scholarly journals Genetic analysis of blood pressure in C3H/HeJ and SWR/J mice

2004 ◽  
Vol 17 (2) ◽  
pp. 215-220 ◽  
Author(s):  
Keith DiPetrillo ◽  
Shirng-Wern Tsaih ◽  
Susan Sheehan ◽  
Conrado Johns ◽  
Peter Kelmenson ◽  
...  

Hypertension is a complex phenotype induced by multiple environmental and genetic factors. Quantitative trait locus (QTL) analysis is a powerful method for identifying genomic regions underlying complex diseases. We conducted a QTL analysis of blood pressure in mice using 217 F2 progeny (males and females) from a cross between the normotensive C3H/HeJ and hypertensive SWR/J inbred strains. Our analysis identified significant QTL controlling blood pressure on chromosome 1 [Chr 1; Bpq8; peak 78 cM; 95% confidence interval 64–106 cM; logarithm of the odds ratio (LOD) 3.5; peak marker D1Mit105] and on Chr 16 ( Bpq9; peak 56 cM; 95% confidence interval 46–58 cM; LOD 3.6; peak marker D16Mit158). Bpq8 was previously identified in a cross between C57BL/6J and A/J mice, and we narrowed this QTL from 42 to 18 cM (95% confidence interval 68–86 cM) by combining the data from these crosses. By examining Bpq8 for regions where ancestral alleles were conserved among the high allele strains (C57BL/6J, SWR/J) and different from the low allele strains (A/J, C3H/HeJ), we identified a 2.3-cM region where the high allele strains shared a common haplotype. Bpq8 is concordant with known QTL in both rat and human, suggesting that the causal gene underlying Bpq8 may be conserved as a disease gene in human hypertension.

2002 ◽  
Vol 10 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Fumihiro Sugiyama ◽  
Gary A. Churchill ◽  
Renhua Li ◽  
Laura J. M. Libby ◽  
Tonya Carver ◽  
...  

To better understand the genetic basis of essential hypertension, we conducted a quantitative trait locus (QTL) analysis of a population of 207 (BALB/cJ × CBA/CaJ) F2 male mice to identify genomic regions that regulate blood pressure, heart rate, and heart weight. We identified two loci, Bpq6 (blood pressure quantitative locus 6) on chromosome 15 (Chr 15; peak, 16 cM; 95% confidence interval, 0–25 cM) and Bpq7 on Chr 7 (peak, 42 cM; 95% confidence interval, 35–50 cM) that were significantly associated with blood pressure. We also identified two loci, Hrq1 (heart rate quantitative locus 1) and Hrq2, on D2Mit304 (peak, 72 cM; 95% confidence interval 60–80 cM) and D15Mit184 (peak, 25 cM; 95% confidence interval 20–35 cM), respectively, that were significantly associated with heart rate. A significant gene-gene interaction for heart rate was found between Hrq1 and D1Mit10 (peak, 57 cM; 95% confidence interval, 45–75 cM); the latter QTL was named Hrq3. We identified a significant locus for heart weight, Hwq1 (heart weight quantitative locus 1), at D14Mit67 (peak, 38 cM; 95% confidence interval, 20–43 cM). Identification of the genes for these QTL should lead to a better understanding of the causes of essential hypertension.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 14-14
Author(s):  
Ryan K. Funk ◽  
Taylor Maxwell ◽  
Masayo Izumi ◽  
Deepa Edwin ◽  
Friederike Kreisel ◽  
...  

