ライフサイエンスコーパス: polygenic score

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

2 tion explained above the contribution of the polygenic score.

3 Genomics Consortium 2 was used to calculate polygenic scores.

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

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

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

7 Polygenic score analyses identified a significant polyge

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

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

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

11 Polygenic score analyses were conducted to investigate t

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

13 A polygenic score analysis found that the Psychiatric GWAS

14 Our polygenic score analysis has identified significant evid

15 Polygenic score analysis tested whether the alleles iden

16 Polygenic score analysis was carried out to determine wh

17 Polygenic score analysis was performed as previously des

18 Polygenic score analysis was used to examine whether dif

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

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

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

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

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

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

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

26 Polygenic scores based on 180 SNPs previously associated

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

28 Polygenic scores based on family study results were used

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

30 Polygenic scores based on the meta-analysis of neurotici

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

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

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

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

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

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

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

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

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

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

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

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

43 Polygenic scores derived from an ADHD GWAS meta-analysis

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

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

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

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

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

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

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

51 Polygenic scoring found no convergence among multiple as

52 A polygenic score from the case-control genetic associatio

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

70 ADHD polygenic score showed significant association with como

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

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

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

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

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

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

77 Polygenic score was significantly higher in ADHD case su

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

79 Polygenic scores were also compared in boys and girls en

80 Higher polygenic scores were associated with poorer performance

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

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