D. Q. Ma
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
D. Salyakina
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
J. M. Jaworski
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
I. Konidari
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
P. L. Whitehead
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
S. H. Slifer
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
D. J. Hedges
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
H. N. Cukier
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
J. L. McCauley
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
G. W. Beecham
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
H. H. Wright
,
Neuropsychiatry and Behavioral Sciences, University of South Carolina School of Medicine, Columbia, SC
R. K. Abramson
,
Neuropsychiatry and Behavioral Sciences, University of South Carolina School of Medicine, Columbia, SC
E. R. Martin
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
J. P. Hussman
,
Hussman Foundation, Ellicott City, MD
J. R. Gilbert
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
M. L. Cuccaro
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
J. Haines
,
Center for Human Genetics Research, Vanderbilt University, Nashville, TN
M. A. Pericak-Vance
,
Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL
Background: Autism is one of the most heritable neuropsychiatric disorders. However, its underlying genetic architecture has largely eluded description.
Objectives: To comprehensively examine the hypothesis that common variation is important in autism
Methods: We performed a genome-wide association study (GWAS) using a discovery dataset of 438 autistic Caucasian families genotyped on the Illumina Human 1M beadchip and validated the results using a publicly available GWAS dataset genotyped on 487 Caucasian autism families using the 550K Illumina beadchip.
Results: 96 single nucleotide polymorphisms (SNPs) demonstrated strong association with autism risk (p-value < 0.0001). 62 out of the top 96 SNPs were genotyped in the validation dataset. A novel region on chromosome 5p14.1 (25,830-26,100kb) appeared to be the only region being validated with a cluster of 3 SNPs (p [0.01, 0.04]). This encouraged us to have a closer investigation into this region. A further joint analysis of 46 SNPs genotyped on both datasets identified over 9 SNPs having more significant p-values (0.002 to 4.17E-6) than in either dataset alone. The examination in this region shows numerous sequence segments exhibiting a high degree of evolutionary conservation. In addition, there are three CNVs in proximity of the most significant SNPs. Although the immediate 1 Mb vicinity of the association region contains no known genes or candidates, flanking the region are CDH9 and CDH10, two genes that belong to the cadherin family, a group of proteins containing members that are involved in calcium-dependent cell-cell junctions in the nervous system and possible targets of regulatory action. The exhaustive molecular analysis is ongoing (see Griswold et al., this meeting).
Conclusions: Our findings demonstrate that in addition to multiple rare variations, part of the complex genetic architecture of autism involves common variation.