ID

44990

Description

Principal Investigator: Joseph P. Broderick, MD, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA MeSH: Intracranial Aneurysm,Aortic Aneurysm, Abdominal https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000293 Our long-term objective is to identify susceptibility genes that are related to the formation of intracranial aneurysms (IA). Rupture of IAs occurs in 16,000 to 17,000 persons in the U.S. annually and nearly half of affected persons are dead within the first 30 days. An additional 6,000 to 7,000 persons with unruptured IAs are identified each year. Accumulated evidence indicates that a genetic component plays an important role in the development of IAs, but specific loci affecting the risk of IA have not been identified. The primary hypothesis of this study is that there are specific human chromosomal regions that are associated with an increased risk of IAs. Specific Aims of are:- Recruitment of 400 (475) families with multiple individuals who have an IA through 23 (25) referral centers throughout North America, Australia, and New Zealand that represent 35 (40) recruitment sites. - Ascertainment of interviews and blood samples from all affected family members as well as their first-degree relatives. White blood cells from living persons with an IA will be cryopreserved at Coriell Institute for Medical Research for future immortalization of cells lines as indicated. - Identification of unruptured IAs by obtaining MRAs in selected asymptomatic siblings (of affected individuals). - Completion of a 10 cM genome series in persons with IAs as well as the spouses and children of persons with an IA who are deceased. We will perform finer mapping of chromosomal regions with suggestive evidence of linkage in the genome screen. - Performance of a nonparametric (allele sharing) linkage analysis, including relevant environmental factors such as smoking, to identify chromosomal regions linked to IA. Reconstruction of the genotypes of deceased affected family members will be performed. Identification of individuals who are genetically at high risk for the development of IAs would enable targeted and effective screening/prevention/treatment strategies to reduce the substantial mortality and morbidity associated with this devastating type of stroke. Only a multidisciplinary, collaborative effort to identify, accrue, and genotype FIA families will be successful in identifying sufficient high-risk families to characterize the genetic underpinnings of IA.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000293

Keywords

  1. 6/22/22 6/22/22 - Dr. Christian Niklas
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Joseph P. Broderick, MD, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA

Uploaded on

June 22, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000293 The Familial Intracranial Aneurysm Linkage Study (FIA)

Pedigree Information

pht003364
Description

pht003364

Family ID
Description

FAMID

Data type

text

Alias
UMLS CUI [1,1]
C0015576
UMLS CUI [1,2]
C2348585
Subject ID
Description

SUBJID

Data type

text

Alias
UMLS CUI [1,1]
C2348585
Father's Subject ID
Description

FATHER

Data type

text

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C0015671
Mother's Subject ID
Description

MOTHER

Data type

text

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C0026591
Gender
Description

SEX

Data type

text

Alias
UMLS CUI [1,1]
C0079399
Twin ID
Description

TWIN_ID

Data type

text

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C0041427

Similar models

Pedigree Information

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht003364
FAMID
Item
Family ID
text
C0015576 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
SUBJID
Item
Subject ID
text
C2348585 (UMLS CUI [1,1])
FATHER
Item
Father's Subject ID
text
C2348585 (UMLS CUI [1,1])
C0015671 (UMLS CUI [1,2])
MOTHER
Item
Mother's Subject ID
text
C2348585 (UMLS CUI [1,1])
C0026591 (UMLS CUI [1,2])
Item
Gender
text
C0079399 (UMLS CUI [1,1])
Code List
Gender
CL Item
Male (1)
CL Item
Female (2)
TWIN_ID
Item
Twin ID
text
C2348585 (UMLS CUI [1,1])
C0041427 (UMLS CUI [1,2])

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