Genetic analysis for type 1 diabetes genes in juvenile dermatomyositis unveils genetic disease overlap.

OBJECTIVES: JDM is a serious autoimmune and complex genetic disease. Another autoimmune genetic disease, type 1 diabetes (T1D), has been observed for significantly increased prevalence in families with JDM, while increased JDM risk has also been observed in T1D cases. This study aimed to study whether these two autoimmune diseases, JDM and T1D, share common genetic susceptibility. METHODS: From 169 JDM families, 121 unrelated cases with European ancestry (EA) were identified by genome-wide genotyping, principal component analysis and identical-by-descent (IBD) analysis. T1D genetic risk score (GRS) were calculated in these cases and were compared with 361 EA T1D cases and 1943 non-diabetes EA controls. A total of 113 cases of the 121 unrelated European cases were sequenced by whole exome sequencing. RESULTS: We observed increased T1D GRS in JDM cases (P = 9.42E-05). Using whole exome sequencing, we uncovered the T1D genes, phospholipase B1, cystic fibrosis transmembrane conductance regulator, tyrosine hydroxylase, CD6 molecule, perforin 1 and dynein axonemal heavy chain 2, potentially associated with JDM by the burden test of rare functional coding variants. CONCLUSION: Novel mechanisms of JDM related to these T1D genes are suggested by this study, which may imply novel therapeutic targets for JDM and warrant further study.

New candidate genes associated to endometriosis.

A previous GWAS study performed on Brazilian pooled samples indicated some SNPs (single nucleotide polymorphisms) differentially frequent in infertile patients with endometriosis and controls. Some of them were located in the genes whose biological function suggests that they could be associated with endometriosis pathogenesis; thus, the purpose here was to confirm GWAS findings in a larger group of cases and controls in order to associate the results with the pathogenesis of endometriosis. Then, a genetic association study comprising 394 infertile women with endometriosis and 650 fertile control women was conducted. TaqMan allelic discrimination assays were used to investigate the frequency of three SNPs in the genes KAZN (rs10928050), LAMA5 (rs2427284), and TAC3 (rs733629). The analysis revealed a significant association of KAZN rs10928050 (p = .015) and LAMA5 rs2427284 (p = .0059) SNPs with endometriosis-related infertility, while TAC3 rs733629 showed no difference between cases and controls. As a conclusion, it was possible to observe that individual genotyping of a larger sample of patients and controls confirmed the association among KAZN and LAMA5 with endometriosis-related infertility and revealed new candidate genes contributing to the condition.

Copy number variation analysis reveals additional variants contributing to endometriosis development.

PURPOSE: Endometriosis is a gynecological disease influenced by multiple genetic and environmental factors. The aim of the current study was to use SNP-array technology to identify genomic aberrations that may possibly contribute to the development of endometriosis. METHODS: We performed an SNP-array genotyping of pooled DNA samples from both patients (n = 100) and controls (n = 50). Copy number variation (CNV) calling and association analyses were performed using PennCNV software. MLPA and TaqMan Copy-Number assays were used for validation of CNVs discovered. RESULTS: We detected 49 CNV loci that were present in patients with endometriosis and absent in the control group. After validation procedures, we confirmed six CNV loci in the subtelomeric regions, including 1p36.33, 16p13.3, 19p13.3, and 20p13, representing gains, while 17q25.3 and 20q13.33 showed losses. Among the intrachromosomal regions, our results revealed duplication at 19q13.1 within the FCGBP gene (p = 0.007). CONCLUSIONS: We identified CNVs previously associated with endometriosis, together with six suggestive novel loci possibly involved in this disease. The intergenic locus on chromosome 19q13.1 shows strong association with endometriosis and is under further functional investigation.

Evaluation of the frequency of G-765C polymorphism in the promoter region of the COX-2 gene and its correlation with the expression of this gene in the endometrium of women with endometriosis.

