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1 al designs comparing cases with high and low polygenic risk.
2  several individual risk alleles and for the polygenic risk.
3  1.96, P = .02) compared with women with low polygenic risk.
4                      We report that a higher polygenic risk allele load for MDD was significantly ass
5  comorbid AD and MD and to determine whether polygenic risk alleles are shared with neuropsychiatric
6 eas single-gene diseases are rare disorders, polygenic risk alleles arise in common adult-onset disea
7 hese 33 loci and a significant enrichment of polygenic risk alleles from genome-wide association stud
8 nent renal single-gene kidney disorders, and polygenic risk alleles of common disorders.
9 gions and implies the presence of additional polygenic risk alleles.
10 icits, genome-wide association study-derived polygenic risk, and life impairment indicators were asse
11                  Other imaging technologies, polygenic risk, and nonadherence were not considered.
12 comorbid disorders, neurocognitive deficits, polygenic risk, and residual adult life impairment.
13 se onset, we investigated whether effects of polygenic risk are detectable by neuroimaging in young a
14             Lastly, we show that elements of polygenic risk are independent and differ in their relat
15 th a diagnosis of schizophrenia and elevated polygenic risk burden for the disease across multiple br
16 associated with the high and low ends of the polygenic risk distribution were compared.
17 Non-BRCA1/2 women in the top quartile of the polygenic risk distribution were more likely to have had
18 ed these to discover molecular correlates of polygenic risk (e.g., genetic risk for inflammatory bowe
19  variants, pharmacogenomic associations, and polygenic risk estimates for cardiometabolic traits.
20 ders that arise from the interaction between polygenic risk factors and environmental factors.
21 ction, but the mechanisms of the more common polygenic risk factors are still poorly understood and u
22 e disorders share genes that together act as polygenic risk factors for autoimmunity.
23 d the specificity of the Alzheimer's disease polygenic risk finding.
24        We found that AD+P is associated with polygenic risk for a set of novel loci and inversely ass
25                                              Polygenic risk for ADHD and ASD was calculated from geno
26                                              Polygenic risk for ADHD showed a positive association wi
27                                              Polygenic risk for ADHD was also negatively associated w
28     We did not find consistent evidence that polygenic risk for ADHD was associated with cognitive fu
29                                              Polygenic risk for ADHD, derived from the meta-analysis,
30                                              Polygenic risk for AF was derived using a score of appro
31         We aimed to clarify the influence of polygenic risk for ASD and to identify subgroups of ASD
32                               We report that polygenic risk for ASD is positively correlated with gen
33 families with a child with ASD, we show that polygenic risk for ASD, schizophrenia, and greater educa
34 in childhood or adulthood, nor did they show polygenic risk for childhood ADHD.
35 in healthy young adults were associated with polygenic risk for MDD (n = 438) using risk scores deriv
36                    Individuals with elevated polygenic risk for MDD may also be at risk for AD.
37 ubcortical volumes or WM microstructure, and polygenic risk for MDD, SCZ or BP.
38 ition, they provide an unbiased link between polygenic risk for schizophrenia and a lower risk of psy
39                                      Greater polygenic risk for schizophrenia was associated with mor
40                                  In LBC1936, polygenic risk for schizophrenia was negatively associat
41  of novel loci and inversely associated with polygenic risk for schizophrenia.
42 h strongly acting de novo variants, in which polygenic risk is relevant.
43                                              Polygenic risk (measured by the PRS) was greater in wome
44                       Our findings suggest a polygenic risk model of autism and reveal that some neur
45 ording to the number of SNPs included in the polygenic risk model.
46 andom forest regression (PRFR), to construct polygenic risk models using hundreds of SNPs, thereby ca
47  and older age at first child whereas higher polygenic risk of ADHD is associated with having more ch
48                                              Polygenic risk of autism and ADHD is associated with num
49                                       Higher polygenic risk of autism is associated with fewer childr
50 ddress this issue by examining the impact of polygenic risk of MDD, SCZ, and BP on subcortical brain
51 lygenic architecture, and is associated with polygenic risk of MDD.
