Literature DB >> 18840203

Genetic association studies in nursing practice and scholarship.

Patricia C Underwood1, Catherine Y Read.   

Abstract

PURPOSE: To explore the role of genetic association studies in risk assessment for common complex diseases. ORGANIZING FRAMEWORK: An introduction to the types of genetic association studies is followed by a discussion of their potential use in risk assessment for age-related macular degeneration and type 2 diabetes mellitus. The benefits and limitations of this burgeoning technology are explored and related to nursing practice and scholarship.
CONCLUSIONS: Nurses in practice must be prepared to assist clients with decisions about seeking and interpreting results from genetic association studies and nurse researchers must apply current guidelines for conducting robust studies and applying the results of such studies in clinical practice. CLINICAL RELEVANCE: Data collected from genetic association studies will increasingly be used to identify novel prevention and treatment strategies for many complex diseases. An understanding of the principles that underlie this new science is essential for nurses in all areas of clinical practice as they design, test, and implement appropriate intervention and prevention strategies based on genetic association studies.

Entities:  

Mesh:

Year:  2008        PMID: 18840203      PMCID: PMC2760221          DOI: 10.1111/j.1547-5069.2008.00228.x

Source DB:  PubMed          Journal:  J Nurs Scholarsh        ISSN: 1527-6546            Impact factor:   3.176


  29 in total

1.  SNPs, protein structure, and disease.

Authors:  Z Wang; J Moult
Journal:  Hum Mutat       Date:  2001-04       Impact factor: 4.878

2.  Establishing the essential nursing competencies for genetics and genomics.

Authors:  Jean Jenkins; Kathleen A Calzone
Journal:  J Nurs Scholarsh       Date:  2007       Impact factor: 3.176

3.  New models of collaboration in genome-wide association studies: the Genetic Association Information Network.

Authors:  Teri A Manolio; Laura Lyman Rodriguez; Lisa Brooks; Gonçalo Abecasis; Dennis Ballinger; Mark Daly; Peter Donnelly; Stephen V Faraone; Kelly Frazer; Stacey Gabriel; Pablo Gejman; Alan Guttmacher; Emily L Harris; Thomas Insel; John R Kelsoe; Eric Lander; Norma McCowin; Matthew D Mailman; Elizabeth Nabel; James Ostell; Elizabeth Pugh; Stephen Sherry; Patrick F Sullivan; John F Thompson; James Warram; David Wholley; Patrice M Milos; Francis S Collins
Journal:  Nat Genet       Date:  2007-09       Impact factor: 38.330

Review 4.  Mapping genes in diabetes. Genetic epidemiological perspective.

Authors:  S S Rich
Journal:  Diabetes       Date:  1990-11       Impact factor: 9.461

Review 5.  Genetic approaches to understanding the pathophysiology of complex human traits.

Authors:  G H Williams
Journal:  Kidney Int       Date:  1994-12       Impact factor: 10.612

6.  Prevalence of age-related macular degeneration in the United States.

Authors:  David S Friedman; Benita J O'Colmain; Beatriz Muñoz; Sandra C Tomany; Cathy McCarty; Paulus T V M de Jong; Barbara Nemesure; Paul Mitchell; John Kempen
Journal:  Arch Ophthalmol       Date:  2004-04

Review 7.  The future of genomic nursing research.

Authors:  Yvette P Conley; Mindy B Tinkle
Journal:  J Nurs Scholarsh       Date:  2007       Impact factor: 3.176

8.  Non-modulation as an intermediate phenotype in essential hypertension.

Authors:  G H Williams; R G Dluhy; R P Lifton; T J Moore; R Gleason; R Williams; S C Hunt; P N Hopkins; N K Hollenberg
Journal:  Hypertension       Date:  1992-12       Impact factor: 10.190

9.  Deaths: final data for 2004.

Authors:  Arialdi M Miniño; Melonie P Heron; Sherry L Murphy; Kenneth D Kochanek
Journal:  Natl Vital Stat Rep       Date:  2007-08-21

10.  Reporting of systematic reviews: the challenge of genetic association studies.

Authors:  Muin J Khoury; Julian Little; Julian Higgins; John P A Ioannidis; Marta Gwinn
Journal:  PLoS Med       Date:  2007-06       Impact factor: 11.069

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