Literature DB >> 8840391

Age-at-interview bias in anticipation studies: computer simulations and an example with panic disorder.

G A Heiman1, S E Hodge, P Wickramaratne, H Hsu.   

Abstract

The phenomenon of anticipation has received considerable interest recently, especially among researchers investigating the genetics of psychiatric disorders. Anticipation can involve an earlier age at onset, greater severity, and/or a higher number of affected individuals in successive generations within a family. There is some controversy concerning detection of age-at-onset anticipation, due to problems of sampling bias, which may account for the phenomenon by preferentially sampling either lateronset parents or earlier-onset children. One source of bias that has not been explicitly investigated is differential age at interview between parent and child, such that parents have passed through more of the risk period than their offspring. We conducted a computer simulation study of affected parent-child pairs to determine whether, for realistic age-at-onset and age-at-interview distributions, this source of bias is a serious one. Our results show that the timing of diagnostic assessment can strongly affect the ascertainment of parent-child pairs, to produce a severely biased sample exhibiting apparent anticipation. Under realistic assumptions, an investigator may face a greatly increased risk of false positives (i.e. detecting anticipation when none exists). For example, a nominal 5% significance level may correspond to true p values as high as 50% or even approaching 100%. We conclude with an application to existing data on panic disorder.

Entities:  

Mesh:

Year:  1996        PMID: 8840391     DOI: 10.1097/00041444-199622000-00005

Source DB:  PubMed          Journal:  Psychiatr Genet        ISSN: 0955-8829            Impact factor:   2.458


  7 in total

Review 1.  Triplet repeats and bipolar disorder.

Authors:  Ian Jones; Katherine Gordon-Smith; Nick Craddock
Journal:  Curr Psychiatry Rep       Date:  2002-04       Impact factor: 5.285

Review 2.  A review of statistical methods for testing genetic anticipation: looking for an answer in Lynch syndrome.

Authors:  Philip S Boonstra; Stephen B Gruber; Victoria M Raymond; Shu-Chen Huang; Susanne Timshel; Mef Nilbert; Bhramar Mukherjee
Journal:  Genet Epidemiol       Date:  2010-11       Impact factor: 2.135

3.  Statistical evaluation of age-at-onset anticipation: a new test and evaluation of its behavior in realistic applications.

Authors:  V J Vieland; J Huang
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

4.  Predicting age of onset in familial essential tremor: how much does age of onset run in families?

Authors:  Elan D Louis; Nora Hernandez; Daniel Rabinowitz; Ruth Ottman; Lorraine N Clark
Journal:  Neuroepidemiology       Date:  2013-01-24       Impact factor: 3.282

5.  Ascertainment bias causes false signal of anticipation in genetic prion disease.

Authors:  Eric Vallabh Minikel; Inga Zerr; Steven J Collins; Claudia Ponto; Alison Boyd; Genevieve Klug; André Karch; Joanna Kenny; John Collinge; Leonel T Takada; Sven Forner; Jamie C Fong; Simon Mead; Michael D Geschwind
Journal:  Am J Hum Genet       Date:  2014-10-02       Impact factor: 11.025

6.  Finger patterns and age of onset for the determination of the parent-of-origin in the transmission of schizophrenia.

Authors:  R Ponnudurai; J Jayakar
Journal:  Indian J Psychiatry       Date:  2015 Jan-Mar       Impact factor: 1.759

7.  Intra-Familial Phenotypic Heterogeneity and Telomere Abnormality in von Hippel- Lindau Disease: Implications for Personalized Surveillance Plan and Pathogenesis of VHL-Associated Tumors.

Authors:  Jiangyi Wang; Xiang Peng; Cen Chen; Xianghui Ning; Shuanghe Peng; Teng Li; Shengjie Liu; Baoan Hong; Jingcheng Zhou; Kaifang Ma; Lin Cai; Kan Gong
Journal:  Front Genet       Date:  2019-04-24       Impact factor: 4.599

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.