52                                    Increased polygenic risk of schizophrenia is associated with lower
53 evidence for a selective advantage of a high polygenic risk of schizophrenia or bipolar disorder.
54 ican-American individuals-and can be used in polygenic risk prediction and genetic correlation studie
55 We also compared additive and multiplicative polygenic risk prediction models using per-allele odds r
56        Determining the effects of an overall polygenic risk profile score on neuroimaging abnormaliti
57                                              Polygenic risk profile scores (RPSs) for psychosis were
58                                Schizophrenia polygenic risk profile scores were calculated using info
59                                              Polygenic risk profiles for pain, generated using indepe
60 ion modelling indicate that the effects of a polygenic risk score (90 obesity-related loci) on measur
61    Further, we found that a standardized CRP polygenic risk score (CRPPRS) at p-value thresholds of 1
62        Schizophrenia was associated with the polygenic risk score (OR, 8.01; 95% CI, 4.53-14.16 for h
63 ociation analyses were conducted between MDD polygenic risk score (PRS) and AD case-control status in
64                                            A polygenic risk score (PRS) composed of single nucleotide
65                                 We created a polygenic risk score (PRS) comprising 28 common obesity-
66 d with risk for BE or EAC, and constructed a polygenic risk score (PRS) for cases and controls by sum
67                                     A higher polygenic risk score (PRS) for DZ twinning, calculated b
68  measure of total susceptibility burden, the polygenic risk score (PRS) for each individual was defin
69                                            A polygenic risk score (PRS) is a sum of trait-associated
70 MD), and a 77-single nucleotide polymorphism polygenic risk score (PRS) were associated with breast c
71                                            A polygenic risk score (PRS), calculated as the sum of the
72 ibility loci, individually and combined as a polygenic risk score (PRS).
73                                              Polygenic risk score analyses showed prognostication of
74                                              Polygenic risk score analysis did not support a higher b
75         Previous estimates of the utility of polygenic risk score analysis for the prediction of Alzh
76 OPS), as well as the association between the polygenic risk score and coronary artery calcification (
77         There was an interaction between the polygenic risk score and family history (P = .03).
78  show a significant correlation between a BP polygenic risk score and the clinical dimension of mania
79 tential relationship between an individual's polygenic risk score and their disease age at onset.
80 mong women in the top and bottom fifths of a polygenic risk score based on 7 SNPs was 8.8% (8.3%-9.4%
81               The estrogen receptor-positive polygenic risk score built from 89 known susceptibility
82 eotide polymorphisms from which we conducted polygenic risk score comparisons for COS probands and th
83                                            A polygenic risk score comprising 93 single-nucleotide pol
84        For each participant, we calculated a polygenic risk score derived from up to 57 common DNA se
85  assortative mating and the relatively small polygenic risk score effect sizes.
86 any substance use disorder diagnosis and the polygenic risk score for schizophrenia (mega-analysis ps
87  (2) imaging studies of the brain; and (3) a polygenic risk score for schizophrenia across 108 geneti
88                                    Increased polygenic risk score for schizophrenia was associated wi
89                 To test the association of a polygenic risk score for waist-to-hip ratio (WHR) adjust
90                                            A polygenic risk score for WHR adjusted for BMI, a measure
91                                 Conclusion A polygenic risk score may be used to refine risk from the
92                                  We create a polygenic risk score that is significantly different bet
93        We demonstrate the utility of using a polygenic risk score to identify molecular variation ass
94                    Each 1-SD increase in the polygenic risk score was associated with 1.32-fold (95%
95 ease in WHR adjusted for BMI mediated by the polygenic risk score was associated with 27-mg/dL higher
96                                              Polygenic risk score was associated with all subtypes ex
97  10-5), while the estrogen receptor-negative polygenic risk score was much higher in blacks than in w
98                                          The polygenic risk score was substantially more predictive o
99                                              Polygenic risk score were generated from a published Psy
100  those at high genetic risk (top quintile of polygenic risk score) versus all others (WOSCOPS), as we
101 2 values were 3.4% (95% CI, 2.1-4.6) for the polygenic risk score, 3.1% (95% CI, 1.9-4.3) for parenta
102 benign breast disease, mammographic density, polygenic risk score, family history of breast cancer, a
103        Schizophrenia was associated with the polygenic risk score, family psychiatric history, and so
104 e identified multiple disease-associated and polygenic risk score-associated differentially methylate
105 zophrenia/psychoses was mediated through the polygenic risk score.