Abstract Therapy-related acute myelogenous leukemia (t-AML) is an important late adverse effect of alkylator chemotherapy. Susceptibility to t-AML has a genetic component, yet the specific genes and genetic variations that influence susceptibility are poorly understood. Our lab previously identified mouse strains that are susceptible (SWR/J) or resistant (C57BL/6J and C3H/HeJ) to t-AML induced by the alkylator, ethyl-N-nitrosourea (ENU). To study the genetic basis of these differences, we performed an F2 intercross between susceptible and resistant strains. A single copy of the hCG-PML-RARa (PR) transgene was bred into each mouse. PR is an initiating factor for acute promyelocytic leukemia, but requires cooperating mutations for full leukemic transformation. This provides a platform to detect gene X transgene (PR) and gene X environment (ENU) interactions that promote leukemogenesis. F2 mice were treated (n=141) or untreated (n=141) with ENU and sacrificed and analyzed when moribund. We also analyzed untreated PR+ (n=24) mice from the resistant C57BL/6J X C3H/HeJ (B6C3F1) background. Untreated B6C3F1 PR+ mice developed lethal myeloid leukemia (characterized by splenomegaly > 0.25g, WBC > 30 K/uL, and increased immature myeloid precursors in PB, BM, and spleen) with an incidence of 12.5% and a latency of 234 days. By contrast, 79.4% of untreated PR+ F2 mice developed myeloid leukemia with a latency of 108 days and median survival of 238 days. The earlier onset and increased incidence of leukemia in F2 mice confirm that SWR/J alleles confer increased susceptibility to AML. ENU treatment further increased the leukemia incidence (90.4% vs. 79.4%, p<0.0001 by logrank) and shortened the median survival (168 vs. 238 days) of PR+ F2 mice. F2 mice were genotyped using 357 informative SNPs across the genome to facilitate quantitative trait locus (QTL) mapping. QTL analysis was performed using leukemia-free survival, spleen weight, and WBC as quantitative traits. Because extramedullary hematopoeisis and increased WBC are markers of poor prognosis in human AML, we reasoned that identification of modifier alleles for these traits might also have potential clinical relevance. QTL analysis revealed five peaks associated with survival, 5 with spleen weight, and 3 with WBC. The 1 LPR (likelihood probability ratio) confidence intervals for the QTL range in size from 10 to 50 Mbp. Each region contains between 100 and 750 genes. The most significant peak (LPR=3.94) is a survival QTL on chromosome 1 from 93.4 to 120.5 Mbp that retains significance at the genome wide level. The QTL effect is large in ENU-treated animals but not discernible in untreated animals. Both the additive effect (−0.51, SE=0.17) and the dominant effect (0.62, SE=0.20) are significant at p<0.05. Genes with potential connections to leukemogenesis within this region include a serpin cluster, genes involved in apoptosis (Bcl2, Bok, Pdcd1 Phlpp), and cell cycle genes (Sept2 and Clasp1). Ongoing studies are focused on candidate gene evaluation and fine-mapping the QTL regions to identify the QTL genes and their variants. Validation of these genes in therapy-related leukemogenesis should provide a better understanding of t-AML susceptibility and lead to strategies that moderate t-AML risk in susceptible individuals.


Hypertension ◽  
2009 ◽  
Vol 53 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Kamon Iigaya ◽  
Hiroo Kumagai ◽  
Toru Nabika ◽  
Yuji Harada ◽  
Hiroshi Onimaru ◽  
...  

2009 ◽  
Vol 36 (3) ◽  
pp. 158-166 ◽  
Author(s):  
David A. Blizard ◽  
Arimantas Lionikas ◽  
David J. Vandenbergh ◽  
Terrie Vasilopoulos ◽  
Glenn S. Gerhard ◽  
...  

A quantitative trait locus (QTL) approach was used to define the genetic architecture underlying variation in systolic blood pressure (SBP) and heart rate (HR), measured indirectly on seven occasions by the tail cuff procedure. The tests were conducted in 395 F2 adult mice (197 males, 198 females) derived from a cross of the C57BL/6J (B6) and DBA/2J (D2) strains and in 22 BXD recombinant-inbred (RI) strains. Interval mapping of F2 data for the first 5 days of measurement nominated one statistically significant and one suggestive QTL for SBP on chromosomes (Chr) 4 and 14, respectively, and two statistically significant QTL for HR on Chr 1 (which was specific to female mice) and Chr 5. New suggestive QTL emerged for SBP on Chr 3 (female-specific) and 8 and for HR on Chr 11 for measurements recorded several weeks after mice had undergone stressful blood sampling procedures. The two statistically significant HR QTL were confirmed by analyses of BXD RI strain means. Male and female F2 mice did not differ in SBP or HR but RI strain analyses showed pronounced strain-by-sex interactions and a negative genetic correlation between the two measures in both sexes. Evidence for a role for mitochondrial DNA was found for both HR and SBP. QTL for HR and SBP may differ in males and females and may be sensitive to different environmental contexts.


Hypertension ◽  
1999 ◽  
Vol 34 (4) ◽  
pp. 643-648 ◽  
Author(s):  
Norbert Hübner ◽  
Young-Ae Lee ◽  
Klaus Lindpaintner ◽  
Detlev Ganten ◽  
Reinhold Kreutz

2002 ◽  
Vol 25 (4) ◽  
pp. 605-608 ◽  
Author(s):  
Zong Hu CUI ◽  
Kiyomitsu NEMOTO ◽  
Kohei KAWAKAMI ◽  
Tatsuo GONDA ◽  
Toru NABIKA ◽  
...  

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