H. A. Lawson

发表

Comparative and demographic analysis of orang-utan genomes

Albert J. Vilella, Zhengyuan O. Wang, Matthew W. Hahn, 2011, Nature.

Evolutionary and Biomedical Insights from the Rhesus Macaque Genome

David N. Messina, Ryan D. Hernandez, Jeffery P. Demuth, 2007, Science.

Finding cis-regulatory elements using comparative genomics: some lessons from ENCODE data.

W. Miller, James Taylor, R. Hardison, 2007, Genome research.

Genomic imprinting and parent-of-origin effects on complex traits

J. Cheverud, H. A. Lawson, J. Wolf, 2013, Nature Reviews Genetics.

Exploring long-range genome interactions using the WashU Epigenome Browser

Ting Wang, Daofeng Li, H. A. Lawson, 2013, Nature Methods.

Natural brown adipose expansion and remission of hyperglycemia in obese SM/J mice

H. A. Lawson, M. Kunzmann, S. Gunawardana, 2019, bioRxiv.

Using whole-genome sequences of the LG/J and SM/J inbred mouse strains to prioritize quantitative trait genes and nucleotides

D. Conrad, J. Cheverud, J. Fay, 2015, BMC Genomics.

Brown Adipose Expansion and Remission of Glycemic Dysfunction in Obese SM/J Mice

H. A. Lawson, S. Gunawardana, C. S. St. Pierre, 2020, Cell reports.

Genetic factors and diet affect long-bone length in the F34 LG,SM advanced intercross

J. Cheverud, H. A. Lawson, L. S. Pletscher, 2011, Mammalian Genome.

Metabolic syndrome components in murine models.

J. Cheverud, H. A. Lawson, Heather A. Lawson, 2010, Endocrine, metabolic & immune disorders drug targets.

Some lessons from ENCODE data-regulatory elements using comparative genomics : cisFinding data

W. Miller, James Taylor, R. Hardison, 2007 .

TRAP-based allelic translation efficiency imbalance analysis to identify genetic regulation of ribosome occupancy in specific cell types in vivo

J. Dougherty, H. A. Lawson, A. Fischer, 2020, bioRxiv.

REVIEW Genetics of Metabolic Syndrome Epigenetics of metabolic syndrome

H. A. Lawson, Caryn Carson, Heather A. Lawson, 2018 .

A Metaphoric Rise to Stardom

H. A. Lawson, K. Weiss, 2005 .

Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

J. Cheverud, I. Borecki, A. Kraja, 2012, Metabolism: clinical and experimental.

Integrated transcriptomics identifies β-cell subpopulations and genetic networks associated with obesity and glycemic control in SM/J mice

H. A. Lawson, Mario A. Miranda, Juan F Macias-Velasco, 2021, bioRxiv.

Genetic background and diet affect brown adipose gene co-expression – metabolic associations

H. A. Lawson, Caryn Carson, Heather A. Lawson, 2019, bioRxiv.

The NIEHS TaRGET II Consortium and environmental epigenomics

David L. Aylor, Erica C. Pehrsson, S. Rajagopalan, 2018, Nature Biotechnology.

Pancreatic β-cell heterogeneity in health and diabetes: classes, sources, and subtypes.

H. A. Lawson, Mario A. Miranda, Juan F Macias-Velasco, 2021, American journal of physiology. Endocrinology and metabolism.

The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs

Mark D Shriver, Keith W. Jones, Joshua M Akey, 2004, Human Genomics.

The Human Pangenome Project: a global resource to map genomic diversity

Joshua F. McMichael, Hanlee P. Ji, Adam M. Novak, 2022, Nature.

Genetic, epigenetic, and environmental mechanisms govern allele-specific gene expression

H. A. Lawson, C. Semenkovich, L. Yin, 2021, bioRxiv.

Supplemental Section S1 – Genome Sequencing and Assembly........................................... 2 Supplemental Section S2 – Indel Assessment with the Neutral Indel Model ................11 Supplemental Section S3 – Great Ape Divergence Estimate via Wgs Read Mapping..11 Supplemental Section S7 –

Albert J. Vilella, Zhengyuan O. Wang, Miriam K. Konkel, 2022 .

Mouse Genetics

H. A. Lawson, V. Coppola, Shree Ram Singh, 2014, Methods in Molecular Biology.

Diet‐Dependent Genetic and Genomic Imprinting Effects on Obesity in Mice

Taylor J. Maxwell, J. Cheverud, H. A. Lawson, 2011, Obesity.

