Pub Date : 2023-01-01Epub Date: 2023-08-31DOI: 10.1159/000531659
Stephen Burgess
Introduction: Non-linear Mendelian randomization is an extension of conventional Mendelian randomization that performs separate instrumental variable analyses in strata of the study population with different average levels of the exposure. The approach estimates a localized average causal effect function, representing the average causal effect of the exposure on the outcome at different levels of the exposure. The commonly used residual method for dividing the population into strata works under the assumption that the effect of the genetic instrument on the exposure is linear and constant in the study population. However, this assumption may not hold in practice.
Methods: We use the recently developed doubly ranked method to re-analyse various datasets previously analysed using the residual method. In particular, we consider a genetic score for 25-hydroxyvitamin D (25[OH]D) used in a recent non-linear Mendelian randomization analysis to assess the potential effect of vitamin D supplementation on all-cause mortality.
Results: The effect of the genetic score on 25(OH)D concentrations varies strongly, with a five-fold difference in the estimated genetic association with the exposure in the lowest and highest decile groups. Evidence for a protective causal effect of vitamin D supplementation on all-cause mortality in low vitamin D individuals is evident for the residual method but not for the doubly ranked method. We show that the constant genetic effect assumption is more reasonable for some exposures and less reasonable for others. If the doubly ranked method indicates that this assumption is violated, then estimates from both the residual and doubly ranked methods can be biased, although bias was smaller on average in the doubly ranked method.
Conclusion: Analysts wanting to perform non-linear Mendelian randomization should compare results from both the residual and doubly ranked methods, as well as consider transforming the exposure for the residual method to reduce heterogeneity in the genetic effect on the exposure.
{"title":"Violation of the Constant Genetic Effect Assumption Can Result in Biased Estimates for Non-Linear Mendelian Randomization.","authors":"Stephen Burgess","doi":"10.1159/000531659","DOIUrl":"10.1159/000531659","url":null,"abstract":"<p><strong>Introduction: </strong>Non-linear Mendelian randomization is an extension of conventional Mendelian randomization that performs separate instrumental variable analyses in strata of the study population with different average levels of the exposure. The approach estimates a localized average causal effect function, representing the average causal effect of the exposure on the outcome at different levels of the exposure. The commonly used residual method for dividing the population into strata works under the assumption that the effect of the genetic instrument on the exposure is linear and constant in the study population. However, this assumption may not hold in practice.</p><p><strong>Methods: </strong>We use the recently developed doubly ranked method to re-analyse various datasets previously analysed using the residual method. In particular, we consider a genetic score for 25-hydroxyvitamin D (25[OH]D) used in a recent non-linear Mendelian randomization analysis to assess the potential effect of vitamin D supplementation on all-cause mortality.</p><p><strong>Results: </strong>The effect of the genetic score on 25(OH)D concentrations varies strongly, with a five-fold difference in the estimated genetic association with the exposure in the lowest and highest decile groups. Evidence for a protective causal effect of vitamin D supplementation on all-cause mortality in low vitamin D individuals is evident for the residual method but not for the doubly ranked method. We show that the constant genetic effect assumption is more reasonable for some exposures and less reasonable for others. If the doubly ranked method indicates that this assumption is violated, then estimates from both the residual and doubly ranked methods can be biased, although bias was smaller on average in the doubly ranked method.</p><p><strong>Conclusion: </strong>Analysts wanting to perform non-linear Mendelian randomization should compare results from both the residual and doubly ranked methods, as well as consider transforming the exposure for the residual method to reduce heterogeneity in the genetic effect on the exposure.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"79-90"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614256/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10129348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-04-26DOI: 10.1159/000529559
Alexandre Bureau, Yuang Tian, Patrick Levallois, Yves Giguère, Jinbo Chen, Hong Zhang
Introduction: The case-mother-control-mother design allows to study fetal and maternal genetic factors together with environmental exposures on early life outcomes. Mendelian constraints and conditional independence between child genotype and environmental factors enabled semiparametric likelihood methods to estimate logistic models with greater efficiency than standard logistic regression. Difficulties in child genotype collection require methods handling missing child genotype.
Methods: We review a stratified retrospective likelihood and two semiparametric likelihood approaches: a prospective one and a modified retrospective one, the latter either modeling the maternal genotype as a function of covariates or leaving their joint distribution unspecified (robust version). We also review software implementing these modeling alternatives, compare their statistical properties in a simulation study, and illustrate their application, focusing on gene-environment interactions and partially missing child genotype.
