Unknown

Dataset Information

0

Refined mapping of the renal failure RF-3 quantitative trait locus.


ABSTRACT: Rf-3, a quantitative trait locus (QTL) on rat chromosome 3, affects the development of CKD in Fawn-Hooded Hypertensive (FHH) rats. This QTL spans 110 Mb and approximately 1400 genes; therefore, narrowing the position of this locus is necessary to elucidate potential candidate genes. Here, we used congenic models and comparative genomics to refine the Rf-3 candidate region. We generated congenic lines carrying smaller intervals (subcongenics) of the Rf-3 region and used these lines to reduce the Rf-3 candidate region by 94% (to 7.1 Mb). We used comparative genomics to identify QTL for both nephropathy and albuminuria in the syntenic region of this interval for both human and mouse. We also used the overlapping homologous regions to reduce the number of likely positional candidate genes to 13 known or predicted genes. By combining congenic models and cross-species studies, we narrowed the list of candidate genes to a level that we could sequence the whole interval to further identify the causative gene in future studies.

SUBMITTER: O'Meara CC 

PROVIDER: S-EPMC3060445 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Refined mapping of the renal failure RF-3 quantitative trait locus.

O'Meara Caitlin C CC   Lazar Jozef J   Hoffman Matthew M   Moreno Carol C   Jacob Howard J HJ  

Journal of the American Society of Nephrology : JASN 20101202 3


Rf-3, a quantitative trait locus (QTL) on rat chromosome 3, affects the development of CKD in Fawn-Hooded Hypertensive (FHH) rats. This QTL spans 110 Mb and approximately 1400 genes; therefore, narrowing the position of this locus is necessary to elucidate potential candidate genes. Here, we used congenic models and comparative genomics to refine the Rf-3 candidate region. We generated congenic lines carrying smaller intervals (subcongenics) of the Rf-3 region and used these lines to reduce the  ...[more]

Similar Datasets

| S-EPMC3420870 | biostudies-literature
| S-EPMC1331977 | biostudies-literature
2005-09-21 | GSE3330 | GEO
| S-EPMC4169154 | biostudies-literature
| S-EPMC4902463 | biostudies-literature
| S-EPMC7690609 | biostudies-literature
| S-EPMC4815589 | biostudies-literature
| S-EPMC1431559 | biostudies-literature
| S-EPMC8223300 | biostudies-literature
| S-EPMC2738682 | biostudies-literature