Genetic background and diet affect brown adipose gene co-expression networks associated with metabolic phenotypes.

H. A. Lawson, Caryn Carson, Heather A. Lawson, 2020, Physiological genomics.

Parent-of-origin effects propagate through networks to shape metabolic traits

J. Cheverud, H. A. Lawson, C. Semenkovich, 2021, bioRxiv.

Spontaneous restoration of functional β‐cell mass in obese SM/J mice

H. A. Lawson, M. Kunzmann, C. S. St. Pierre, 2020, Physiological reports.

Spontaneous restoration of functional β-cell mass in obese SM/J mice

H. A. Lawson, M. Kunzmann, C. S. St. Pierre, 2020, bioRxiv.

The importance of context to the genetic architecture of diabetes-related traits is revealed in a genome-wide scan of a LG/J × SM/J murine model

Taylor J. Maxwell, J. Cheverud, H. A. Lawson, 2011, Mammalian Genome.

Genetic, epigenetic, and gene-by-diet interaction effects underlie variation in serum lipids in a LG/J×SM/J murine model[S]

Taylor J. Maxwell, J. Cheverud, H. A. Lawson, 2010, Journal of Lipid Research.

Animal Models of Metabolic Syndrome

H. A. Lawson, J. P. Wayhart, Jessica P. Wayhart, 2017 .

Chapter 11 – Animal Models of Metabolic Syndrome

H. A. Lawson, Heather A. Lawson, 2013 .

Epigenetics of metabolic syndrome.

H. A. Lawson, Caryn Carson, Heather A. Lawson, 2018, Physiological genomics.

Interacting Networks Associated with Parent-of-Origin Effects on Metabolic Traits

H. A. Lawson, C. Semenkovich, K. Funai, 2019, bioRxiv.

Genetic Effects at Pleiotropic Loci Are Context-Dependent with Consequences for the Maintenance of Genetic Variation in Populations

J. Cheverud, H. A. Lawson, J. Wolf, 2011, PLoS genetics.

Dietary iron interacts with genetic background to influence glucose homeostasis

H. A. Lawson, C. S. St. Pierre, Mario A. Miranda, 2019, Nutrition & Metabolism.

Ironing out the Details: Untangling Dietary Iron and Genetic Background in Diabetes

H. A. Lawson, Mario A. Miranda, Heather A. Lawson, 2018, Nutrients.

Reduced efficiency of sarcolipin-dependent respiration in myocytes from humans with severe obesity

H. A. Lawson, Haowei Song, J. Turk, 2015, Obesity.

Early onset of disc degeneration in SM/J mice is associated with changes in ion transport systems and fibrotic events.

P. Sham, J. Cheverud, M. Kudelko, 2018, Matrix biology : journal of the International Society for Matrix Biology.

Integrated transcriptomics contrasts fatty acid metabolism with hypoxia response in β-cell subpopulations associated with glycemic control

H. A. Lawson, Mario A. Miranda, Heather Schmidt, 2023, BMC Genomics.

Physiologic and genetic evidence links hemopexin to triglycerides in mice and humans

H. A. Lawson, S. Klein, C. Semenkovich, 2017, International Journal of Obesity.

Imputation of Single-Nucleotide Polymorphisms in Inbred Mice Using Local Phylogeny

Leonard McMillan, L. McMillan, J. Cheverud, 2012, Genetics.

Transposable elements in mammalian chromatin organization

H. A. Lawson, Yonghao Liang, Ting Wang, 2023, Nature Reviews Genetics.

Fine-mapping quantitative trait loci affecting murine external ear tissue regeneration in the LG/J by SM/J advanced intercross line

J. Cheverud, H. A. Lawson, A. Kossenkov, 2014, Heredity.

Epigenomic analysis reveals prevalent contribution of transposable elements to cis-regulatory elements, tissue-specific expression, and alternative promoters in zebrafish

Nakul M. Shah, Feng Yue, H. A. Lawson, 2022, Genome research.

Mouse Genetics

H. A. Lawson, Heather A Lawson, 1939, Science.

Using whole-genome sequences of the LG/J and SM/J inbred mouse strains to prioritize quantitative trait genes and nucleotides

D. Conrad, J. Cheverud, J. Fay, 2015, BMC Genomics.