Results: The robust retrospective likelihood provides generally unbiased estimates, with standard errors only slightly larger than when modeling maternal genotype based on exposure. The prospective likelihood encounters maximization problems. In the application to the association of small-for-gestational-age babies with CYP2E1 and drinking water disinfection by-products, the retrospective likelihood allowed a full array of covariates, while the prospective likelihood was limited to few covariates.
Conclusion: We recommend the robust version of the modified retrospective likelihood.
{"title":"Methods and Software to Analyze Gene-Environment Interactions under a Case-Mother-Control-Mother Design with Partially Missing Child Genotype.","authors":"Alexandre Bureau, Yuang Tian, Patrick Levallois, Yves Giguère, Jinbo Chen, Hong Zhang","doi":"10.1159/000529559","DOIUrl":"10.1159/000529559","url":null,"abstract":"<p><strong>Introduction: </strong>The case-mother-control-mother design allows to study fetal and maternal genetic factors together with environmental exposures on early life outcomes. Mendelian constraints and conditional independence between child genotype and environmental factors enabled semiparametric likelihood methods to estimate logistic models with greater efficiency than standard logistic regression. Difficulties in child genotype collection require methods handling missing child genotype.</p><p><strong>Methods: </strong>We review a stratified retrospective likelihood and two semiparametric likelihood approaches: a prospective one and a modified retrospective one, the latter either modeling the maternal genotype as a function of covariates or leaving their joint distribution unspecified (robust version). We also review software implementing these modeling alternatives, compare their statistical properties in a simulation study, and illustrate their application, focusing on gene-environment interactions and partially missing child genotype.</p><p><strong>Results: </strong>The robust retrospective likelihood provides generally unbiased estimates, with standard errors only slightly larger than when modeling maternal genotype based on exposure. The prospective likelihood encounters maximization problems. In the application to the association of small-for-gestational-age babies with CYP2E1 and drinking water disinfection by-products, the retrospective likelihood allowed a full array of covariates, while the prospective likelihood was limited to few covariates.</p><p><strong>Conclusion: </strong>We recommend the robust version of the modified retrospective likelihood.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"38-49"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9725507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-06-14DOI: 10.1159/000529171
Tianhao Wu, Yanlong Zhang, Aqin Peng, Xirui Wu
Introduction: Rheumatoid arthritis (RA), a chronic autoimmune disorder, is currently a severe health threat. Previous studies have documented the altered expression of various miRNAs in RA patients. This study determined the expression of miR-124a in RA patients and estimated its diagnostic value for RA.
Methods: A total of 80 RA patients were enrolled as the study subjects, and 36 patients with osteoarthritis were included, with another 36 healthy people as the controls. miR-124a expression levels in peripheral blood plasma, peripheral blood mononuclear cells (PBMCs), and synovial fluid were measured using reverse transcription quantitative polymerase chain reaction, followed by Pearson correlation analysis. Additionally, the association between miR-124a and major clinical indicators was assessed, such as rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), and disease activity score of 28 joints (DAS28). The diagnostic efficacy of miR-124a expression in plasma, PBMCs, and synovial fluid for RA was evaluated by the receiver operating characteristic curve, and the difference in the area under the curve (AUC) was analyzed.
Results: miR-124a was downregulated in RA patients, and the expression levels of miR-124a in plasma, PBMCs, and synovial fluid showed a certain degree of positive correlation. miR-124a was inversely linked with RF, ESR, and DAS28. For the diagnosis of RA patients, the AUC of plasma miR-124a was 0.899 and the cut-off value was 0.800, with 68.75% sensitivity and 94.44% specificity; the AUC of miR-124a in PBMCs was 0.937 and the cut-off value was 0.805, with 82.50% sensitivity and 91.67% specificity; the AUC of miR-124a in plasma combined with PBMCs was 0.961, with a higher diagnostic value than independent plasma or PBMCs; the AUC of miR-124a in synovial fluid was 0.929 and the cut-off value was 0.835, with 80.00% sensitivity and 88.89% specificity.
Conclusion: miR-124a expression is downregulated in the plasma, PBMCs, and synovial fluid of RA patients and has a high diagnostic value for RA.
