Gender differences in CNV burden do not confound schizophrenia CNV associations.
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ABSTRACT:
SUBMITTER: Han J
PROVIDER: S-EPMC4869015 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Publications
Gender differences in CNV burden do not confound schizophrenia CNV associations.
Han Jun J Walters James T R JT Kirov George G Pocklington Andrew A Escott-Price Valentina V Owen Michael J MJ Holmans Peter P O'Donovan Michael C MC Rees Elliott E
Scientific reports 20160517
Compared with the general population, an excess of rare copy number variants (CNVs) has been identified in people with schizophrenia. Females with neurodevelopmental disorders and in the general population have been reported to carry more large, rare CNVs than males. Given that many schizophrenia datasets do not have equal gender ratios in cases and controls, sex differences in CNV burden might have impacted on estimates of case-related CNV burden and also on associations to individual loci. In ...[more]
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Project description:Male factor infertility affects about 7% of men in the general population and it can be related to a number of different etiologic factors, including genetic anomalies. Both sex chromosomes are enriched in genes prevalently or exclusively expressed in the testis. Nevertheless only the Y chromosome-linked Copy Number Variants (CNVs) and Y-linked genes have been demonstrated as important contributors to impaired sperm production in humans Data on the potential role of X-linked gene products in spermatogenesis derives mainly from model organisms. X-linked genes seem to be expressed both in pre-meiotic and post-meiotic germ cells in the mouse testis and interestingly those expressed in the post-meiotic cells belong to multicopy gene families. The apparent paucity of X-linked factors in male infertility is most likely related to the scarcity of studies, which focused only on a total of seven genes. No pathogenic mutations causing infertility have, thus far, been described in these genes, with the exception of AR gene In order to advance in the understanding of the role of X-linked CNVs and genes in male infertility, we applied an innovative approach based on high resolution X chromosome specific CGH array. Given that such a detailed analysis of the X chromosome has not been published so far and the testicular function of subjects included in the Genomic Variant Database is unknown (except for 24 X-linked CNVs reported in the recent paper by Tuttelmann), our is the first study providing a detailed analysis of X-linked losses and gains in several hundreds of subjects with known sperm parameters. The study was approved by the local Ethical Committees of the University Hospital Careggi (Italy) and the Fundacio Puigvert (Spain). All participants signed an informed consent. 96 infertile subjects with different grade of spermatogenic impairment (74 azoospermic, 6 mild oligozoospermia and 16 severe oligozoospermic men) and 103 normozoospermic men have been analyzed with aCGH. All known causes of impaired spermatogenesis have been excluded in the patients and testis histology was available for 47 men. The ethnic composition was similar in the controls and patients groups (40% Spanish and 60% Italians). A customized array-CGH platform (custom 8 x 60K, Agilent Technologies) was generated using the eArray software (http://earray.chem.agilent.com/); probes, selected from those available in the Agilent database, covered the whole X chromosome, including Xp and Xq pseudoregions, with an average resolution of 4 Kb. As a reference DNA, we used the same normozoospermic subject for the entire study population. This control DNA was already characterized for CNV content in previous array-CGH experiments against different (8) normospermic controls. In the second part of the study, we performed a case-control study on 31 selected CNVs which appeared to be specific for infertile men after the aCGH analysis. For these selected losses a total of 359 patients and 370 normozoospermic controls were studied. With regard to the gains, 270 patients and 325 controls were analyzed (further phenotypic data are provided in supplementary tables 1a-e). Deletions were analyzed by PCR plus/minus, whereas loss 31 and all the gains have been analyzed with Real Time PCR using TaqMan Copy Number Assay. CNV code Loss or Gain Region Size (kb) Start End 1a GAIN Xp22.33 224,83 1544 226372 4.A GAIN Xp22.33 237,08 153373 