Abstract

BackgroundAutism spectrum disorders (ASDs) are male-biased and genetically heterogeneous. While sequencing of sporadic cases has identified de novo risk variants, the heritable genetic contribution and mechanisms driving the male bias are less understood. Here, we aimed to identify familial and sex-differential risk loci in the largest available, uniformly ascertained, densely genotyped sample of multiplex ASD families from the Autism Genetics Resource Exchange (AGRE), and to compare results with earlier findings from AGRE.MethodsFrom a total sample of 1,008 multiplex families, we performed genome-wide, non-parametric linkage analysis in a discovery sample of 847 families, and separately on subsets of families with only male, affected children (male-only, MO) or with at least one female, affected child (female-containing, FC). Loci showing evidence for suggestive linkage (logarithm of odds ≥2.2) in this discovery sample, or in previous AGRE samples, were re-evaluated in an extension study utilizing all 1,008 available families. For regions with genome-wide significant linkage signal in the discovery stage, those families not included in the corresponding discovery sample were then evaluated for independent replication of linkage. Association testing of common single nucleotide polymorphisms (SNPs) was also performed within suggestive linkage regions.ResultsWe observed an independent replication of previously observed linkage at chromosome 20p13 (P < 0.01), while loci at 6q27 and 8q13.2 showed suggestive linkage in our extended sample. Suggestive sex-differential linkage was observed at 1p31.3 (MO), 8p21.2 (FC), and 8p12 (FC) in our discovery sample, and the MO signal at 1p31.3 was supported in our expanded sample. No sex-differential signals met replication criteria, and no common SNPs were significantly associated with ASD within any identified linkage regions.ConclusionsWith few exceptions, analyses of subsets of families from the AGRE cohort identify different risk loci, consistent with extreme locus heterogeneity in ASD. Large samples appear to yield more consistent results, and sex-stratified analyses facilitate the identification of sex-differential risk loci, suggesting that linkage analyses in large cohorts are useful for identifying heritable risk loci. Additional work, such as targeted re-sequencing, is needed to identify the specific variants within these loci that are responsible for increasing ASD risk.

Highlights

  • Autism spectrum disorders (ASDs) are male-biased and genetically heterogeneous

  • By testing the largest available, uniformly ascertained ASD family sample (n = 1,008 multiplex families) for linkage, we aimed to identify novel ASD risk loci not identified by the previous, smaller analyses of Autism Genetics Resource Exchange (AGRE) samples, and/or to confirm the loci reported by these analyses

  • Linkage in all families Non-parametric, genome-wide linkage analysis for ASD affection status in all stage 1 multiplex families (n = 847) identified four genomic regions with a peak logarithm of odds (LOD) score ≥2.2 (Table 1, Figure 2), the threshold for suggestive linkage for a complex trait when allele sharing is tested in sibling pairs [43]

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Summary

Introduction

Autism spectrum disorders (ASDs) are male-biased and genetically heterogeneous. While sequencing of sporadic cases has identified de novo risk variants, the heritable genetic contribution and mechanisms driving the male bias are less understood. Copy number variant (CNV) and exome sequencing studies of sporadic ASD cases from single-incidence (“simplex”) families have found numerous novel, de novo risk variants [7,8,9,10,11,12,13], and no significant signal for rare inherited variation. Estimates based on these findings project that approximately 1,000 genes are likely to contribute to ASD etiology. Evidence of high heritability for ASD [14], high sibling recurrence risk [3,4], and aggregation of subthreshold ASD-like phenotypes in families [15,16,17,18] suggest that inherited genetic variation plays a significant role in ASD etiology

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