Literature DB >> 12517201

Minimizing risks: the ethics of predictive diabetes mellitus screening research in newborns.

Lainie Friedman Ross1.   

Abstract

Type 1 diabetes mellitus is the most common metabolic disease of childhood. Two states offer newborn screening to identify children with a genetic predisposition to it. It is a voluntary test offered in conjunction with the mandatory newborn metabolic screening. There are no preventive treatments, but children discovered to be at increased risk may participate in follow-up studies to determine whether and when the child develops autoantibodies (preclinical disease) or overt diabetes. This study examined the ethics of predictive genetic research in newborns for type 1 diabetes. Prediction research has serious psychosocial implications, and research designs must account for them. The study concluded that, to minimize harm to infants and their families, (1) if the research does not incorporate a prevention strategy, studies should avoid disclosure of results; and (2) if disclosure is necessary, then the research should be restricted to newborns with an affected first-degree relative.

Entities:  

Keywords:  Biomedical and Behavioral Research; Genetics and Reproduction

Mesh:

Year:  2003        PMID: 12517201     DOI: 10.1001/archpedi.157.1.89

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  12 in total

1.  Screening for lysosomal storage disorders--a clinical perspective.

Authors:  Janice M Fletcher
Journal:  J Inherit Metab Dis       Date:  2006 Apr-Jun       Impact factor: 4.982

2.  Public attitudes towards genomic risk profiling as a component of routine population screening.

Authors:  S G Nicholls; B J Wilson; S M Craigie; H Etchegary; D Castle; J C Carroll; B K Potter; L Lemyre; J Little
Journal:  Genome       Date:  2013-08-31       Impact factor: 2.166

3.  Newborn screening: complexities in universal genetic testing.

Authors:  Nancy S Green; Siobhan M Dolan; Thomas H Murray
Journal:  Am J Public Health       Date:  2006-03-29       Impact factor: 9.308

Review 4.  Psychological impact of screening and prediction in type 1 diabetes.

Authors:  Suzanne Bennett Johnson
Journal:  Curr Diab Rep       Date:  2011-10       Impact factor: 4.810

5.  Maternal anxiety about a child's diabetes risk in the TEDDY study: the potential role of life stress, postpartum depression, and risk perception.

Authors:  Roswith Roth; Kristian Lynch; Barbro Lernmark; Judy Baxter; Tuula Simell; Laura Smith; Ulrica Swartling; Anette-G Ziegler; Suzanne B Johnson
Journal:  Pediatr Diabetes       Date:  2014-08-01       Impact factor: 4.866

6.  The ethics of type 1 diabetes prediction and prevention research.

Authors:  Lainie Friedman Ross
Journal:  Theor Med Bioeth       Date:  2003

7.  Genetic testing of newborns for type 1 diabetes susceptibility: a prospective cohort study on effects on maternal mental health.

Authors:  Kaja K Aas; Kristian Tambs; Marit S Kise; Per Magnus; Kjersti S Rønningen
Journal:  BMC Med Genet       Date:  2010-07-15       Impact factor: 2.103

8.  Diabetic subjects diagnosed through the Diabetes Prevention Trial-Type 1 (DPT-1) are often asymptomatic with normal A1C at diabetes onset.

Authors:  Taylor M Triolo; H Peter Chase; Jennifer M Barker
Journal:  Diabetes Care       Date:  2009-05       Impact factor: 17.152

9.  From genetic risk awareness to overt type 1 diabetes: parental stress in a placebo-controlled prevention trial.

Authors:  Eszter Goldstein; Robert Hermann; Timo J Renfors; Kirsti M Näntö-Salonen; Tapio Korhonen; Maarit Kärkkäinen; Riitta K Veijola; Mikael Knip; Tuula T Simell; Olli G Simell
Journal:  Diabetes Care       Date:  2009-09-14       Impact factor: 19.112

10.  Parental Estimation of Their Child's Increased Type 1 Diabetes Risk During the First 2 Years of Participation in an International Observational Study: Results From the TEDDY study.

Authors:  Ulrica Swartling; Kristian Lynch; Laura Smith; Suzanne Bennett Johnson
Journal:  J Empir Res Hum Res Ethics       Date:  2016-05-30       Impact factor: 1.978

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