Literature DB >> 19648292

Copy number variation influences gene expression and metabolic traits in mice.

Luz D Orozco1, Shawn J Cokus, Anatole Ghazalpour, Leslie Ingram-Drake, Susanna Wang, Atila van Nas, Nam Che, Jesus A Araujo, Matteo Pellegrini, Aldons J Lusis.   

Abstract

Copy number variants (CNVs) are genomic segments which are duplicated or deleted among different individuals. CNVs have been implicated in both Mendelian and complex traits, including immune and behavioral disorders, but the study of the mechanisms by which CNVs influence gene expression and clinical phenotypes in humans is complicated by the limited access to tissues and by population heterogeneity. We now report studies of the effect of 19 CNVs on gene expression and metabolic traits in a mouse intercross between strains C57BL/6J and C3H/HeJ. We found that 83% of genes predicted to occur within CNVs were differentially expressed. The expression of most CNV genes was correlated with copy number, but we also observed evidence that gene expression was altered in genes flanking CNVs, suggesting that CNVs may contain regulatory elements for these genes. Several CNVs mapped to hotspots, genomic regions influencing expression of tens or hundreds of genes. Several metabolic traits including cholesterol, triglycerides, glucose and body weight mapped to three CNVs in the genome, in mouse chromosomes 1, 4 and 17. Predicted CNV genes, such as Itlna, Defcr-1, Trim12 and Trim34 were highly correlated with these traits. Our results suggest that CNVs have a significant impact on gene expression and that CNVs may be playing a role in the mechanisms underlying metabolic traits in mice.

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Year:  2009        PMID: 19648292      PMCID: PMC2758141          DOI: 10.1093/hmg/ddp360

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  38 in total

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Journal:  Hum Mol Genet       Date:  2007-08-03       Impact factor: 6.150

2.  Genotype, haplotype and copy-number variation in worldwide human populations.

Authors:  Mattias Jakobsson; Sonja W Scholz; Paul Scheet; J Raphael Gibbs; Jenna M VanLiere; Hon-Chung Fung; Zachary A Szpiech; James H Degnan; Kai Wang; Rita Guerreiro; Jose M Bras; Jennifer C Schymick; Dena G Hernandez; Bryan J Traynor; Javier Simon-Sanchez; Mar Matarin; Angela Britton; Joyce van de Leemput; Ian Rafferty; Maja Bucan; Howard M Cann; John A Hardy; Noah A Rosenberg; Andrew B Singleton
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Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-08       Impact factor: 11.205

4.  Complement factor H deficiency in aged mice causes retinal abnormalities and visual dysfunction.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-05       Impact factor: 11.205

5.  Distribution and functional impact of DNA copy number variation in the rat.

Authors:  Victor Guryev; Kathrin Saar; Tatjana Adamovic; Mark Verheul; Sebastiaan A A C van Heesch; Stuart Cook; Michal Pravenec; Timothy Aitman; Howard Jacob; James D Shull; Norbert Hubner; Edwin Cuppen
Journal:  Nat Genet       Date:  2008-05       Impact factor: 38.330

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Journal:  Science       Date:  2008-03-27       Impact factor: 47.728

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Authors:  Sabine M Hoelter; Claudia Dalke; Magdalena Kallnik; Lore Becker; Marion Horsch; Anja Schrewe; Jack Favor; Thomas Klopstock; Johannes Beckers; Boris Ivandic; Valérie Gailus-Durner; Helmut Fuchs; Martin Hrabé de Angelis; Jochen Graw; Wolfgang Wurst
Journal:  Front Biosci       Date:  2008-05-01

8.  Association between microdeletion and microduplication at 16p11.2 and autism.

Authors:  Lauren A Weiss; Yiping Shen; Joshua M Korn; Dan E Arking; David T Miller; Ragnheidur Fossdal; Evald Saemundsen; Hreinn Stefansson; Manuel A R Ferreira; Todd Green; Orah S Platt; Douglas M Ruderfer; Christopher A Walsh; David Altshuler; Aravinda Chakravarti; Rudolph E Tanzi; Kari Stefansson; Susan L Santangelo; James F Gusella; Pamela Sklar; Bai-Lin Wu; Mark J Daly
Journal:  N Engl J Med       Date:  2008-01-09       Impact factor: 91.245

9.  Analysis of copy number variation in the rhesus macaque genome identifies candidate loci for evolutionary and human disease studies.

Authors:  Arthur S Lee; María Gutiérrez-Arcelus; George H Perry; Eric J Vallender; Welkin E Johnson; Gregory M Miller; Jan O Korbel; Charles Lee
Journal:  Hum Mol Genet       Date:  2008-01-07       Impact factor: 6.150

10.  Using genetic markers to orient the edges in quantitative trait networks: the NEO software.

Authors:  Jason E Aten; Tova F Fuller; Aldons J Lusis; Steve Horvath
Journal:  BMC Syst Biol       Date:  2008-04-15
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  59 in total

1.  Genetics of fat tissue accumulation in pigs: a comparative approach.

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Review 2.  Physiological insights gained from gene expression analysis in obesity and diabetes.

Authors:  Mark P Keller; Alan D Attie
Journal:  Annu Rev Nutr       Date:  2010-08-21       Impact factor: 11.848

3.  Copy number variation modifies expression time courses.

Authors:  Evelyne Chaignat; Emilie Aït Yahya-Graison; Charlotte N Henrichsen; Jacqueline Chrast; Frédéric Schütz; Sylvain Pradervand; Alexandre Reymond
Journal:  Genome Res       Date:  2010-11-17       Impact factor: 9.043

4.  Construction and phenotypic analysis of mice carrying a duplication of the major histocompatibility class I (MHC-I) locus.

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Journal:  Mamm Genome       Date:  2012-07-07       Impact factor: 2.957

5.  Clinical assessment and genomic landscape of a consanguineous family with three Kallmann syndrome descendants.

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Journal:  Asian J Androl       Date:  2010-11-01       Impact factor: 3.285

Review 6.  Metabolic syndrome components in murine models.

Authors:  Heather A Lawson; James M Cheverud
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-03       Impact factor: 2.895

7.  The evolutionary genetics of the genes underlying phenotypic associations for loblolly pine (Pinus taeda, Pinaceae).

Authors:  Andrew J Eckert; Jill L Wegrzyn; John D Liechty; Jennifer M Lee; W Patrick Cumbie; John M Davis; Barry Goldfarb; Carol A Loopstra; Sreenath R Palle; Tania Quesada; Charles H Langley; David B Neale
Journal:  Genetics       Date:  2013-10-11       Impact factor: 4.562

Review 8.  Adaptive potential of genomic structural variation in human and mammalian evolution.

Authors:  David W Radke; Charles Lee
Journal:  Brief Funct Genomics       Date:  2015-05-23       Impact factor: 4.241

9.  Variation and genetic control of gene expression in primary immunocytes across inbred mouse strains.

Authors:  Sara Mostafavi; Adriana Ortiz-Lopez; Molly A Bogue; Kimie Hattori; Cristina Pop; Daphne Koller; Diane Mathis; Christophe Benoist
Journal:  J Immunol       Date:  2014-09-29       Impact factor: 5.422

10.  Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction.

Authors:  Dokyoon Kim; Hyunjung Shin; Kyung-Ah Sohn; Anurag Verma; Marylyn D Ritchie; Ju Han Kim
Journal:  Methods       Date:  2014-02-18       Impact factor: 3.608

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