For researchers | Australian Autism Biobank

Help advance our understanding of how biological and environmental factors are linked to autistic health and wellbeing.

The Australian Autism Biobank is Australia’s largest collection of data and samples from autistic children and their families.

This page outlines how researchers can apply to use resources from the Australian Autism Biobank for approved research purposes. The Biobank includes biological samples and data (including whole genome sequencing), and behavioural, socio-economic, and health data from internationally-validated tools and questionnaires. This page contains a breakdown of participant numbers, sex and age groups, a link to the applications page, and a sample of the latest publications and resources from research projects using Biobank data and samples.

Watch the video for an overview of opportunities for autism research using the Australian Autism Biobank.

Almost 3,000 people participated in the Australian Autism Biobank.

Infographic of family with bubbles showing the the demographics of the Biobank: 1154 autistic children, 774 mothers of autistic children, 523 fathers of autistic children, 261 non-autistic siblings of autistic children, 150 non-autistic, non-related children, 15 children with unclear diagnosis.
Infographic showing the age of child participants: 33% 2-4 years, 55% 5-12 years, 12% 13-18 years
Infographic showing the sex of child participants. Autistic children were 79% male, 21% female. Non-autistic siblings were 48% male, 52% female. Non-autistic, non-related siblings were 49% male, 51% female.

Almost 3,000 people participated in the Australian Autism Biobank.

Infographic of family with bubbles showing the the demographics of the Biobank: 1154 autistic children, 774 mothers of autistic children, 523 fathers of autistic children, 261 non-autistic siblings of autistic children, 150 non-autistic, non-related children, 15 children with unclear diagnosis.

Age of child participants

Most of the children that participated were 5-12 years old.

Infographic showing the age of child participants: 33% 2-4 years, 55% 5-12 years, 12% 13-18 years

Sex of child participants

Most of the autistic children were male. The mix of male and female participants was more equal in the other groups.

Graph showing the sex. Autistic children were 79% male, 21% female. Non-autistic siblings were 48% male, 52% female. Non-autistic, non-related siblings were 49% male, 51% female.

Using the Australian Autism Biobank

All applications are considered by the Autism CRC Access Committee. You can find out how to apply, and what data and samples are available, on the application process page.

Find out how to apply

What data is available

The following tables give a brief overview of the samples availability and categories. More detailed information can be provided during the application process.

DisplayHide data and samples table

Table 1: Phenotypic data.

Category

Dataset Short name Mother* Father* Proband Sibling Control

Diagnostic Assessments

Autism Diagnostic Observation Schedule – 2 (Mod 1 -4)

ADOS

   

1125

1

 

The Developmental, Diagnostic, and Dimensional Interview

3DI

   

785

   

Cognitive Testing

Mullen Scales of Early Learning (2 – 5 yrs 11 months)

MSEL

   

419

84

85

Wechsler Intelligence Scale for Children – 4th ed (6-17 years)

WISC

   

436

151

61

Wechsler Abbreviated Scale of Intelligence – 2nd Edition

WASI-I

726

457

     

Questionnaires

Vineland Adaptive Behaviour Scales 2nd Edition

VABS

   

878

   

Family History Questionnaire

FHQ

   

1025

235

129

Child Development Questionnaire

CDQ

         

Children’s Communication Checklist

CCC

   

772

   

Communication Checklist – Adult

CCA

650

608

   

28 mothers, 26 fathers

Broad Autism Phenotype

BAP

756

738

   

115 mothers, 115 fathers

Social Responsiveness Scale

SRS

   

50

175

123

Short Sensory Profile – 2

SSP

   

713

   

Early Concerns

EAC

   

423

   

Oral Health Survey

OHS

   

153

   

Physical / dietary characteristics

Food Frequency Questionnaire (Australian Eating Survey)

FFQ

   

180

75

84

Tanner scales

TS

   

271

90

27

Clinical Proforma

CP

   

1103

252

149

Table 2: Genomic data.

Category

Dataset Short name Source Mother* Father* Proband Sibling Control

DNA related

Whole Genome Sequencing1

WGS

 

437

437

530

135

 

Genomic Wide Association Study & Single Nucleotide Polymorphism2

GWAS/SNIPS

 

752

504

887

218

116

Metagenomic2

 

Stool

   

100

50

49

Methylation2

 

Buffy coat

   

255

125

68

Polygenic scores2

PGS

     

887

217

117

  1. Illumina NovaSeq platform. Genome ref: CRch37. Library method: TruSeq DNA PCR-Free. Read: Short, 150 bp end. Total Reeds: 1000 Gpb min. Mean target Covered: 30x. Quality control tool: Plink, Peddy, Picard. Alignment tool: BWA-MEM. Variant Calling tool: DRAGEN Germline Variant. Data is available as raw (FASTQ), aligned sequences (BAM/CRAM), or variant call format (VCF).
  2. For more information about genomic data, see the genotyping summary.
Table 3: Other data.
Dataset Source Mother* Father* Proband Sibling Control

Cortisol1

Hair2

   

356

162

131

Melatonin3

Urine

   

219

   
  1. Samples were analyse using validated protocols (Bryson et al., 2020)
  2. Processed steroid samples stored in phosphate-buffered saline (PBS)
  3. Concentrations were estimated from a mix of 2 samples collected in two different times of the day using an ELISA protocol
Table 4. Biological samples.

