Associations of Circulating Very-Long-Chain Saturated Fatty Acids and Incident Type 2 Diabetes: A Pooled Analysis of Prospective Cohort Studies, Amanda M. Fretts, Fumiaki Imamura, Matti Marklund, Renata Micha, Jason H. Y. Wu, Rachel A. Murphy, Kuo-Liong Chien, Barbara McKnight, Nathan L. Tintle, Nita G. Forouhi, Waqas T. Qureshi, Jyrki K. Virtanen, Kerry Wong, Alexis C. Wood, Maria Lankinen, Kalina Rajaobelina, Tamara B. Harris, Luc Djousse, Bill Harris, Nick J. Wareham, Lyn M. Steffen, Markku Laakso, Jenna Veenstra, Cecilia Samieri, Ingeborg A. Brouwer, Chaoyu Ian Yu, Albert Koulman, Brian T. Steffen, Catherine Helmer, Nona Sotoodehnia, David Siscovick, Vilmunder Gudnason, InterAct Consortium, Lynne Wagenknecht, Sari Voutilainen, Michael Y. Tsai, Matti Uusitupa, Anya Kalsbeek, Claudine Berr, Dariush Mozaffarian, Rozenn N. Lemaitre
Faculty Work Comprehensive List

Leveraging Summary Statistics to Make Inferences about Complex Phenotypes in Large Biobanks, Angela Gasdaska, Derek Friend, Rachel Chen, Jason Westra, Matthew Zawistowski, William Lindsey, Nathan L. Tintle
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Implementing and Evaluating a Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data, Kevin Li, Rachel Chen, William Lindsey, Aaron Best, Matthew DeJongh, Christopher Henry, Nathan L. Tintle
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Evaluating the Performance of Gene-Based Tests of Genetic Association when Testing for Association Between Methylation and Change in Triglyceride Levels at GAW20, Jason Vander Woude, Jordan Huisman, Lucas Vander Berg, Jenna Veenstra, Abbey Bos, Anya Kalsbeek, Karissa Koster, Nathan Ryder, Nathan L. Tintle
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Epigenome Wide Association Study of SNP–CpG Interactions on Changes in Triglyceride Levels after Pharmaceutical Intervention: A GAW20 Analysis, Jenna Veenstra, Anya Kalsbeek, Karissa Koster, Nathan Ryder, Abbey Bos, Jordan Huisman, Lucas Vander Berg, Jason Vander Woude, Nathan L. Tintle
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Application of Novel and Existing Methods to Identify Genes with Evidence of Epigenetic Association: Results from GAW20, Angga M. Fuady, Samantha Lent, Chloé Sarnowski, Nathan L. Tintle
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A Genome-Wide Association Study of Red-Blood Cell Fatty Acids and Ratios Incorporating Dietary Covariates: Framingham Heart Study Offspring Cohort, Anya Kalsbeek, Jenna Veenstra, Jason Westra, Craig Disselkoen, Kristin Koch, Katelyn A. McKenzie, Jacob O'Bott, Jason Vander Woude, Karen Fischer, Greg C. Shearer, William S. Harris, Nathan L. Tintle
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Analyzing Metabolomics Data for Association with Genotypes Using Two-Component Gaussian Mixture Distributions, Jason Westra, Nicholas Hartman, Bethany Lake, Gregory Shearer, Nathan L. Tintle
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Improvements to Bayesian Gene Activity State Estimation from Genome-Wide Transcriptomics Data, Craig Disselkoen, Nathan Hekman, Brian Gilbert, Sydney Benson, Matthew Anderson, Matthew DeJongh, Aaron Best, Nathan L. Tintle
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Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association, Kelsey E. Grinde, Jaron Arbet, Alden Green, Michael O'Connell, Alessandra Valcarcel, Jason Westra, Nathan L. Tintle
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BIO 324: Advanced Genetics, Tony N. Jelsma, Robert DeHaan
Spring 2017

