Molly Hall

Dr. Frances Keesler Graham Early Career Professor; Assistant Professor of Veterinary and Biomedical Sciences

Molly Hall

Research Summary

Building tools to elucidate the complex genetic and environmental underpinnings of human disease. Integrating genetic (genotype, sequence, structural variation) and exposure (derived from surveys and metabolomics methods) big data to predict disease status.

Huck Graduate Students

Huck Affiliations

Links

Publication Tags

Genes Genomics Health Single Nucleotide Polymorphism Genome Wide Association Study Phenotype Fatty Acids Electronic Health Records (1,2 Diamino 4 Nitrobenzene)Dichloroplatinum(Ii) Precision Medicine Genome Cataract Quality Control Medical Problems Type 2 Diabetes Mellitus Software Nucleotides Polymorphism Medicine Pleiotropy Glaucoma Gene Computer Programs Electronics Gene Environment Interaction

Most Recent Papers

Novel EDGE encoding method enhances ability to identify genetic interactions

Molly A. Hall, John Wallace, Anastasia M. Lucas, Yuki Bradford, Shefali S. Verma, Bertram Müller-Myhsok, Kristin Passero, Jiayan Zhou, John McGuigan, Beibei Jiang, Sarah A. Pendergrass, Yanfei Zhang, Peggy Peissig, Murray Brilliant, Patrick Sleiman, Hakon Hakonarson, John B. Harley, Krzysztof Kiryluk, Kristel van Steen, Jason H. Moore, Marylyn D. Ritchie, 2021, PLoS Genetics

Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers

M Aguilar, J McGuigan, Molly Hall, 2021, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 316-327

What About the Environment? Leveraging Multi-Omic Datasets to Characterize the Environment’s Role in Human Health.

K Passero, S Setia-Verma, K McAllister, A Manrai, C Patel, Molly Hall, 2021, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 309-315

Investigation of gene-gene interactions in cardiac diseases and serum fatty acid levels in LURIC cohort

J Zhou, K Passero, N Palmiero, B Mueller-Myhsok, M Kleber, W Maerz, Molly Hall, 2020, PLoS One

Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data

Kristin Passero, Xi He, Jiayan Zhou, Bertram Mueller-Myhsok, Marcus E. Kleber, Winfried Maerz, Molly A. Hall, 2020, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 659-670

CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits

Anastasia M. Lucas, Nicole E. Palmiero, John McGuigan, Kristin Passero, Jiayan Zhou, Deven Orie, Marylyn D. Ritchie, Molly A. Hall, 2019, Frontiers in Genetics

Analysis of Gene-Gene Interactions

B Cole, Molly Hall, R Urbanowicz, D Gilbert-Diamond, J Moore, 2018, Current Protocols in Human Genetics

Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS

Elisabetta Manduchi, Alessandra Chesi, Molly A. Hall, Struan F.A. Grant, Jason H. Moore, 2018, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 548-558

Gene-gene interactions

Molly A. Hall, Brian S. Cole, Jason H. Moore, 2018, on p. 171-177

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

Molly A. Hall, John Wallace, Anastasia Lucas, Dokyoon Kim, Anna O. Basile, Shefali S. Verma, Cathy A. McCarty, Murray H. Brilliant, Peggy L. Peissig, Terrie E. Kitchner, Anurag Verma, Sarah A. Pendergrass, Scott M. Dudek, Jason H. Moore, Marylyn D. Ritchie, 2017, Nature Communications

Most-Cited Papers

Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health

Arjun K. Manrai, Yuxia Cui, Pierre R. Bushel, Molly Hall, Spyros Karakitsios, Carolyn J. Mattingly, Marylyn Ritchie, Charles Schmitt, Denis A. Sarigiannis, Duncan C. Thomas, David Wishart, David M. Balshaw, Chirag J. Patel, 2017, Annual Review of Public Health on p. 279-294

Detection of Pleiotropy through a Phenome-Wide Association Study (PheWAS) of Epidemiologic Data as Part of the Environmental Architecture for Genes Linked to Environment (EAGLE) Study

Molly Hall, Anurag Verma, Kristin D. Brown-Gentry, Robert Goodloe, Jonathan Boston, Sarah Wilson, Bob McClellan, Cara Sutcliffe, Holly H. Dilks, Nila B. Gillani, Hailing Jin, Ping Mayo, Melissa Allen, Nathalie Schnetz-Boutaud, Dana C. Crawford, Marylyn Deriggi Ritchie, Sarah A. Pendergrass, 2014, PLoS Genetics

Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project Biobank

Molly A. Hall, Scott M. Dudek, Robert Goodloe, Dana C. Crawford, Sarah A. Pendergrass, Peggy Peissig, Murray Brilliant, Catherine A. McCarty, Marylyn D. Ritchie, 2014, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 200-211

Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium

Shefali Setia Verma, Jessica N. Cooke Bailey, Anastasia Lucas, Yuki Bradford, James G. Linneman, Michael A. Hauser, Louis R. Pasquale, Peggy L. Peissig, Murray H. Brilliant, Catherine A. McCarty, Jonathan L. Haines, Janey L. Wiggs, Tamara R. Vrabec, Gerard Tromp, Marylyn D. Ritchie, Jonathan Bickel, Ariel Chandler, Ingrid Holm, Isaac Kohane, Shannon Manzi, Kyriacos Markianos, Nathan Palmer, Cassandra Perry, Guergana Savova, Wendy Wolf, Sek Wong Kong, Armand Antommaria, Beth Cobb, John Harley, John Hutton, Todd Lingren, John Lynch, Keith Marsolo, Melanie Myers, Bahram Namjou, Cindy Prows, Imre Solti, Sander Vinks, Michael Wagner, Debbie Abrams, Berta Almoguera, Rosetta Chiavacci, John Connolly, Marcella Devoto, Hakon Hakonarson, Brendan Keating, Cecilia Kim, Frank Mentch, Haijun Qui, Patrick Sleiman, 2016, PLoS Genetics

Embracing Complex Associations in Common Traits

Molly A. Hall, Jason H. Moore, Marylyn D. Ritchie, 2016, Trends in Genetics on p. 470-484

Electronic medical records and genomics (eMERGE) network exploration in cataract

Marylyn D. Ritchie, Shefali S. Verma, Molly A. Hall, Robert J. Goodloe, Richard L. Berg, Dave S. Carrell, Christopher S. Carlson, Lin Chen, David R. Crosslin, Joshua C. Denny, Gail Jarvik, Rongling Li, James G. Linneman, Jyoti Pathak, Peggy Peissig, Luke V. Rasmussen, Andrea H. Ramirez, Xiaoming Wang, Russell A. Wilke, Wendy A. Wolf, Eric S. Torstenson, Stephen D. Turner, Catherine A. McCarty, 2014, Molecular Vision on p. 1281-1295

The joint effect of air pollution exposure and copy number variation on risk for autism

Dokyoon Kim, Heather Volk, Santhosh Girirajan, Sarah Pendergrass, Molly Hall, Shefali S. Verma, Rebecca J. Schmidt, Robin L. Hansen, Debashis Ghosh, Yunin Ludena-Rodriguez, Kyoungmi Kim, Marylyn Deriggi Ritchie, Irva Hertz-Picciotto, Scott Brian Selleck, 2017, Autism Research on p. 1470-1480

Next-generation analysis of cataracts

Sarah A. Pendergrass, Shefali S. Verma, Molly A. Hall, Emily R. Holzinger, Carrie B. Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie Kitchner, Carol Waudby, Richard Berg, Catherine A. McCarty, Marylyn D. Ritchie, 2013, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 147-158

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

Molly A. Hall, John Wallace, Anastasia Lucas, Dokyoon Kim, Anna O. Basile, Shefali S. Verma, Cathy A. McCarty, Murray H. Brilliant, Peggy L. Peissig, Terrie E. Kitchner, Anurag Verma, Sarah A. Pendergrass, Scott M. Dudek, Jason H. Moore, Marylyn D. Ritchie, 2017, Nature Communications

Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network

Molly Hall, Shefali S. Verma, John Wallace, Anastasia Lucas, Richard L. Berg, John Connolly, Dana C. Crawford, David R. Crosslin, Mariza de Andrade, Kimberly F. Doheny, Jonathan L. Haines, John B. Harley, Gail P. Jarvik, Terrie Kitchner, Helena Kuivaniemi, Eric B. Larson, David S. Carrell, Gerard Tromp, Tamara R. Vrabec, Sarah A. Pendergrass, Catherine A. Mccarty, Marylyn Deriggi Ritchie, 2015, Genetic Epidemiology on p. 376-384