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uk_biobank:phenotype_request [2016/04/08 11:43]
brooke_huibregtse /* 5 */
uk_biobank:phenotype_request [2016/04/08 11:52]
brooke_huibregtse /* 10 */
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 We will test whether the time to complete the touchscreen questionnaire can be used as an indicator of reading ability. If so, we will perform a genetic association analysis. Visual acuity variables are included as possible confounders. Field 393, which is sensitive, is absolutely required for this purpose. Completion time of the touchscreen questionnaire is likely to be dependent on the version of the touchscreen software used by a participant. We will need to segment our analysis using this variable. We will test whether the time to complete the touchscreen questionnaire can be used as an indicator of reading ability. If so, we will perform a genetic association analysis. Visual acuity variables are included as possible confounders. Field 393, which is sensitive, is absolutely required for this purpose. Completion time of the touchscreen questionnaire is likely to be dependent on the version of the touchscreen software used by a participant. We will need to segment our analysis using this variable.
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 +======= 10 =======
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 +**Your name:** Emma Johnson
 +
 +**The variable name, link to the variable, and Field ID for EACH variable, listed below:**
 +
 +1. Home area population density http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=20118 Field 20118
 +
 +2.  Length of time at current address http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=699 Field 699
 +
 +3. Own or rent accommodation lived in http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=680 Field 680
 +
 +4. Type of accommodation lived in http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=670 Field 670
 +
 +5. Current employment status http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=6142 Field 6142
 +
 +6. Time employed in main current job http://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=757 Field 757
 +
 +The research question you are planning to answer with the variables above:
 +We are interested in doing a runs of homozygosity analysis in the UK Biobank data, assessing the relationship between these sociodemographic variables and autozygosity. Based on previous research and the ROH literature, we have reason to believe that various sociodemographic confounders can subtly bias the relationship between very distant inbreeding and psychiatric traits of interest, but many of our case-control datasets do not have these confounding variables measured, making it difficult to test the direction and strength of their influence. The variables listed above will allow us to test whether things like urban/rural location, education, employment, and other SES measures influence autozygosity and therefore could be influencing our ROH-psychiatric analyses.
  
uk_biobank/phenotype_request.txt ยท Last modified: 2016/06/09 22:35 by brooke_huibregtse