Research Archives - Fabric Genomics

Research

Genome Sequencing is Critical for Forecasting Outcomes following Congenital Cardiac Surgery

W. Scott Watkins, E. Javier Hernandez, Thomas A. Miller, Nathan R. Blue, Raquel Zimmerman, Eric R. Griffiths, Erwin Frise, Daniel Bernstein, Marko T. Boskovski, Martina Brueckner, Wendy K. Chung, J. William Gaynor, Bruce D. Gelb, Elizabeth Goldmuntz, Peter J. Gruber, Jane W. Newburger, Amy E. Roberts, Sarah U. Morton, John E. Mayer Jr, Christine E. Seidman, Jonathan G. Seidman, Yufeng Shen, Michael Wagner, H. Joseph Yost, Mark Yandell, Martin Tristani-Firouzi

Fabric synopsis:

Fabric GEM is used to explore the predictive value of genome sequencing in forecasting clinical outcomes following surgery for congenital heart defects (CHD).

medRxiv
Pubmed Abstract

Research

Pharmacogenomics of 17-alpha hydroxyprogesterone caproate for recurrent preterm birth: a case–control study

TA Manuck, WS Watkins, MS Esplin, J Biggio, R Bukowski, S Parry, H Zhan, H Huang, W Andrews, G Saade, Y Sadovsky, UM Reddy, J Ilekis, M Yandell, MW Varner, LB Jorde, and for the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Genomics and Proteomics Network for Preterm Birth Research (GPN-PBR)

Fabric synopsis:

Read how Fabric Genomics' (formerly Omicia) VAAST algorithm was used to determine genetic differences in women with recurrent preterm birth despite 17-P treatment.

BJOG 2017; DOI: 10.1111/1471-0528.14485.
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Research

Pharmacogenomics of 17-alpha hydroxyprogesterone caproate for recurrent preterm birth prevention

Tracy A. Manuck, W. Scott Watkins, Barry Moore, M. Sean Esplin, Michael W. Varner, G. Marc Jackson, Mark Yandell, Lynn Jorde

Am J Obstet Gynecol. 2014 Apr;210(4):321.e1-321.e21. doi: 10.1016/j.ajog.2014.01.013.
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Research

Genomic diversity and evolution of the head crest in the rock pigeon.

Michael D. Shapiro, Zev Kronenberg, Cai Li, Eric T. Domyan, Hailin Pan, Michael Campbell, Hao Tan, Chad D. Huff, Haofu Hu, Anna I. Vickrey, Sandra C. A. Nielsen, Sydney A. Stringham, Hao Hu, Eske Willerslev, M. Thomas P. Gilbert, Mark Yandell, Guojie Zhang, Jun Wang

Science. 2013 Mar 1;339(6123):1063-7. doi: 10.1126/science.1230422.
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Research

Population genetic inference from personal genome data: impact of ancestry and admixture on human genomic variation

Jeffrey M. Kidd, Simon Grave, Jake Byrnes, Andres Moreno-Estrada, Shaila Musharoff, Katarzyna Bryc, Jeremiah D. Degenhardt, Abra Brisbin, Vrunda Sheth, Rong Chen, Stephen F. McLaughlin, Heather E. Peckham, Larsson Omberg, Christina A. Bormann Chung, Sarah Stanley, Kevin Pearlstein, Elizabeth Levandowsky, Suehelay Acevedo-Acevedo, Adam Auton, Alon Keinan, Victor Acuña-Alonzo, Rodrigo Barquera-Lozano, Samuel Canizales-Quinteros, Celeste Eng, Esteban G. Burchard, Archie Russell, Andy Reynolds, Andrew G. Clark, Martin G. Reese, Stephen E. Lincoln, Atul J. Butte, Francisco M. De La Vega, Carlos D. Bustamante

Am J Hum Genet. 2012 Oct 5;91(4):660-71. doi: 10.1016/j.ajhg.2012.08.025.
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Research

Genome-wide analysis of human disease alleles reveals locations correlated in paralogous proteins

Mark Yandell, Barry Moore, Fidel Salas, Chris Mungall, Andrew MacBride, Charles White, Martin G. Reese

PLoS Comput Biol. 2008 Nov;4(11):e1000218. doi: 10.1371/journal.pcbi.1000218.
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Research

EGASP: the human ENCODE Genome Annotation Assessment Project

Roderic Guigó, Paul Flicek, Josep F. Abril1, Alexandre Reymond, Julien Lagarde, France Denoeud, Stylianos Antonarakis, Michael Ashburner, Vladimir B. Bajic, Ewan Birney, Robert Castelo, Eduardo Eyras, Catherine Ucla, Thomas R. Gingeras, Jennifer Harrow, Tim Hubbard, Suzanna E. Lewis, Martin G. Reese

Genome Biol. 2006;7 Suppl 1:S2.1-31.
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