{"title":"The Diagnostic Value of miR-124a Expression in Peripheral Blood and Synovial Fluid of Patients with Rheumatoid Arthritis.","authors":"Tianhao Wu, Yanlong Zhang, Aqin Peng, Xirui Wu","doi":"10.1159/000529171","DOIUrl":"10.1159/000529171","url":null,"abstract":"<p><strong>Introduction: </strong>Rheumatoid arthritis (RA), a chronic autoimmune disorder, is currently a severe health threat. Previous studies have documented the altered expression of various miRNAs in RA patients. This study determined the expression of miR-124a in RA patients and estimated its diagnostic value for RA.</p><p><strong>Methods: </strong>A total of 80 RA patients were enrolled as the study subjects, and 36 patients with osteoarthritis were included, with another 36 healthy people as the controls. miR-124a expression levels in peripheral blood plasma, peripheral blood mononuclear cells (PBMCs), and synovial fluid were measured using reverse transcription quantitative polymerase chain reaction, followed by Pearson correlation analysis. Additionally, the association between miR-124a and major clinical indicators was assessed, such as rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), and disease activity score of 28 joints (DAS28). The diagnostic efficacy of miR-124a expression in plasma, PBMCs, and synovial fluid for RA was evaluated by the receiver operating characteristic curve, and the difference in the area under the curve (AUC) was analyzed.</p><p><strong>Results: </strong>miR-124a was downregulated in RA patients, and the expression levels of miR-124a in plasma, PBMCs, and synovial fluid showed a certain degree of positive correlation. miR-124a was inversely linked with RF, ESR, and DAS28. For the diagnosis of RA patients, the AUC of plasma miR-124a was 0.899 and the cut-off value was 0.800, with 68.75% sensitivity and 94.44% specificity; the AUC of miR-124a in PBMCs was 0.937 and the cut-off value was 0.805, with 82.50% sensitivity and 91.67% specificity; the AUC of miR-124a in plasma combined with PBMCs was 0.961, with a higher diagnostic value than independent plasma or PBMCs; the AUC of miR-124a in synovial fluid was 0.929 and the cut-off value was 0.835, with 80.00% sensitivity and 88.89% specificity.</p><p><strong>Conclusion: </strong>miR-124a expression is downregulated in the plasma, PBMCs, and synovial fluid of RA patients and has a high diagnostic value for RA.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"58-67"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9962987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2022-10-31DOI: 10.1159/000527806
Shiguo Chen, Jian Gao, Qunyan Wu, Xi Li, Sheng Lin, Jindi Su, Kaifeng Zheng, Zhaopeng Guo, Jilong Yao, Shan Duan
Objective: Glucose-6-phosphate dehydrogenase (G6PD) deficiency is an X-linked genetic disorder that results in impaired enzyme activity. The G6PD/6PGD ratio assay was routinely used for G6PD deficiency screening in China, but there is an apparent defect of missed diagnosis in heterozygous females. The study aims to explore the means to improve its accuracy.
Methods: A total of 4,161 Chinese females of childbearing age were collected in this retrospective study. All samples were first subjected to G6PD/6PGD ratio assay and then screened by amplification refractory mutation system PCR (ARMS-PCR) for six hotspot mutants in Chinese population (c.1376G>T, c.1388G>A, c.95A>G, c.1024C>T, c.392G>T, and c.871G>A). For the samples with G6PD/6PGD ratio<1.0 and no mutations were found by ARMS-PCR, next-generation sequencing (NGS) was performed. Sanger sequencing was finally used to verify all the variants.
Results: The prevalence of G6PD deficiency in Shenzhen females of childbearing age was 7.31%. The proportion of the six hotspot mutations accounted for 98.03% of all 304 G6PD variants carriers. Taking the ARMS-PCR/NGS results as a reference, the missed diagnosis rate of the G6PD/6PGD ratio assay was 33.88%. Using ARMS-PCR to retest the samples with a G6PD/6PGD ratio between 1.00 and ∼1.10 or 1.00 and ∼1.15 could reduce the missed diagnosis rate from the original 33.88% to 18.09% or 12.05% separately.
Conclusion: ARMS-PCR is an appropriate supplementary method for discovering most carriers missed by the G6PD/6PGD ratio assay.