106 l thickness in male participants with a high polygenic risk score.
107 d arthritis and developed a new method using polygenic risk-score analyses to infer the total liabili
108                                              Polygenic risk scores (PGS) enable rapid estimation of g
109                          We included genetic polygenic risk scores (PRS) for schizophrenia, bipolar d
110 n models and molecular genetic methods, i.e. polygenic risk scores (PRS).
111 orts showed evidence for interaction between polygenic risk scores (PRSs) and CT, albeit in opposing
112                  We hypothesized that higher polygenic risk scores (PRSs) for AD would be associated
113                                              Polygenic risk scores (PRSs) for schizophrenia generated
114 herefore investigated the possible effect of polygenic risk scores (PRSs) for schizophrenia on the as
115                                              Polygenic risk scores (PRSs) have successfully summarize
116 netic risk variant load for ADHD (indexed by polygenic risk scores [PRS]), but not for other psychiat
117                            The schizophrenia polygenic risk scores also predicted social and behaviou
118 Elastic Nets estimated from cohort data, and polygenic risk scores constructed using published summar
119                                      We used polygenic risk scores derived from a patient discovery s
120                                              Polygenic risk scores derived from a Tourette syndrome g
121    Tests were performed to determine whether polygenic risk scores derived from potentially related t
122                                              Polygenic risk scores derived from the primary UK Bioban
123 (7.05-21.6; P=1 x 10(-4)) with schizophrenia polygenic risk scores explaining up to 0.12% of the vari
124 ed published summary statistics to calculate polygenic risk scores for eight well-studied phenotypes.
125  brain regions and highlights the utility of polygenic risk scores for identifying molecular pathways
126                                      We used polygenic risk scores for major depressive disorder (MDD
127                            We tested whether polygenic risk scores for schizophrenia and bipolar diso
128                                  To do this, polygenic risk scores for schizophrenia derived from a l
129                                       Higher polygenic risk scores for schizophrenia were consistentl
130                                    To create polygenic risk scores for schizophrenia, we obtained dat
131                                 In parallel, polygenic risk scores for SCZ were associated with lower
132                                 Whole-genome polygenic risk scores for the development of Alzheimer's
133                                              Polygenic risk scores have shown great promise in predic
134                                  Analyses of polygenic risk scores identified pleiotropy with neurops
135 IoGRAMplusC4D study of CAD/MI, we calculated polygenic risk scores in 2599 participants of the Dutch
136              At age 7-9 years, schizophrenia polygenic risk scores showed associations with lower per
137                                  Analyses of polygenic risk scores showed that individuals with a hig
138                           The calculation of polygenic risk scores was based on genome-wide associati
139                                              Polygenic risk scores were calculated in the Avon Longit
140                                              Polygenic risk scores were calculated separately for BD
141                                              Polygenic risk scores were constructed based on common g
142                                          OCD polygenic risk scores were significantly associated with
143     We show a significant interaction of the polygenic risk scores with personal life events (0.12% o
144                                              Polygenic risk scores, parental socioeconomic status, an
145 ntrol individuals) were applied to calculate polygenic risk scores.

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