Genetic factors are stressed variably by onset age‐based sample selection in psoriasis: A hint from major histocompatibility complex region‐based analysis

Background Large cohort‐based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome‐wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothe...

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Published inThe journal of gene medicine Vol. 19; no. 12
Main Authors Ye, Lei, Yang, Chao, Dou, Jin‐Fa, Wen, Lei‐Lei, Wang, Wen‐Jun, Zheng, Xiao‐Dong, Zuo, Xian‐Bo, Zhou, Fu‐Sheng, Fan, Xing, Zhang, Xue‐Jun
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Published England Wiley Periodicals Inc 01.12.2017
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Abstract Background Large cohort‐based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome‐wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age‐based sample variables might have a great impact on the results. Methods In the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects. Results We found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut‐off values were defined as 20 or 30 years old. Similar results were also found among 11–20‐, 21–30‐ and 31–40‐year‐old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA‐C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup. Conclusions Onset age‐based sample variables influence the results of genetic association studies, at least in MHC region‐based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.
AbstractList Large cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome-wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age-based sample variables might have a great impact on the results.BACKGROUNDLarge cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome-wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age-based sample variables might have a great impact on the results.In the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects.METHODSIn the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects.We found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut-off values were defined as 20 or 30 years old. Similar results were also found among 11-20-, 21-30- and 31-40-year-old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA-C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup.RESULTSWe found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut-off values were defined as 20 or 30 years old. Similar results were also found among 11-20-, 21-30- and 31-40-year-old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA-C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup.Onset age-based sample variables influence the results of genetic association studies, at least in MHC region-based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.CONCLUSIONSOnset age-based sample variables influence the results of genetic association studies, at least in MHC region-based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.
Large cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome-wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age-based sample variables might have a great impact on the results. In the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects. We found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut-off values were defined as 20 or 30 years old. Similar results were also found among 11-20-, 21-30- and 31-40-year-old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA-C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup. Onset age-based sample variables influence the results of genetic association studies, at least in MHC region-based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.
Background Large cohort‐based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome‐wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age‐based sample variables might have a great impact on the results. Methods In the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects. Results We found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut‐off values were defined as 20 or 30 years old. Similar results were also found among 11–20‐, 21–30‐ and 31–40‐year‐old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA‐C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup. Conclusions Onset age‐based sample variables influence the results of genetic association studies, at least in MHC region‐based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.
Background Large cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the genome-wide association study level have been obtained among studies, even for those conducted within the same ethnic groups. We hypothesized that onset age-based sample variables might have a great impact on the results. Methods In the present study, we divided psoriasis patients into several subgroups according to the onset age bracket. We conducted genetic association analysis in the major histocompatibility complex (MHC) region of each patient subgroup with shared control subjects. Results We found decreases in the numbers of susceptible variants in each subgroup analysis as the onset age increased in the longitudinal analysis. Meanwhile, the pairwise analysis showed that younger patients exhibited greater numbers of genetic risks in the MHC region compared to elder patients, regardless of whether the cut-off values were defined as 20 or 30 years old. Similar results were also found among 11-20-, 21-30- and 31-40-year-old groups. Furthermore, when combining the results of both the stepwise regression analysis and the HLA-C*06:02 conditioning analysis, different variants were found to be independently associated with each psoriasis subgroup. Conclusions Onset age-based sample variables influence the results of genetic association studies, at least in MHC region-based genetic analysis. We suggest that caution is required when selecting samples for genetic association studies to prevent confounders that might be a result of onset age.
Author Wang, Wen‐Jun
Fan, Xing
Zhang, Xue‐Jun
Dou, Jin‐Fa
Zheng, Xiao‐Dong
Yang, Chao
Zuo, Xian‐Bo
Wen, Lei‐Lei
Zhou, Fu‐Sheng
Ye, Lei
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Issue 12
Keywords precision genetics
major histocompatibility complex
onset age
psoriasis
Language English
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Snippet Background Large cohort‐based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to...
Large cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to the...
Background Large cohort-based genetic association studies have been established over a decade. However, for certain diseases, different results with respect to...
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pubmed
crossref
wiley
SourceType Aggregation Database
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Enrichment Source
Publisher
SubjectTerms Adolescent
Adult
Age
Age of Onset
Aged
Aged, 80 and over
Association analysis
Child
Child, Preschool
Female
Gene therapy
Genetic analysis
Genetic Association Studies - methods
Genetic factors
Genome-wide association studies
Genomes
Histocompatibility antigen HLA
Humans
Infant
Major histocompatibility complex
Major Histocompatibility Complex - genetics
Male
Middle Aged
Minority & ethnic groups
onset age
Polymorphism, Single Nucleotide
precision genetics
Psoriasis
Psoriasis - genetics
Regression Analysis
Studies
Young Adult
Title Genetic factors are stressed variably by onset age‐based sample selection in psoriasis: A hint from major histocompatibility complex region‐based analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjgm.2997
https://www.ncbi.nlm.nih.gov/pubmed/29076194
https://www.proquest.com/docview/1978587674
https://www.proquest.com/docview/1957463164
Volume 19
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