scholarly journals Can fetal genetic risk score for birth weight be accurately predicted using parental genotype?

2022 ◽  
Vol 226 (1) ◽  
pp. S611
Author(s):  
Adebayo Adesomo ◽  
Matt Givens ◽  
Sarah Heerboth ◽  
Tsegaselassie Workalemahu ◽  
Bob M. Silver ◽  
...  
Keyword(s):  
Birth Weight ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Parental Genotype

scholarly journals Genetic Risk Score for Prediction of Newborn Adiposity and Large-for-Gestational-Age Birth

2014 ◽  
Vol 99 (11) ◽  
pp. E2377-E2386 ◽  
Author(s):  
Reeti Chawla ◽  
Sylvia E. Badon ◽  
Janani Rangarajan ◽  
Anna C. Reisetter ◽  
Loren L. Armstrong ◽  
...  
Keyword(s):  
Birth Weight ◽  
Risk Score ◽  
Gestational Age ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Large For Gestational Age ◽  
Adult Obesity ◽  
Maternal Genotype ◽  
Increased Risk ◽  
Newborn Size

Context: Macrosomic infants are at increased risk for adverse metabolic outcomes. Improving prediction of large-for-gestational-age (LGA) birth may help prevent these outcomes. Objective: This study sought to determine whether genes associated with obesity-related traits in adults are associated with newborn size, and whether a genetic risk score (GRS) predicts LGA birth. Setting and Design: Single nucleotide polymorphisms (SNPs) in 40 regions associated with adult obesity-related traits were tested for association with newborn size. GRS's for birth weight and sum of skinfolds (SSF) specific to ancestry were calculated using the most highly associated SNP for each ancestry in genomic regions with one or more SNPs associated with birth weight and/or SSF in at least one ancestry group or meta-analyses. Participants: Newborns from the Hyperglycemia Adverse Pregnancy Outcomes Study were studied (942 Afro-Caribbean, 1294 Northern European, 573 Mexican-American, and 1182 Thai). Outcome Measures: Birth weight >90th percentile (LGA) and newborn SSF >90th percentile were primary outcomes. Results: After adjustment for ancestry, sex, gestational age at delivery, parity, maternal genotype, maternal smoking/alcohol intake, age, body mass index, height, blood pressure and glucose, 25 and 23 SNPs were associated (P < .001) with birth weight and newborn SSF, respectively. The GRS was highly associated with both phenotypes as continuous variables across all ancestries (P ≤ 1.6 × 10−19) and improved prediction of birth weight and SSF >90th percentile when added to a baseline model incorporating the covariates listed above. Conclusions: A GRS comprised of SNPs associated with adult obesity-related traits may provide an approach for predicting LGA birth and newborn adiposity beyond established risk factors.

scholarly journals Birth weight is not causally associated with adult asthma: results from instrumental variable analyses

2018 ◽  
Author(s):  
Ping Zeng ◽  
Xinghao Yu ◽  
Xiang Zhou
Keyword(s):  
Birth Weight ◽  
Risk Score ◽  
Genetic Risk ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
Genetic Risk Score ◽  
Adult Asthma ◽  
Lower Birth Weight ◽  
Genome Wide ◽  
Genetic Instruments

AbstractThe association between lower birth weight and childhood asthma is well established by observational studies. However, it remains unclear whether the influence of lower birth weight on asthma can persist into adulthood. Here, we conducted a Mendelian randomization analysis to assess the causal relationship of birth weight on the risk of adult asthma. Specifically, we carefully selected genetic instruments based on summary statistics obtained from large-scale genome-wide association meta-analyses of birth weight (up to ~160,000 individuals) and adult asthma (up to ~62,000 individuals). We performed Mendelian randomization using two separate approaches: a genetic risk score approach and a two-sample inverse-variance weighted (IVW) approach. With 37 genetic instruments for birth weight, we estimated the causal effect per one standard deviation (SD) change of birth weight to be an odds ratio (OR) of 1.00 (95% CI 0.98~1.03, p=0.737) using the genetic risk score method. We did not observe nonlinear relationship or gender difference for the estimated causal effect. In addition, with the IVW method, we estimated the causal effect of birth weight on adult asthma was observed (OR=1.02, 95% CI 0.84~1.24, p=0.813). Additionally, the iMAP method provides no additional genome-wide evidence supporting the causal effects of birth weight on adult asthma. The result of the IVW method was robust against various sensitivity analyses, and MR-PRESSO and the Egger regression showed that no instrument outliers and no horizontal pleiotropy were likely to bias the results. Overall, this Mendelian randomization study provides no evidence for the fetal origins of diseases hypothesis for adult asthma, implying that the impact of birth weight on asthma in years of children and adolescents does not persist into adult and previous findings may be biased by confounders.

