Literature DB >> 10835399

Selective genotyping with epistasis can be utilized for a major quantitative trait locus mapping in hypertension in rats.

Y Ohno1, H Tanase, T Nabika, K Otsuka, T Sasaki, T Suzawa, T Morii, Y Yamori, T Saruta.   

Abstract

Epistasis used to be considered an obstacle in mapping quantitative trait loci (QTL) despite its significance. Numerous epistases have proved to be involved in quantitative genetics. We established a backcross model that demonstrates a major QTL for hypertension (Ht). Seventy-eight backcrossed rats (BC), derived from spontaneously hypertensive rats (SHR) and normotensive Fischer 344 rats, showed bimodal distribution of systolic blood pressure (BP) values and a phenotypic segregation ratio consistent with 1:1. In this backcross analysis, sarco(endo)plasmic reticulum Ca(2+)-dependent ATPase (Serca) II heterozygotes showed widespread bimodality in frequency distribution of BP values and obviously demonstrated Ht. First, in genome-wide screening, Mapmaker/QTL analysis mapped Ht at a locus between D1Mgh8 and D1Mit4 near Sa in all 78 BC. The peak logarithm of the odds (LOD) score reached 5.3. Second, Serca II heterozygous and homozygous BC were analyzed separately using Mapmaker/QTL. In the 35 Serca II heterozygous BC, the peak LOD score was 3.8 at the same locus whereas it did not reach statistical significance in the 43 Serca II homozygotes. Third, to map Ht efficiently, we selected 18 Serca II heterozygous BC with 9 highest and 9 lowest BP values. In these 18 BC, the peak LOD score reached 8.1. In 17 of the 18, D1Mgh8 genotypes (homo or hetero) qualitatively cosegregated with BP phenotypes (high or low) (P < 0.0001, by chi-square analysis). In conclusion, selective genotyping with epistasis can be utilized for a major QTL mapping near Sa on chromosome 1 in SHR.

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Year:  2000        PMID: 10835399      PMCID: PMC1461129     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  31 in total

1.  Systematic detection of errors in genetic linkage data.

Authors:  S E Lincoln; E S Lander
Journal:  Genomics       Date:  1992-11       Impact factor: 5.736

2.  Quantitative trait loci in genetically hypertensive rats. Possible sex specificity.

Authors:  J S Clark; B Jeffs; A O Davidson; W K Lee; N H Anderson; M T Bihoreau; M J Brosnan; A M Devlin; A W Kelman; K Lindpaintner; A F Dominiczak
Journal:  Hypertension       Date:  1996-11       Impact factor: 10.190

3.  Who's afraid of epistasis?

Authors:  W N Frankel; N J Schork
Journal:  Nat Genet       Date:  1996-12       Impact factor: 38.330

4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

5.  Genetic linkage of the sarco(endo)plasmic reticulum Ca(2+)-dependent ATPase II gene to intracellular Ca2+ concentration in the spontaneously hypertensive rat.

Authors:  Y Ohno; K Matsuo; H Suzuki; H Tanase; T Serikawa; T Takano; T Saruta
Journal:  Biochem Biophys Res Commun       Date:  1996-10-23       Impact factor: 3.575

6.  Genotypes of sarco(endo)plasmic reticulum Ca(2+)-dependent ATPase II gene in substrains of spontaneously hypertensive rats.

Authors:  Y Ohno; K Matsuo; H Suzuki; H Tanase; H Ikeshima; T Takano; T Saruta
Journal:  J Hypertens       Date:  1996-03       Impact factor: 4.844

7.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

8.  Basal high blood pressure cosegregates with the loci on chromosome 1 in the F2 generation from crosses between normotensive Wistar Kyoto rats and stroke-prone spontaneously hypertensive rats.

Authors:  Y Nara; T Nabika; K Ikeda; M Sawamura; M Mano; J Endo; Y Yamori
Journal:  Biochem Biophys Res Commun       Date:  1993-08-16       Impact factor: 3.575

9.  Analysis of the role of angiotensinogen in spontaneous hypertension.

Authors:  D Lodwick; M A Kaiser; J Harris; F Cumin; M Vincent; N J Samani
Journal:  Hypertension       Date:  1995-06       Impact factor: 10.190

10.  Identification of a candidate gene responsible for the high blood pressure of spontaneously hypertensive rats.

Authors:  N Iwai; T Inagami
Journal:  J Hypertens       Date:  1992-10       Impact factor: 4.844

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  9 in total

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3.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

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4.  Selective genotyping and phenotyping strategies in a complex trait context.

Authors:  Saunak Sen; Frank Johannes; Karl W Broman
Journal:  Genetics       Date:  2009-01-19       Impact factor: 4.562

5.  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

6.  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

7.  QTL, additive and epistatic effects for SCN resistance in PI 437654.

Authors:  Xiaolei Wu; Sean Blake; David A Sleper; J Grover Shannon; Perry Cregan; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2009-02-01       Impact factor: 5.699

Review 8.  Towards Precision Medicine for Hypertension: A Review of Genomic, Epigenomic, and Microbiomic Effects on Blood Pressure in Experimental Rat Models and Humans.

Authors:  Sandosh Padmanabhan; Bina Joe
Journal:  Physiol Rev       Date:  2017-10-01       Impact factor: 37.312

9.  Mapping QTLs with digenic epistasis under multiple environments and predicting heterosis based on QTL effects.

Authors:  Yong-Ming Gao; Jun Zhu
Journal:  Theor Appl Genet       Date:  2007-05-30       Impact factor: 5.574

  9 in total

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