390452 5 GAIN Xp22.33 160,10 302644 462740 5.A GAIN Xp22.33 241,98 674222 916206 5.B LOSS Xp22.33 12,63 701071 713696 5.C GAIN Xp22.33 420,72 747358 1168080 11 GAIN Xp22.33 39,73 1347599 1387328 12 GAIN Xp22.33 17,30 1693897 1711194 12.A GAIN Xp22.33 6,61 1693897 1700511 12.B GAIN Xp22.33 683,74 1716023 2399766 14 GAIN Xp22.33 1,40 1896197 1897608 15 LOSS Xp22.33 1,40 1896197 1897608 15.A GAIN Xp22.33 27,94 2382699 2410643 15.B GAIN Xp22.33/22.32 280,09 4206493 4486580 16 LOSS Xp22.32 7,76 4250413 4258174 16.A GAIN Xp22.31 1609,42 6487238 8096662 17 LOSS Xp22.31 31,70 6594834 6626533 18 LOSS Xp22.31 82,00 6756310 6838310 19 GAIN Xp22.31 245,03 7002649 7247676 19.A GAIN Xp22.31 129,96 7961788 8091751 19.B GAIN Xp22.31 177,54 8411159 8588699 20 GAIN Xp22.2 602,10 11104518 11706614 20.A GAIN Xp22.2 665,88 14590604 15256487 20.B GAIN Xp22.13 13,34 18018894 18032238 22 LOSS Xp22.11 24,35 22969648 22993997 23 LOSS Xp21.3 6,69 25274024 25280712 24 LOSS Xp21.3 67,33 26891769 26959101 25 GAIN Xp21.3 60,40 27277529 27337933 25.A LOSS Xp21.2 9,69 31282923 31292613 25.B LOSS Xp21.1 28,26 33953232 33981492 25.C GAIN Xp21.1 185,02 34931807 35116827 25.D GAIN Xp21.1 215,00 35269628 35484626 26 GAIN Xp21.1 88,57 37168387 37256960 27 GAIN Xp21.1 9,61 37242364 37251969 30 GAIN Xp11.3 81,13 47766391 47847516 31 LOSS Xp11.3 81,13 47766391 47847516 31.A GAIN Xp11.23 78,87 48021982 48100848 32 LOSS Xp11.22 4,15 52065798 52069943 33.A LOSS Xp11.21 58,89 56403390 56462278 34.A GAIN Xp11.12 48,06 56870427 56918489 35 GAIN Xp11.1 117,14 57318438 57435573 36.A GAIN Xq11 716,03 63925948 64641977 38 GAIN Xq13.2 8,98 72202996 72211976 38.A GAIN Xq13.2 192,04 74375875 74567915 38.B GAIN Xq13.3 153,23 75123387 75276621 39 GAIN Xq21.1 21,98 76992067 77014050 40 GAIN Xq21.1 5,28 80112246 80117526 49 GAIN Xq22.1 5,30 100942190 100947490 50 LOSS Xq22.1 45,36 101803578 101848935 51 GAIN Xq22.2 34,69 103152319 103187013 53.A LOSS Xq24 170,73 118278913 118449646 54 LOSS Xq24 44,85 118281024 118325874 55 GAIN Xq24 206,90 118691020 118897917 55.A GAIN Xq25 53,80 120385787 120439584 56 LOSS Xq25 86,07 124632886 124718959 57 LOSS Xq25 188,03 124929673 125117699 58 GAIN Xq25 9,68 125143278 125152957 58.A LOSS Xq25 12,68 125198109 125210792 59.A GAIN Xq26.3 24,69 134151039 134175725 60 GAIN Xq26.3 42,30 134585636 134627936 60.A LOSS Xq26.3 50,84 134801361 134852198 60.B GAIN Xq26.3 13,45 136050422 136063872 60.C GAIN Xq26.3 91,26 137089527 137180783 60.D LOSS Xq27.1 217,83 140175103 140392930 61 LOSS Xq27.2 4,67 140773893 140778561 64 LOSS Xq27.3 3,92 143436347 143440268 66 LOSS Xq27.3 7,35 145030566 145037917 66.A LOSS Xq28 37,12 147393583 147430698 67 LOSS Xq28 5,42 148456474 148461889 68 GAIN Xq28 105,66 148686631 148792286 69 LOSS Xq28 11,77 154044877 154056645 71 LOSS Xq28 290,99 154586913 154877901 71.A LOSS Xq28 122,36 154755542 154877901
2012-10-01 | E-GEOD-37948 | biostudies-arrayexpress
Project description:Male factor infertility affects about 7% of men in the general population and it can be related to a number of different etiologic factors, including genetic anomalies. Both sex chromosomes are enriched in genes prevalently or exclusively expressed in the testis. Nevertheless only the Y chromosome-linked Copy Number Variants (CNVs) and Y-linked genes have been demonstrated as important contributors to impaired sperm production in humans Data on the potential role of X-linked gene products in spermatogenesis derives mainly from model organisms. X-linked genes seem to be expressed both in pre-meiotic and post-meiotic germ cells in the mouse testis and interestingly those expressed in the post-meiotic cells belong to multicopy gene families. The apparent paucity of X-linked factors in male infertility is most likely related to the scarcity of studies, which focused only on a total of seven genes. No pathogenic mutations causing infertility have, thus far, been described in these genes, with the exception of AR gene In order to advance in the understanding of the role of X-linked CNVs and genes in male infertility, we applied an innovative approach based on high resolution X chromosome specific CGH array. Given that such a detailed analysis of the X chromosome has not been published so far and the testicular function of subjects included in the Genomic Variant Database is unknown (except for 24 X-linked CNVs reported in the recent paper by Tuttelmann), our is the first study providing a detailed analysis of X-linked losses and gains in several hundreds of subjects with known sperm parameters.