Category

Samples Mother* Father* Proband Sibling Control

Blood

Plasma1

558

374

798

217

117

Serum2

586

394

698

218

78

Red Blood cells (RBC)

586

394

677

215

116

Whole blood

584

391

659

213

115

Nucleic Acids

DNA

584

529

659

136

0

RNA3

131

89

150

55

9

Other

Urine4

   

316

140

125

Stool5

   

215

95

78

  1. Stored in ethylenediaminetetraacetic acid (EDTA), an anticoagulant.
  2. Stored in serum-separating tubes (SST)
  3. Stored as Paxgene samples
  4. Samples stored as collected (no additives)
  5. Samples stored in RNALater to protect cellular RNA

Acknowledgements

Autism CRC would like to thank the children on the autism spectrum, their siblings and parents and other children who generously contributed their time and data/samples for the Australian Autism Biobank.

Autism CRC acknowledges and thanks the various sites and their staff who supported the establishment of the Australian Autism Biobank: Telethon Kids Institute, University of NSW, La Trobe University, Mater Medical Research Institute, Institute for Molecular Biosciences: University of Queensland, Wesley Medical Research, University of Western Australia, Pathwest and Sydney Children’s Hospital Network, Andrew Whitehouse, Dora Abbondanza, Gail Alvares, Erin Beattie, Jolene Berry, Vandhana Bharti, Grace Christou, Dominique Cleary, Paul A Dawson, Melanie De Jong, Cheryl Dissanayake, Kendra Dommisse, Valsamma Eapen, Mira Frenk, Jacob Gratten, Rachel Grove, Claire Hafekost, Maryam Haghiran, Alexis Harun, Nicole Hayes, Anjali Henders, Honey Heussler, Helen Holdsworth, Anneliese Hopkins, Anna Hunt, Rachel Jellett, Feroza Khan, Lauren Lawson, Deborah Lennon, Jodie Leslie, Anne Masi, Nisha Mathew, Tiana McLaren, Candice Michael, Melanie Muniandy, Melissa Neylan, Michaela Nothard, Brooke Peden, Mridu Radhakrishnan, Ola Rajapakse, Emma Raymond, Felicity Rose, Natalie Silove, Ashley Thomson, Leanne Wallace and Naomi Wray.

Using the Australian Autism Biobank

All applications are considered by the Autism CRC Access Committee. You can find out how to apply, and what data and samples are available, on the application process page.

Find out how to apply

View full list of publications and resources

Contact

For more information, contact the Australian Autism Biobank at biobank@autismcrc.com.au.

Acknowledgements

Autism CRC would like to thank the children on the autism spectrum, their siblings and parents and other children who generously contributed their time and data/samples for the Australian Autism Biobank.

Autism CRC acknowledges and thanks the various sites and their staff who supported the establishment of the Australian Autism Biobank: Telethon Kids Institute, University of NSW, La Trobe University, Mater Medical Research Institute, Institute for Molecular Biosciences: University of Queensland, Wesley Medical Research, University of Western Australia, Pathwest and Sydney Children’s Hospital Network, Andrew Whitehouse, Dora Abbondanza, Gail Alvares, Erin Beattie, Jolene Berry, Vandhana Bharti, Grace Christou, Dominique Cleary, Paul A Dawson, Melanie De Jong, Cheryl Dissanayake, Kendra Dommisse, Valsamma Eapen, Mira Frenk, Jacob Gratten, Rachel Grove, Claire Hafekost, Maryam Haghiran, Alexis Harun, Nicole Hayes, Anjali Henders, Honey Heussler, Helen Holdsworth, Anneliese Hopkins, Anna Hunt, Rachel Jellett, Feroza Khan, Lauren Lawson, Deborah Lennon, Jodie Leslie, Anne Masi, Nisha Mathew, Tiana McLaren, Candice Michael, Melanie Muniandy, Melissa Neylan, Michaela Nothard, Brooke Peden, Mridu Radhakrishnan, Ola Rajapakse, Emma Raymond, Felicity Rose, Natalie Silove, Ashley Thomson, Leanne Wallace and Naomi Wray.