{"title":"Reduction of Missed Diagnosis of G6PD Deficiency in Heterozygous Females by G6PD/6PGD Ratio Assay Combined with Amplification Refractory Mutation System PCR.","authors":"Shiguo Chen, Jian Gao, Qunyan Wu, Xi Li, Sheng Lin, Jindi Su, Kaifeng Zheng, Zhaopeng Guo, Jilong Yao, Shan Duan","doi":"10.1159/000527806","DOIUrl":"10.1159/000527806","url":null,"abstract":"<p><strong>Objective: </strong>Glucose-6-phosphate dehydrogenase (G6PD) deficiency is an X-linked genetic disorder that results in impaired enzyme activity. The G6PD/6PGD ratio assay was routinely used for G6PD deficiency screening in China, but there is an apparent defect of missed diagnosis in heterozygous females. The study aims to explore the means to improve its accuracy.</p><p><strong>Methods: </strong>A total of 4,161 Chinese females of childbearing age were collected in this retrospective study. All samples were first subjected to G6PD/6PGD ratio assay and then screened by amplification refractory mutation system PCR (ARMS-PCR) for six hotspot mutants in Chinese population (c.1376G>T, c.1388G>A, c.95A>G, c.1024C>T, c.392G>T, and c.871G>A). For the samples with G6PD/6PGD ratio<1.0 and no mutations were found by ARMS-PCR, next-generation sequencing (NGS) was performed. Sanger sequencing was finally used to verify all the variants.</p><p><strong>Results: </strong>The prevalence of G6PD deficiency in Shenzhen females of childbearing age was 7.31%. The proportion of the six hotspot mutations accounted for 98.03% of all 304 G6PD variants carriers. Taking the ARMS-PCR/NGS results as a reference, the missed diagnosis rate of the G6PD/6PGD ratio assay was 33.88%. Using ARMS-PCR to retest the samples with a G6PD/6PGD ratio between 1.00 and ∼1.10 or 1.00 and ∼1.15 could reduce the missed diagnosis rate from the original 33.88% to 18.09% or 12.05% separately.</p><p><strong>Conclusion: </strong>ARMS-PCR is an appropriate supplementary method for discovering most carriers missed by the G6PD/6PGD ratio assay.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"1-7"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9254952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-10-27DOI: 10.1159/000534692
Senmao Chai, Deyang Liu, Yajing Liu, Ming Sang
Introduction: Spinocerebellar ataxia (SCA) is an autosomal dominant genetic disease characterized by cerebellar neurological deficits. Specifically, its primary clinical manifestation is ataxia accompanied by peripheral nerve damage. A total of 48 causative genes of SCA have been identified. This study aimed to identify causative genes of autosomal dominant SCA in a four-generation Chinese kindred comprising eight affected individuals.
Methods: Genomic DNA samples were extracted from the pedigree members, and genomic whole-exome sequencing was performed, followed by bidirectional Sanger sequencing, and minigene assays to identify mutation sites.
Results: A novel pathogenic heterozygous mutation in the splice region of the coiled-coil domain containing the 88C (CCDC88C) gene (NM_001080414:c.3636-4 A>G) was identified in four affected members. The minigene assay results indicated that this mutation leads to the insertion of CAG bases (c.3636-1_3636-3 insCAG).
Conclusion: CCDC88C gene mutation leads to SCA40 (OMIM:616053), which is a rare subtype of SCA without symptoms during childhood. Our findings further demonstrated the role of the CCDC88C gene in SCA and indicated that the c.3636-4 A>G (NM_001080414) variant of CCDC88C is causative for a later-onset phenotype of SCA40. Our findings enrich the mutation spectrum of CCDC88C gene and provide a theoretical basis for the genetic counseling of SCA40.
