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Introduction: Human leukocyte antigen (HLA) polymorphism studies in Systemic Sclerosis (SSc) have yielded variable results. These studies need to consider the genetic admixture of the studied population. Here we used our previously reported definition of genetic admixture of Mexicans using HLA class I and II DNA blocks to map genetic susceptibility to develop SSc and its complications. Methods: We included 159 patients from a cohort of Mexican Mestizo SSc patients. We performed clinical evaluation, obtained SSc-associated antibodies, and determined HLA class I and class II alleles using sequence-based, high-resolution techniques to evaluate the contribution of these genes to SSc susceptibility, their correlation with the clinical and autoantibody profile and the prevalence of Amerindian, Caucasian and African alleles, blocks and haplotypes in this population. Results: Our study revealed that class I block HLA-C*12:03-B*18:01 was important to map susceptibility to diffuse cutaneous (dc) SSc, HLA-C*07:01-B*08:01 block to map the susceptibility role of HLA-B*08:01 to develop SSc, and the C*07:02-B*39:05 and C*07:02-B*39:06 blocks to map the protective role of C*07:02 in SSc. We also confirmed previous associations of HLA-DRB1*11:04 and –DRB1*01 to susceptibility to develop SSc. Importantly, we mapped the protective role of DQB1*03:01 using three Amerindian blocks. We also found a significant association for the presence of anti-Topoisomerase I antibody with HLA-DQB1*04:02, present in an Amerindian block (DRB1*08:02-DQB1*04:02), and we found several alleles associated to internal organ damage. The admixture estimations revealed a lower proportion of the Amerindian genetic component among SSc patients. Conclusion: This is the first report of the diversity of HLA class I and II alleles and haplotypes Mexican patients with SSc. Our findings suggest that HLA class I and class II genes contribute to the protection and susceptibility to develop SSc and its different clinical presentations as well as different autoantibody profiles in Mexicans. [ABSTRACT FROM AUTHOR]

Objective. Cardiac involvement in SSc is characterized by myocardial fibrosis, arrhythmias and pericarditis. Prevalence studies have shown variable results. The objective of this study was to determine the prevalence of cardiac involvement in SSc patients using the non-invasive, highly sensitive diagnostic methods of cardiac MRI and coronary angiotomography. Methods. We included 62 SSc patients and excluded those with heart disease prior to the onset of SSc, renal failure, diabetes mellitus, hyperlipidaemia, arterial hypertension, untreated thyroid disease, cor pulmonale, pregnancy or contraindications to performing cardiac MRI. All underwent clinical and laboratory evaluation, ECG, coronary angiotomography and cardiac MRI. Results. The prevalence of myocardial fibrosis was 45% and was higher in dcSSc (59%) than in lcSSc patients (33%; P = 0.04). The mean left ventricular ejection fraction (LVEF) was lower in patients with myocardial fibrosis (56%) than in those without fibrosis (63%; P = 0.0009); myocardial fibrosis on MRI was more frequent in the basal-septal segments of the LV. Seventy-nine per cent of patients had subendocardial perfusion defects and these were associated with higher ultrasensitive serum CRP values. There was no association of myocardial fibrosis or microvascular damage with atherosclerosis. Conclusion. The prevalence of myocardial fibrosis on MRI attributable to SSc is 45%, is more frequent and severe in dcSSc patients, is associated with lower LVEF and affects mainly basal LV walls. Microvascular damage in SSc is common and is associated with elevated ultrasensitive CRP levels. Cardiac damage due to SSc is not associated with coronary artery disease. [ABSTRACT FROM AUTHOR]

