Molly Hall, PhD, M.S.

Hypothalamic-pituitary-adrenal axis dysregulation and risk for obesity in sexually abused females
Psychoneuroendocrinology, Li, J, Hall, Molly, Putnam, F, Noll, J, 2022

Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data
Journal of Biomedical Informatics, Li, Lingyao, Zhou, Jiayan, Ma, Zihui, Bensi, Michelle T., Hall, Molly A., Baecher, Gregory B., 2022

Sex differences in the metabolome of Alzheimer's disease progression
Frontiers in Radiology, Gonzlaez-Zarzar, Tomas, Lee, Brian, Coughlin, Rory, Kim, Dokyoon, Shen, Li, Hall, Molly, 2022

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

Can social media be utilized to enhance early warning: Retrospective analysis of the U.S. COVID-19 pandemic outbreak
medRxiv, Lingyao, L, Gao, L, Zhou, J, Ma, Z, Hall, Molly, 2021

Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Aguilar, Morris A., McGuigan, John, Hall, Molly A., 2021

What About the Environment? Leveraging Multi-Omic Datasets to Characterize the Environment’s Role in Human Health.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Passero, K, Setia-Verma, S, McAllister, K, Manrai, A, Patel, C, Hall, Molly, 2021

Investigation of gene-gene interactions in cardiac diseases and serum fatty acid levels in LURIC cohort
PLoS One, Zhou, Jiayan, Passero, Kristin, Palmiero, Nicole E., Müller-Myhsok, Bertram, Kleber, Marcus E., Maerz, Winfried, Hall, Molly A., 2020

Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Passero, Kristin, He, Xi, Zhou, Jiayan, Mueller-Myhsok, Bertram, Kleber, Marcus E., Maerz, Winfried, Hall, Molly A., 2020

CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits
Frontiers in Genetics, Lucas, Anastasia M., Palmiero, Nicole E., McGuigan, John, Passero, Kristin, Zhou, Jiayan, Orie, Deven, Ritchie, Marylyn D., Hall, Molly A., 2019

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

Gene-gene interactions, Hall, Molly A., Cole, Brian S., Moore, Jason H., 2018

Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Manduchi, Elisabetta, Chesi, Alessandra, Hall, Molly A., Grant, Struan F.A., Moore, Jason H., 2018

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
Nature Communications, Hall, Molly A., Wallace, John, Lucas, Anastasia, Kim, Dokyoon, Basile, Anna O., Verma, Shefali S., McCarty, Cathy A., Brilliant, Murray H., Peissig, Peggy L., Kitchner, Terrie E., Verma, Anurag, Pendergrass, Sarah A., Dudek, Scott M., Moore, Jason H., Ritchie, Marylyn D., 2017

Analysis of Gene-Gene Interactions
Current Protocols in Human Genetics, Cole, Brian S., Hall, Molly A., Urbanowicz, Ryan J., Gilbert-Diamond, Diane, Moore, Jason H., 2017

The joint effect of air pollution exposure and copy number variation on risk for autism
Autism Research, Kim, Dokyoon, Volk, Heather, Girirajan, Santhosh, Pendergrass, Sarah, Hall, Molly A., Verma, Shefali S., Schmidt, Rebecca J., Hansen, Robin L., Ghosh, Debashis, Ludena-Rodriguez, Yunin, Kim, Kyoungmi, Ritchie, Marylyn D., Hertz-Picciotto, Irva, Selleck, Scott B., 2017

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals
BioData Mining, Holzinger, Emily R., Verma, Shefali S., Moore, Carrie B., Hall, Molly, De, Rishika, Gilbert-Diamond, Diane, Lanktree, Matthew B., Pankratz, Nathan, Amuzu, Antoinette, Burt, Amber, Dale, Caroline, Dudek, Scott, Furlong, Clement E., Gaunt, Tom R., Kim, Daniel Seung, Riess, Helene, Sivapalaratnam, Suthesh, Tragante, Vinicius, Van Iperen, Erik P.A., Brautbar, Ariel, Carrell, David S., Crosslin, David R., Jarvik, Gail P., Kuivaniemi, Helena, Kullo, Iftikhar J., Larson, Eric B., Rasmussen-Torvik, Laura J., Tromp, Gerard, Baumert, Jens, Cruickshanks, Karen J., Farrall, Martin, Hingorani, Aroon D., Hovingh, G. K., Kleber, Marcus E., Klein, Barbara E., Klein, Ronald, Koenig, Wolfgang, Lange, Leslie A., MOrz, Winfried, North, Kari E., Charlotte Onland-Moret, N., Reiner, Alex P., Talmud, Philippa J., Van Der Schouw, Yvonne T., Wilson, James G., Kivimaki, Mika, Kumari, Meena, Moore, Jason H., Drenos, Fotios, Asselbergs, Folkert W., Keating, Brendan J., Ritchie, Marylyn D., 2017

Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health
Annual Review of Public Health, Manrai, Arjun K., Cui, Yuxia, Bushel, Pierre R., Hall, Molly, Karakitsios, Spyros, Mattingly, Carolyn J., Ritchie, Marylyn, Schmitt, Charles, Sarigiannis, Denis A., Thomas, Duncan C., Wishart, David, Balshaw, David M., Patel, Chirag J., 2017

Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts
Human Genetics, De, Rishika, Verma, Shefali S., Holzinger, Emily, Hall, Molly, Burt, Amber, Carrell, David S., Crosslin, David R., Jarvik, Gail P., Kuivaniemi, Helena, Kullo, Iftikhar J., Lange, Leslie A., Lanktree, Matthew B., Larson, Eric B., North, Kari E., Reiner, Alex P., Tragante, Vinicius, Tromp, Gerard, Wilson, James G., Asselbergs, Folkert W., Drenos, Fotios, Moore, Jason H., Ritchie, Marylyn D., Keating, Brendan, Gilbert-Diamond, Diane, 2017

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

Embracing Complex Associations in Common Traits
Trends in Genetics, Hall, Molly A., Moore, Jason H., Ritchie, Marylyn D., 2016

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
BioData Mining, Li, Ruowang, Dudek, Scott M., Kim, Dokyoon, Hall, Molly A., Bradford, Yuki, Peissig, Peggy L., Brilliant, Murray H., Linneman, James G., McCarty, Catherine A., Bao, Le, Ritchie, Marylyn D., 2016

Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)
BioData Mining, De, Rishika, Verma, Shefali S., Drenos, Fotios, Holzinger, Emily R., Holmes, Michael V., Hall, Molly A., Crosslin, David R., Carrell, David S., Hakonarson, Hakon, Jarvik, Gail, Larson, Eric, Pacheco, Jennifer A., Rasmussen-Torvik, Laura J., Moore, Carrie B., Asselbergs, Folkert W., Moore, Jason H., Ritchie, Marylyn D., Keating, Brendan J., Gilbert-Diamond, Diane, 2015

Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network
Genetic Epidemiology, Hall, Molly A., Verma, Shefali S., Wallace, John, Lucas, Anastasia, Berg, Richard L., Connolly, John, Crawford, Dana C., Crosslin, David R., de Andrade, Mariza, Doheny, Kimberly F., Haines, Jonathan L., Harley, John B., Jarvik, Gail P., Kitchner, Terrie, Kuivaniemi, Helena, Larson, Eric B., Carrell, David S., Tromp, Gerard, Vrabec, Tamara R., Pendergrass, Sarah A., Mccarty, Catherine A., Ritchie, Marylyn D., 2015

Phenome-Wide Association Studies
Human Heredity, Pendergrass, Sarah A., Verma, Anurag, Okula, Anna, Hall, Molly A., Crawford, Dana C., Ritchie, Marylyn D., 2015

Session introduction
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Hall, Molly A., Verma, Shefali Setia, Wall, Dennis P., Moore, Jason H., Keating, Brendan, Campbell, Daniel B., Gibson, Gregory, Asselbergs, Folkert W., Pendergrass, Sarah, 2015

Erratum: Next-generation analysis of cataracts: Determining knowledge driven gene-gene interactions using biofilter, and geneenvironment interactions using the phenx toolkit (Biocomputing (2013) (147-158))
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Pendergrass, Sarah A., Verma, Shefali S., Holzinger, Emily R., Moore, Carrie B., Wallace, John, Dudek, Scott M., Huggins, Wayne, Kitchner, Terrie, Waudby, Carol, Berg, Richard, Mccarty, Catherine A., Ritchie, Marylyn D., 2015

Electronic medical records and genomics (eMERGE) network exploration in cataract
Molecular Vision, Ritchie, Marylyn D., Verma, Shefali S., Hall, Molly A., Goodloe, Robert J., Berg, Richard L., Carrell, Dave S., Carlson, Christopher S., Chen, Lin, Crosslin, David R., Denny, Joshua C., Jarvik, Gail, Li, Rongling, Linneman, James G., Pathak, Jyoti, Peissig, Peggy, Rasmussen, Luke V., Ramirez, Andrea H., Wang, Xiaoming, Wilke, Russell A., Wolf, Wendy A., Torstenson, Eric S., Turner, Stephen D., McCarty, Catherine A., 2014

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

Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project Biobank
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Hall, Molly A., Dudek, Scott M., Goodloe, Robert, Crawford, Dana C., Pendergrass, Sarah A., Peissig, Peggy, Brilliant, Murray, McCarty, Catherine A., Ritchie, Marylyn D., 2014

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