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Reporting protocols
Check list for a meta study
The list is compiled from data specifications used in ENGAGE meta studies
Study/investigation specific metadata
| variable | description | example
|
| id | submittor id | |
|
| model | study model | bmi ~ sex + age +additive(SNP)
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| phenotype | name of phenotype | bmi
|
| sample set | type of sample set | cohort
|
| design | study design ? | whole sample set
|
| samples | number of samples in study | do we need also number of cases and controls ?
|
| gender | gender of samples | M, F or M+F
|
| datatype | type of data | imputed or direct
|
| instrument | name of instrument | Illumina
|
| chip | name of array chip | HumanHap300
|
| software | name of software used in allele calling ? | BeadStudio/Illuminus
|
| exp.software | name of software used in association study? | GenABEL/PLINK
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| build | genome build version | 36
|
| exp. processing type | ? | standard
|
| adj. & stand. | ? | z-score adjusted
|
Marker specific metadata
| variable | description | example
|
| name | name of marker | rs1212212
|
| chromosome | name of chromosome | X
|
| position | location of marker in base pairs | 12345
|
| strand | orientation on strand | either + or -
|
| allele1 | allele 1 | A, T, C, G or 0 (zero) for missing data
|
| allele2 | allele 2 | as above
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| effallele | effective allele | either A,T,C,G or 0 as above
|
| effallelefreq | frequency of effective allele | 0.66
|
| n | number of samples having effective allele ?? | 100
|
| beta | estimate of the effect of the "effective" allele | (in additive model)
|
| sebeta | standard error of the estimate |
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| p | probability value for disease association | 1.0e-5
|
| pgc-lambda | genomic control inflation factor |
|
| phwe | p-value for Hardy-Weinber equilibrium |
|
| calling rate | success rate |
|