update from the i4c international data coordinating centre gabriella tikellis (phd) murdoch...
TRANSCRIPT
Update from the I4C International Data Coordinating Centre
Gabriella Tikellis (PhD)Murdoch Childrens Research Institute6th International I4C Meeting, IARC5-6th October, 2013
CPP - USA60,000 JPS - Israel
92,408
ALSPAC - UK 14,042
TIHS 10,627
DNBC - Denmark 101,042
MoBa - Norway 109,981
BDSS - China 247,831
JECS - Japan 100,000
NCS - USA 100,000
CFCS – China 300,000
CIHS - Brazil 100,000
BCS - UK 100,000
GEHBC – Germany 200,000
MCRI - VIC 100,000
Wuhan - China 120,000
ELFE – France 20,000
Bradford - UK 10,000NINFEA – Italy 7,500
I4C member cohorts
Murdoch Childrens Research Institute
I4C International DataCoordinating Centre
Role of the IDCC
• Coordinate the transfer of cohort data to a central location (i.e. MCRI)
• Maintain and ensure the data is kept secure • In collaboration with cohort representatives, work on the cleaning, validation and
harmonization of variables from each dataset
• Develop pooled datasets for analysis
• Provide statistical support where required
• Work with cohorts, Working Groups and other members to assist and facilitate the various research and day-to-day activities
• Provide scientific input into the development of research proposals
I4C draft policies_March2013
Welcome to our BiostatisticiansProf Stanley Lemeshow Dr Gary Phillips
Center for Biostatistics
Childhood cancer cases
Total number of cancer cases at I4C IDCC: Oct 2013based on all live births
(545)
MoBa: Results from latest linkage to cancer registry in May 2013, found 127 cases of CC. Awaiting details on cancer types to be made available to IDCC
Progress in last 12 months• Ascertainment of follow-up years for each child
• Established age of child at last contact time- for cancer cases and non-cancer subjects across 6 cohorts
Significant amount of work carried out to determine amount of follow up for each subject
Communication with cohorts to establish dates of linkage with cancer registries or last dates of contact
Transfer of questionnaire data
6 cohorts contributing data to the pooled dataset
• ALSPAC, UK• CPP, USA• DNBC, Denmark,• JPS, Israel• MoBa, Norway• TIHS, Australia
Tally of available data at IDCC
380,427- mothers and babies*
* Includes 10% subsample from DNBC and MoBa
Pooled variables provide a ‘core’ dataset which we have used to
examine birth weight and childhood cancer association
Pooled dataset- Birth weight
X = data not collected
? = to be verified
VARIABLE ALSPAC CPP DNBC JPS MoBa TIHS
Maternal age √ √ √ √ √ √Paternal age, years √ √ √ √ √ √
Maternal education, years √ √ √ √ √ √Paternal education, years √ √ √ √ √ √
Single, married, divorced, living together etc. √ √ √ √ √ √
Maternal, prenatal smoking √ √ √ √ √ √Passive smoking, prenatal √ X √ √ √ √
Maternal, prenatal alcohol consumption √ X √ X √ √
Maternal prepregnancy BMI, kg/m2 √ √ √ √ √ √(includes height and prepregnancy weight separately)
Maternal pregnancy weight change, kg √ √ √ √ √ √
Maternal DM √ √ √ √ √ XPaternal DM √ √ √ √ √ X
Parity (number of prior live births) √ √ √ √ √ XPrior miscarriage √ √ √ ? √ X
Xray exposure, prenatal √ √ X √ √ X
MATERNAL ADIPOSITY
DIABETES
REPRODUCTIVE HISTORY
RADIATION EXPOSURE
AGE
EDUCATION
MARITAL STATUS
SMOKING
ALCOHOL
Not all variables included in final models, Variables included were focused on prenatal time period
Birth-related variables VARIABLE ALSPAC CPP DNBC JPS MoBa TIHS
Gestation age, weeks √ √ √ √ √ √Birth weight, grams √ √ √ √ √ √Placental weight, grams √ √ √ X √ √Gender of index child √ √ √ √ √ √Caeserean section delivery √ √ √ √ √ √Length at birth, cm √ √ √ X √ √Head circumference at birth, cm √ √ √ √ √ √Congential abnormality √ √ √ √ √ √Breastfeeding √ √ √ X ? √First born √ √ √ √ √ √
X = data not collected
Focus on additional variables
VARIABLE ALSPAC CPP DNBC JPS MoBa TIHSPrenatal folic acid supplementation √ X √ X √ √Previous fetal loss √ √ √ √ √ XAny child infections √ √ ? ? ? √Use of paid childcare √ X √ X √ √Pesticide expsoure √ X √ X √ X
X = data not collected ? = still being worked on
Cleaning and harmonizing of data on previous fetal loss required over 4 months of work to verify data and document the decisions made
New exposure data
Next steps• Incorporate additional cases of CC from updated linkages to
cancer registries (e.g. MoBa) or new cohorts
• Create new datasets for analysis of other hypotheses to be examined : Parity and birth order Previous fetal loss Parental age
• Identify what data is available on exposures relating to new areas of interest such as infections
Web-based Data Pooling Application at IDCC
(developed by Luke Stevens)
Data Pooling Application• MCRI’s secure e-Research
portal• Restricted access
• I4C team only • Can restrict user access at dataset
level
• Ongoing development
Data Pooling Application• Run a query• Select variables to download• Select from any dataset• Database joins the datasets
returning a combined data file
Data Pooling Application• Select variables to download• Select from any dataset• Database joins the datasets
returning a combined data file
Data Pooling Application
• Edit or Save your query• Download
– Raw data file
Information on I4C• NIH/NCI- I4C portalhttps://communities.nci.nih.gov/i4c/default.aspx
• MCRI- websitehttp://www.mcri.edu.au/research/international-partnerships-collaborations/
i4c
• National Children’s Study websitehttp://www.nationalchildrensstudy.gov/research/internationalinvolvement/
pages/default.aspx
Many thanks to ...• MCRI Terry Dwyer Luke Stevens Karen Lamb
• ALSPAC Jean Golding Kate Northstone
• CPP Mark Klebanoff Logan Spector
• NIH/NCI Martha Linet Somdat Mahabir
• DNBC Sjurdur Olsen Jorn Olsen Marin Ström Charlotta Granström
• JPS Ora Paltiel Elena Polanker
• MoBa Camilla Stoltenberg Siri Eldevik Håberg Therese Bakke