Literature DB >> 22669417

REGENT: a risk assessment and classification algorithm for genetic and environmental factors.

Daniel J M Crouch1, Graham H M Goddard, Cathryn M Lewis.   

Abstract

The identification of environmental and genetic factors that contribute to disease risk requires appropriate statistical methods and software that can integrate different sources of risk, provide statistical assessment of combined risk factors, and facilitate interpretation of this risk. We have developed an R package, REGENT, to calculate risks conferred by genetic factors and multilevel environmental factors. This is performed at a population level, with the option to also analyse individual-level data. REGENT incorporates variability in risk factors to calculate confidence intervals for risk estimates and to classify the population into different categories of risk based on significant differences from the baseline average member of the population. REGENT is an R package available from CRAN: http://cran.r-project.org/web/packages/REGENT. It will be of value to genetic researchers exploring the utility of the variants detected for their disorder, and to clinical researchers interested in genetic risk studies.

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Year:  2012        PMID: 22669417      PMCID: PMC3522205          DOI: 10.1038/ejhg.2012.107

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  7 in total

1.  Risk categorization for complex disorders according to genotype relative risk and precision in parameter estimates.

Authors:  Graham H M Goddard; Cathryn M Lewis
Journal:  Genet Epidemiol       Date:  2010-09       Impact factor: 2.135

2.  A meta-analysis of the role of smoking in inflammatory bowel disease.

Authors:  B M Calkins
Journal:  Dig Dis Sci       Date:  1989-12       Impact factor: 3.199

Review 3.  Finding the missing heritability of complex diseases.

Authors:  Teri A Manolio; Francis S Collins; Nancy J Cox; David B Goldstein; Lucia A Hindorff; David J Hunter; Mark I McCarthy; Erin M Ramos; Lon R Cardon; Aravinda Chakravarti; Judy H Cho; Alan E Guttmacher; Augustine Kong; Leonid Kruglyak; Elaine Mardis; Charles N Rotimi; Montgomery Slatkin; David Valle; Alice S Whittemore; Michael Boehnke; Andrew G Clark; Evan E Eichler; Greg Gibson; Jonathan L Haines; Trudy F C Mackay; Steven A McCarroll; Peter M Visscher
Journal:  Nature       Date:  2009-10-08       Impact factor: 49.962

4.  Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci.

Authors:  Andre Franke; Dermot P B McGovern; Jeffrey C Barrett; Kai Wang; Graham L Radford-Smith; Tariq Ahmad; Charlie W Lees; Tobias Balschun; James Lee; Rebecca Roberts; Carl A Anderson; Joshua C Bis; Suzanne Bumpstead; David Ellinghaus; Eleonora M Festen; Michel Georges; Todd Green; Talin Haritunians; Luke Jostins; Anna Latiano; Christopher G Mathew; Grant W Montgomery; Natalie J Prescott; Soumya Raychaudhuri; Jerome I Rotter; Philip Schumm; Yashoda Sharma; Lisa A Simms; Kent D Taylor; David Whiteman; Cisca Wijmenga; Robert N Baldassano; Murray Barclay; Theodore M Bayless; Stephan Brand; Carsten Büning; Albert Cohen; Jean-Frederick Colombel; Mario Cottone; Laura Stronati; Ted Denson; Martine De Vos; Renata D'Inca; Marla Dubinsky; Cathryn Edwards; Tim Florin; Denis Franchimont; Richard Gearry; Jürgen Glas; Andre Van Gossum; Stephen L Guthery; Jonas Halfvarson; Hein W Verspaget; Jean-Pierre Hugot; Amir Karban; Debby Laukens; Ian Lawrance; Marc Lemann; Arie Levine; Cecile Libioulle; Edouard Louis; Craig Mowat; William Newman; Julián Panés; Anne Phillips; Deborah D Proctor; Miguel Regueiro; Richard Russell; Paul Rutgeerts; Jeremy Sanderson; Miquel Sans; Frank Seibold; A Hillary Steinhart; Pieter C F Stokkers; Leif Torkvist; Gerd Kullak-Ublick; David Wilson; Thomas Walters; Stephan R Targan; Steven R Brant; John D Rioux; Mauro D'Amato; Rinse K Weersma; Subra Kugathasan; Anne M Griffiths; John C Mansfield; Severine Vermeire; Richard H Duerr; Mark S Silverberg; Jack Satsangi; Stefan Schreiber; Judy H Cho; Vito Annese; Hakon Hakonarson; Mark J Daly; Miles Parkes
Journal:  Nat Genet       Date:  2010-12       Impact factor: 38.330

