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uk_biobank:phenotype_request [2016/04/08 10:23] naomi |
uk_biobank:phenotype_request [2016/06/09 22:35] brooke_huibregtse |
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**The variable name, link to the variable, and Field ID for EACH variable, listed below:** | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
- | 1. Brain MRI http:// | + | 1. Brain MRI http:// |
- | 2. Death Registry http:// | + | 2. Death Registry http:// |
3. Job Coding http:// | 3. Job Coding http:// | ||
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**The research question you are planning to answer with the variables above:** | **The research question you are planning to answer with the variables above:** | ||
- | After conducting a GWAS for left-handedness, | + | After conducting a GWAS for left-handedness, |
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5) Lifetime number of same sex sexual partners http:// | 5) Lifetime number of same sex sexual partners http:// | ||
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+ | 6) Non-cancer illness code, self-reported http:// | ||
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+ | 7) Risk Taking | ||
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+ | 8) Alcohol Intake frequency http:// | ||
**The research question you are planning to answer with the variables above:** | **The research question you are planning to answer with the variables above:** | ||
- | Some measures of sexual behavior, including age of sexual initiation, lifetime number of partners, | + | Some measures of sexual behavior, including age of sexual initiation |
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**The variable name, link to the variable, and Field ID for EACH variable, listed below:** | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
- | 1. Cognitive function http:// | + | 1. Cognitive function http:// |
2. Brain MRI http:// | 2. Brain MRI http:// | ||
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**The variable name, link to the variable, and Field ID for EACH variable, listed below:** | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
- | 1. Cognitive function http:// | + | 1. Cognitive function http:// |
2. Brain MRI http:// | 2. Brain MRI http:// | ||
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**The variable name, link to the variable, and Field ID for EACH variable, listed below:** | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
- | 1. Cognitive function http:// | + | 1. Cognitive function http:// |
2. Brain MRI http:// | 2. Brain MRI http:// | ||
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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 | ||
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+ | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
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+ | 1. Home area population density http:// | ||
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+ | 2. Length of time at current address http:// | ||
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+ | 3. Own or rent accommodation lived in http:// | ||
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+ | 4. Type of accommodation lived in http:// | ||
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+ | 5. Current employment status http:// | ||
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+ | 6. Time employed in main current job http:// | ||
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+ | 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. | ||