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• W1974432160 abstract "In Brief Objective Approximately half of the variance of Age-Related Hearing Impairment (ARHI) is attributable to environmental risk factors, and the other half to genetic factors. None of these genes has ever been identified, but the genes involved in monogenic nonsyndromic hearing impairment are good candidates. Here we define and validate a quantitative trait value for ARHI, correcting for age and gender, to allow the genetic study of ARHI as a quantitative trait. Design Based on the ISO 7029 standard, we convert audiometric data into a Z-score, an age- and gender-independent value expressing to what extent a person is affected by ARHI. The validity of this approach is checked using a test population of randomly collected subjects. The power to evaluate the contribution of a candidate gene to ARHI is assessed using simulated populations. As an example, one ARHI candidate gene is analyzed. Results In our test population, Z-scores were normally distributed although the mean did not equal zero. Z-scores were independent of age, and there was no difference between men and women. Power studies using simulated populations indicated that to detect moderate genetic effects, sample sizes of at least 500 random subjects are necessary. Conclusion The Z-score conversion appears to be a valid method to describe to what extent a subject is affected by ARHI, allowing to compare persons from different age and gender. This method can be the basis of future, powerful studies to identify ARHI genes. Genetic factors account for about half of the variance in Age-Related Hearing Impairment (ARHI). To allow the genetic study of ARHI as a quantitative trait (QT), this study proposes a QT value that expresses to what extent a person is affected by ARHI. This value, referred to as the Z-score, compares the observed audiological data with the median for the patient’s age and gender (ISO7029 standard). It therefore allows comparing subjects of different age and gender and pooling them into one single analysis. The validity of this approach was checked using a test population of randomly collected subjects, which showed that the conversion of audiological data to Z-scores does indeed correct for age and gender. The power to evaluate the contribution of a candidate gene to ARHI is assessed using simulated populations. As an example this study analyzes one candidate gene for ARHI, by testing for an association between Single-Nucleotide Polymorphism (SNP) alleles in this gene and the Z-score." @default.
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• W1974432160 date "2004-04-01" @default.
• W1974432160 modified "2023-10-17" @default.
• W1974432160 title "A Novel Z-Score–Based Method to Analyze Candidate Genes for Age-Related Hearing Impairment" @default.
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• W1974432160 doi "https://doi.org/10.1097/01.aud.0000120362.69077.0b" @default.
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