grant

Project 3: Developmental trajectories in infants at genetic risk for autism

Organization COLUMBIA UNIVERSITY HEALTH SCIENCESLocation NEW YORK, UNITED STATESPosted 6 Sept 2022Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY20250-4 weeks oldASDAge MonthsAnxietyApplication ContextAttentionAuditoryAuditory CortexAuditory areaAutismAutism DiagnosisAutistic DisorderAutonomic nervous systemBehavior Conditioning TherapyBehavior ModificationBehavior TherapyBehavior TreatmentBehavioral Conditioning TherapyBehavioral ModificationBehavioral SymptomsBehavioral TherapyBehavioral TreatmentBrainBrain Nervous SystemBrain StemBrainstemChronologic Fetal MaturityCitiesClassificationCognitiveCommunicationComplexComputer AnalysisConditioning TherapyDataDevelopmentDiagnosisDiagnosticDoctor of PhilosophyEEGEarly DiagnosisEarly Infantile AutismEarly InterventionElectroencephalogramElectroencephalographyEncephalonEthnic OriginEthnicityEvaluationFacial ExpressionFamilyFetal AgeFoundationsFrequenciesFutureGene x Environment InteractionGeneticGenetic RiskGenetic ScreeningGestational AgeGoalsGripsGxE interactionHypersensitivityInfantInfantile AutismInterventionKanner's SyndromeKnowledgeLanguageLanguage DevelopmentLeadLifeLocomotionMeasuresMotorMovementMusculoskeletal EquilibriumNeural DevelopmentNeurophysiology - biologic functionNewborn InfantNewbornsNonverbal CommunicationOutcomeParentsPathway interactionsPatternPb elementPerceptionPh.D.PhDPhenotypePlayPostural BalancePostural EquilibriumProbabilistic ModelsProbability ModelsProcessRaceRacesRelative RisksRiskRisk-associated variantRoleSample SizeSamplingScienceSelf EfficacySensoryShapesSightSocial DevelopmentStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStatistical ModelsStimulusSystemSystematicsTechniquesTemperamentVisionVisualVisual CortexVisual attentionacquiring language skillsautism attributesautism indicatorautism spectral disorderautism spectrum disorderautism spectrum disorder featuresautism spectrum disorder indicatorautism spectrum disorder symptomsautism symptomologyautism symptomsautism-like symptomsautism-related attributesautistic featuresautistic individualsautistic peopleautistic spectrum disorderautistic symptomsautistic traitsautistic-like symptomsbehavior interventionbehavioral interventionbody movementcohortcomputational analysescomputational analysiscomputer analysescontextual factorsdesigndesigningdevelopmentalearly detectionenvironment effect on geneexperienceface expressionfetalgazegene environment interactiongraspheart rate variabilityheavy metal Pbheavy metal leadhigh riskindividuals on the autism spectrumindividuals on the spectrumindividuals with ASDindividuals with autismindividuals with autism spectrum disorderinfant outcomeinformation gatheringinnovateinnovationinnovativejoint attentionknowledge integrationlanguage acquisitionlanguage learningmultidisciplinarymultisensoryneuralneural functionneurobehavioralneurodevelopmentnewborn childnewborn childrennon-verbal communicationoperationoperationsoutreachparalinguistic behaviorparentpathwaypeople on the autism spectrumpeople with ASDpeople with autismpeople with autism spectrum disorderpostnatalpostural controlprospectivequality of sleepracialracial backgroundracial originresilienceresilientresponserisk allelerisk generisk genotyperisk locirisk locusrisk variantservice interventionsexsleep qualitysocialsocial communicationsocial rolesoundstatistical analysisstatistical linear mixed modelsstatistical linear modelssustained attentionvisual corticalvisual function
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Full Description

PROJECT SUMMARY
Genetic screening can now identify risk variants before the emergence of behavioral symptoms of autism. This

advance affords opportunity for presymptomatic intervention in infants whose developmental trajectories indicate

early deviation from typical patterns. To our knowledge, no prior study has examined whether the combination

of genetic screening and precise trajectories of early neurodevelopmental pathways might enable earlier

diagnosis in infants with identified genetic risk for autism. Based on this significant knowledge gap, Project 3

proposes to longitudinally assess neurodevelopment every 3 months when infants are 3 to 15 months of age.

The PROGRESS cohort will include a final sample of N = 300 infants: N = 200 in the Identified Genetic Risk

(IGR) group and N = 100 gestational age, sex, race/ethnicity, language, and zip code-matched control infants

without Identified Genetic Risk (non-IGR). We will examine developmental trajectories of autonomic nervous

system and neural function (Aim 1), information-gathering perception and action systems (Aim 2: visual, auditory,

multisensory, motor), and social development and language/communication (Aim 3) to determine if and when

these trajectories deviate across genetic risk groups. Being situated in the PROGRESS Center allows us to

combine measures across multiple levels of analysis (Aim 4) including genetic risk (Project 1), parental

experience and self-efficacy (Project 2), trajectories of neurodevelopment (Project 3), and diagnostic outcomes

(Assessment Core). We pair this innovative design with sophisticated statistical modeling techniques (Statistical

and Computational Analysis Core) to elucidate developmental mechanisms and to enable earlier diagnosis in

infants at identified genetic risk for autism. We will partner with the Dissemination and Outreach Core to share

emerging knowledge and to provide parents with appropriate support and linkage to early intervention services.

In summary, Project 3 leverages a representative sampling strategy in a diverse large city, a large sample size

paired with dense longitudinal assessments, and a multidisciplinary team science approach, to characterize

neurobehavioral trajectories in infants at identified genetic risk of autism.

Grant Number: 5P50HD109879-04
NIH Institute/Center: NIH

Principal Investigator: DIMA AMSO

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