5.  A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity.

Authors:  Timothy M Frayling; Nicholas J Timpson; Michael N Weedon; Eleftheria Zeggini; Rachel M Freathy; Cecilia M Lindgren; John R B Perry; Katherine S Elliott; Hana Lango; Nigel W Rayner; Beverley Shields; Lorna W Harries; Jeffrey C Barrett; Sian Ellard; Christopher J Groves; Bridget Knight; Ann-Marie Patch; Andrew R Ness; Shah Ebrahim; Debbie A Lawlor; Susan M Ring; Yoav Ben-Shlomo; Marjo-Riitta Jarvelin; Ulla Sovio; Amanda J Bennett; David Melzer; Luigi Ferrucci; Ruth J F Loos; Inês Barroso; Nicholas J Wareham; Fredrik Karpe; Katharine R Owen; Lon R Cardon; Mark Walker; Graham A Hitman; Colin N A Palmer; Alex S F Doney; Andrew D Morris; George Davey Smith; Andrew T Hattersley; Mark I McCarthy
Journal:  Science       Date:  2007-04-12       Impact factor: 47.728

6.  Underestimated effect sizes in GWAS: fundamental limitations of single SNP analysis for dichotomous phenotypes.

Authors:  Sven Stringer; Naomi R Wray; René S Kahn; Eske M Derks
Journal:  PLoS One       Date:  2011-11-28       Impact factor: 3.240

7.  Estimating risks of common complex diseases across genetic and environmental factors: the example of Crohn disease.

Authors:  C M Lewis; S C L Whitwell; A Forbes; J Sanderson; C G Mathew; T M Marteau
Journal:  J Med Genet       Date:  2007-07-27       Impact factor: 6.318

  7 in total
  6 in total

1.  Genetic risk models: Influence of model size on risk estimates and precision.

Authors:  Ying Shan; Gerard Tromp; Helena Kuivaniemi; Diane T Smelser; Shefali S Verma; Marylyn D Ritchie; James R Elmore; David J Carey; Yvette P Conley; Michael B Gorin; Daniel E Weeks
Journal:  Genet Epidemiol       Date:  2017-02-15       Impact factor: 2.135

2.  Do Genetic Susceptibility Variants Associate with Disease Severity in Early Active Rheumatoid Arthritis?

Authors:  Ian C Scott; Frühling Rijsdijk; Jemma Walker; Jelmar Quist; Sarah L Spain; Rachael Tan; Sophia Steer; Yukinori Okada; Soumya Raychaudhuri; Andrew P Cope; Cathryn M Lewis
Journal:  J Rheumatol       Date:  2015-05-15       Impact factor: 4.666

3.  The refinement of genetic predictors of multiple sclerosis.

Authors:  Giulio Disanto; Ruth Dobson; Julia Pakpoor; Ramyiadarsini I Elangovan; Rocco Adiutori; Jens Kuhle; Gavin Giovannoni
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

4.  Predicting the risk of rheumatoid arthritis and its age of onset through modelling genetic risk variants with smoking.

Authors:  Ian C Scott; Seth D Seegobin; Sophia Steer; Rachael Tan; Paola Forabosco; Anne Hinks; Stephen Eyre; Ann W Morgan; Anthony G Wilson; Lynne J Hocking; Paul Wordsworth; Anne Barton; Jane Worthington; Andrew P Cope; Cathryn M Lewis
Journal:  PLoS Genet       Date:  2013-09-19       Impact factor: 5.917

Review 5.  Genetic-based prediction of disease traits: prediction is very difficult, especially about the future.

Authors:  Steven J Schrodi; Shubhabrata Mukherjee; Ying Shan; Gerard Tromp; John J Sninsky; Amy P Callear; Tonia C Carter; Zhan Ye; Jonathan L Haines; Murray H Brilliant; Paul K Crane; Diane T Smelser; Robert C Elston; Daniel E Weeks
Journal:  Front Genet       Date:  2014-06-02       Impact factor: 4.599

6.  Population-Wide Genetic Risk Prediction of Complex Diseases: A Pilot Feasibility Study in Macau Population for Precision Public Healthcare Planning.

Authors:  Nancy B Y Tsui; Gregory Cheng; Teresa Chung; Christopher W K Lam; Anita Yee; Peter K C Chung; Tsz-Ki Kwan; Elaine Ko; Daihai He; Wing-Tak Wong; Johnson Y N Lau; Lok Ting Lau; Manson Fok
Journal:  Sci Rep       Date:  2018-01-30       Impact factor: 4.379

  6 in total

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