scholarly journals Correction: Self-reported hearing loss questions provide a good measure for genetic studies: a polygenic risk score analysis from UK Biobank

2021 ◽  
Author(s):  
Stacey S. Cherny ◽  
Gregory Livshits ◽  
Helena R. R. Wells ◽  
Maxim B. Freidin ◽  
Ida Malkin ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Risk Score ◽  
Good Measure ◽  
Polygenic Risk Score ◽  
Uk Biobank ◽  
Genetic Studies ◽  
Polygenic Risk ◽  
Score Analysis

scholarly journals Self-reported hearing loss questions provide a good measure for genetic studies: a polygenic risk score analysis from UK Biobank

2020 ◽  
Vol 28 (8) ◽  
pp. 1056-1065
Author(s):  
Stacey S. Cherny ◽  
Gregory Livshits ◽  
Helena R. R. Wells ◽  
Maxim B. Freidin ◽  
Ida Malkin ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Risk Score ◽  
Good Measure ◽  
Polygenic Risk Score ◽  
Uk Biobank ◽  
Genetic Studies ◽  
Polygenic Risk ◽  
Score Analysis

scholarly journals Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study

2017 ◽  
Vol 48 (9) ◽  
pp. 1532-1539 ◽  
Author(s):  
E. Neilson ◽  
C. Bois ◽  
T.-K. Clarke ◽  
L. Hall ◽  
E. C. Johnstone ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Familial Risk ◽  
Positive Association ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Score Analysis ◽  
Increased Risk ◽  
Heritable Disorder ◽  
Diagnostic Symptoms

AbstractBackgroundSchizophrenia is a highly heritable disorder, linked to several structural abnormalities of the brain. More specifically, previous findings have suggested that increased gyrification in frontal and temporal regions are implicated in the pathogenesis of schizophrenia.MethodsThe current study included participants at high familial risk of schizophrenia who remained well (n= 31), who developed sub-diagnostic symptoms (n= 28) and who developed schizophrenia (n= 9) as well as healthy controls (HC) (n= 16). We first tested whether individuals at high familial risk of schizophrenia carried an increased burden of trait-associated alleles using polygenic risk score analysis. We then assessed the extent to which polygenic risk was associated with gyral folding in the frontal and temporal lobes.ResultsWe found that individuals at high familial risk of schizophrenia who developed schizophrenia carried a significantly greater burden of risk-conferring variants for the disorder compared to those at high risk (HR) who developed sub-diagnostic symptoms or remained well and HC. Furthermore, within the HR cohort, there was a significant and positive association between schizophrenia polygenic risk score and bilateral frontal gyrification.ConclusionsThese results suggest that polygenic risk for schizophrenia impacts upon early neurodevelopment to confer greater gyral folding in adulthood and an increased risk of developing the disorder.

1134-P: Polygenic Risk Score of Type 2 Diabetes as a Predictive Factor for Macrovascular Complications: A Prospective Population-Based UK Biobank Study

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 1134-P
Author(s):  
SANGHYUK JUNG ◽  
DOKYOON KIM ◽  
MANU SHIVAKUMAR ◽  
HONG-HEE WON ◽  
JAE-SEUNG YUN
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Predictive Factor ◽  
Population Based ◽  
Macrovascular Complications ◽  
Polygenic Risk Score ◽  
Uk Biobank ◽  
Polygenic Risk

scholarly journals POLYGENIC RISK SCORE ANALYSIS OF ALZHEIMER’S DISEASE IN CASES WITHOUT APOE4 OR APOE2 ALLELES

2018 ◽  
pp. 1-4
Author(s):  
V. Escott-Price ◽  
A. Myers ◽  
M. Huentelman ◽  
M. Shoai ◽  
J. Hardy
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Clinical Trial Design ◽  
Polygenic Risk Score ◽  
Carrier Status ◽  
Predictive Utility ◽  
Polygenic Risk ◽  
Score Analysis ◽  
E4 Allele