2012-10-01 | GSE37948 | GEO
Project description:The genetic architecture of schizophrenia is complex, involving risk alleles ranging from common alleles of weak effect to rare alleles of large effect, the best exemplar of the latter being large copy number variants (CNVs). It is currently unknown whether pathophysiology in those with defined rare mutations overlaps with that in other individuals with the disorder who do not share the same rare mutation. Under an extreme heterogeneity model, carriers of specific high-penetrance mutations form distinct subgroups. In contrast, under a polygenic threshold model, high-penetrance rare allele carriers possess many risk factors, of which the rare allele is the only one, albeit an important, factor. Under the latter model, cases with rare mutations can be expected to share some common risk alleles, and therefore pathophysiological mechanisms, with cases without the same mutation. Here we show that, compared with controls, individuals with schizophrenia who have known pathogenic CNVs carry an excess burden of common risk alleles (P=2.25 × 10(-17)) defined from a genome-wide association study largely based on individuals without known CNVs. Our finding is not consistent with an extreme heterogeneity model for CNV carriers, but does offer support for the polygenic threshold model of schizophrenia. That this is so provides support for the notion that studies aiming to model the effects of rare variation may uncover pathophysiological mechanisms of relevance to those with the disorder more widely.
| S-EPMC4960448 | biostudies-literature
Project description:AIM:In schizophrenia, metabolic syndrome incidence is double that of the general population, with women having a higher incidence. Pharmacogenetically regulated folic acid may be related to this risk. DNA methylation and metabolic syndrome within this group has not been previously studied. METHODS:Metabolic syndrome was evaluated with fasting laboratory measurements, and dietary and lifestyle assessments. Methylation analysis used a peripheral sample for the LINE-1 assay. DNA was also genotyped for MTHFR 677C/T. RESULTS:This analysis included 133 subjects. We found a significant relationship between LINE-1 methylation, and an interaction between MTHFR and gender, controlling for serum folate (p = 0.008). Females with the 677TT genotype had the lowest methylation (56%) compared with the other groups (75%). CONCLUSION:TT genotype females had the lowest methylation, which may explain metabolic syndrome gender differences in schizophrenia. Folate supplementation may be a suggested intervention within schizophrenia; however, additional work is required.
| S-EPMC3392683 | biostudies-literature
Project description:PurposeSchizophrenia is a devastating mental disorder and is known to be affected by genetic factors. The chromogranin B (CHGB), a member of the chromogranin gene family, has been proposed as a candidate gene associated with the risk of schizophrenia. The secretory pathway for peptide hormones and neuropeptides in the brain is regulated by chromogranin proteins. The aim of this study was to investigate the potential associations between genetic variants of CHGB and schizophrenia susceptibility.Materials and methodsIn the current study, 15 single nucleotide polymorphisms of CHGB were genotyped in 310 schizophrenia patients and 604 healthy controls.ResultsStatistical analysis revealed that two genetic variants (non-synonymous rs910122; rs2821 in 3'-untranslated region) were associated with schizophrenia [minimum p=0.002; odds ratio (OR)=0.72], even after correction for multiple testing (p(corr)=0.02). Since schizophrenia is known to be differentially expressed between sexes, additional analysis for sex was performed. As a result, these two genetic variants (rs910122 and rs2821) and a haplotype (ht3) showed significant associations with schizophrenia in male subjects (p(corr)=0.02; OR=0.64), whereas the significance disappeared in female subjects (p>0.05).ConclusionAlthough this study has limitations including a small number of samples and lack of functional study, our results suggest that genetic variants of CHGB may have sex-specific effects on the risk of schizophrenia and provide useful preliminary information for further study.