Objective. Premature atherosclerosis in patients with SLE is partially explained by traditional risk factors; therefore, we aimed to identify lupus-related risk factors for coronary artery calcifications.Methods. An inception cohort of 139 lupus patients (93% females) was screened for coronary artery calcifications using Multidetector CT, after 5.1 years of follow-up. Clinical and immunological variables and cardiovascular risk factors were assessed longitudinally. Also, 100 age- and sex-matched healthy subjects were studied. Correlates for calcifications were analysed in lupus patients, including levels of lipids and inflammatory molecules in samples obtained at enrolment, mid-term follow-up and at screening.Results. At enrolment, lupus patients were 27.2 (9.1) years of age and with a disease duration of 5.4 (3.8) months. Calcifications were detected in 7.2% of patients and 1% of controls [unadjusted odds ratio (OR) 7.7, 95% CI 1.05, 336.3, P = 0.02]. In lupus, calcifications were detected since the age of 23 years and from 3 years of diagnosis. Patients with calcifications were older, post-menopausal, and had higher levels of serum apolipoprotein B and Framingham risk scores (P < 0.05). Lupus-related factors identified included age at diagnosis, IgG aCLs, cumulative lupus activity, length of moderate/severe activity and cumulative dose of prednisone and CYC (P < 0.05). Use of anti-malarials was protective (P = 0.006). Logistic regression analysis showed as predictors of calcification: disease duration (OR 15.1, 95% CI 2.6, 87.2), age at enrolment (OR 8.5, 95% CI 1.7, 43.0) and SLEDAI 2000 update (SLEDAI-2K) mean area under the curve (OR 12.3, 95% CI 2.5, 61.8). Longitudinal analyses of lipids and inflammatory molecules did not differ between patients.Conclusions. Disease activity is a potentially modifiable risk factor for coronary artery calcifications in SLE. Therefore, management of traditional risk factors plus tight control of lupus activity, including the use of anti-malarials, is recommended. [ABSTRACT FROM PUBLISHER]

Systemic sclerosis (SSc) shows variable clinical expression among different ethnic groups. Herein, we describe the clinical features, prevalence of organ involvement, and autoantibody profile in Mexican Mestizo SSc patients and we compare them with patients from other ethnic groups.We included 139 SSc patients. They underwent clinical evaluation and were tested for antinuclear antibodies (ANA), anticentromere antibodies (ACA), anti-topoisomerase I, anti-RNA polymerase III, anti-U1 RNP, anti-U3 RNP, anti-U11/U12 RNP, anti-Th/To, anti-PM-Scl, anti-Ku, antinucleosome, anti-double-stranded DNA (dsDNA), anti-Sm, anti-SSA, and anti-SSB antibodies. Female predominance (93.5%) was noted; 56.8% of patients had limited cutaneous SSc; 91% had peripheral vascular involvement; 70% had joint involvement; 27% had musculoskeletal damage; 66% had gastrointestinal involvement; 41% had interstitial lung disease; 32% had pulmonary arterial hypertension (PAH); 11% had cardiac involvement; and in 1.4% renal involvement was observed. Our patients showed lower frequency of renal crisis and higher frequency of PAH than patients from other ethnic groups; also they showed higher frequency of ACA than Japanese and African American patients, higher frequency of anti-topoisomerase I than Caucasian and African American patients, higher frequency of anti-PM-Scl and anti-Ku and lower frequency of anti-RNA Pol III than the other ethnic groups. High frequencies of antinucleosome (41%) and anti-dsDNA (63%) were identified. SSc-specific autoantibody frequencies are different in our patients and in those from other ethnic groups; associations of autoantibodies with clinical manifestations are confirmed in our patients. Ethnicity and the interaction of gene and environmental factors may influence the clinical picture and autoantibody profile in SSc patients. [ABSTRACT FROM AUTHOR]

We previously identified bipolar disorder (BD) susceptibility loci on 8q24, 14q32, and 2q12-14 in a genome-wide nonparametric linkage screen in a Latino cohort. We now perform a fine mapping analysis using a dense map of additional SNPs to identify BD susceptibility genes within these regions. One thousand nine hundred and thirty-eight individuals with Latino ancestry (880 individuals with BD Type I or Schizoaffective, Bipolar Type) from 416 Latino pedigrees from the United States, Mexico, Costa Rica, and Guatemala were genotyped with 3,074 SNPs to provide dense coverage of the 8q24 (11.5 cM), 14q32 (7.5 cM), and 2q12-14 (6.5 cM) chromosomal loci. Single-marker association tests in the presence of linkage were performed using the LAMP software. The top linkage peak (rs7834818; LOD = 5.08, p = 3.30E - 5) and associated single marker (rs2280915, p = 2.70E - 12) were located within FBXO32 on 8q24. On chromosome 2, the top linkage peak (rs6750326; LOD = 5.06, p = 3.50E - 5) and associated single marker (rs11887088, p = 2.90E - 6) were located in intragenic regions near ACTR3 and DPP10. None of the additional markers in the region around chromosome 14q32 met significance levels for linkage or association. We identified six SNPs on 2q12-q14 and one SNP in FBXO32 on 8q24 that were significantly associated with BD in this Latino cohort., (© 2019 Wiley Periodicals, Inc.)

