A Genome-Wide Association Study of Social and Non-Social Autistic-Like Traits in the General Population Using Pooled DNA, 500 K SNP Microarrays and Both Community and Diagnosed Autism Replication Samples

Angelica Ronald, Lee M. Butcher, Sophia Docherty, Oliver S. P. Davis, Leonard C. Schalkwyk, Ian W. Craig, Robert Plomin

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)
159 Downloads (Pure)

Abstract

Two separate genome-wide association studies were conducted to identify single nucleotide polymorphisms (SNPs) associated with social and nonsocial autistic-like traits. We predicted that we would find SNPs associated with social and non-social autistic-like traits and that different SNPs would be associated with social and nonsocial. In Stage 1, each study screened for allele frequency differences in similar to 430,000 autosomal SNPs using pooled DNA on microarrays in high-scoring versus low-scoring boys from a general population sample (N = similar to 400/group). In Stage 2, 22 and 20 SNPs in the social and non-social studies, respectively, were tested for QTL association by individually genotyping an independent community sample of 1,400 boys. One SNP (rs11894053) was nominally associated (P <.05, uncorrected for multiple testing) with social autistic-like traits. When the sample was increased by adding females, 2 additional SNPs were nominally significant (P <.05). These 3 SNPs, however, showed no significant association in transmission disequilibrium analyses of diagnosed ASD families.
Original languageEnglish
Pages (from-to)31 - 45
Number of pages15
JournalBehavior Genetics
Volume40
Issue number1
DOIs
Publication statusPublished - Jan 2010

Keywords

  • Autistic traits
  • Genome-wide association
  • Autism
  • Microarrays
  • Heritability
  • Pooling

Fingerprint

Dive into the research topics of 'A Genome-Wide Association Study of Social and Non-Social Autistic-Like Traits in the General Population Using Pooled DNA, 500 K SNP Microarrays and Both Community and Diagnosed Autism Replication Samples'. Together they form a unique fingerprint.

Cite this