OBJECTIVE: To evaluate the frequency of polymorphism G-765C (rs20417) of the COX-2 gene and the expression of this gene in the endometrium of women with endometriosis. STUDY DESIGN: This is a case-control study of 365 women with endometriosis (251 infertile and 114 fertile) submitted to laparoscopy/laparotomy with histological confirmation of endometriosis. The control group was composed of 522 fertile women without endometriosis. Of these, 37 patients from the endometriosis group and 47 from the control group were submitted to biopsy of the endometrium for analysis of the expression of the COX-2 gene. The genotypes were determined using analysis by High-Resolution Melt. Gene expression was measured by qRT-PCR with TaqMan methodology using the GAPDH gene as normalizer of the reactions. RESULTS: The distribution of the genotypes and alleles in the group of fertile women with moderate/severe endometriosis showed a statistically significant difference, demonstrating association of the ancestral allele, -765G, with increased risk of endometriosis (p = 0.028; OR 0.53; CI 0.32-0.90). The mean expression of the COX-2 gene (mRNA PTGS2) in the group of women with endometriosis was statistically higher compared to the control group (3.85 versus 2.84, p = 0.028). CONCLUSION: The present study identified that in Brazilian women the presence of the ancestral allele, -765G, of the COX-2 gene is associated with an increased risk for development of moderate/severe endometriosis associated with fertility, and that the eutopic endometrium of women with endometriosis showed increased expression of COX-2 when compared to the control group.

45,X karyotype in an infertile man: how is this possible?

The case was male, 32 years old, with a nonobstructive azoospermia diagnosis and an initial 45,X karyotype. We evaluated by classical cytogenetic methods, C and NOR banding, fluorescent in situ hybridization, and polymerase chain reaction investigations. After investigation, we found the following karyotype: 45,X,dic(Y;22)(q11.223;p11.2). This investigation contributes to our understanding of how chromosome rearrangements can influence fertility processes and how important it is to perform a cytogenetic analysis in infertility cases.

Association of WNT4 polymorphisms with endometriosis in infertile patients.

PURPOSE: Recently, several genome-wide association studies have demonstrated an association between endometriosis and markers located in or near to WNT4 gene. In order to assess the validity of the findings, we conducted a replication case-control study in a Brazilian population. METHODS: Genetic association study comprising 400 infertile women with endometriosis and 400 fertile women as controls. TaqMan allelic discrimination technique was used to investigate the relationship between endometriosis and four single-nucleotide polymorphisms (rs16826658, rs3820282, rs2235529, and rs7521902) in WNT4 gene. Genotype distribution, allele frequency, and haplotype analysis of the WNT4 polymorphisms were performed. A p value <0.05 was considered significant. RESULTS: The results revealed a significant association of rs16826658 (p = 7e-04) and rs3820282 (p = 0.048) single-nucleotide polymorphisms (SNPs) on WNT4 gene with endometriosis-related infertility, while rs2235529 and rs7521902 SNPs showed no difference between cases and controls. CONCLUSIONS: Our results suggested that rs16826658 and rs3820282 polymorphisms on WNT4 gene might be involved in the pathogenesis of endometriosis in the infertile women studied. Analysis of WNT4 genetic variants might help to identify patients at high risk for disease development.

CYP2C19 polymorphism increases the risk of endometriosis.

PURPOSE: Estrogen metabolizing gene mutations can be associated with defective hormonal signaling leading to disease processes. Endometriosis is an estrogen dependent that can be influenced by defective signaling in the estrogen pathway. OBJECTIVES: To evaluate the association of A/G 85952 CYP2C19 and A/G 937 HSD17B1 gene polymorphisms with endometriosis through the investigation of a large Brazilian sample of women with endometriosis and a fertile control group. METHODS: Five hundred women with endometriosis and 500 women without endometriosis were tested for CYP2C19 and HSD17B1 polymorphisms, by TaqMan Real Time PCR. The results were statistically analyzed by chi-square, logistic regression and tested for Hardy-Weinberg equilibrium. RESULTS: The comparison of genotype and allelic frequency of CYP2C19 polymorphism (rs11592737) in patients with endometriosis and control group showed a statistically significant difference (p = 0.0203) and for the HSD17B1 polymorphism (rs605059) differences were not significant (p = 0.0687). Comparing the stages I/II and III/IV endometriosis with the control group for the CYP2C19 we observed p = 0.0133 and p = 0.0564, respectively, and for HSD17B1 the values for p = 0.4319 and p = 0.0667. CONCLUSION: We observed that CYP2C19 polymorphism is associated with endometrisis in Brazilian women and can be considered a potential biomarker of the disease.

Metabolic Insight into Glioma Heterogeneity: Mapping Whole Exome Sequencing to In Vivo Imaging with Stereotactic Localization and Deep Learning.

