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uk_biobank:phenotype_request [2016/04/04 09:58] scott /* 5 */ |
uk_biobank:phenotype_request [2016/06/09 22:35] brooke_huibregtse |
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6. Time taken for ocular station http:// | 6. Time taken for ocular station http:// | ||
- | 7. Time taken for verbal interview stage http:// | + | 7. Time taken for verbal interview stage http:// |
- | 8. Time to complete touchscreen questionnaire http:// | + | 8. Willing to attempt cognitive tests http:// |
- | + | ||
- | 9. Willing to attempt cognitive tests 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:** | ||
- | These variables will be used as covariates to the primary phenotypes that we have already requested. We will also 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. | + | These variables will be used as covariates to the primary phenotypes that we have already requested |
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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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**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:** | ||
- | **** Brooke please put in variables here **** | + | 1) Answered sexual history questions http:// |
+ | |||
+ | 2) Age first had sexual intercourse http:// | ||
+ | |||
+ | 3) Lifetime number of sexual partners http:// | ||
+ | |||
+ | 4) Ever had same sex intercourse http:// | ||
+ | |||
+ | 5) Lifetime number of same sex sexual partners http:// | ||
+ | |||
+ | 6) Non-cancer illness code, self-reported http:// | ||
+ | |||
+ | 7) Risk Taking | ||
+ | |||
+ | 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 |
+ | |||
+ | |||
+ | ======= 6 ======= | ||
+ | |||
+ | **Your name:** Naomi Friedman | ||
+ | |||
+ | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
+ | |||
+ | 1. Cognitive function http:// | ||
+ | |||
+ | 2. Brain MRI http:// | ||
+ | |||
+ | 3. Cognitive function follow-up http:// | ||
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+ | **The research question you are planning to answer with the variables above:** | ||
+ | |||
+ | We are interested in the genetic correlations between neural measures and particular cognitive abilities. We will use the brain MRI measures (both structural and functional) to create neural phenotypes and the cognitive data (touch-screen and follow-up) to create cognitive factors. | ||
+ | |||
+ | |||
+ | ======= 7 ======= | ||
+ | |||
+ | **Your name:** Naomi Friedman | ||
+ | |||
+ | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
+ | |||
+ | 1. Cognitive function http:// | ||
+ | |||
+ | 2. Brain MRI http:// | ||
+ | |||
+ | 3. Cognitive function follow-up http:// | ||
+ | |||
+ | 4. Diagnoses- Main ICD10 http:// | ||
+ | |||
+ | 5. Episodes containing " | ||
+ | |||
+ | **The research question you are planning to answer with the variables above:** | ||
+ | |||
+ | We are interested in the genetic correlations of different neural measures and cognitive abilities with psychopathology. We will use the brain MRI measures (both structural and functional) to create neural phenotypes and the cognitive data (touch-screen and follow-up) to create cognitive factors, then examine their genetic correlations with data from this sample on psychiatric phenotypes, as well as with PGC data. | ||
+ | |||
+ | |||
+ | ======= 8 ======= | ||
+ | |||
+ | **Your name:** Naomi Friedman | ||
+ | |||
+ | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
+ | |||
+ | 1. Cognitive function http:// | ||
+ | |||
+ | 2. Brain MRI http:// | ||
+ | |||
+ | 3. Cognitive function follow-up http:// | ||
+ | |||
+ | 4. Sleep http:// | ||
+ | |||
+ | 5. Diagnoses- Main ICD10 http:// | ||
+ | |||
+ | 6. Episodes containing " | ||
+ | |||
+ | **The research question you are planning to answer with the variables above:** | ||
+ | |||
+ | We are interested in genetic correlations of individual differences in sleep (including insomnia, duration, and chronotype) with cognitive abilities, neural functioning, | ||
+ | |||
+ | |||
+ | ======= 9 ======= | ||
+ | |||
+ | |||
+ | **Your name:** David Brazel | ||
+ | |||
+ | **The variable name, link to the variable, and Field ID for EACH variable, listed below:** | ||
+ | |||
+ | 1. Time to complete touchscreen questionnaire http:// | ||
+ | |||
+ | 2. Reason for skipping visual acuity (left) http:// | ||
+ | |||
+ | 3. Reason for skipping visual acuity (right) http:// | ||
+ | |||
+ | 4. Glasses worn/ | ||
+ | |||
+ | 5. Glasses worn/ | ||
+ | |||
+ | 6. Visual acuity measured (left) http:// | ||
+ | |||
+ | 7. Visual acuity measured (right) http:// | ||
+ | |||
+ | 8. Distance of viewer to screen (left) http:// | ||
+ | |||
+ | 9. Distance of viewer to screen (right) http:// | ||
+ | |||
+ | 10. Direct or mirror view (left) http:// | ||
+ | |||
+ | 11. Direct or mirror view (right) http:// | ||
+ | |||
+ | 12. logMAR, final (left) http:// | ||
+ | |||
+ | 13. logMAR, final (right) http:// | ||
+ | |||
+ | 14. Both eyes present http:// | ||
+ | |||
+ | 15. Current eye infection http:// | ||
+ | |||
+ | 16. Wears glasses or contact lenses http:// | ||
+ | |||
+ | 17. Reason for glasses/ | ||
+ | |||
+ | 18. Program (tactus) version ID (compiler timestamp) http:// | ||
+ | |||
+ | **The research question you are planning to answer with the variables above:** | ||
+ | |||
+ | 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. | ||
+ | |||
+ | |||
+ | ======= 10 ======= | ||
+ | |||
+ | |||
+ | **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:// | ||
+ | |||
+ | 2. Length of time at current address http:// | ||
+ | |||
+ | 3. Own or rent accommodation lived in http:// | ||
+ | |||
+ | 4. Type of accommodation lived in http:// | ||
+ | |||
+ | 5. Current employment status http:// | ||
+ | |||
+ | 6. Time employed in main current job http:// | ||
+ | |||
+ | 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. | ||