Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia

Borderline personality disorder (BOR) is determined by environmental and genetic factors, and characterized by affective instability and impulsivity, diagnostic symptoms also observed in manic phases of bipolar disorder (BIP). Up to 20% of BIP patients show comorbidity with BOR. This report describes the first case-control genome-wide association study (GWAS) of BOR, performed in one of the largest BOR patient samples worldwide. The focus of our analysis was (i) to detect genes and gene sets involved in BOR and (ii) to investigate the genetic overlap with BIP. As there is considerable genetic overlap between BIP, major depression (MDD) and schizophrenia (SCZ) and a high comorbidity of BOR and MDD, we also analyzed the genetic overlap of BOR with SCZ and MDD. GWAS, gene-based tests and gene-set analyses were performed in 998 BOR patients and 1545 controls. Linkage disequilibrium score regression was used to detect the genetic overlap between BOR and these disorders. Single marker analysis revealed no significant association after correction for multiple testing. Gene-based analysis yielded two significant genes: DPYD (P=4.42 × 10-7) and PKP4 (P=8.67 × 10-7); and gene-set analysis yielded a significant finding for exocytosis (GO:0006887, PFDR=0.019; FDR, false discovery rate). Prior studies have implicated DPYD, PKP4 and exocytosis in BIP and SCZ. The most notable finding of the present study was the genetic overlap of BOR with BIP (rg=0.28 [P=2.99 × 10-3]), SCZ (rg=0.34 [P=4.37 × 10-5]) and MDD (rg=0.57 [P=1.04 × 10-3]). We believe our study is the first to demonstrate that BOR overlaps with BIP, MDD and SCZ on the genetic level. Whether this is confined to transdiagnostic clinical symptoms should be examined in future studies.

Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder

Bipolar disorder (BD) is a severe and highly heritable neuropsychiatric disorder with a lifetime prevalence of 1%. Molecular genetic studies have identified the first BD susceptibility genes. However, the disease pathways remain largely unknown. Accumulating evidence suggests that microRNAs, a class of small noncoding RNAs, contribute to basic mechanisms underlying brain development and plasticity, suggesting their possible involvement in the pathogenesis of several psychiatric disorders, including BD. In the present study, gene-based analyses were performed for all known autosomal microRNAs using the largest genome-wide association data set of BD to date (9747 patients and 14 278 controls). Associated and brain-expressed microRNAs were then investigated in target gene and pathway analyses. Functional analyses of miR-499 and miR-708 were performed in rat hippocampal neurons. Ninety-eight of the six hundred nine investigated microRNAs showed nominally significant P-values, suggesting that BD-associated microRNAs might be enriched within known microRNA loci. After correction for multiple testing, nine microRNAs showed a significant association with BD. The most promising were miR-499, miR-708 and miR-1908. Target gene and pathway analyses revealed 18 significant canonical pathways, including brain development and neuron projection. For miR-499, four Bonferroni-corrected significant target genes were identified, including the genome-wide risk gene for psychiatric disorder CACNB2. First results of functional analyses in rat hippocampal neurons neither revealed nor excluded a major contribution of miR-499 or miR-708 to dendritic spine morphogenesis. The present results suggest that research is warranted to elucidate the precise involvement of microRNAs and their downstream pathways in BD.

Bipolar and Unipolar Major Depression are not Associated with the P2RX7-gene (SNP rs2230912) in an European Case-control Sample

Background:

In two recent studies the SNP rs2230912 (Gln460Arg) located in exon 13 of P2RX7-gene (chromosome 12q24) provided the strongest evidence of association with bipolar disorder (BP) (Barden et al,2006; McQuillin et al, 2008) and in one study with the unipolar major depression (Mdd-UP) ( Lucae et al, 2006).

Objective:

In the present study we investigated the involvement of the SNP rs2230912 in BPI in four European samples from Germany, Poland, Romania and Russia and in the combined sample (N=1445) in comparison with a combined sample of 2006 normal controls. Additionally, a Mdd-UP sample (N=640) from Germany was studied.

