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 Single Nucleotide Polymorphism Lipids Genomics Polymorphism Nucleotides Cholesterol Genome Wide Association Study Phenotype (1,2 Diamino 4 Nitrobenzene)Dichloroplatinum(Ii) Testing Electronic Health Records Gene Genome Interaction Triglycerides Datasets Software Electronics Autistic Disorder Replication Computer Programs Cataract Air Pollution Glaucoma

Most Recent Papers

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

M Aguilar, J McGuigan, Molly Hall, 2021, 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, on p. 309-315

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

K Passero, X He, J Zhou, B Mueller-Myhsok, M Kleber, W Maerz, Molly Hall, 2020, Pacific Symposium of 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

Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in type 2 diabetes GWAS

E Manduchi, A Chesi, Molly Hall, SFA Grant, J Moore, 2018, Pacific Symposium on Biocomputing on p. 548-558

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

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

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

Emily R. Holzinger, Shefali S. Verma, Carrie B. Moore, Molly Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P.A. Van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried MOrz, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. Van Der Schouw, James G. Wilson, Mika Kivimaki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie, 2017, BioData Mining

Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts

Rishika De, Shefali S. Verma, Emily Holzinger, Molly Hall, Amber Burt, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Leslie A. Lange, Matthew B. Lanktree, Eric B. Larson, Kari E. North, Alex P. Reiner, Vinicius Tragante, Gerard Tromp, James G. Wilson, Folkert W. Asselbergs, Fotios Drenos, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond, 2017, Human Genetics on p. 165-178

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

Arjun Manrai, Yuxia Cui, Pierre Bushel, Molly Hall, Spyros Karakitsios, Carolyn Mattingly, M Ritchie, Charles Schmitt, Denis Sarigiannis, Duncan Thomas, David Wishart, David Balshaw, Chirag Patel, 2017, ANNUAL REVIEW OF PUBLIC HEALTH, VOL 38 on p. 279-294

Most-Cited Papers

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

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

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

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

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)

Rishika De, Shefali S. Verma, Fotios Drenos, Emily R. Holzinger, Michael V. Holmes, Molly A. Hall, David R. Crosslin, David S. Carrell, Hakon Hakonarson, Gail Jarvik, Eric Larson, Jennifer A. Pacheco, Laura J. Rasmussen-Torvik, Carrie B. Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan J. Keating, Diane Gilbert-Diamond, 2015, BioData Mining

Phenome-Wide Association Studies

Sarah A. Pendergrass, Anurag Verma, Anna Okula, Molly Hall, Dana C. Crawford, Marylyn Deriggi Ritchie, 2015, Human Heredity on p. 111-123

Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts

Rishika De, Shefali S. Verma, Emily Holzinger, Molly Hall, Amber Burt, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Leslie A. Lange, Matthew B. Lanktree, Eric B. Larson, Kari E. North, Alex P. Reiner, Vinicius Tragante, Gerard Tromp, James G. Wilson, Folkert W. Asselbergs, Fotios Drenos, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond, 2017, Human Genetics on p. 165-178

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

Emily R. Holzinger, Shefali S. Verma, Carrie B. Moore, Molly Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P.A. Van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried MOrz, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. Van Der Schouw, James G. Wilson, Mika Kivimaki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie, 2017, BioData Mining