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

-
512A Wartik Lab
University Park, PA - mah546@psu.edu
- 814-865-0794
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
- Bioinformatics and Genomics
- Molecular, Cellular, and Integrative Biosciences
- Integrative and Biomedical Physiology
- Center for Molecular Toxicology and Carcinogenesis
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 GlaucomaMost 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