Cargando…

Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease

Previous genome-wide association studies using P-values to select single nucleotide polymorphisms (SNPs) have suffered from high false-positive and false-negative results. This case-control study recruited 713 late-onset Alzheimer’s disease (LOAD) cases and controls aged ≥65 from three teaching hosp...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yen-Ching, Hsiao, Chi-Jung, Jung, Chien-Cheng, Hu, Hui-Han, Chen, Jen-Hau, Lee, Wen-Chung, Chiou, Jeng-Min, Chen, Ta-Fu, Sun, Yu, Wen, Li-Li, Yip, Ping-Keung, Chu, Yi-Min, Chen, Chien-Jen, Yang, Hwai-I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5090242/
https://www.ncbi.nlm.nih.gov/pubmed/27805002
http://dx.doi.org/10.1038/srep36155
_version_ 1782464378431340544
author Chen, Yen-Ching
Hsiao, Chi-Jung
Jung, Chien-Cheng
Hu, Hui-Han
Chen, Jen-Hau
Lee, Wen-Chung
Chiou, Jeng-Min
Chen, Ta-Fu
Sun, Yu
Wen, Li-Li
Yip, Ping-Keung
Chu, Yi-Min
Chen, Chien-Jen
Yang, Hwai-I
author_facet Chen, Yen-Ching
Hsiao, Chi-Jung
Jung, Chien-Cheng
Hu, Hui-Han
Chen, Jen-Hau
Lee, Wen-Chung
Chiou, Jeng-Min
Chen, Ta-Fu
Sun, Yu
Wen, Li-Li
Yip, Ping-Keung
Chu, Yi-Min
Chen, Chien-Jen
Yang, Hwai-I
author_sort Chen, Yen-Ching
collection PubMed
description Previous genome-wide association studies using P-values to select single nucleotide polymorphisms (SNPs) have suffered from high false-positive and false-negative results. This case-control study recruited 713 late-onset Alzheimer’s disease (LOAD) cases and controls aged ≥65 from three teaching hospitals in northern Taiwan from 2007 to 2010. Performance metrics were used to select SNPs in stage 1, which were then genotyped to another dataset (stage 2). Four SNPs (CPXM2 rs2362967, APOC1 rs4420638, ZNF521 rs7230380, and rs12965520) were identified for LOAD by both traditional P-values (without correcting for multiple tests) and performance metrics. After correction for multiple tests, no SNPs were identified by traditional P-values. Simultaneous testing of APOE e4 and APOC1 rs4420638 (the SNP with the best performance in the performance metrics) significantly improved the low sensitivity of APOE e4 from 0.50 to 0.78. A point-based genetic model including these 2 SNPs and important covariates was constructed. Compared with elders with low-risks score (0–6), elders belonging to moderate-risk (score = 7–11) and high-risk (score = 12–18) groups showed a significantly increased risk of LOAD (adjusted odds ratio = 7.80 and 46.93, respectively; P(trend) < 0.0001). Performance metrics allow for identification of markers with moderate effect and are useful for creating genetic tests with clinical and public health implications.
format Online
Article
Text
id pubmed-5090242
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-50902422016-11-08 Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease Chen, Yen-Ching Hsiao, Chi-Jung Jung, Chien-Cheng Hu, Hui-Han Chen, Jen-Hau Lee, Wen-Chung Chiou, Jeng-Min Chen, Ta-Fu Sun, Yu Wen, Li-Li Yip, Ping-Keung Chu, Yi-Min Chen, Chien-Jen Yang, Hwai-I Sci Rep Article Previous genome-wide association studies using P-values to select single nucleotide polymorphisms (SNPs) have suffered from high false-positive and false-negative results. This case-control study recruited 713 late-onset Alzheimer’s disease (LOAD) cases and controls aged ≥65 from three teaching hospitals in northern Taiwan from 2007 to 2010. Performance metrics were used to select SNPs in stage 1, which were then genotyped to another dataset (stage 2). Four SNPs (CPXM2 rs2362967, APOC1 rs4420638, ZNF521 rs7230380, and rs12965520) were identified for LOAD by both traditional P-values (without correcting for multiple tests) and performance metrics. After correction for multiple tests, no SNPs were identified by traditional P-values. Simultaneous testing of APOE e4 and APOC1 rs4420638 (the SNP with the best performance in the performance metrics) significantly improved the low sensitivity of APOE e4 from 0.50 to 0.78. A point-based genetic model including these 2 SNPs and important covariates was constructed. Compared with elders with low-risks score (0–6), elders belonging to moderate-risk (score = 7–11) and high-risk (score = 12–18) groups showed a significantly increased risk of LOAD (adjusted odds ratio = 7.80 and 46.93, respectively; P(trend) < 0.0001). Performance metrics allow for identification of markers with moderate effect and are useful for creating genetic tests with clinical and public health implications. Nature Publishing Group 2016-11-02 /pmc/articles/PMC5090242/ /pubmed/27805002 http://dx.doi.org/10.1038/srep36155 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chen, Yen-Ching
Hsiao, Chi-Jung
Jung, Chien-Cheng
Hu, Hui-Han
Chen, Jen-Hau
Lee, Wen-Chung
Chiou, Jeng-Min
Chen, Ta-Fu
Sun, Yu
Wen, Li-Li
Yip, Ping-Keung
Chu, Yi-Min
Chen, Chien-Jen
Yang, Hwai-I
Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title_full Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title_fullStr Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title_full_unstemmed Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title_short Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer’s Disease
title_sort performance metrics for selecting single nucleotide polymorphisms in late-onset alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5090242/
https://www.ncbi.nlm.nih.gov/pubmed/27805002
http://dx.doi.org/10.1038/srep36155
work_keys_str_mv AT chenyenching performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT hsiaochijung performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT jungchiencheng performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT huhuihan performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT chenjenhau performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT leewenchung performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT chioujengmin performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT chentafu performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT sunyu performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT wenlili performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT yippingkeung performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT chuyimin performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT chenchienjen performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease
AT yanghwaii performancemetricsforselectingsinglenucleotidepolymorphismsinlateonsetalzheimersdisease