Improved Performance of Gene Set Analysis on Genome-Wide Transcriptomics Data When Using Gene Activity State Estimates, Thomas Kamp, Micah Adams, Craig Disselkoen, Nathan L. Tintle
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Powerful Method for Including Genotype Uncertainty in Tests of Hardy-Weinberg Equilibrium, Andrew Beck, Alexander Luedtke, Keli Liu, Nathan L. Tintle
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A Multistep Approach to Single Nucleotide Polymorphism–Set Analysis: An Evaluation of Power and Type I Error of Gene-Based Tests of Association after Pathway-Based Association Tests, Alessandra Valcarcel, Kelsey Griinde, Kaitlyn Cook, Alden Green, Nathan L. Tintle
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Perseverance: Psychospiritual and Genetic Perspectives, Tony N. Jelsma, Arielle Johnston, Bruce Vermeer
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General Approach for Combining Diverse Rare Variant Association Tests Provides Improved Robustness Across a Wider Range of Genetic Architectures, Brian Greco, Allison Hainline, Jaron Arbet, Kelsey Grinde, Alejandra Benitez, Nathan L. Tintle
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Machine Learning and Data Mining in Complex Genomic Data - A Review on the Lessons Learned in Genetic Analysis Workshop 19, Inke R. Konig, Jonathan Auerbach, Damian Gola, Elizabeth Held, Emily R. Holzinger, Marc-Andre Legault, Rui Sun, Nathan L. Tintle, Hsin-Chou Yang
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Playing God, Jeff Ploegstra
Faculty Work Comprehensive List

Cautions About the Reliability of Pairwise Gene Correlations Based on Expression Data, Scott Powers, Matthew De Jongh, Aaron Best, Nathan L. Tintle
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Novel Approach to Identify Optimal Metabotypes of Elongase and Desaturase Activities in Prevention of Acute Coronary Syndrome, Nathan L. Tintle, John W. Newman, Gregory C. Shearer
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Genome-wide Association Study of Saturated, Mono- and Polyunsaturated Red Blood Cell Fatty Acids in the Framingham Heart Offspring Study, Nathan L. Tintle, James V. Pottala, Sean Lacey, Vasan Ramachandran, Jason Westra, Ally Rogers, Jake Clark, Ben Olthoff, Martin Larson, William Harris, Gregory C. Shearer
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General Approaches for Combining Multiple Rare Variant Associate Tests Provide Improved Power Across a Wider Range of Genetic Architecture, Nathan L. Tintle, Brian Greco, Allison Hainline, Keli Liu, Jaron Arbet, Alejandra Benitez, Kelsey Grinde
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Application of Family-based Tests of Association for Rare Variants to Pathways, Brian Greco, Alexander Luedtke, Allison Hainline, Carolina Alvarez, Andrew Beck, Nathan L. Tintle
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Evaluating the Concordance Between Sequencing, Imputation and Microarray Genotype Calls in the GAW18 Data, Ally Rogers, Andrew Beck, Nathan L. Tintle
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Evaluation of the Power and Type 1 Error of Recently Proposed Family-based Tests of Assocations for Rare Variants, Allison Hainline, Carolina Alvarez, Alexander Luedtke, Brian Greco, Andrew Beck, Nathan L. Tintle
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Genetic Analysis Workshop 18: Methods and Strategies for Analyzing Human Sequence and Phenotype Data in Members of Extended Pedigrees, Heike Bickeboller, Julia N. Bailey, Joseph Beyene, Rita M. Cantor, Heather J. Cordell, Robert C. Culverhouse, Corinne D. Engelman, David W. Fardo, Saurabh Ghosh, Inke R. Konig, Justo Lorenzo Bermejo, Phillip E. Melton, Stephanie A. Santorico, Glen A. Satten, Lei Sun, Nathan L. Tintle, Andreas Ziegler, Jean W. MacCluer, Laura Almasy
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Evaluating the Impact of Genotype Errors on Rare Variant Tests of Association, Kaitlyn Cook, Alejandra Benitez, Casey Fu, Nathan L. Tintle
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BIO 213: Genetics, Robbin Eppinga
Spring 2014

