Back to Search
Start Over
Model-based linkage analyses confirm chromosome 19q13.3 as a susceptibility locus for intracranial aneurysm.
- Source :
-
Stroke [Stroke] 2007 Apr; Vol. 38 (4), pp. 1174-8. Date of Electronic Publication: 2007 Feb 22. - Publication Year :
- 2007
-
Abstract
- Background and Purpose: In previous studies of familial intracranial aneurysm (IA), parametric linkage analyses have been undertaken for five unrelated families, four providing maximum logarithm of odds (LOD) scores with dominant models and one with a recessive model. Each family was linked to a distinct locus, indicating locus heterogeneity. This study aimed to examine whether Japanese IA families consistent with autosomal-dominant mode of inheritance support linkage to these loci.<br />Methods: We performed genomewide linkage analysis using the GENEHUNTER program. Affected-only parametric linkage analysis was used for 41 affected members in nine unrelated IA families with dominant models, which were selected from 29 families used for a nonparametric (model-free) linkage analysis in our previous study.<br />Results: We failed to support the linkage to previously reported autosomal-dominant loci. Instead, we found linkage to chromosome 19q13.3 with a maximum multipoint LOD score of 4.10. The LOD-1 interval (regions with LOD scores of >1) was 8.0 cM between D19S198 and D19S902.<br />Conclusions: A genomewide scan for IA families with dominant models in Japan confirmed the locus at chromosome 19q13.3, which has also been reported as a candidate locus in a Finnish population.
- Subjects :
- Chromosome Mapping
DNA Mutational Analysis
Female
Gene Frequency
Genetic Markers genetics
Genetic Testing
Genome
Genotype
Humans
Intracranial Aneurysm ethnology
Japan
Male
Models, Genetic
Pedigree
Phenotype
Chromosomes, Human, Pair 19 genetics
Genetic Linkage genetics
Genetic Predisposition to Disease genetics
Intracranial Aneurysm genetics
Mutation genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1524-4628
- Volume :
- 38
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Stroke
- Publication Type :
- Academic Journal
- Accession number :
- 17322081
- Full Text :
- https://doi.org/10.1161/01.STR.0000259657.73682.03