Literature DB >> 16831969

At risk for Huntington disease: The PHAROS (Prospective Huntington At Risk Observational Study) cohort enrolled.

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Abstract

OBJECTIVE: To identify the emerging clinical precursors that indicate the early onset of Huntington disease (HD) in a reliable and gene-specific manner. This information is critical for the development of therapeutic trials aimed at postponing clinical onset in HD gene carriers.
METHODS: Between July 1999 and January 2004, 1001 adults at 50-50 risk for HD agreed to provide longitudinal clinical data and a blood DNA sample under consent provisions that require their individual clinical and genetic information to never be revealed.
RESULTS: The Prospective Huntington At Risk Observational Study (PHAROS) cohort is characterized by a 2:1 predominance of women to men, high educational attainment, and gainful employment. Despite the gender disparity, the demographic, hereditary, and clinical characteristics of the female and male participants were similar. Investigators, who are unaware of individual gene status, characterized the baseline cohort to be highly functional with minimal motor or cognitive impairment; 92.3% of participants were judged to have no or nonspecific motor abnormalities; 6.7%, to have possible or probable motor signs; and only 1.0%, to have unequivocal HD.
CONCLUSION: The baseline characteristics of the PHAROS cohort make it well suited to generate objective and prospective data about gene-specific clinical precursors that can be used as outcomes in controlled trials aimed at postponing the onset of HD.

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Year:  2006        PMID: 16831969     DOI: 10.1001/archneur.63.7.991

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  28 in total

1.  What were you thinking?: individuals at risk for Huntington Disease talk about having children.

Authors:  Kimberly A Quaid; Melinda M Swenson; Sharon L Sims; Joan M Harrison; Carol Moskowitz; Nonna Stepanov; Gregory W Suter; Beryl J Westphal
Journal:  J Genet Couns       Date:  2010-08-24       Impact factor: 2.537

2.  Challenges assessing clinical endpoints in early Huntington disease.

Authors:  Jane S Paulsen; Chiachi Wang; Kevin Duff; Roger Barker; Martha Nance; Leigh Beglinger; David Moser; Janet K Williams; Sheila Simpson; Douglas Langbehn; Daniel P van Kammen
Journal:  Mov Disord       Date:  2010-11-15       Impact factor: 10.338

3.  Personal factors associated with reported benefits of Huntington disease family history or genetic testing.

Authors:  Janet K Williams; Cheryl Erwin; Andrew Juhl; James Mills; Bradley Brossman; Jane S Paulsen
Journal:  Genet Test Mol Biomarkers       Date:  2010-08-19

4.  Longitudinal Psychiatric Symptoms in Prodromal Huntington's Disease: A Decade of Data.

Authors:  Eric A Epping; Ji-In Kim; David Craufurd; Thomas M Brashers-Krug; Karen E Anderson; Elizabeth McCusker; Jolene Luther; Jeffrey D Long; Jane S Paulsen
Journal:  Am J Psychiatry       Date:  2015-10-16       Impact factor: 18.112

5.  Relationship of Mediterranean diet and caloric intake to phenoconversion in Huntington disease.

Authors:  Karen Marder; Yian Gu; Shirley Eberly; Caroline M Tanner; Nikolaos Scarmeas; David Oakes; Ira Shoulson
Journal:  JAMA Neurol       Date:  2013-11       Impact factor: 18.302

6.  Characterization of the Huntington intermediate CAG repeat expansion phenotype in PHAROS.

Authors:  Annie Killoran; Kevin M Biglan; Joseph Jankovic; Shirley Eberly; Elise Kayson; David Oakes; Anne B Young; Ira Shoulson
Journal:  Neurology       Date:  2013-04-26       Impact factor: 9.910

7.  Plasma 8-hydroxy-2'-deoxyguanosine Levels in Huntington Disease and Healthy Controls Treated with Coenzyme Q10.

Authors:  K M Biglan; E R Dorsey; R V V Evans; C A Ross; S Hersch; I Shoulson; W Matson; K Kieburtz
Journal:  J Huntingtons Dis       Date:  2012

8.  Factors related to genetic testing in adults at risk for Huntington disease: the prospective Huntington at-risk observational study (PHAROS).

Authors:  K A Quaid; S W Eberly; E Kayson-Rubin; D Oakes; I Shoulson
Journal:  Clin Genet       Date:  2016-11-24       Impact factor: 4.438

9.  Time-varying proportional odds model for mega-analysis of clustered event times.

Authors:  Tanya P Garcia; Karen Marder; Yuanjia Wang
Journal:  Biostatistics       Date:  2019-01-01       Impact factor: 5.899

10.  Fear of health insurance loss among individuals at risk for Huntington disease.

Authors:  Emily Oster; E Ray Dorsey; Jan Bausch; Aileen Shinaman; Elise Kayson; David Oakes; Ira Shoulson; Kimberly Quaid
Journal:  Am J Med Genet A       Date:  2008-08-15       Impact factor: 2.802

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