Literature DB >> 17465713

Identifying the genotype behind the phenotype: a role model found in VKORC1 and its association with warfarin dosing.

Dana C Crawford1, Marylyn D Ritchie, Mark J Rieder.   

Abstract

Genotype-phenotype studies in pharmacogenomics promise to identify the genetic factors that contribute substantially to variation in individual drug response. While most genetic association studies have failed to deliver this promise, several recent examples serve as a reminder that these associations do exist and can be identified when investigated using well-designed studies. Here, we describe the path taken to identify the association between common vitamin K epoxide reductase complex subunit 1 genetic variation and warfarin dosing in patients. We also describe the key elements that led the way, such as definition of the phenotype, confirmation of a genetic component, determination of biological plausibility and selection of genetic polymorphisms. We also describe several avenues that are yet to be explored for the specific vitamin K epoxide reductase complex subunit 1 warfarin example that can also be generalized as future directions for many genetic association studies in pharmacogenomics. These future avenues will be best explored using diverse approaches encompassing clinical, statistical and genomic methods currently being developed for genotype-phenotype studies in human populations.

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Year:  2007        PMID: 17465713      PMCID: PMC3112050          DOI: 10.2217/14622416.8.5.487

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  83 in total

1.  A haplotype map of the human genome.

Authors: 
Journal:  Nature       Date:  2005-10-27       Impact factor: 49.962

2.  A coding VKORC1 Asp36Tyr polymorphism predisposes to warfarin resistance.

Authors:  Ronen Loebstein; Ilana Dvoskin; Hillel Halkin; Manuela Vecsler; Aharon Lubetsky; Gideon Rechavi; Ninette Amariglio; Yoram Cohen; Gie Ken-Dror; Shlomo Almog; Eva Gak
Journal:  Blood       Date:  2006-11-16       Impact factor: 22.113

Review 3.  Detection of gene x gene interactions in genome-wide association studies of human population data.

Authors:  Solomon K Musani; Daniel Shriner; Nianjun Liu; Rui Feng; Christopher S Coffey; Nengjun Yi; Hemant K Tiwari; David B Allison
Journal:  Hum Hered       Date:  2007-02-02       Impact factor: 0.444

4.  VKORC1 haplotypes and their impact on the inter-individual and inter-ethnical variability of oral anticoagulation.

Authors:  Christof Geisen; Matthias Watzka; Katja Sittinger; Michael Steffens; Laurynas Daugela; Erhard Seifried; Clemens R Müller; Thomas F Wienker; Johannes Oldenburg
Journal:  Thromb Haemost       Date:  2005-10       Impact factor: 5.249

5.  Different contributions of polymorphisms in VKORC1 and CYP2C9 to intra- and inter-population differences in maintenance dose of warfarin in Japanese, Caucasians and African-Americans.

Authors:  Harumi Takahashi; Grant R Wilkinson; Edith A Nutescu; Takashi Morita; Marylyn D Ritchie; Maria G Scordo; Vittorio Pengo; Martina Barban; Roberto Padrini; Ichiro Ieiri; Kenji Otsubo; Toshitaka Kashima; Sosuke Kimura; Shinichi Kijima; Hirotoshi Echizen
Journal:  Pharmacogenet Genomics       Date:  2006-02       Impact factor: 2.089

6.  Identification of the gene for vitamin K epoxide reductase.

Authors:  Tao Li; Chun-Yun Chang; Da-Yun Jin; Pen-Jen Lin; Anastasia Khvorova; Darrel W Stafford
Journal:  Nature       Date:  2004-02-05       Impact factor: 49.962

7.  Combined genetic profiles of components and regulators of the vitamin K-dependent gamma-carboxylation system affect individual sensitivity to warfarin.

Authors:  Manuela Vecsler; Ronen Loebstein; Shlomo Almog; Daniel Kurnik; Boleslav Goldman; Hillel Halkin; Eva Gak
Journal:  Thromb Haemost       Date:  2006-02       Impact factor: 5.249

8.  Interethnic variability of warfarin maintenance requirement is explained by VKORC1 genotype in an Asian population.

Authors:  Soo-Chin Lee; Swee-Siang Ng; Johannes Oldenburg; Pei-Yi Chong; Simone Rost; Jia-Yi Guo; Hui-Ling Yap; Sheila Clare Rankin; Hui-Boon Khor; Tiong-Cheng Yeo; Kheng-Siang Ng; Richie Soong; Boon-Cher Goh
Journal:  Clin Pharmacol Ther       Date:  2006-03       Impact factor: 6.875