{"title":"A Novel c.3636-4 A>G Mutation in the CCDC88C Plays a Causative Role in Familial Spinocerebellar Ataxia.","authors":"Senmao Chai, Deyang Liu, Yajing Liu, Ming Sang","doi":"10.1159/000534692","DOIUrl":"10.1159/000534692","url":null,"abstract":"<p><strong>Introduction: </strong>Spinocerebellar ataxia (SCA) is an autosomal dominant genetic disease characterized by cerebellar neurological deficits. Specifically, its primary clinical manifestation is ataxia accompanied by peripheral nerve damage. A total of 48 causative genes of SCA have been identified. This study aimed to identify causative genes of autosomal dominant SCA in a four-generation Chinese kindred comprising eight affected individuals.</p><p><strong>Methods: </strong>Genomic DNA samples were extracted from the pedigree members, and genomic whole-exome sequencing was performed, followed by bidirectional Sanger sequencing, and minigene assays to identify mutation sites.</p><p><strong>Results: </strong>A novel pathogenic heterozygous mutation in the splice region of the coiled-coil domain containing the 88C (CCDC88C) gene (NM_001080414:c.3636-4 A>G) was identified in four affected members. The minigene assay results indicated that this mutation leads to the insertion of CAG bases (c.3636-1_3636-3 insCAG).</p><p><strong>Conclusion: </strong>CCDC88C gene mutation leads to SCA40 (OMIM:616053), which is a rare subtype of SCA without symptoms during childhood. Our findings further demonstrated the role of the CCDC88C gene in SCA and indicated that the c.3636-4 A>G (NM_001080414) variant of CCDC88C is causative for a later-onset phenotype of SCA40. Our findings enrich the mutation spectrum of CCDC88C gene and provide a theoretical basis for the genetic counseling of SCA40.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"91-97"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71412057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-04-26DOI: 10.1159/000530827
Hongqiang Ren, Yijun Liu, Zhen Tan, Guiquan Luo, Mei Zhang, Shuang Li, Tingwei Tang, Li Zhao
Introduction: The role of ARRB2 in cardiovascular disease has recently gained increasing attention. However, the association between ARRB2 polymorphisms and heart failure (HF) has not yet been investigated.
Methods: A total of 2,386 hospitalized patients with chronic HF were enrolled as the first cohort and followed up for a mean period of 20.2 months. Meanwhile, ethnically and geographically matched 3,000 individuals without evidence of HF were included as healthy controls. We genotyped the common variant in ARRB2 gene to identify the association between variant and HF. A replicated independent cohort enrolling 837 patients with chronic HF was applied to validate the observed association. A series of function analyses were conducted to illuminate the underlying mechanism.
Results: We identified a common variant rs75428611 associated with the prognosis of HF in two-stage population: adjusted p = 0.001, hazard ratio (HR) = 1.31 (1.11-1.54) in additive model and adjusted p = 0.001, HR = 1.39 (1.14-1.69) in dominant model in first-stage population; adjusted p = 0.04, HR = 1.41 (1.02-1.95) in additive model and adjusted p = 0.03, HR = 1.51 (1.03-2.20) in dominant model in replicated stage. However, rs75428611 did not significantly associate with the risk of HF. Functional analysis indicated that rs75428611-G allele increased the promoter activity and the mRNA expression level of ARRB2 by facilitating transcription factor SRF binding but not the A allele.
Conclusions: Our findings demonstrated that rs75428611 in promoter of ARRB2 was associated with the risk of HF mortality. It is a promising potential treatment target for HF.
{"title":"A Common Variant of ARRB2 Promoter Region Associated with the Prognosis of Heart Failure.","authors":"Hongqiang Ren, Yijun Liu, Zhen Tan, Guiquan Luo, Mei Zhang, Shuang Li, Tingwei Tang, Li Zhao","doi":"10.1159/000530827","DOIUrl":"10.1159/000530827","url":null,"abstract":"<p><strong>Introduction: </strong>The role of ARRB2 in cardiovascular disease has recently gained increasing attention. However, the association between ARRB2 polymorphisms and heart failure (HF) has not yet been investigated.</p><p><strong>Methods: </strong>A total of 2,386 hospitalized patients with chronic HF were enrolled as the first cohort and followed up for a mean period of 20.2 months. Meanwhile, ethnically and geographically matched 3,000 individuals without evidence of HF were included as healthy controls. We genotyped the common variant in ARRB2 gene to identify the association between variant and HF. A replicated independent cohort enrolling 837 patients with chronic HF was applied to validate the observed association. A series of function analyses were conducted to illuminate the underlying mechanism.</p><p><strong>Results: </strong>We identified a common variant rs75428611 associated with the prognosis of HF in two-stage population: adjusted p = 0.001, hazard ratio (HR) = 1.31 (1.11-1.54) in additive model and adjusted p = 0.001, HR = 1.39 (1.14-1.69) in dominant model in first-stage population; adjusted p = 0.04, HR = 1.41 (1.02-1.95) in additive model and adjusted p = 0.03, HR = 1.51 (1.03-2.20) in dominant model in replicated stage. However, rs75428611 did not significantly associate with the risk of HF. Functional analysis indicated that rs75428611-G allele increased the promoter activity and the mRNA expression level of ARRB2 by facilitating transcription factor SRF binding but not the A allele.</p><p><strong>Conclusions: </strong>Our findings demonstrated that rs75428611 in promoter of ARRB2 was associated with the risk of HF mortality. It is a promising potential treatment target for HF.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"68-78"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9351239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-06-14DOI: 10.1159/000531120
Wenjing Zhang, Xinmiao Nie, Lei Shi, Fengmin Shao, Lihua Cao
Background: Porokeratosis is a rare chronic progressive hypokeratotic skin disease, possibly related to the mevalonate pathway. Variations in four enzymes, including phosphomevalonate kinase (PMVK) may alter this pathway, ultimately leading to porokeratosis.
