A multidisciplinary approach for identifying and characterizing novel congenital malformation syndromes
识别和表征新型先天畸形综合征的多学科方法
基本信息
- 批准号:9769104
- 负责人:
- 金额:$ 40.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-25 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAffectBig DataBiological AssayBirthCase StudyCatalogsChildChildhoodClinicClinicalCongenital AbnormalityDNADataDiagnosisDisease ProgressionEpidemiologistEtiologyEvaluationFamilyFoundationsGeneticGenetic CounselingGenetic Predisposition to DiseaseGenetic screening methodGoalsHealthIndividualInfantInternationalLeadLiteratureLive BirthLysosomal Storage DiseasesMedicalMedical GeneticsMethodsMutationNucleotidesOrphanOrphan DrugsOutcomeParentsPathway interactionsPatientsPatternPhenotypePopulationPreventionPublic HealthRare DiseasesRecurrenceRegistriesReportingResearchReview LiteratureSamplingSchemeStructureSyndromeVariantbaseclinically significantcomparative genomic hybridizationcostdata registryexome sequencingexpectationexperienceimprovedinterdisciplinary approachmalformationnovelnovel therapeuticsoutcome forecastpopulation basedpreventprogramsrare conditionrecruitreproductivesuccesstargeted biomarkertherapeutic targettherapy development
项目摘要
Over 50% of children with multiple malformations seen in medical genetics clinics for a
suspected genetic syndrome never receive a diagnosis, which leaves unanswered questions
about prognosis and medical/reproductive planning. While individual multiple malformation
syndromes (MMS) are rare diseases (many <1 in 200,000 births), in combination, these
conditions are costly and medically severe. There have been some recent successes in
developing orphan treatments for some of these rare syndromes, but this only represents the
“tip of the iceberg,” and it is thought that there are many more recognized and unrecognized
MMS that will be amenable to new therapies. The next steps toward identifying therapeutic
targets and biomarkers of outcomes for these rare diseases are to 1) identify these MMS, 2)
characterize their clinical profile, and 3) uncover the underlying genetic causes. To accomplish
these goals, we will first identify “new” MMS (i.e., not described in the literature) using
international data from two large networks that represent most of the major birth defects
registries worldwide. By leveraging these population-based data, we will address the limitations
of previous approaches for identifying new MMS (i.e., clinical case reports based on a small
number of cases identified in a single clinic). Second, we will verify the occurrence of
“unconfirmed” MMS (i.e., unconfirmed case reports of only a few cases) using our international
network of birth defects registries to address the possibility that that the malformations patterns
reported in these previous case reports occurred due to chance alone. We will use a network of
medical genetics clinics we have assembled to recruit clinical patients with the new MMS and
the unconfirmed MMS that we validate. We will conduct systematic phenotyping of these cases
to better delineate the clinical profiles of these syndromes. We will also collect DNA samples
from these patients and their families and conduct exome sequencing, which may identify
pathways that could lead to therapeutic targets for these rare but clinically significant conditions.
在医学遗传学诊所,超过50%的儿童患有多种畸形
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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A.J. Agopian其他文献
A.J. Agopian的其他文献
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{{ truncateString('A.J. Agopian', 18)}}的其他基金
A multidisciplinary approach for identifying and characterizing novel congenital malformation syndromes
识别和表征新型先天畸形综合征的多学科方法
- 批准号:
9977879 - 财政年份:2018
- 资助金额:
$ 40.82万 - 项目类别:
A multidisciplinary approach for identifying and characterizing novel congenital malformation syndromes
识别和表征新型先天畸形综合征的多学科方法
- 批准号:
10443745 - 财政年份:2018
- 资助金额:
$ 40.82万 - 项目类别:
Do Cesarean Deliveries Reduce Mortality in Infants with Birth Defects?
剖腹产会降低出生缺陷婴儿的死亡率吗?
- 批准号:
9175062 - 财政年份:2016
- 资助金额:
$ 40.82万 - 项目类别:
Do Cesarean Deliveries Reduce Mortality in Infants with Birth Defects?
剖腹产会降低出生缺陷婴儿的死亡率吗?
- 批准号:
9333411 - 财政年份:2016
- 资助金额:
$ 40.82万 - 项目类别:
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