Intratumoral heterogeneity (ITH) complicates the diagnosis and treatment of glioma, partly due to the diverse metabolic profiles driven by underlying genomic alterations. While multiparametric imaging enhances the characterization of ITH by capturing both spatial and functional variations, it falls short in directly assessing the metabolic activities that underpin these phenotypic differences. This gap stems from the challenge of integrating easily accessible, colocated pathology and detailed genomic data with metabolic insights. This study presents a multifaceted approach combining stereotactic biopsy with standard clinical open-craniotomy for sample collection, voxel-wise analysis of MR images, regression-based GAM, and whole-exome sequencing. This work aims to demonstrate the potential of machine learning algorithms to predict variations in cellular and molecular tumor characteristics. This retrospective study enrolled ten treatment-naïve patients with radiologically confirmed glioma. Each patient underwent a multiparametric MR scan (T1W, T1W-CE, T2W, T2W-FLAIR, DWI) prior to surgery. During standard craniotomy, at least 1 stereotactic biopsy was collected from each patient, with screenshots of the sample locations saved for spatial registration to pre-surgical MR data. Whole-exome sequencing was performed on flash-frozen tumor samples, prioritizing the signatures of five glioma-related genes: IDH1, TP53, EGFR, PIK3CA, and NF1. Regression was implemented with a GAM using a univariate shape function for each predictor. Standard receiver operating characteristic (ROC) analyses were used to evaluate detection, with AUC (area under curve) calculated for each gene target and MR contrast combination. Mean AUC for five gene targets and 31 MR contrast combinations was 0.75 ± 0.11; individual AUCs were as high as 0.96 for both IDH1 and TP53 with T2W-FLAIR and ADC, and 0.99 for EGFR with T2W and ADC. These results suggest the possibility of predicting exome-wide mutation events from noninvasive, in vivo imaging by combining stereotactic localization of glioma samples and a semi-parametric deep learning method. The genomic alterations identified, particularly in IDH1, TP53, EGFR, PIK3CA, and NF1, are known to play pivotal roles in metabolic pathways driving glioma heterogeneity. Our methodology, therefore, indirectly sheds light on the metabolic landscape of glioma through the lens of these critical genomic markers, suggesting a complex interplay between tumor genomics and metabolism. This approach holds potential for refining targeted therapy by better addressing the genomic heterogeneity of glioma tumors.

There is no relationship between Paraoxonase serum level activity in women with endometriosis and the stage of the disease: an observational study.

BACKGROUND: Endometriosis is a chronic condition whose pathophysiology is unknown, but there is evidence suggesting a link with oxidative stress. Paraoxonase is a serum enzyme which circulates associated with high-density lipoprotein (HDL). It acts protecting HDL and LDL of lipid peroxidation. We aimed to compare the serum levels of PON-1 activity in women with endometriosis in different stages of the disease (minimal/mild and moderate/severe). METHODS: 80 infertile women with endometriosis diagnosed by laparoscopy/laparotomy with histologic confirmation of the disease were divided according to the American Society for Reproductive Medicine classification in minimal/mild (n = 33) and moderate/severe (n = 47) cases. Paraoxonase activity and arilesterase activity were measured by spectrophotometry. Body mass index and fasting glucose levels were also determined. RESULTS: The paraoxonase activity were 191.29 ± 22.41 U/l in women with minimal/mild endometriosis and 224.85 ± 21.50 U/l in women with moderate/severe disease (P = 0.274). Considering arilesterase level, the results showed 89.82 ± 4.61 U/l in women with minimal/mild endometriosis and 90.78 ± 3.43 U/l in moderate/severe disease (P = 0.888). CONCLUSIONS: Evidence of lower paraoxonase activity in women with endometriosis was not found in this study. Besides, no difference was found considering minimal/mild or moderate/severe endometriosis.

Alterations in microRNA of extracellular vesicles associated with major depression, attention-deficit/hyperactivity and anxiety disorders in adolescents.

