B1001 - EAGLE consortiums Internalizing Behaviour GWAS meta-analysis - 25/05/2010
Concept: Measurement Person Source Time points
Internalizing behaviour SDQ emotional symptoms mother report Questionnaire 4-13yrs.
continuous measurement
SMFQ mother report Questionnaire 10-16yrs.
continuous measurement
EAGLE-WITHIN-COHORT-ANALYSIS-PLAN-Internalizingbehaviour-170310
In this document:
1. Traits of interest
2. Participating studies
3. Number of subjects
4. Genotyping + Imputation
5. Model of association.
6. Data exchange
7. Analysis plan
8. Secondary analysis
9. Proposed deadline
1. Traits of interest
First round: Internalizing behaviour at preschool age (0-7yrs.) continuous measure (int_cont_preschool)
Second round (data added to first round): Internalizing behaviour at school age (8-17yrs.) continuous measure (int_cont_school)
2. Participating studies (as of 10-09-2009)
Fleur Velders, Henning Tiemeier (Generation R),
Joachim Heinrich (LISA)
Beate Glaser, George Davey Smith (Alspac),
Elena Hyponen, Chris Power (1958BC),
Sandra Louis, Lyell Palmer (RAINE),
Pal Suren, Camilla Stoltenberg (MOBA).
3. Projected number of subjects:
4. Genotyping + Imputation
* Genotyped SNPs (Affymetrix, Illumina, Perlegen)
* Imputation HapMap Phase II CEU SNPs. Preferred release 22 of HapMap, build 36. Predefined marker filters to apply before imputation (HWEPgreater than 10-6, MAFgreater than 0.01, SNP-callgreater than 95%). Suggestion left open to cohorts to apply specific filters but should be reported.
* Analyse all SNPs, no filtering on call rate/HWE/MAF/imputation quality (QC metrics to be reported, and filtering will be done at meta-analysis stage)
5. Model of association
* Additive model (SNP coded as allele dose from 0 to 2), which accounts for genotype imputation uncertainty by use of linear regression onto estimated dose (as included in MACHQTL, ProbABEL, SNPTEST), adjusting for population structure and covariates.
6. Data exchange
* See separate RESULTS_FORMAT file for details of results file formatting and file naming.
* Summary statistics to be uploaded to the AIMS system (available?) (link will be provided)
* Only summary statistics will be transferred, not individual level genotype or phenotype data.
7. Analysis outline
* First round: int_cont_preschool
* Second reound: int_cont_school all items:
Internalizing behaviour:
CBCL: broad band scale internalizing problems
SDQ: subscales internalizing behaviour
Rutter: subscales internalizing behaviour
* how to deal with missings? Suggestions:
o allow 25% mssings per scale
o minimum of 10 items per scale
o cohort specific
* Transformation of outcome variable:
o intbeh Z-score = calculate a Z-score
= standardised score
= [value-mean]/standard deviation
(based on the mean and SD internalizing problems score in the sample)
* Model:
o Z-score = SNP + sex + age
- SNP = child genotype
- Sex: coded 1 for male, 2 for female
- Age: at measurement
* Exclusions:
o One of sibling twins or correction
o Non-Caucasian
8. Secondary analyses (for later discussion)
* Dichotomous measurements
9. Deadline
* The proposed deadline for uploading = end of May 2010.