Literature DB >> 17893371

Congenic interval mapping of RNO10 reveals a complex cluster of closely-linked genetic determinants of blood pressure.

Yasser Saad1, Shane Yerga-Woolwine, Jagannath Saikumar, Phyllis Farms, Ezhilarasi Manickavasagam, Edward J Toland, Bina Joe.   

Abstract

Genetic dissection of the rat genome for identifying alleles that cause abnormalities in blood pressure (BP) resulted in the mapping of a significant number of BP quantitative trait loci (QTLs). In this study we mapped at least one such BP QTL on rat chromosome 10 (RNO10) as being within the introgressed segment of a S.LEW congenic strain S.LEWx12x2x3x8 spanning 1.34 Mb from 70,725,437 bp to 72,063,232 bp. BP of 3 congenic strains that span shorter segments of this region was additionally examined. Results obtained indicate that LEW alleles that comprise a 375-kb introgressed segment of the congenic strain S.LEWx12x2x3x5 (70,725,437 bp to 71,100,513 bp) increase BP. The magnitude of change in BP exhibited by the 2 strains, S.LEWx12x2x3x8 and S.LEWx12x2x3x5, is the net phenotypic effect of the underlying genetic determinants of BP. In this respect, the current data are superior to previous QTL localization of BP QTL1, which was hypothesized based on differential congenic segments. Genetic dissection using these 2 congenic strains as tools is expected to facilitate further dissection of the regions. Meanwhile, differential congenic segments were used to predict and thereby prioritize regions for candidate gene analysis. Using this approach, 2 distinct regions of 401 kb and 409 kb within S.LEWx12x2x3x8 and a 104 kb region within S.LEWx12x2x3x5 were prioritized for further consideration. Because all of these genetic elements are located within a 1.06-Mb region of RNO10, our study has revealed a remarkable insight into a genomic module comprising very closely-linked, opposing genetic determinants of BP.

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Year:  2007        PMID: 17893371     DOI: 10.1161/HYPERTENSIONAHA.107.097105

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  21 in total

1.  Use of contiguous congenic strains in analyzing compound QTLs.

Authors:  John P Rapp; Bina Joe
Journal:  Physiol Genomics       Date:  2011-11-22       Impact factor: 3.107

2.  Defining a rat blood pressure quantitative trait locus to a <81.8 kb congenic segment: comprehensive sequencing and renal transcriptome analysis.

Authors:  K Gopalakrishnan; J Saikumar; C G Peters; S Kumarasamy; P Farms; S Yerga-Woolwine; E J Toland; W Schnackel; D R Giovannucci; B Joe
Journal:  Physiol Genomics       Date:  2010-08-17       Impact factor: 3.107

3.  Closely linked non-additive blood pressure quantitative trait loci.

Authors:  Edward J Toland; Yasser Saad; Shane Yerga-Woolwine; Steven Ummel; Phyllis Farms; Ramona Ramdath; Bryan C Frank; Norman H Lee; Bina Joe
Journal:  Mamm Genome       Date:  2008-03-07       Impact factor: 2.957

4.  Isolation and high-throughput sequencing of two closely linked epistatic hypertension susceptibility loci with a panel of bicongenic strains.

Authors:  Resmi Pillai; Harshal Waghulde; Ying Nie; Kathirvel Gopalakrishnan; Sivarajan Kumarasamy; Phyllis Farms; Michael R Garrett; Santosh S Atanur; Klio Maratou; Timothy J Aitman; Bina Joe
Journal:  Physiol Genomics       Date:  2013-06-11       Impact factor: 3.107

5.  Refined mapping of blood pressure quantitative trait loci using congenic strains developed from two genetically hypertensive rat models.

Authors:  Sivarajan Kumarasamy; Kathirvel Gopalakrishnan; Edward J Toland; Shane Yerga-Woolwine; Phyllis Farms; Eric E Morgan; Bina Joe
Journal:  Hypertens Res       Date:  2011-08-04       Impact factor: 3.872

6.  Dr Lewis Kitchener Dahl, the Dahl rats, and the "inconvenient truth" about the genetics of hypertension.

Authors:  Bina Joe
Journal:  Hypertension       Date:  2015-02-02       Impact factor: 10.190

7.  Augmented rififylin is a risk factor linked to aberrant cardiomyocyte function, short-QT interval and hypertension.

Authors:  Kathirvel Gopalakrishnan; Eric E Morgan; Shane Yerga-Woolwine; Phyllis Farms; Sivarajan Kumarasamy; Andrea Kalinoski; Xiaochen Liu; Jian Wu; Lijun Liu; Bina Joe
Journal:  Hypertension       Date:  2011-02-28       Impact factor: 10.190

8.  Investigating the effect of genetic background on proteinuria and renal injury using two hypertensive strains.

Authors:  Matthew Packard; Yasser Saad; William T Gunning; Shalini Gupta; Joseph Shapiro; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2009-01-28

9.  Mitochondrial polymorphisms in rat genetic models of hypertension.

Authors:  Sivarajan Kumarasamy; Kathirvel Gopalakrishnan; Asher Shafton; Jeremy Nixon; Jayakumar Thangavel; Phyllis Farms; Bina Joe
Journal:  Mamm Genome       Date:  2010-05-05       Impact factor: 2.957

10.  Genetic dissection reveals diabetes loci proximal to the gimap5 lymphopenia gene.

Authors:  J M Fuller; M Bogdani; T D Tupling; R A Jensen; R Pefley; S Manavi; L Cort; E P Blankenhorn; J P Mordes; A Lernmark; A E Kwitek
Journal:  Physiol Genomics       Date:  2009-04-07       Impact factor: 3.107

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