BIO 214: Genetics with Laboratory, Robbin Eppinga
Spring 2014

Pathway Analysis Approaches for Rare and Common Variants: Insights From Genetic Analysis Workshop 18, Stella Aslibekyan, Marcio Almeida, Nathan L. Tintle
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Value of Mendelian Laws of Segregation in Families: Data Quality Control, Imputation, and Beyond, Elizabeth M. Blue, Lei Sun, Nathan L. Tintle, Ellen M. Wijsman
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Optimal Methods for Using Posterior Probabilities in Association Testing, Keli Liu, Alexander Luedtke, Nathan L. Tintle
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Geometric Framework for Evaluating Rare Variant Tests of Association, Keli Liu, Shannon Fast, Matthew Zawistowski, Nathan L. Tintle
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Assessing Methods for Assigning SNPs to Genes in Gene-Based Tests of Association Using Common Variants, Ashley Petersen, Carolina Alvarez, Scott DeClaire, Nathan L. Tintle
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Assessing the Impact of Differential Genotyping Errors on Rare Variant Tests of Association, Morgan Mayer-Jochimsen, Shannon Fast, Nathan L. Tintle
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Incorporating Prior Knowledge to Increase the Power of Genome-Wide Association Studies, Ashley Petersen, Justin Spratt, Nathan L. Tintle
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Assessing the Impact of Non-Differential Genotyping Errors on Rare Variant Tests of Association, Scott Powers, Shyam Gopalakrishnan, Nathan L. Tintle
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Identifying Rare Variants from Exome Scans: The GAW17 Experience, Saurabh Ghosh, Heike Bickeboller, Julia Bailey, Joan E. Bailey-Wilson, Rita Cantor, Robert Culverhouse, Warwick Daw, Anita L. DeStefano, Corinne D. Engelman, Anthony Hinrichs, Jeanine Houwing-Duistermaat, Inke R. Konig, Jack Kent, Nan Laird, Nathan Pankratz, Andrew Paterson, Elizabeth Pugh, Brian Suarez, Yan Sun, Alun Thomas, Nathan L. Tintle, Xiaofeng Zhu, Andreas Ziegler, Jean W. MacCluer, Laura Almasy
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Evaluating Methods for Combining Rare Variant Data in Pathway-based Tests of Genetic Association, Ashley Petersen, Alexandra Sitarik, Alexander Luedtke, Scott Powers, Airat Bekmetjev, Nathan L. Tintle
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Identification of Genetic Association of Multiple Rare Variants Using Collapsing Methods, Yan V. Sun, Yun Ju Sung, Nathan L. Tintle, Andreas Ziegler
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Evaluating Methods for the Analysis of Rare Variants in Sequence Data, Alexander Luedtke, Scott Powers, Ashley Petersen, Alexandra Sitarik, Airat Bekmetjev, Nathan L. Tintle
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Inflated Type I Error Rates When Using Aggregation Methods to Analyze Rare Variants in the 1000 Genomes Project Exon Sequencing Data in Unrelated Individuals: Summary Results from Group 7 at Genetic Analysis Workshop 17, Nathan L. Tintle, Hugues Aschard, Inchi Hu, Nora Nock, Haitian Wang, Elizabeth Pugh
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BIO 213: Genetics, Robert De Haan
Spring 2009

BIO 214: Genetics with Laboratory, Steph Helmus, Robert DeHaan
Spring 2009

BIO 213 / BIO 214: Genetics, Robert DeHaan
Spring 2006

BIO 213: Genetics, Robert DeHaan
Spring 2005

BIO 214: Genetics with Laboratory, Robert DeHaan
Spring 2005

BIO 213: Genetics, Robb De Haan
Spring 2004

BIO 213: Genetics, Robert De Haan
Spring 2000

BIO 213: Genetics, Robert DeHaan
Spring 1998

BIO 213: Genetics, Robert DeHaan
Spring 1996

BIO 213: Genetics, Delmar Vander Zee
Spring 1995

BIO 213: Genetics, Delmar Vander Zee
Spring 1994

BIO 213: Genetics, Delmar Vander Zee
Fall 1983