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A non-threshold region-specific method for detecting rare variants in complex diseases.
Hsieh, Ai-Ru; Chen, Dao-Peng; Chattopadhyay, Amrita Sengupta; Li, Ying-Ju; Chang, Chien-Ching; Fann, Cathy S J.
Afiliação
  • Hsieh AR; Graduate Institute of Biostatistics, China Medical University, Taichung, Taiwan.
  • Chen DP; Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
  • Chattopadhyay AS; Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
  • Li YJ; Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
  • Chang CC; Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
  • Fann CSJ; Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei, Taiwan.
PLoS One ; 12(11): e0188566, 2017.
Article em En | MEDLINE | ID: mdl-29190701
ABSTRACT
A region-specific method, NTR (non-threshold rare) variant detection method, was developed-it does not use the threshold for defining rare variants and accounts for directions of effects. NTR also considers linkage disequilibrium within the region and accommodates common and rare variants simultaneously. NTR weighs variants according to minor allele frequency and odds ratio to combine the effects of common and rare variants on disease occurrence into a single score and provides a test statistic to assess the significance of the score. In the simulations, under different effect sizes, the power of NTR increased as the effect size increased, and the type I error of our method was controlled well. Moreover, NTR was compared with several other existing methods, including the combined multivariate and collapsing method (CMC), weighted sum statistic method (WSS), sequence kernel association test (SKAT), and its modification, SKAT-O. NTR yields comparable or better power in simulations, especially when the effects of linkage disequilibrium between variants were at least moderate. In an analysis of diabetic nephropathy data, NTR detected more confirmed disease-related genes than the other aforementioned methods. NTR can thus be used as a complementary tool to help in dissecting the etiology of complex diseases.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Genéticas Inatas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Genéticas Inatas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article