Literature DB >> 12036111

Power and efficiency of the TDT and case-control design for association scans.

Ralph McGinnis1, Sagiv Shifman, Ariel Darvasi.   

Abstract

Sample size required for the TDT and the case-control designs was studied for marker-based genome-wide scans for disease association. The influence of various parameters on sample size required to attain a given level of power was analyzed in detail. Small genotypic relative risks, low levels of linkage disequilibrium, and departure from equal frequencies for the disease allele and associated marker allele, significantly and similarly increase sample size required by either the TDT or case-control design. Under the case-control paradigm, we show that the optimal strategy will often be to collect many more control individuals than disease cases with the optimal ratio depending on the relative cost of acquiring cases as compared to controls. For the TDT, the number of required simplex families is virtually equal to the number of cases required for similar power in case-control studies with an equal number of cases and controls. The case-control approach may therefore prove to be more economical and expeditious than the TDT design for diseases in which the cost and time required to collect simplex families is much greater than that needed to acquire isolated disease cases. Nevertheless, possible population stratification needs to be addressed when the case-control design is applied.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12036111     DOI: 10.1023/a:1015205924326

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  21 in total

1.  Power for genetic association studies with random allele frequencies and genotype distributions.

Authors:  Walter T Ambrosius; Ethan M Lange; Carl D Langefeld
Journal:  Am J Hum Genet       Date:  2004-03-12       Impact factor: 11.025

2.  To: Biason-Lauber A, Boehm B, Lang-Muritano M et al. (2005) association of childhood type 1 diabetes mellitus with a variant of PAX4: possible link to beta cell regenerative capacity. Diabetologia 48:900-905.

Authors:  T Gylvin; R Bergholdt; J Nerup; F Pociot
Journal:  Diabetologia       Date:  2005-08-13       Impact factor: 10.122

3.  Analysis of RUNX1 binding site and RAPTOR polymorphisms in psoriasis: no evidence for association despite adequate power and evidence for linkage.

Authors:  P Stuart; R P Nair; G R Abecasis; I Nistor; R Hiremagalore; N V Chia; Z S Qin; R A Thompson; S Jenisch; M Weichenthal; J Janiga; H W Lim; E Christophers; J J Voorhees; J T Elder
Journal:  J Med Genet       Date:  2005-05-27       Impact factor: 6.318

4.  Ranks of genuine associations in whole-genome scans.

Authors:  Dmitri V Zaykin; Lev A Zhivotovsky
Journal:  Genetics       Date:  2005-07-14       Impact factor: 4.562

Review 5.  Mitochondrial Aspartate/Glutamate Carrier SLC25A12 and Autism Spectrum Disorder: a Meta-Analysis.

Authors:  Yuta Aoki; Samuele Cortese
Journal:  Mol Neurobiol       Date:  2015-02-10       Impact factor: 5.590

6.  Power for genetic association study of human longevity using the case-control design.

Authors:  Qihua Tan; Jing Hua Zhao; Dongfeng Zhang; Torben A Kruse; Kaare Christensen
Journal:  Am J Epidemiol       Date:  2008-08-27       Impact factor: 4.897

7.  A family-based association analysis and meta-analysis of the reading disabilities candidate gene DYX1C1.

Authors:  C Tran; F Gagnon; K G Wigg; Y Feng; L Gomez; T D Cate-Carter; E N Kerr; L L Field; B J Kaplan; M W Lovett; C L Barr
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-01-22       Impact factor: 3.568

8.  Genomewide linkage scan for bipolar-disorder susceptibility loci among Ashkenazi Jewish families.

Authors:  M Daniele Fallin; Virginia K Lasseter; Paula S Wolyniec; John A McGrath; Gerald Nestadt; David Valle; Kung-Yee Liang; Ann E Pulver
Journal:  Am J Hum Genet       Date:  2004-06-18       Impact factor: 11.025

9.  Dissection of maize kernel composition and starch production by candidate gene association.

Authors:  Larissa M Wilson; Sherry R Whitt; Ana M Ibáñez; Torbert R Rocheford; Major M Goodman; Edward S Buckler
Journal:  Plant Cell       Date:  2004-09-17       Impact factor: 11.277

10.  The role of GABRA2 in alcohol dependence, smoking, and illicit drug use in an Australian population sample.

Authors:  Penelope A Lind; Stuart Macgregor; Arpana Agrawal; Grant W Montgomery; Andrew C Heath; Nicholas G Martin; John B Whitfield
Journal:  Alcohol Clin Exp Res       Date:  2008-08-22       Impact factor: 3.455

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.