Literature DB >> 11721057

A genomic-systems biology map for cardiovascular function.

M Stoll1, A W Cowley, P J Tonellato, A S Greene, M L Kaldunski, R J Roman, P Dumas, N J Schork, Z Wang, H J Jacob.   

Abstract

With the draft sequence of the human genome available, there is a need to better define gene function in the context of systems biology. We studied 239 cardiovascular and renal phenotypes in 113 male rats derived from an F2 intercross and mapped 81 of these traits onto the genome. Aggregates of traits were identified on chromosomes 1, 2, 7, and 18. Systems biology was assessed by examining patterns of correlations ("physiological profiles") that can be used for gene hunting, mechanism-based physiological studies, and, with comparative genomics, translating these data to the human genome.

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Year:  2001        PMID: 11721057     DOI: 10.1126/science.1062117

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  54 in total

Review 1.  Genome informatics: current status and future prospects.

Authors:  Raimond L Winslow; Mark S Boguski
Journal:  Circ Res       Date:  2003-05-16       Impact factor: 17.367

Review 2.  High throughput gene expression profiling: a molecular approach to integrative physiology.

Authors:  Mingyu Liang; Allen W Cowley; Andrew S Greene
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

Review 3.  Functional genomics in rodent models of hypertension.

Authors:  Martin W McBride; Fadi J Charchar; Delyth Graham; William H Miller; Pamela Strahorn; Fiona J Carr; Anna F Dominiczak
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

Review 4.  Identifying genes and genetic variation underlying human diseases and complex phenotypes via recombination mapping.

Authors:  Ulrich Broeckel; Nicholas J Schork
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

5.  Marker-assisted congenic screening (MACS): a database tool for the efficient production and characterization of congenic lines.

Authors:  Stephan C Collins; Robert H Wallis; Karin Wallace; Marie Thérèse Bihoreau; Dominique Gauguier
Journal:  Mamm Genome       Date:  2003-05       Impact factor: 2.957

6.  Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations.

Authors:  Joseph H Nadeau; Lindsay C Burrage; Joe Restivo; Yoh-Han Pao; Gary Churchill; Brian D Hoit
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

7.  Automated detection of informative combined effects in genetic association studies of complex traits.

Authors:  Nadia Tahri-Daizadeh; David-Alexandre Tregouet; Viviane Nicaud; Nicolas Manuel; François Cambien; Laurence Tiret
Journal:  Genome Res       Date:  2003-08       Impact factor: 9.043

8.  Multivariate analysis of quantitative trait loci influencing variation in anxiety-related behavior in laboratory mice.

Authors:  Maria Grazia Turri; John C DeFries; Norman D Henderson; Jonathan Flint
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

9.  Blood pressure in 15 inbred mouse strains and its lack of relation with obesity and insulin resistance in the progeny of an NZO/HILtJ x C3H/HeJ intercross.

Authors:  Chieko Tsukahara; Fumihiro Sugiyama; Beverly Paigen; Satoshi Kunita; Ken-Ichi Yagami
Journal:  Mamm Genome       Date:  2004-12       Impact factor: 2.957

10.  Quantitative founder-effect analysis of French Canadian families identifies specific loci contributing to metabolic phenotypes of hypertension.

Authors:  P Hamet; E Merlo; O Seda; U Broeckel; J Tremblay; M Kaldunski; D Gaudet; G Bouchard; B Deslauriers; F Gagnon; G Antoniol; Z Pausová; M Labuda; M Jomphe; F Gossard; G Tremblay; R Kirova; P Tonellato; S N Orlov; J Pintos; J Platko; T J Hudson; J D Rioux; T A Kotchen; A W Cowley
Journal:  Am J Hum Genet       Date:  2005-03-30       Impact factor: 11.025

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