scholarly journals Genetic Regulation of Maternal Oxytocin Response and Its Influences on Maternal Behavior

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Divya Mehta ◽  
Valsamma Eapen ◽  
Jane Kohlhoff ◽  
Antonio Mendoza Diaz ◽  
Bryanne Barnett ◽  
...  
Keyword(s):  
Risk Score ◽  
Maternal Behavior ◽  
Genetic Risk ◽  
Maternal Separation ◽  
Separation Anxiety ◽  
Genetic Risk Score ◽  
Genetic Regulation ◽  
Maternal Sensitivity ◽  
Free Play ◽  
Maternal Separation Anxiety

We interrogated the genetic modulation of maternal oxytocin response and its association with maternal behavior using genetic risk scores within the oxytocin receptor (OXTR) gene. We identified a novel SNP, rs968389, to be significantly associated with maternal oxytocin response after a challenging mother-infant interaction task (Still Face Paradigm) and maternal separation anxiety from the infant. Performing a multiallelic analysis across OXTR by calculating a cumulative genetic risk score revealed a significant gene-by-environment (G×E) interaction, with OXTR genetic risk score interacting with adult separation anxiety to modulate levels of maternal sensitivity. Mothers with higher OXTR genetic risk score and adult separation anxiety showed significantly reduced levels of maternal sensitivity during free play with the infant. The sameG×Einteraction was also observed for the extended OXTR cumulative genetic risk score that included rs968389. Moreover, the extended cumulative OXTR genetic risk score itself was found to be significantly associated with maternal separation anxiety as it specifically relates to the infant. Our results suggest a complex montage of individual and synergistic genetic mediators of maternal behavior. These findings add to specific knowledge about genetic regulation of maternal oxytocin response in relation to maternal adjustment and infant bonding through the first few months of life.

Maternal Separation Anxiety and a Woman's Career Choice

2001 ◽  
Author(s):  
Sidney F. Fisher ◽  
Alison S. O'Brien ◽  
Louis C. Buffardi ◽  
Carol J. Erdwins
Keyword(s):  
Career Choice ◽  
Maternal Separation ◽  
Separation Anxiety ◽  
Maternal Separation Anxiety

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
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