9.  GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease.

Authors:  Alison A Motsinger; Stephen L Lee; George Mellick; Marylyn D Ritchie
Journal:  BMC Bioinformatics       Date:  2006-01-25       Impact factor: 3.169

10.  Association of warfarin dose with genes involved in its action and metabolism.

Authors:  Mia Wadelius; Leslie Y Chen; Niclas Eriksson; Suzannah Bumpstead; Jilur Ghori; Claes Wadelius; David Bentley; Ralph McGinnis; Panos Deloukas
Journal:  Hum Genet       Date:  2006-10-18       Impact factor: 4.132

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  10 in total

1.  Practical Consideration of Genotype Imputation: Sample Size, Window Size, Reference Choice, and Untyped Rate.

Authors:  Boshao Zhang; Degui Zhi; Kui Zhang; Guimin Gao; Nita N Limdi; Nianjun Liu
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

2.  Assessment of a pharmacogenomic marker panel in a polypharmacy population identified from electronic medical records.

Authors:  Matthew T Oetjens; Joshua C Denny; Marylyn D Ritchie; Niloufar B Gillani; Danielle M Richardson; Nicole A Restrepo; Jill M Pulley; Holli H Dilks; Melissa A Basford; Erica Bowton; Dan R Masys; Russell A Wilke; Dan M Roden; Dana C Crawford
Journal:  Pharmacogenomics       Date:  2013-05       Impact factor: 2.533

3.  Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.

Authors:  Hua Xu; Min Jiang; Matt Oetjens; Erica A Bowton; Andrea H Ramirez; Janina M Jeff; Melissa A Basford; Jill M Pulley; James D Cowan; Xiaoming Wang; Marylyn D Ritchie; Daniel R Masys; Dan M Roden; Dana C Crawford; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2011 Jul-Aug       Impact factor: 4.497

4.  CYP2C9*8 is prevalent among African-Americans: implications for pharmacogenetic dosing.

Authors:  Stuart A Scott; Malgorzata Jaremko; Steven A Lubitz; Ruth Kornreich; Jonathan L Halperin; Robert J Desnick
Journal:  Pharmacogenomics       Date:  2009-08       Impact factor: 2.533

Review 5.  Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines.

Authors:  William S Bush; Jessica N Cooke Bailey; Mark F Beno; Dana C Crawford
Journal:  Public Health Genomics       Date:  2019-08-27       Impact factor: 2.000

6.  Measures of exposure impact genetic association studies: an example in vitamin K levels and VKORC1.

Authors:  Dana C Crawford; Kristin Brown-Gentry; Mark J Rieder
Journal:  Pac Symp Biocomput       Date:  2015

7.  A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose.

Authors:  Gregory M Cooper; Julie A Johnson; Taimour Y Langaee; Hua Feng; Ian B Stanaway; Ute I Schwarz; Marylyn D Ritchie; C Michael Stein; Dan M Roden; Joshua D Smith; David L Veenstra; Allan E Rettie; Mark J Rieder
Journal:  Blood       Date:  2008-06-05       Impact factor: 22.113

8.  CYP4F2 genetic variant alters required warfarin dose.

Authors:  Michael D Caldwell; Tarif Awad; Julie A Johnson; Brian F Gage; Mat Falkowski; Paul Gardina; Jason Hubbard; Yaron Turpaz; Taimour Y Langaee; Charles Eby; Cristi R King; Amy Brower; John R Schmelzer; Ingrid Glurich; Humberto J Vidaillet; Steven H Yale; Kai Qi Zhang; Richard L Berg; James K Burmester
Journal:  Blood       Date:  2008-02-04       Impact factor: 22.113

9.  VKORC1 common variation and bone mineral density in the Third National Health and Nutrition Examination Survey.

Authors:  Dana C Crawford; Kristin Brown-Gentry; Mark J Rieder
Journal:  PLoS One       Date:  2010-12-13       Impact factor: 3.240

Review 10.  DMET™ (Drug Metabolism Enzymes and Transporters): a pharmacogenomic platform for precision medicine.

Authors:  Mariamena Arbitrio; Maria Teresa Di Martino; Francesca Scionti; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro; Pierfrancesco Tassone; Pierosandro Tagliaferri
Journal:  Oncotarget       Date:  2016-08-16
  10 in total

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