Method:

All patients were diagnosed according to DSM-IV-R. The BPI sample consisted of 802 females (55.5%) and 643 males (44.5%); the mean AO was 26.9 (SD=10.6); the mean age-at-interview was 42.7 (SD=12.5). The control sample had a mean age of 39.74 (SD=11.22) [1113 females (55.5%); 893 males (44.5%)]. Genotyping of all national samples was performed at Bonn University using the Mass ARRAY system on a Sequenom Compact MALDI-TOF-device. The single marker analysis was performed with FAMHAP software.

Results:

There was no allelic association between the G-allele of the SNP rs2230912 and either BPI or Mdd-UP both in the national samples and in the combined sample. The genotypic analysis also indicated no significant results. Our samples of patients and controls had genotypic distributions similar to those of the previously published studies and even in these studies there were no significant differences in genotype frequencies between BPI patients and controls.

Polymorphism of the glycogen synthase gene and non-insulin-dependent diabetes mellitus in the Russian population

Recently, a polymorphism in the glycogen synthase gene was shown to be associated with the development of non-insulin-dependent diabetes mellitus (NIDDM) and identified patients with a strong family history of diabetes and hypertension in the Finnish population. However, no association was found in French and Japanese populations. We investigated the possible association between the XbaI polymorphism of the glycogen synthase gene and NIDDM in the Russian population. One hundred fifty NIDDM patients and 109 healthy controls were studied. In 16 of 150 Russian NIDDM patients (10.7%), the XbaI polymorphism was found, and 17 of 109 controls (15.6%) showed the XbaI polymorphism (P > .05). These results suggest that the XbaI polymorphism of the glycogen synthase gene cannot be used as a marker for NIDDM in the Russian population.

Polymorphism of the glucagon receptor gene and non-insulin-dependent diabetes mellitus in the Russian population

Recently, a missense mutation in the glucagon receptor (GCG-R) gene causing a Gly to Ser change at codon 40 (Gly40Ser) has been associated and linked with non-insulin-dependent diabetes mellitus (NIDDM). We screened 150 unrelated NIDDM patients and 109 non-diabetic subjects for the presence of the Gly40Ser polymorphism by use of polymerase chain reaction-restriction fragment length polymorphism in the Russian population. None of the NIDDM patients showed this polymorphism. In contrast, two of the control subjects were heterozygous carriers of the polymorphism. Both were healthy females without a family history of diabetes. The body mass index, age, and 2-h blood glucose levels of the two subjects with the polymorphism were similar to those of the control subjects homozygous for the wild-type. Our results suggest that Gly40Ser polymorphism of the GCG-R gene is not associated with NIDDM in the Russian population and point to the genetic heterogeneity of NIDDM in different ethnic groups.

Comparison of the pharmacodynamic effects of deflazacort and prednisolone in healthy subjects

OBJECTIVE

Deflazacort, a synthetic oxazoline derivative of prednisolone, has been suggested as having major advantages over other glucocorticoids, as it is claimed to cause fewer adverse effects at equivalent antiinflammatory potency. The assumed equipotency ratio of deflazacort versus other glucocorticoids is critical for this assumption.

METHODS

In a randomized cross-over study we compared the acute effects of deflazacort and prednisolone on serum cortisol, osteocalcin, insulin and blood cells (eosinophils and lymphocytes) in normal subjects. On seven occasions separated by a wash out period > or = 1 week all participants received placebo, prednisolone (8 mg, 20 mg, 40 mg) and deflazacort (12 mg, 30 mg, 60 mg). The medication was given orally at 20.00 h as a single dose. Blood was collected at 8.00 h before and after each medication. Log (dose) response relationships were calculated and were used to compare the drugs.

RESULTS

The following equipotent dose ratios (mg deflazacort: mg prednisolone) were found: osteocalcin suppression 1.54, cortisol suppression 2.27, suppression of eosinophils 1.14 and lymphocytes 2.77. As parallelism between regression curves was rejected, equipotency could not be calculated for insulin. In 3 subjects even the highest dose of deflazacort failed to suppress serum cortisol.

CONCLUSION

Our study highlights the difficulties of establishing equipotency ratios for glucocorticoids. It casts doubts on the generally assumed equipotency dose ratio of deflazacort vs prednisolone, as both for cortisol and lymphocytes the 95% CI was > 1.2. Thus, reduced adverse effects during deflazacort therapy may be a consequence of lower effective glucocorticoid dosage.