1535-P: An Insulin Resistance Genetic Risk Score (IR_GRS) Is Associated with Mortality in Type 1 Diabetes (T1D)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1535-P
Author(s):  
RACHEL G. MILLER ◽  
TINA COSTACOU ◽  
SUNA ONENGUT-GUMUSCU ◽  
WEI-MIN CHEN ◽  
STEPHEN S. RICH ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 1 Diabetes ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score

Generalization of a genetic risk score for time to first albuminuria in children with sickle cell anaemia: SCCRIP cohort study results

2021 ◽  
Author(s):  
Sara R. Rashkin ◽  
Evadnie Rampersaud ◽  
Guolian Kang ◽  
Kenneth I. Ataga ◽  
Jane S. Hankins ◽  
...  
Keyword(s):  
Cohort Study ◽  
Sickle Cell ◽  
Risk Score ◽  
Genetic Risk ◽  
Sickle Cell Anaemia ◽  
Genetic Risk Score ◽  
Study Results

scholarly journals Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ganna Leonenko ◽  
Emily Baker ◽  
Joshua Stevenson-Hoare ◽  
Annerieke Sierksma ◽  
Mark Fiers ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Genetic Risk ◽  
Prediction Accuracy ◽  
Genetic Risk Score ◽  
Low Risk ◽  
Risk Scores ◽  
Sample Mean ◽  
Polygenic Risk ◽  
Reliable Identification

AbstractPolygenic Risk Scores (PRS) for AD offer unique possibilities for reliable identification of individuals at high and low risk of AD. However, there is little agreement in the field as to what approach should be used for genetic risk score calculations, how to model the effect of APOE, what the optimal p-value threshold (pT) for SNP selection is and how to compare scores between studies and methods. We show that the best prediction accuracy is achieved with a model with two predictors (APOE and PRS excluding APOE region) with pT<0.1 for SNP selection. Prediction accuracy in a sample across different PRS approaches is similar, but individuals’ scores and their associated ranking differ. We show that standardising PRS against the population mean, as opposed to the sample mean, makes the individuals’ scores comparable between studies. Our work highlights the best strategies for polygenic profiling when assessing individuals for AD risk.

scholarly journals Association of a Genetic Risk Score With Body Mass Index

JAMA ◽  
2016 ◽  
Vol 316 (17) ◽  
pp. 1825
Author(s):  
Marcus R. Munafò ◽  
Kate Tilling ◽  
George Davey Smith
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score

243-OR: Integrating Genetic Risk Score and Islet Autoantibody Characteristics in the Predictive Model for Type 1 Diabetes in the TrialNet Study

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 243-OR
Author(s):  
LAURIC A. FERRAT ◽  
ANDREA STECK ◽  
HEMANG M. PARIKH ◽  
LU YOU ◽  
SUNA ONENGUT-GUMUSCU ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Predictive Model ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Islet Autoantibody

Mendelian Randomization Focused Analysis of Vitamin D on the Secondary Prevention of Ischemic Stroke

Stroke ◽  
2021 ◽  
Author(s):  
Yap-Hang Chan ◽  
C. Mary Schooling ◽  
Jie Zhao ◽  
Shiu-Lun Au Yeung ◽  
Jo Jo Hai ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Vitamin D ◽  
Ischemic Stroke ◽  
Risk Score ◽  
Genetic Risk ◽  
Odds Ratio ◽  
Mendelian Randomization ◽  
De Novo ◽  
Genetic Risk Score ◽  
Ischemic Disease

Background and Purpose: Experimental studies showed vitamin D (Vit-D) could promote vascular regeneration and repair. Prior randomized studies had focused mainly on primary prevention. Whether Vit-D protects against ischemic stroke and myocardial infarction recurrence among subjects with prior ischemic insults was unknown. Here, we dissected through Mendelian randomization any effect of Vit-D on the secondary prevention of recurrent ischemic stroke and myocardial infarction. Methods: Based on a genetic risk score for Vit-D constructed from a derivation cohort sample (n=5331, 45% Vit-D deficient, 89% genotyped) via high-throughput exome-chip screening of 12 prior genome-wide association study–identified genetic variants of Vit-D mechanistic pathways ( rs2060793 , rs4588 , and rs7041 ; F statistic, 73; P <0.001), we performed a focused analysis on prospective recurrence of myocardial infarction (MI) and ischemic stroke in an independent subsample with established ischemic disease (n=441, all with prior first ischemic event; follow-up duration, 41.6±14.3 years) under a 2-sample, individual-data, prospective Mendelian randomization approach. Results: In the ischemic disease subsample, 11.1% (n=49/441) had developed recurrent ischemic stroke or MI and 13.3% (n=58/441) had developed recurrent or de novo ischemic stroke/MI. Kaplan-Meier analyses showed that genetic risk score predicted improved event-free survival from recurrent ischemic stroke or MI (log-rank, 13.0; P =0.001). Cox regression revealed that genetic risk score independently predicted reduced risk of recurrent ischemic stroke or MI combined (hazards ratio, 0.62 [95% CI, 0.48–0.81]; P <0.001), after adjusted for potential confounders. Mendelian randomization supported that Vit-D is causally protective against the primary end points of recurrent ischemic stroke or MI (Wald estimate: odds ratio, 0.55 [95% CI, 0.35–0.81]) and any recurrent or de novo ischemic stroke/MI (odds ratio, 0.64 [95% CI, 0.42–0.91]) and recurrent MI alone (odds ratio, 0.52 [95% CI, 0.30–0.81]). Conclusions: Genetically predicted lowering in Vit-D level is causal for the recurrence of ischemic vascular events in persons with prior ischemic stroke or MI.

scholarly journals Additional value of a combined genetic risk score to standard cardiovascular stratification

2018 ◽  
Vol 41 (4) ◽  
pp. 766-774 ◽  
Author(s):  
Andreia Pereira ◽  
Maria Isabel Mendonca ◽  
Sofia Borges ◽  
Ana Célia Sousa ◽  
Sónia Freitas ◽  
...  
Keyword(s):  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Additional Value
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