Literature DB >> 20068026

Fine-mapping a locus for glucose tolerance using heterogeneous stock rats.

Leah C Solberg Woods1, Katie Holl, Michael Tschannen, William Valdar.   

Abstract

Heterogeneous stock (HS) animals provide the ability to map quantitative trait loci at high resolution [<5 Megabase (Mb)] in a relatively short time period. In the current study, we hypothesized that the HS rat colony would be useful for fine-mapping a region on rat chromosome 1 that has previously been implicated in glucose regulation. We administered a glucose tolerance test to 515 HS rats and genotyped these animals with 69 microsatellite markers, spaced an average distance of <1 Mb apart, on a 67 Mb region of rat chromosome 1. Using regression modeling of inferred haplotypes based on a hidden Markov model reconstruction and mixed model analysis in which we accounted for the complex family structure of the HS, we identified one sharp peak within this region. Using positional bootstrapping, we determined the most likely location of this locus is from 205.04 to 207.48 Mb. This work demonstrates the utility of HS rats for fine-mapping complex traits and emphasizes the importance of taking into account family structure when using highly recombinant populations.

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Year:  2010        PMID: 20068026      PMCID: PMC2841497          DOI: 10.1152/physiolgenomics.00178.2009

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  48 in total

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Journal:  Mamm Genome       Date:  1998-06       Impact factor: 2.957

3.  Confidence intervals in QTL mapping by bootstrapping.

Authors:  P M Visscher; R Thompson; C S Haley
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

4.  Using progenitor strain information to identify quantitative trait nucleotides in outbred mice.

Authors:  B Yalcin; J Flint; R Mott
Journal:  Genetics       Date:  2005-08-05       Impact factor: 4.562

5.  Linkage of type 2 diabetes mellitus and of age at onset to a genetic location on chromosome 10q in Mexican Americans.

Authors:  R Duggirala; J Blangero; L Almasy; T D Dyer; K L Williams; R J Leach; P O'Connell; M P Stern
Journal:  Am J Hum Genet       Date:  1999-04       Impact factor: 11.025

6.  Mapping diabetes QTL in an intercross derived from a congenic strain of the Brown Norway and Goto-Kakizaki rats.

Authors:  Stephan C Collins; Robert H Wallis; Steven P Wilder; Karin J Wallace; Karène Argoud; Pamela J Kaisaki; Marie-Thérèse Bihoreau; Dominique Gauguier
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

7.  Mapping and characterization of quantitative trait loci for non-insulin-dependent diabetes mellitus with an improved genetic map in the Otsuka Long-Evans Tokushima fatty rat.

Authors:  S Wei; K Wei; D H Moralejo; T Ogino; G Koike; H J Jacob; K Sugiura; Y Sasaki; T Yamada; K Matsumoto
Journal:  Mamm Genome       Date:  1999-03       Impact factor: 2.957

8.  Genetic modifiers of Leprfa associated with variability in insulin production and susceptibility to NIDDM.

Authors:  W K Chung; M Zheng; M Chua; E Kershaw; L Power-Kehoe; M Tsuji; X S Wu-Peng; J Williams; S C Chua; R L Leibel
Journal:  Genomics       Date:  1997-05-01       Impact factor: 5.736

9.  Glucose intolerance in spontaneously hypertensive and Wistar-Kyoto rats: enhanced gene expression and synthesis of skeletal muscle glucose transporter 4.

Authors:  S Katayama; M Inaba; Y Maruno; T Morita; T Awata; Y Oka
Journal:  Hypertens Res       Date:  1997-12       Impact factor: 3.872

10.  Identification of genetic loci involved in diabetes using a rat model of depression.

Authors:  Leah C Solberg Woods; Nasim Ahmadiyeh; Amber Baum; Kazuhiro Shimomura; Qian Li; Donald F Steiner; Fred W Turek; Joseph S Takahashi; Gary A Churchill; Eva E Redei
Journal:  Mamm Genome       Date:  2009-08-22       Impact factor: 2.957

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  30 in total

1.  Quantitative trait Loci association mapping by imputation of strain origins in multifounder crosses.

Authors:  Jin J Zhou; Anatole Ghazalpour; Eric M Sobel; Janet S Sinsheimer; Kenneth Lange
Journal:  Genetics       Date:  2011-12-05       Impact factor: 4.562

2.  Fine mapping of bone structure and strength QTLs in heterogeneous stock rat.

Authors:  Imranul Alam; Daniel L Koller; Toni Cañete; Gloria Blázquez; Carme Mont-Cardona; Regina López-Aumatell; Esther Martínez-Membrives; Sira Díaz-Morán; Adolf Tobeña; Alberto Fernández-Teruel; Pernilla Stridh; Margarita Diez; Tomas Olsson; Martina Johannesson; Amelie Baud; Michael J Econs; Tatiana Foroud
Journal:  Bone       Date:  2015-08-19       Impact factor: 4.398

Review 3.  QTL mapping in outbred populations: successes and challenges.

Authors:  Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

4.  An efficient method to handle the 'large p, small n' problem for genomewide association studies using Haseman-Elston regression.

Authors:  Bujun Mei; Zhihua Wang
Journal:  J Genet       Date:  2016-12       Impact factor: 1.166

Review 5.  The emerging role for rat models in gene discovery.

Authors:  Melinda R Dwinell; Jozef Lazar; Aron M Geurts
Journal:  Mamm Genome       Date:  2011-07-06       Impact factor: 2.957

6.  Heterogeneous stock rats: a new model to study the genetics of renal phenotypes.

Authors:  Leah C Solberg Woods; Cary Stelloh; Kevin R Regner; Tiffany Schwabe; Jessica Eisenhauer; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2010-03-10

7.  Heterogeneous stock rats: a model to study the genetics of despair-like behavior in adolescence.

Authors:  K Holl; H He; M Wedemeyer; L Clopton; S Wert; J K Meckes; R Cheng; A Kastner; A A Palmer; E E Redei; L C Solberg Woods
Journal:  Genes Brain Behav       Date:  2017-09-26       Impact factor: 3.449

8.  Propensity for social interaction predicts nicotine-reinforced behaviors in outbred rats.

Authors:  T Wang; W Han; B Wang; Q Jiang; L C Solberg-Woods; A A Palmer; H Chen
Journal:  Genes Brain Behav       Date:  2013-12-27       Impact factor: 3.449

9.  Tpcn2 knockout mice have improved insulin sensitivity and are protected against high-fat diet-induced weight gain.

Authors:  Hong He; Katie Holl; Sarah DeBehnke; Chay Teng Yeo; Polly Hansen; Abraham K Gebre; Sandra Leone-Kabler; Margarida Ruas; John S Parks; John Parrington; Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2018-05-11       Impact factor: 3.107

10.  Strong genetic influences on measures of behavioral-regulation among inbred rat strains.

Authors:  J B Richards; D R Lloyd; B Kuehlewind; L Militello; M Paredez; L Solberg Woods; A A Palmer
Journal:  Genes Brain Behav       Date:  2013-06-19       Impact factor: 3.449

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