Extracellular vesicles (EVs) are present in numerous peripheral bodily fluids and function in critical biological processes, including cell-to-cell communication. Most relevant to the present study, EVs contain microRNAs (miRNAs), and initial evidence from the field indicates that miRNAs detected in circulating EVs have been previously associated with mental health disorders. Here, we conducted an exploratory longitudinal and cross-sectional analysis of miRNA expression in serum EVs from adolescent participants. We analyzed data from a larger ongoing cohort study, evaluating 116 adolescent participants at two time points (wave 1 and wave 2) separated by three years. Two separate data analyses were employed: A cross-sectional analysis compared individuals diagnosed with Major Depressive Disorder (MDD), Anxiety disorders (ANX) and Attention deficit/Hyperactivity disorder (ADHD) with individuals without psychiatric diagnosis at each time point. A longitudinal analysis assessed changes in miRNA expression over time between four groups showing different diagnostic trajectories (persistent diagnosis, first incidence, remitted and typically developing/control). Total EVs were isolated, characterized by size distribution and membrane proteins, and miRNAs were isolated and sequenced. We then selected differentially expressed miRNAs for target prediction and pathway enrichment analysis. In the longitudinal analysis, we did not observe any statistically significant results. In the cross-sectional analysis: in the ADHD group, we observed an upregulation of miR-328-3p at wave 1 only; in the MDD group, we observed a downregulation of miR-4433b-5p, miR-584-5p, miR-625-3p, miR-432-5p and miR-409-3p at wave 2 only; and in the ANX group, we observed a downregulation of miR-432-5p, miR-151a-5p and miR-584-5p in ANX cases at wave 2 only. Our results identified previously observed and novel differentially expressed miRNAs and their relationship with three mental health disorders. These data are consistent with the notion that these miRNAs might regulate the expression of genes associated with these traits in genome-wide association studies. The findings support the promise of continued identification of miRNAs contained within peripheral EVs as biomarkers for mental health disorders.

Prevalence of cases of Mycoplasma hominis, Mycoplasma genitalium, Ureaplasma urealyticum and Chlamydia trachomatis in women with no gynecologic complaints.

Purpose: To evaluate the prevalence of Mycoplasma hominis, Mycoplasma genitalium, Ureaplasma urealyticum, Chlamydia trachomatis, Trichomonas vaginalis and Neisseria gonorrhoeae in women with no gynecologic complaints screened in the Human Reproduction outpatient clinic of Faculdade de Medicina of ABC, Brazil. Methods: A total of 106 women without gynecologic complaints and in reproductive age were evaluated. DNA was extracted from cells of the genitourinary tract with bacteria for the detection of six types of bacteria by polymerase chain reaction. Results: We found that 11.3 % of women had infection with M. hominis and 2.83 % for C. trachomatis. The other bacteria investigated occurred in 2.83 % of women. The percentage of infections identified was 15 %. Conclusion: The data showed a low percentage of women with genitourinary tract bacteria without symptoms. However, these infections can be sexually transmitted, and relate to infertility and other serious illnesses. The identification and treatment of infection in asymptomatic woman can avoid transmission and future genitourinary trait complications.

Chromosomal and molecular abnormalities in a group of Brazilian infertile men with severe oligozoospermia or non-obstructive azoospermia attending an infertility service.

PURPOSE: To determine the frequency of genetic alterations in a population of Brazilian infertile men with severe oligozoospermia or non-obstructive azoospermia. MATERIALS AND METHODS: Retrospective study of a group of 143 infertile men with severe oligozoospermia or non-obstructive azoospermia from the Andrology Outpatient Clinic of the Human Reproduction Service at the ABC School of Medicine. Of these patients, 100 had severe oligozoospermia, and 43 non-obstructive azoospermia. All patients underwent a genetic study which included karyotype analysis and Y-microdeletion investigation. RESULTS: Genetic abnormalities were found in 18.8% of the studied patients. Chromosomal abnormalities were found in 6.2% of the patients, being more prevalent in the azoospermia group (11.6%) than in the oligozoospermia group (4%). Chromosomal variants were found in 8.3%, and Y-chromosome microdeletions in 4.2% of patients. CONCLUSION: The high frequency of genetic alterations (18.8%) in our series justified performing a genetic investigation in a population with idiopathic infertility, as results may help determine the prognosis, as well as the choice of an assisted reproduction technique. Moreover, a genetic investigation could minimize the risk of transmitting genetic abnormalities to future generations such as genetic male infertility, mental retardation, genital ambiguity and/or birth defects.

Isolation of myeloid cells from mouse brain tumors for single-cell RNA-seq analysis.

Current single-cell RNA sequencing (scRNA-seq) protocols are limited by the number of cells that can be simultaneously sequenced, restricting the ability to resolve heterogeneity of rare cell types. We describe here a protocol for rapid isolation of myeloid cells from tumor-harboring mouse cerebellum without cell sorting to minimize cell damage for scRNA-seq. This protocol includes the procedures for further enrichment of myeloid cells using CD11b+ magnetic beads, followed by the generation of scRNA library and sequencing analysis. For complete details on the use and execution of this protocol, please refer to Dang et al. (2021).

