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A non-threshold region-specific method for detecting rare variants in complex diseases

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 simultaneo...

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Autores principales: Hsieh, Ai-Ru, Chen, Dao-Peng, Chattopadhyay, Amrita Sengupta, Li, Ying-Ju, Chang, Chien-Ching, Fann, Cathy S. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708778/
https://www.ncbi.nlm.nih.gov/pubmed/29190701
http://dx.doi.org/10.1371/journal.pone.0188566
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author Hsieh, Ai-Ru
Chen, Dao-Peng
Chattopadhyay, Amrita Sengupta
Li, Ying-Ju
Chang, Chien-Ching
Fann, Cathy S. J.
author_facet Hsieh, Ai-Ru
Chen, Dao-Peng
Chattopadhyay, Amrita Sengupta
Li, Ying-Ju
Chang, Chien-Ching
Fann, Cathy S. J.
author_sort Hsieh, Ai-Ru
collection PubMed
description 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.
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spelling pubmed-57087782017-12-15 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. PLoS One Research Article 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. Public Library of Science 2017-11-30 /pmc/articles/PMC5708778/ /pubmed/29190701 http://dx.doi.org/10.1371/journal.pone.0188566 Text en © 2017 Hsieh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hsieh, Ai-Ru
Chen, Dao-Peng
Chattopadhyay, Amrita Sengupta
Li, Ying-Ju
Chang, Chien-Ching
Fann, Cathy S. J.
A non-threshold region-specific method for detecting rare variants in complex diseases
title A non-threshold region-specific method for detecting rare variants in complex diseases
title_full A non-threshold region-specific method for detecting rare variants in complex diseases
title_fullStr A non-threshold region-specific method for detecting rare variants in complex diseases
title_full_unstemmed A non-threshold region-specific method for detecting rare variants in complex diseases
title_short A non-threshold region-specific method for detecting rare variants in complex diseases
title_sort non-threshold region-specific method for detecting rare variants in complex diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708778/
https://www.ncbi.nlm.nih.gov/pubmed/29190701
http://dx.doi.org/10.1371/journal.pone.0188566
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