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.

Graduate Students

Huck Affiliations

Links

Publication Tags

Genes Single Nucleotide Polymorphism Genomics Lipids Nucleotides Polymorphism Electronic Health Records Genome Wide Association Study Gene Cholesterol Phenotype Testing Cataract Electronics (1,2 Diamino 4 Nitrobenzene)Dichloroplatinum(Ii) Interaction Glaucoma Genome Datasets Triglycerides Body Mass Index Multifactor Dimensionality Reduction Epistasis Software Replication

Most Recent Papers

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

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, Marylyn 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

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: Critical Considerations for Precision Medicine

Molly Hall, Jason Moore, Marylyn Ritchie, 2016, TRENDS IN GENETICS on p. 470-484

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

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

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

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

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

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

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

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

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

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, 2015, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing on p. 495-505

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