Genetic analysis of products of conception. Should we abandon classic karyotyping methodology?

OBJECTIVE: To compare the results obtained by the classic and molecular methodology in the analysis of products of conception, the advantages and disadvantages of each method. METHODS: Retrospective non-randomized analysis of results obtained from product of conception samples submitted to genetic evaluation, from 2012 to 2017. The evaluations were performed using cytogenetics and/or chromosomal microarray analysis or arrays. RESULTS: Forty samples were analyzed using classic cytogenetics, of which 10% showed no cell growth, 50% had normal results and 40% had abnormalities. Of the 41 cases sent for array analysis it was not possible to obtain results in 7.3%, 39.5% were normal and 60.5% had abnormalities. There was no statistical difference among the results (p=0.89). Most abnormal results were seen till 9 weeks' gestation. The later abnormal miscarriage was seen at 28 weeks' gestation, with karyotype 46,XX,del(15)(q26.2-qter). The results are corroborated by the international literature. CONCLUSION: Classic cytogenetics and array techniques showed comparable results on the type of alteration observed. Array analysis is preferable to cell culture in delayed abortions, while cytogenetics is more able to show polyploidies. Both have the same growth failure rates when product of conception tissue is not properly collected.

A Transparent Approach to Calculate Detection Rate and Residual Risk for Carrier Screening.

Carrier screening involves detection of carrier status for genes associated with recessive conditions. A negative carrier screening test result bears a nonzero residual risk (RR) for the individual to have an affected child. The RR depends on the prevalence of specific conditions and the detection rate (DR) of the test itself. Herein, we provide a detailed approach for calculating DR and RR. DR was calculated on the basis of the sum of disease allele frequencies (DAFs) of pathogenic variants found in published literature. As a proof of concept, DAF data for cystic fibrosis were compared with society guidelines. The DAF data calculated by this method were consistent with the published cystic fibrosis guideline. In addition, we compared DAF for four genes (ABCC8, ASPA, GAA, and MMUT) across three laboratories, and outlined the likely reasons for discrepancies between these laboratories. The utility of carrier screening is to support couples with information while making reproductive choices. Accurate development of DR and RR is therefore critical. The method described herein provides an unbiased and transparent process to collect, calculate, and report these data.

scRNA-Seq Reveals New Enteric Nervous System Roles for GDNF, NRTN, and TBX3.

BACKGROUND AND AIMS: Bowel function requires coordinated activity of diverse enteric neuron subtypes. Our aim was to define gene expression in these neuron subtypes to facilitate development of novel therapeutic approaches to treat devastating enteric neuropathies, and to learn more about enteric nervous system function. METHODS: To identify subtype-specific genes, we performed single-nucleus RNA-seq on adult mouse and human colon myenteric plexus, and single-cell RNA-seq on E17.5 mouse ENS cells from whole bowel. We used immunohistochemistry, select mutant mice, and calcium imaging to validate and extend results. RESULTS: RNA-seq on 635 adult mouse colon myenteric neurons and 707 E17.5 neurons from whole bowel defined seven adult neuron subtypes, eight E17.5 neuron subtypes and hundreds of differentially expressed genes. Manually dissected human colon myenteric plexus yielded RNA-seq data from 48 neurons, 3798 glia, 5568 smooth muscle, 377 interstitial cells of Cajal, and 2153 macrophages. Immunohistochemistry demonstrated differential expression for BNC2, PBX3, SATB1, RBFOX1, TBX2, and TBX3 in enteric neuron subtypes. Conditional Tbx3 loss reduced NOS1-expressing myenteric neurons. Differential Gfra1 and Gfra2 expression coupled with calcium imaging revealed that GDNF and neurturin acutely and differentially regulate activity of ∼50% of myenteric neurons with distinct effects on smooth muscle contractions. CONCLUSION: Single cell analyses defined genes differentially expressed in myenteric neuron subtypes and new roles for TBX3, GDNF and NRTN. These data facilitate molecular diagnostic studies and novel therapeutics for bowel motility disorders.

Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality.

