IDENTIFICATION OF GENES PREDISPOSING TO PELVIC FLOOR DISORDERS
IDENTIFICATION OF GENES PREDISPOSING TO PELVIC FLOOR DISORDERS
批准号:
8305150
负责人:
Lisa Cannon Albright
金额:
$69.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-15 至 2014-06-30
关键词:
AffectAgeBRCA1 geneBRCA2 geneCandidate Disease GeneChromosome ArmChromosome MappingChromosomes, Human, Pair 1Chromosomes, Human, Pair 9ClinicalCodeCollaborationsComplexComputer softwareComputerized Medical RecordDNADataData AnalysesDatabasesDevelopmentDiagnosisDiseaseFrequenciesFundingGenealogyGenesGeneticGenetic HeterogeneityGenotypeHealthHealthcare SystemsHospitalsInbreedingIndividualInterventionLinkMalignant NeoplasmsMedicalMedical Record LinkageMethodologyMethodsMutationOperative Surgical ProceduresOrganPatientsPelvic Floor DisordersPelvisPopulationPopulation DatabasePredispositionPreventionProceduresPtosisPublic HealthRecruitment ActivityRecurrenceResearchResearch PersonnelResourcesRiskRisk FactorsSNP genotypingSamplingScientistScreening procedureShippingShipsSpecificityStagingSusceptibility GeneSystemUnited States National Institutes of HealthUtahVariantWomanabstractingcase controlcomputerizeddensityexperiencegenetic analysisgenetic linkage analysisgenetic pedigreegenetic resourcegenome wide association studygenome-widegenome-wide analysisgenome-wide linkagehigh riskinterestnovel strategiespopulation basedsexsuccess
中文摘要
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英文摘要
Abstract
The investigators propose a unique and powerful collaboration between basic and clinical scientists in Utah
to identify genes affecting predisposition to pelvic organ prolapse (POP). The co-PIs both have significant
experience, Dr. Norton in Pelvic Floor Disorder (PFD) genetics and Dr. Cannon-Albright in predisposition
gene identification. The investigators will access the Utah Population Database, a computerized genealogy
of Utah combined with decades of medical data from the two largest healthcare systems in Utah (serving
90% of the state), to identify and recruit surgically treated cases of POP (1,250 cases in 5 years). All POP
cases sampled will be genotyped with the Illumina 610Q SNP marker set. The PIs will apply multiple
different genetic analyses to this resource of genotyped POP cases to aid in the identification of
predisposition genes. The record linkage of medical procedure codes (identifying surgeries performed on
each patient) to individual genealogy data allows us to identify all genetic relationships among the POP
cases. We will perform genome-wide association analysis, using software we have developed which allows
inclusion of both independent and related cases. We will identify all genetic relationships between the
sampled POP cases and perform linkage analysis in informative, high-risk POP pedigrees. We will identify
chromosomal regions shared Identical by Descent (IBD) in very distantly related cases in these pedigrees,
and we will identify IBD sharing within the small subset of POP cases (2%) who are inbred. Initial
collaborative analysis of data obtained by Dr. Norton's NIH funded study of affected PFD sib-ships has
already provided significant evidence for a predisposition gene localization on chromosome arm 9q, and
suggestive evidence for at least one other locus on chromosome 1. In summary, we will create a
population-based resource of surgically treated POP cases, we will pursue established and new methods to
identify and localize predisposition genes affecting POP, and we will begin a detailed search for the
chromosome 9 gene we have localized.
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