notably, suicide polygenic scores were significantly predictive across tr

297 No polygenic scores were statistically significantly associ

298 A primary goal of polygenic scores, which aggregate the effects of thousan

299 ical genetics research, including the use of polygenic scores, which are individual-level metrics of

300 We assessed the association between LDL-C polygenic score with LDL-C levels and ASCVD risk using l