Objectives: Recent genome-wide association studies (GWASs) have identified numerous putative genetic polymorphisms associated with bipolar disorder (BD) and/or schizophrenia (SC). We hypothesized that a portion of these polymorphisms would also be associated with BD in the Latino American population. To identify such regions, we tested previously identified genetic variants associated with BD and/or SC and ancestral haploblocks containing these single nucleotide polymorphisms (SNPs) in a sample of Latino subjects with BD., Methods: A total of 2254 Latino individuals were genotyped for 91 SNPs identified in previous BD and/or SC GWASs, along with selected SNPs in strong linkage disequilibrium with these markers. Family-based single marker and haplotype association testing was performed using the PBAT software package. Empirical P-values were derived from 10 000 permutations., Results: Associations of eight a priori GWAS SNPs with BD were replicated with nominal (P≤.05) levels of significance. These included SNPs within nuclear factor I A (NFIA), serologically defined colon cancer antigen 8 (SDCCAG8), lysosomal associated membrane protein 3 (LAMP3), nuclear factor kappa B subunit 1 (NFKB1), major histocompatibility complex, class I, B (HLA-B) and 5'-nucleotidase, cytosolic II (NT5C2) and SNPs within intragenic regions microRNA 6828 (MIR6828)-solute carrier family 7 member 14 (SLC7A14) and sonic hedgehog (SHH)-long intergenic non-protein coding RNA 1006 (LINC01006). Of the 76 ancestral haploblocks that were tested for associations with BD, our top associated haploblock was located in LAMP3; however, the association did not meet statistical thresholds of significance following Bonferroni correction., Conclusions: These results indicate that some of the gene variants found to be associated with BD or SC in other populations are also associated with BD risk in Latinos. Variants in six genes and two intragenic regions were associated with BD in our Latino sample and provide additional evidence for overlap in genetic risk between SC and BD., (© 2016 The Authors Bipolar Disorders Published by John Wiley & Sons Ltd.)

Objectives:   Through recent genome-wide association studies (GWASs), several groups have reported significant association between variants in the calcium channel, voltage-dependent, L-type, alpha 1C subunit (CACNA1C) and bipolar disorder (BP) in European and European-American cohorts. We performed a family-based association study to determine whether CACNA1C is associated with BP in the Latino population., Methods:   This study included 913 individuals from 215 Latino pedigrees recruited from the USA, Mexico, Guatemala, and Costa Rica. The Illumina GoldenGate Genotyping Assay was used to genotype 58 single-nucleotide polymorphisms (SNPs) that spanned a 602.9-kb region encompassing the CACNA1C gene including two SNPs (rs7297582 and rs1006737) previously shown to associate with BP. Individual SNP and haplotype association analyses were performed using Family-Based Association Test (version 2.0.3) and Haploview (version 4.2) software., Results:   An eight-locus haplotype block that included these two markers showed significant association with BP (global marker permuted p = 0.0018) in the Latino population. For individual SNPs, this sample had insufficient power (10%) to detect associations with SNPs with minor effect (odds ratio = 1.15)., Conclusions:   Although we were not able to replicate findings of association between individual CACNA1C SNPs rs7297582 and rs1006737 and BP, we were able to replicate the GWAS signal reported for CACNA1C through a haplotype analysis that encompassed these previously reported significant SNPs. These results provide additional evidence that CACNA1C is associated with BP and provides the first evidence that variations in this gene might play a role in the pathogenesis of this disorder in the Latino population., (© 2013 John Wiley & Sons A/S. Published by Blackwell Publishing Ltd.)

We determined the rates of agreement between diagnoses, using the Diagnostic Interview for Genetic Studies (DIGS) and diagnoses arrived at, using additional sources of information, to establish whether there are differences in agreement between direct interview diagnoses at US and non-US sites in comparison best estimate consensus process and to identify diagnoses that could increase diagnostic error when only the DIGS is used. DIGS diagnoses were compared with consensus diagnoses that used the same DIGS interview, plus Family Interview for Genetic Studies (FIGS) and review of medical records in 342 psychotic subjects. We found similar numbers of subjects diagnosed with schizophrenia (225 by direct interview, and 232 by consensus process). The majority of those "misdiagnosed" by direct interview had mood disorder by the consensus. Over 10% of the total subjects diagnosed by direct interview as not meeting criteria for schizophrenia had schizophrenia by consensus. There were no statistically significant differences between countries (US vs. non-US sites) in the agreement rate between direct interview diagnosis and consensus diagnosis. In conclusion, a final best-estimate process is essential to make diagnostic distinctions and to reduce diagnostic misclassifications for both research studies and in clinical practice.