Literature DB >> 3160237

Anthropometric discrimination among affected, at-risk, and not-at-risk individuals in families with Huntington disease.

L A Farrer, P L Yu.   

Abstract

An earlier report showed significant differences among Huntington disease (HD) patients, controls, and particular age cohorts of at-risk persons for several dimensions of body mass and for several linear and craniofacial components of the body. In this investigation a function was derived from a stepwise discriminant analysis of the affected and unaffected groups, and used to classify the at-risk individuals according to HD gene carrier status. The function, comprised of body mass index, subscapular skinfold, head length, and sitting height, classified 95% of the controls and 87% of the affected individuals correctly. Approximately 80% of the individuals at-risk were classified with 80% or greater certainty. We propose that anthropometric variables may prove to be a powerful tool for basic research in HD and the derived discriminant function has potential clinical value as a diagnostic and preclinical diagnostic aid. We emphasize that corroborative testing on other sample populations of HD families is required before these techniques are utilized. Also, it is imperative that the anthropometric protocol include appropriate standardization of the raw measurement data.

Entities:  

Mesh:

Year:  1985        PMID: 3160237     DOI: 10.1002/ajmg.1320210213

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  10 in total

1.  Measures of growth in children at risk for Huntington disease.

Authors:  Jessica K Lee; Kathy Mathews; Bradley Schlaggar; Joel Perlmutter; Jane S Paulsen; Eric Epping; Leon Burmeister; Peg Nopoulos
Journal:  Neurology       Date:  2012-07-18       Impact factor: 9.910

Review 2.  How vital is sleep in Huntington's disease?

Authors:  Anna O G Goodman; Roger A Barker
Journal:  J Neurol       Date:  2010-03-24       Impact factor: 4.849

3.  Mapping of recombinants near the Huntington disease locus by using G8 (D4S10) and newly isolated markers in the D4S10 region.

Authors:  M I Skraastad; E Bakker; L F de Lange; M Vegter-van der Vlis; E G Klein-Breteler; G J van Ommen; P L Pearson
Journal:  Am J Hum Genet       Date:  1989-04       Impact factor: 11.025

4.  Corticosterone dysregulation exacerbates disease progression in the R6/2 transgenic mouse model of Huntington's disease.

Authors:  Brett D Dufour; Jodi L McBride
Journal:  Exp Neurol       Date:  2016-07-02       Impact factor: 5.330

Review 5.  Weight loss in neurodegenerative disorders.

Authors:  N A Aziz; M A van der Marck; H Pijl; M G M Olde Rikkert; B R Bloem; R A C Roos
Journal:  J Neurol       Date:  2009-01-22       Impact factor: 4.849

6.  Anticipation in Huntington's disease is inherited through the male line but may originate in the female.

Authors:  R M Ridley; C D Frith; T J Crow; P M Conneally
Journal:  J Med Genet       Date:  1988-09       Impact factor: 6.318

7.  Chromosome substitution strain assessment of a Huntington's disease modifier locus.

Authors:  Eliana Marisa Ramos; Marina Kovalenko; Jolene R Guide; Jason St Claire; Tammy Gillis; Jayalakshmi S Mysore; Jorge Sequeiros; Vanessa C Wheeler; Isabel Alonso; Marcy E MacDonald
Journal:  Mamm Genome       Date:  2015-02-03       Impact factor: 2.957

8.  A 24-Hour Study of the Hypothalamo-Pituitary Axes in Huntington's Disease.

Authors:  Eirini Kalliolia; Edina Silajdžić; Rajasree Nambron; Seán J Costelloe; Nicholas G Martin; Nathan R Hill; Chris Frost; Hilary C Watt; Peter Hindmarsh; Maria Björkqvist; Thomas T Warner
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

9.  White Adipose Tissue Browning in the R6/2 Mouse Model of Huntington's Disease.

Authors:  Andrew C McCourt; Lovisa Jakobsson; Sara Larsson; Cecilia Holm; Sarah Piel; Eskil Elmér; Maria Björkqvist
Journal:  PLoS One       Date:  2016-08-03       Impact factor: 3.240

10.  A Metabolic Study of Huntington's Disease.

Authors:  Rajasree Nambron; Edina Silajdžić; Eirini Kalliolia; Chris Ottolenghi; Peter Hindmarsh; Nathan R Hill; Seán J Costelloe; Nicholas G Martin; Vincenzo Positano; Hilary C Watt; Chris Frost; Maria Björkqvist; Thomas T Warner
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.