grant

Genomic medicine and gene function implementation for an underserved population

Organization BAYLOR COLLEGE OF MEDICINELocation HOUSTON, UNITED STATESPosted 13 Jul 2021Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY20250-11 years oldAI systemActive Follow-upAffectAmericanArtificial IntelligenceAssayAttitudeBioassayBioinformaticsBiological AssayCandidate Disease GeneCandidate GeneCaringChildChild YouthChildren (0-21)Children's HospitalClinicClinicalClinical EvaluationClinical TestingClinical geneticsComputer ReasoningComputersDNADNA seqDNA sequencingDNAseqDataData BasesDatabasesDeoxyribonucleic AcidDiagnosisDiseaseDisorderDrosophilaDrosophila genusDrosophila melanogasterEnrollmentExpert SystemsExplosionFamilyFutureGenesGenetic CounselingGenetic DiseasesGenetic DiversityGenetic ResearchGenetic VariationGenetic studyGenomeGenomic TestingGenomic medicineGenomicsGoalsGrantHealth CareHealth InsuranceHospitalsHumanHuman GeneticsIndividualIndividuals from minorityIndividuals of minorityInformaticsInsuranceInsurance CoverageInsurance StatusIntelligent systemsInvestigatorsMachine IntelligenceMachine LearningMedicalMedical GeneticsMedicineMinority GroupsMinority PeopleMinority PopulationMinority individualModelingModern ManMolecular GeneticsNHGRINational Center for Human Genome ResearchNational Human Genome Research InstituteOrphan DiseaseParentsPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPediatric HospitalsPerceptionPersonsPlayPopulationRare DiseasesRare DisorderRecommendationReportingResearchResearch PersonnelResearchersRoleSocietiesTechnologyTestingTexasTimeTrainingUnderserved PopulationValidationVariantVariationWorkactionable mutationactionable variantsactive followupbio-informatics toolbioinformatics toolclinical testcohortcollegecollegiatecomputer scientistcostdata basedesigndesigningdiagnostic tooldiscover genesenrollethnic minorityexomeexome sequencingexome-seqexperiencefollow upfollow-upfollowed upfollowupfruit flygene discoverygene functiongenetic conditiongenetic consultationgenetic diagnosisgenetic disordergenetic disorder diagnosisgenome based testinggenome medicinegenome testinggenomic DNA testinggenomic based testinggenomic clinical testinggenomic datagenomic datasetgenomic profiling testinggenomic screening testhealth insurance planinnovateinnovationinnovativeinsightinterestkidslow SESlow socio-economic positionlow socio-economic statuslow socioeconomic positionlow socioeconomic statusmachine based learningmedical collegemedical schoolsmodel organismnetwork modelsnoveloperationoperationsorphan disorderparentpatient oriented outcomespersonalization of treatmentpersonalized genomicspersonalized medicinepersonalized therapypersonalized treatmentprobandprogramsprotein functionpsychologicpsychologicalpublic health insurancepublic insurancerecruitresearch clinical testingresearch studyschool of medicinescreeningscreeningssocialsocial rolesuccesstoolunder served groupunder served individualunder served peopleunder served populationunderserved groupunderserved individualunderserved peoplevalidationsvirtual health visitvirtual visityoungster
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Full Description

PROJECT SUMMARY
Here we propose to advance the goal of NHGRI to implement genomic medicine and focus on individuals

who have not been able to afford DNA testing. The research takes place in the Department of Molecular and

Human Genetics at Baylor College of Medicine (BCM) and Texas Childrens Hospital (TCH). Our team of

clinicians, geneticists, computer scientists, genomicists and model organism researchers has had a five-year

term of success with the Undiagnosed Diseases Network (UDN) Model Organisms Screening Center (MOSC).

This has included successfully identifying a number of new disease genes such as EBF3, IRF2BPL, NACC1,

TBX2, TOMM70, CDK19, ACOX1, WDR37, and ATP5F1D. We propose to recruit 100 individuals from an

underserved population in Houston, Texas with suspected rare disease and without the means to pay for

DNA sequencing through insurance. We will provide whole-exome sequencing which will generate a CAP/CLIA

report that we anticipate could diagnose 35-40 individuals per year. The remaining individuals will then be

converted to a family-based trio exome design. All the sequencing costs of this project will be covered by

philanthrophic donation to our hospital and are not budgeted to the grant. We will make every effort to

diagnose the remaining 60 individuals per year through machine learning and informatics using the MARRVEL

platform, Drosophila functional studies of candidate genes and through ongoing 6 month, 12 month and 2 year

follow-up with the patients where we will use matchmaking efforts such as GeneMatcher and Matchmaker

exchange as well as our own genomic databases from the UDN and other studies to come to a genetic

diagnosis. All subjects will receive genetic counseling from a trained team and will provide us with valuable

medical, psychological and social data to guide how genomic implementation in an underserved population

is perceived, impacts care and impacts the family. This work will not only produce novel insights into rare

disease, diagnosis for undiagnosed families and an expanded role for genomics, it will guide us in the future

to provide genomics and functional research to serve all individuals regardless of their ability to pay.

Grant Number: 5R01HG011795-05
NIH Institute/Center: NIH

Principal Investigator: HUGO BELLEN

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