Molly Hall

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 Nucleotides Polymorphism Lipids Genome Wide Association Study Medicine Bayesian Networks Interaction Evolutionary Algorithms Electronic Health Records Genome Testing Cholesterol Gene Electronics (1,2 Diamino 4 Nitrobenzene)Dichloroplatinum(Ii) Glaucoma Cataract Medical Problems Gene Environment Interaction Body Mass Index Datasets Type 2 Diabetes Mellitus

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

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

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

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie, 2016, BioData Mining

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

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

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

Most-Cited Papers

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

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

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie, 2016, 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

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

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