The We and others have previously shown that polygenic risk score analysis (PRS) has considerable predictive utility for identifying those at high risk of developing Alzheimer’s disease (AD) with an area under the curve (AUC) of >0.8. However, by far the greatest determinant of this risk is the apolipoprotein E locus with the E4 allele alone giving an AUC of ~0.68 and the inclusion of the protective E2 allele increasing this to ~0.69 in a clinical cohort. An important question is to determine how good PRS is at predicting risk in those who do not carry the E4 allele (E3 homozygotes, E3E2 and E2E2) and in those who carry neither the E4 or E2 allele (i.e. E3 homozygotes). Previous studies have shown that PRS remains a significant predictor of AD risk in clinical cohorts after controlling for APOE ε4 carrier status. In this study we assess the accuracy of PRS prediction in a cohort of pathologically confirmed AD cases and controls. The exclusion of APOE4 carriers has surprisingly little effect on the PRS prediction accuracy (AUC ~0.83 [95% CI: 0.80-0.86]), and the accuracy remained higher than that in clinical cohorts with APOE included as a predictor. From a practical perspective this suggests that PRS analysis will have predictive utility even in E4 negative individuals and may be useful in clinical trial design.

scholarly journals A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains

2017 ◽  
Vol 177 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Siri Ranlund ◽  
Stella Calafato ◽  
Johan H. Thygesen ◽  
Kuang Lin ◽  
Wiepke Cahn ◽  
...  
Keyword(s):  
Risk Score ◽  
Polygenic Risk Score ◽  
Cognitive Domains ◽  
Polygenic Risk ◽  
Score Analysis

scholarly journals The undiagnosed disease burden associated with alpha-1 antitrypsin deficiency genotypes

2020 ◽  
Vol 56 (6) ◽  
pp. 2001441 ◽  
Author(s):  
Tomoko Nakanishi ◽  
Vincenzo Forgetta ◽  
Tomohiro Handa ◽  
Toyohiro Hirai ◽  
Vincent Mooser ◽  
...  
Keyword(s):  
Risk Score ◽  
Disease Burden ◽  
Forced Expiratory Volume ◽  
European Ancestry ◽  
Polygenic Risk Score ◽  
Uk Biobank ◽  
Polygenic Risk ◽  
Antitrypsin Deficiency ◽  
Alpha 1 Antitrypsin Deficiency ◽  
Alpha 1 Antitrypsin

Alpha-1 antitrypsin deficiency (AATD), mainly due to the PI*ZZ genotype in SERPINA1, is one of the most common inherited diseases. Since it is associated with a high disease burden and partially prevented by smoking cessation, identification of PI*ZZ individuals through genotyping could improve health outcomes.We examined the frequency of the PI*ZZ genotype in individuals with and without diagnosed AATD from UK Biobank, and assessed the associations of the genotypes with clinical outcomes and mortality. A phenome-wide association study (PheWAS) was conducted to reveal disease associations with genotypes. A polygenic risk score (PRS) for forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio was used to evaluate variable penetrance of PI*ZZ.Among 458 164 European-ancestry participants in UK Biobank, 140 had the PI*ZZ genotype and only nine (6.4%, 95% CI 3.4–11.7%) of them were diagnosed with AATD. Those with PI*ZZ had a substantially higher odds of COPD (OR 8.8, 95% CI 5.8–13.3), asthma (OR 2.0, 95% CI 1.4–3.0), bronchiectasis (OR 7.3, 95%CI 3.2–16.8), pneumonia (OR 2.7, 95% CI 1.5–4.9) and cirrhosis (OR 7.8, 95% CI 2.5–24.6) diagnoses and a higher hazard of mortality (2.4, 95% CI 1.2–4.6), compared to PI*MM (wildtype) (n=398 424). These associations were stronger among smokers. PheWAS demonstrated associations with increased odds of empyema, pneumothorax, cachexia, polycythaemia, aneurysm and pancreatitis. Polygenic risk score and PI*ZZ were independently associated with FEV1/FVC <0.7 (OR 1.4 per 1-sd change, 95% CI 1.4–1.5 and OR 4.5, 95% CI 3.0–6.9, respectively).The important underdiagnosis of AATD, whose outcomes are partially preventable through smoking cession, could be improved through genotype-guided diagnosis.

Sign in / Sign up

Export Citation Format

Share Document