| S-EPMC5368149 | biostudies-literature
Project description:ObjectiveTo investigate the gender differences in the efficacy and side effects of three frequently used antipsychotic medicines (risperidone, olanzapine, aripiprazole) for patients with first-episode schizophrenia during the first year of treatment.MethodsA total of 569 patients with first-episode schizophrenia were randomly assigned to risperidone, olanzapine, and aripiprazole groups. All patients were treated according to their actual clinical needs. Clinical efficacies were assessed by the Positive and Negative Symptom Scale (PANSS) and side effects were assessed by the Udvalg for Kliniske Undersogelser Side-Effect scale (UKU). All assessments were completed at baseline and at 1, 2, 3, 6, 9, and 12 months.ResultsMales had higher baseline PANSS total scores and PANSS negative and general pathological scores. No significant interactions were found between treatment time and gender in psychopathology improvements in all three groups. In the end of the first year, female patients receiving risperidone reported more dermatological symptoms (rashes) than males, female patients receiving olanzapine reported more autonomic side effects and dermatological symptoms than males, and female patients receiving aripiprazole reported more psychotic side effects than males.ConclusionGender differences exhibited in response to antipsychotic treatments for Chinese patients with first-episode schizophrenia. After the first year of antipsychotic treatment, drug-related side effects were more likely presented in female patients than male patients.
| S-EPMC7751687 | biostudies-literature
Project description:This study compares gender differences in Healthy Life Years (HLY) and unhealthy life years (ULY) between the original (EU15) and new member states (EU10). Based on the number of deaths, population and prevalence of activity limitations from the Statistics of Living and Income Conditions Survey (SILC) survey, we calculated HLY and ULY for the EU10 and EU15 in 2006 with the Sullivan method. We used decomposition analysis to assess the contributions of mortality and disability and age to gender differences in HLY and ULY. HLY at age 15 for women in the EU10 were 3.1 years more than those for men at the same age, whereas HLY did not differ by gender in the EU15. In both populations ULY at age 15 for women exceeded those for men by 5.5 years. Decomposition showed that EU10 women had more HLY because higher disability in women only partially offset (-0.8 years) the effect of lower mortality (+3.9 years). In the EU15 women's higher disability prevalence almost completely offset women's lower mortality. The 5.3 fewer ULY in EU10 men than in EU10 women mainly reflected higher male mortality (4.5 years), while the fewer ULY in EU15 men than in EU15 women reflected both higher male mortality (2.9 years) and higher female disability (2.6 years). The absence of a clear gender gap in HLY in the EU15 thus masked important gender differences in mortality and disability. The similar size of the gender gap in ULY in the EU-10 and EU-15 masked the more unfavourable health situation of EU10 men, in particular the much stronger and younger mortality disadvantage in combination with the virtually absent disability advantage below age 65 in men.
| S-EPMC2995874 | biostudies-other
Project description:Copy number variations (CNVs), a major source of human genetic polymorphism, have been suggested to have an important role in genetic susceptibility to common diseases such as cancer, immune diseases and neurological disorders. Nasopharyngeal carcinoma (NPC) is a multifactorial tumor closely associated with genetic background and with a male preponderance over female (3:1). Previous genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) that are associated with NPC susceptibility. Here, we sought to explore the possible association of CNVs with NPC predisposition. Utilizing genome-wide SNP-based arrays and five CNV-prediction algorithms, we identified eight regions with CNV that were significantly overrepresented in NPC patients compared with healthy controls. These CNVs included six deletions (on chromosomes 3, 6, 7, 8 and 19), and two duplications (on chromosomes 7 and 12). Among them, the CNV located at chromosome 6p21.3, with single-copy deletion of the MICA and HCP5 genes, showed the highest association with NPC. Interestingly, it was more specifically associated with an increased NPC risk among males. This gender-specific association was replicated in an independent case-control sample using a self-established deletion-specific polymerase chain reaction strategy. To the best of our knowledge, this is the first study to explore the role of constitutional CNVs in NPC, using a genome-wide platform. Moreover, we identified eight novel candidate regions with CNV that merit future investigation, and our results suggest that similar to neuroblastoma and prostate cancer, genetic structural variations might contribute to NPC predisposition.