Tumor-associated macrophages (TAMs) play an important role in tumor immunity and comprise of subsets that have distinct phenotype, function, and ontology. Transcriptomic analyses of human medulloblastoma, the most common malignant pediatric brain cancer, showed that medulloblastomas (MBs) with activated sonic hedgehog signaling (SHH-MB) have significantly more TAMs than other MB subtypes. Therefore, we examined MB-associated TAMs by single-cell RNA sequencing of autochthonous murine SHH-MB at steady state and under two distinct treatment modalities: molecular-targeted inhibitor and radiation. Our analyses reveal significant TAM heterogeneity, identify markers of ontologically distinct TAM subsets, and show the impact of brain microenvironment on the differentiation of tumor-infiltrating monocytes. TAM composition undergoes dramatic changes with treatment and differs significantly between molecular-targeted and radiation therapy. We identify an immunosuppressive monocyte-derived TAM subset that emerges with radiation therapy and demonstrate its role in regulating T cell and neutrophil infiltration in MB.

OC-125 immunostaining in endometriotic lesion samples.

PURPOSE: To determine the presence of OC-125 staining in endometriotic lesions and to verify whether there is an association with endometriosis stage. METHODS: Thirteen patients from the Family Planning programs (group I) and 53 patients from the Chronic Pelvic Pain outpatient clinic (group II) were studied. Endometriotic lesions were excised from areas of endometriosis incidence and studied by histopathological assay and by immunohistochemistry for OC-125 staining. RESULTS: The histopathological study disclosed that all patients from group I had minimal/mild endometriosis. In group II, 39.6% had minimal/mild endometriosis, and 60.4% had moderate/severe endometriosis. OC-125 staining was negative in all samples from group I. In group II, OC-125 staining was positive in 52.4% patients with minimal/mild endometriosis and in 81.2% with moderate/severe endometriosis. CONCLUSION: The data suggest that the OC-125 antibody is probably related to endometriosis activity and, consequently, to the progression and severity of the illness.

Evaluating sequence data quality from the Swift Accel-Amplicon CFTR Panel.

Cystic fibrosis (CF) is one of the most common genetic diseases worldwide with high carrier frequencies across different ethnicities. Next generation sequencing of the cystic fibrosis transmembrane conductance regulator (CFTR) gene has proven to be an effective screening tool to determine carrier status with high detection rates. Here, we evaluate the performance of the Swift Biosciences Accel-Amplicon CFTR Capture Panel using CFTR-positive DNA samples. This assay is a one-day protocol that allows for one-tube reaction of 87 amplicons that span all coding regions, 5' and 3'UTR, as well as four intronic regions. In this study, we provide the FASTQ, BAM, and VCF files on seven unique CFTR-positive samples and one normal control sample (14 samples processed including repeated samples). This method generated sequencing data with high coverage and near 100% on-target reads. We found that coverage depth was correlated with the GC content of each exon. This dataset is instrumental for clinical laboratories that are evaluating this technology as part of their carrier screening program.

Variants in the Kisspeptin-GnRH Pathway Modulate the Hormonal Profile and Reproductive Outcomes.

Kisspeptin has been identified as a key regulatory protein in the release of gonadotropin-releasing hormone (GnRH), which subsequently increases gonadotropin secretion during puberty to establish reproductive function and regulate the hypothalamic-pituitary-gonadal axis. The effects of variants in the KISS1, KISS1R, and GNRHR genes and their possible association with assisted reproduction outcomes remain to be elucidated. In this study, we used next-generation sequencing to investigate the associations of the genetic diversity at the candidate loci for KISS1, KISS1R, and GNRHR with the hormonal profiles and reproductive outcomes in 86 women who underwent in vitro fertilization treatments. Variants in the KISS1 and KISS1R genes were associated with luteinizing hormone (rs35431622:T>C), anti-Mullerian hormone (rs71745629delT), follicle-stimulating hormone (rs73507529:C>A), and estradiol (rs73507527:G>A, rs350130:A>G, and rs73507529:C>A) levels, as well as with reproductive outcomes such as the number of oocytes retrieved (s35431622:T>C), metaphasis II oocytes (rs35431622:T>C), and embryos (rs1132506:G>C). Additionally, variants in the GNRHR UTR3' (rs1038426:C>A, rs12508464:A>C, rs13150734:C>A, rs17635850:A>G, rs35683646:G>A, rs35610027:C>G, rs35845954:T>C, rs17635749:C>T, and rs7666201:C>T) were associated with low prolactin levels. A conjoint analysis of clinical, hormonal, and genetic variables using a generalized linear model identified two variants of the KISS1 gene (rs71745629delT and rs1132506:G>C) that were significantly associated with hormonal variations and reproductive outcomes. The findings suggest that variants in KISS1, KISS1R, and GNRHR genes can modulate hormone levels and reproductive outcomes.