Principal Investigator: Professor Simon Baron-Cohen
Institution: University of CambridgeTags: 23787, Autism, featured, GWAS, occupation, relationships
- Aysu Okbay
- Professor Daniel Benjamin
- Professor David Cesarini
- Mr Patrick Turley
Collaborating Institutions and Addresses:
- Erasmus University Rotterdam, Applied Economics, Burgemeester Oudlaan
50, H7-28, Rotterdam 3062PA. Netherlands.
- University of Southern California, Center for Economic and Social Research,
635 Downey Way, Dauterive Hall, Suite 312, Los Angeles CA 90089-3332. United States.
- New York University, Department of Economics, 19 W 4th Street, New York
NY 10012. United States.
- Broad Institute, The Stanley Center, 75 Ames Street, Cambridge MA 02142.
United States. 1a: We aim to investigate the genetics of traits that are associated with autism including excellence in science, technology, engineering and maths, and relationships with family and friends. This will help us understand if genetic variants that contribute to autism also contribute to specific areas of talents and difficulties seen in individuals with autism. 1b: Autism is a condition affecting approximately 1% of the population. 50 – 90% of the variance in autism can be attributed to genetics, and a large fraction of that to common genetic variants. Individuals with autism have difficulties and strengths in various social and non-social domains. Understanding the genetics of these domains will help us to better understand the genetic architecture of autism, identify altered biological pathways, and, perhaps, stratify individuals within the autism spectrum to better understand and work with their specific needs and abilities. 1c: 1) We will conduct a genome-wide association study of traits related to autism such as STEM ability, social skills; 2) Using the autism data from the psychiatric genomics consortium, we will identify correlation between these traits and autism, and with other traits related to autism (such as empathy and systemizing) that we have access to; 3) In conjunction with data from NDAR and SSC, we will construct polygenic risk scores and use this to investigate if individuals within the spectrum can be clustered; 4) Heritability, pathway and tissue enrichment will be calculated. 1d: Due to the small effect sizes of the SNPs involved in these traits, we request genetic data from all the participants phenotyped. We request genetic data that will be released later on in 2016 as well. Depending on the sample size, cohort will be split into two groups. The first will be a discovery cohort, and the second will be a replication cohort. We will finally conduct a meta-analysis of both the cohorts to increase the power of the final analysis.
We aim to investigate the genetics of traits that are associated with autism including excellence in science, technology, engineering and maths, and relationships with family and friends. This will help us understand if genetic variants that contribute to autism also contribute to specific areas of talents and difficulties seen in individuals with autism.
Additionally, we aim to investigate the genetic correlates of common and rare variants implicated in autism and physical, behavioural, and mental outcomes. Examples of such research include: 1. Do polygenic scores /rare variant score for autism contribute to increased risk for certain physical health conditions (e.g. epilepsy, cancer, diabetes)?; 2. Do polygenic scores /rare variant score for autism contribute to increased risk for childhood trauma and adult mental health distress?
Last updated Feb 2, 2019