Background: Alternation of synaptic homeostasis is a biological process whose disruption might predispose children to autism spectrum disorders (ASD). Calcium channel genes (CCG) contribute to modulating neuronal function and evidence implicating CCG in ASD has been accumulating. We conducted a targeted association analysis of CCG using existing genome-wide association study (GWAS) data and imputation methods in a combined sample of parent/affected child trios from two ASD family collections to explore this hypothesis. Methods: A total of 2,176 single-nucleotide polymorphisms (SNP) (703 genotyped and 1,473 imputed) covering the genes that encode the α₁ subunit proteins of 10 calcium channels were tested for association with ASD in a combined sample of 2,781 parent/affected child trios from 543 multiplex Caucasian ASD families from the Autism Genetics Resource Exchange (AGRE) and 1,651 multiplex and simplex Caucasian ASD families from the Autism Genome Project (AGP). SNP imputation using IMPUTE2 and a combined reference panel from the HapMap3 and the 1,000 Genomes Project increased coverage density of the CCG. Family-based association was tested using the FBAT software which controls for population stratification and accounts for the non-independence of siblings within multiplex families. The level of significance for association was set at 2.3E-05, providing a Bonferroni correction for this targeted 10-gene panel. Results: Four SNPs in three CCGs were associated with ASD. One, rs10848653, is located in CACNA1C, a gene in which rare de novo mutations are responsible for Timothy syndrome, a Mendelian disorder that features ASD. Two others, rs198538 and rs198545, located in CACN1G, and a fourth, rs5750860, located in CACNA1I, are in CCGs that encode T-type calcium channels, genes with previous ASD associations. Conclusions: These associations support a role for common CCG SNPs in ASD.

Objective To identify chromosome regions likely to harbor genes that predispose to the development of systemic lupus erythematosus (SLE) by analyzing a full genome scan in nuclear families ascertained for siblings with SLE. Methods Approximately 400 multiallelic markers spaced an average of 10 cM apart were genotyped in a multiethnic panel of 238 individuals from 62 multiplex SLE families having 88 affected sibling pairs and 456 total sibling pairs. Findings were analyzed by 2 model-free statistical linkage procedures. Results Evidence supporting linkage to 4 previously reported (1q23, 2q33, 16q12–13, and 17q21–23) and 4 novel (3p24, 10q23–24, 13q32, and 18q22–23) chromosome regions was revealed. Stratification by family ethnicity indicated that linkage to 3 regions, 2q33, 10q23–24, and 18q22–23, was derived primarily from the Caucasian families, while linkage to 17q21–23 was seen primarily in the non-Caucasian families. Conclusion Linkage to the same chromosome regions in independent cohorts is a critical step in finding the genes that predispose to a complex disorder such as SLE. Four linked regions also seen in independent SLE cohorts lend credibility to the 4 novel regions identified by these analyses. Substantial linkage information was gleaned by genotyping and analyzing the unaffected siblings. These results provide additional evidence that the SLE clinical phenotype is genetically complex, multigenic, and heterogeneous.

Objective Six recent genome scans of different systemic lupus erythematosus (SLE) multiplex family cohorts showed multiple putative susceptibility loci. In the present study, we examined 4 previously identified loci to replicate findings of significant linkage to 1q23 and 16q12, and to support findings of suggestive linkage to 14q21‐23 and 20p12 in a cohort of 115 multiethnic nuclear families containing 145 SLE‐affected sibpairs. Methods Model‐free, multipoint linkage analyses (SIBPAL2, SAGE version 4.0) and exclusion mapping (GeneHunter) were performed. Results Linkages to 1q23 (peak at D1S2675, mean allele sharing [MAS] 0.56; P = 0.003) and to 16q12 (peaks between D16S753 and D16S757, MAS 0.57; P = 0.003) were confirmed, but linkage evidence at 20p12 was weak and inconsistent (MAS 0.52–0.56; from P = 0.005 to P not significant). Evidence for linkage to 1q23 and 16q12 was stronger in 68 non‐Caucasian affected sibpairs than in 77 Caucasian affected sibpairs. Exclusion mapping ruled out linkage at 14q21‐23 (λ_s [sib recurrence risk or genotypic risk ratio] = 1.8). Because the pericentromeric region of chromosome 16 has been identified by genome scans in several autoimmune diseases, we postulated that it might harbor an autoimmune modifier gene. To explore this possibility, we tested for an interaction between 16q12 and 1q23, and between 16q12 and 20p12. Haplotype sharing at 1q23 increased concomitantly with increased haplotype sharing at 16q12 (P = 0.008 by nonparametric Jonckheere‐Terpstra exact statistical test). No evidence supporting an interaction between 16q12 and 20p12 was observed. Analysis of sibpairs sharing 2 alleles at 16q12 also showed increased allele sharing at 1q23 (MAS from 0.56 to 0.65). Conclusion These data support the presence of SLE susceptibility genes at 1q23 and 16q12, particularly in non‐Caucasians. The skewed distribution of haplotypes suggests that genetic interaction of these two loci may affect SLE susceptibility.

MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression by targeting specific mRNA species for degradation or interfering with translation. Specific miRNAs are key regulators of adipogenesis, and are expressed at different levels in adipose tissue from lean and obese mice. The degree of lipid accumulation and distribution of white adipose tissue differs between males and females, and it is unknown whether sex differences in adipose tissue-specific miRNA expression may contribute to this dimorphism. Typically, sex differences are attributed to hormones secreted from ovaries or testes. However, the sex chromosome complement (XX versus XY) is also a determinant of sex differences and may regulate miRNA expression in adipocytes. To identify sex differences in adipose tissue miRNA expression and to understand the underlying mechanisms, we performed high-throughput miRNA sequencing in gonadal fat depots of the Four Core Genotypes mouse model. This model, which consists of XX female, XX male, XY female, and XY male mice, allowed us to assess independent effects of gonadal type (male vs. female) and sex chromosome complement (XX vs. XY) on miRNA expression profiles. We have also assessed the effects of a high fat diet on sex differences in adipose tissue miRNA profiles. We identified a male–female effect on the overall miRNA expression profile in mice fed a chow diet, with a bias toward higher expression in male compared to female gonadal adipose tissue. This sex bias disappeared after gonadectomy, suggesting that circulating levels of gonadal secretions modulate the miRNA expression profile. After 16 weeks of high fat diet, the miRNA expression distribution was shifted toward higher expression in XY vs. XX adipose tissue. Principal component analysis revealed that high fat diet has a substantial effect on miRNA profile variance, while gonadal secretions and sex chromosome complement each have milder effects. Our results demonstrate that the overall miRNA expression profile in adipose tissue is influenced by gonadal hormones and the sex chromosome complement, and that expression profiles change in response to gonadectomy and high fat diet. Differential miRNA expression profiles may contribute to sex differences in adipose tissue gene expression, adipose tissue development, and diet-induced obesity.