Aldons J. Lusis

发表

Gene networks associated with conditional fear in mice identified using a systems genetics approach

Eleazar Eskin, Andy Lin, Brian J. Bennett, 2011, BMC Systems Biology.

Maximal information component analysis: a novel non-linear network analysis method

Brian J. Bennett, James Weiss, Brian Bennett, 2013, Front. Genet..

Efficient and Accurate Multiple-Phenotypes Regression Method for High Dimensional Data Considering Population Structure

Jong Wha J. Joo, Eleazar Eskin, Eun Yong Kang, 2015, RECOMB.

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

Steve Horvath, Jason E. Aten, Tova Fuller, 2008, BMC Systems Biology.

Atherosclerosis : Vascular biology

Aldons J. Lusis, A. Lusis, 2000 .

An Integration of Genome-Wide Association Study and Gene Expression Profiling to Prioritize the Discovery of Novel Susceptibility Loci for Osteoporosis-Related Traits

Nicole Soranzo, Eric E. Schadt, Serge Ferrari, 2010, PLoS genetics.

Hyperglycemia and a Common Variant of GCKR Are Associated With the Levels of Eight Amino Acids in 9,369 Finnish Men

Jussi Paananen, Johanna Kuusisto, Päivi Pajukanta, 2012, Diabetes.

Meta-Analysis Identifies Gene-by-Environment Interactions as Demonstrated in a Study of 4,965 Mice

Jong Wha J. Joo, Eleazar Eskin, Buhm Han, 2014, PLoS genetics.

High-Resolution Mapping of Gene Expression Using Association in an Outbred Mouse Stock

Eleazar Eskin, Anatole Ghazalpour, Aldons J. Lusis, 2008, PLoS genetics.

Familial Combined Hyperlipidemia in Mexicans: Association With Upstream Transcription Factor 1 and Linkage on Chromosome 16q24.1

Päivi Pajukanta, Teresa Tusie-Luna, Aldons J. Lusis, 2005, Arteriosclerosis, thrombosis, and vascular biology.

Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease

Tom Michoel, Ben Readhead, Brian A. Kidd, 2016, Cell systems.

A thematic review series: systems biology approaches to metabolic and cardiovascular disorders

Aldons J. Lusis, A. Lusis, 2006, Journal of Lipid Research.

Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice

Eric E. Schadt, Aldons J. Lusis, Thomas A. Drake, 2006, Mammalian Genome.

Validation of Candidate Causal Genes for Abdominal Obesity Which Affect Shared Metabolic Pathways and Networks

Xia Yang, Eric E. Schadt, Joshua L. Deignan, 2009, Nature Genetics.

What Genes Can't Do

Aldons J. Lusis, A. Lusis, 2003, Nature Medicine.

CHAC1/MGC4504 Is a Novel Proapoptotic Component of the Unfolded Protein Response, Downstream of the ATF4-ATF3-CHOP Cascade1

Omid Kohannim, Aldons J. Lusis, Omid Kohannim, 2009, The Journal of Immunology.

Identification of macrophage liver X receptors as inhibitors of atherosclerosis

Aldons J. Lusis, Peter Tontonoz, D. Mangelsdorf, 2002, Proceedings of the National Academy of Sciences of the United States of America.

Identification of inflammatory gene modules based on variations of human endothelial cell responses to oxidized lipids

Aiqing He, Steve Horvath, Stanley F. Nelson, 2006, Proceedings of the National Academy of Sciences.

Metabolic syndrome: from epidemiology to systems biology

Aldons J. Lusis, Alan D. Attie, A. Attie, 2008, Nature Reviews Genetics.

Variability and compensation of cardiomycoyte ionic conductances at the population level

Marc Santolini, Alain Karma, Aldons J. Lusis, 2018, bioRxiv.

Mouse Genome-Wide Association and Systems Genetics Identify Asxl2 As a Regulator of Bone Mineral Density and Osteoclastogenesis

Eleazar Eskin, Wei Zou, Emrah Kostem, 2011, PLoS genetics.

The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases

Karen L. Mohlke, Johanna Kuusisto, Päivi Pajukanta, 2017, Journal of Lipid Research.

Network for Activation of Human Endothelial Cells by Oxidized Phospholipids: A Critical Role of Heme Oxygenase 1

Aldons J. Lusis, Calvin Pan, Fen Yin, 2011, Circulation research.

Systems-based approaches to cardiovascular disease

W. Robb MacLellan, Aldons J. Lusis, Yibin Wang, 2012, Nature Reviews Cardiology.

The Systems Genetics Resource: A Web Application to Mine Global Data for Complex Disease Traits

Eric M. Sobel, Jeanette C. Papp, Anatole Ghazalpour, 2013, Front. Genet..

Efficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population Structure

Jong Wha J. Joo, Eleazar Eskin, Farhad Hormozdiari, 2016, Genetics.

Molecular basis of the little mouse phenotype and Implications for cell type-specific growth

Aldons J. Lusis, Paul E. Sawchenko, Michael G. Rosenfeld, 1993, Nature.

A multi-tissue full lifespan epigenetic clock for mice

Anuj Srivastava, Matteo Pellegrini, Gary A. Churchill, 2018, Aging.

Integrating genotypic and expression data in a segregating mouse population to identify 5-lipoxygenase as a susceptibility gene for obesity and bone traits

Eric E. Schadt, Aldons J. Lusis, Pek Yee Lum, 2005 .

Identification of CAD candidate genes in GWAS loci and their expression in vascular cells[S]

Aldons J. Lusis, Calvin Pan, Raffi Hagopian, 2013, Journal of Lipid Research.

Association of the APOLIPOPROTEIN A 1 / C 3 / A 4 / A 5 Gene Cluster With Triglyceride Levels and LDL Particle Size in Familial Combined Hyperlipidemia

Päivi Pajukanta, Janet S. Sinsheimer, Aldons J. Lusis, 2004 .