| S-EPMC3146013 | biostudies-literature
Project description:BackgroundSNP genotyping arrays have been developed to characterize single-nucleotide polymorphisms (SNPs) and DNA copy number variations (CNVs). Nonparametric and model-based statistical algorithms have been developed to detect CNVs from SNP data using the marker intensities. However, these algorithms lack specificity to detect small CNVs owing to the high false positive rate when calling CNVs based on the intensity values. Therefore, the resulting association tests lack power even if the CNVs affecting disease risk are common. An alternative procedure called PennCNV uses information from both the marker intensities as well as the genotypes and therefore has increased sensitivity.ResultsBy using the hidden Markov model (HMM) implemented in PennCNV to derive the probabilities of different copy number states which we subsequently used in a logistic regression model, we developed a new genome-wide algorithm to detect CNV associations with diseases. We compared this new method with association test applied to the most probable copy number state for each individual that is provided by PennCNV after it performs an initial HMM analysis followed by application of the Viterbi algorithm, which removes information about copy number probabilities. In one of our simulation studies, we showed that for large CNVs (number of SNPs ? 10), the association tests based on PennCNV calls gave more significant results, but the new algorithm retained high power. For small CNVs (number of SNPs <10), the logistic algorithm provided smaller average p-values (e.g., p = 7.54e - 17 when relative risk RR = 3.0) in all the scenarios and could capture signals that PennCNV did not (e.g., p = 0.020 when RR = 3.0). From a second set of simulations, we showed that the new algorithm is more powerful in detecting disease associations with small CNVs (number of SNPs ranging from 3 to 5) under different penetrance models (e.g., when RR = 3.0, for relatively weak signals, power = 0.8030 comparing to 0.2879 obtained from the association tests based on PennCNV calls). The new method was implemented in software GWCNV. It is freely available at http://gwcnv.sourceforge.net, distributed under a GPL license.ConclusionsWe conclude that the new algorithm is more sensitive and can be more powerful in detecting CNV associations with diseases than the existing HMM algorithm, especially when the CNV association signal is weak and a limited number of SNPs are located in the CNV.
| S-EPMC3173460 | biostudies-literature
Project description:BACKGROUND: Panic disorder is common (5% prevalence) and females are twice as likely to be affected as males. The heritable component of panic disorder is estimated at 48%. Glutamic acid dehydrogenase GAD1, the key enzyme for the synthesis of the inhibitory and anxiolytic neurotransmitter GABA, is supposed to influence various mental disorders, including mood and anxiety disorders. In a recent association study in depression, which is highly comorbid with panic disorder, GAD1 risk allele associations were restricted to females. METHODOLOGY/PRINCIPAL FINDINGS: Nineteen single nucleotide polymorphisms (SNPs) tagging the common variation in GAD1 were genotyped in two independent gender and age matched case-control samples (discovery sample n?=?478; replication sample n?=?584). Thirteen SNPs passed quality control and were examined for gender-specific enrichment of risk alleles associated with panic disorder by using logistic regression including a genotype×gender interaction term. The latter was found to be nominally significant for four SNPs (rs1978340, rs3762555, rs3749034, rs2241165) in the discovery sample; of note, the respective minor/risk alleles were associated with panic disorder only in females. These findings were not confirmed in the replication sample; however, the genotype×gender interaction of rs3749034 remained significant in the combined sample. Furthermore, this polymorphism showed a nominally significant association with the Agoraphobic Cognitions Questionnaire sum score. CONCLUSIONS/SIGNIFICANCE: The present study represents the first systematic evaluation of gender-specific enrichment of risk alleles of the common SNP variation in the panic disorder candidate gene GAD1. Our tentative results provide a possible explanation for the higher susceptibility of females to panic disorder.
| S-EPMC3360757 | biostudies-literature