Objectives: The aim of the study was to identify the causative gene variant of porokeratosis in a Chinese family and investigate its population frequency and pathogenicity.
Method: In this study, Sanger sequencing was used to identify the gene variant causative of porokeratosis; its population frequency was investigated by polymerase chain reaction-restriction fragment length polymorphism in 4 patients and three normal individuals as well as in 100 normal unrelated controls; finally, the pathogenicity of the mutation and the associated structural changes were predicted.
Results: We identified a novel heterozygous missense variant, c.207G>T (p. Lys69Asn) in the PMVK gene. This variant was found in all patients but not in the normal individuals in this family or in the 100 controls. In silico analysis indicated that the variant was pathogenic; p.Lys69Asn changed the length of the α-helix and the hydrogen bond pattern compared with the wild-type protein.
Conclusions: The novel variant c.207G>T (p. Lys69Asn) in the PMVK gene was the causative variant in this porokeratosis family. This finding provides further evidence for the genetic basis of this disease.
{"title":"A Novel PMVK Variant Associated with Familial Porokeratosis.","authors":"Wenjing Zhang, Xinmiao Nie, Lei Shi, Fengmin Shao, Lihua Cao","doi":"10.1159/000531120","DOIUrl":"10.1159/000531120","url":null,"abstract":"<p><strong>Background: </strong>Porokeratosis is a rare chronic progressive hypokeratotic skin disease, possibly related to the mevalonate pathway. Variations in four enzymes, including phosphomevalonate kinase (PMVK) may alter this pathway, ultimately leading to porokeratosis.</p><p><strong>Objectives: </strong>The aim of the study was to identify the causative gene variant of porokeratosis in a Chinese family and investigate its population frequency and pathogenicity.</p><p><strong>Method: </strong>In this study, Sanger sequencing was used to identify the gene variant causative of porokeratosis; its population frequency was investigated by polymerase chain reaction-restriction fragment length polymorphism in 4 patients and three normal individuals as well as in 100 normal unrelated controls; finally, the pathogenicity of the mutation and the associated structural changes were predicted.</p><p><strong>Results: </strong>We identified a novel heterozygous missense variant, c.207G>T (p. Lys69Asn) in the PMVK gene. This variant was found in all patients but not in the normal individuals in this family or in the 100 controls. In silico analysis indicated that the variant was pathogenic; p.Lys69Asn changed the length of the α-helix and the hydrogen bond pattern compared with the wild-type protein.</p><p><strong>Conclusions: </strong>The novel variant c.207G>T (p. Lys69Asn) in the PMVK gene was the causative variant in this porokeratosis family. This finding provides further evidence for the genetic basis of this disease.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"50-57"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9632284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Hyperphenylalaninemia (HPA) is an autosomal recessive disorder that results from a deficiency in the phenylalanine hydroxylase enzyme (PAH) or from a flaw in the genes that are responsible for the biosynthesis or regeneration of the cofactor tetrahydrobiopterin (BH4), including GCH1, SR, QDPR, PTS, and PCD. Identification of disease-causing variants in these genes can help physicians and clinical geneticists in differential diagnosis, appropriate prescription drugs, and saving time and cost. This study attempted to identify these genes' most prevalent disease-causing variants in Iranian HPA patients.
Summary: This study was performed under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Before it started, the flow work and inclusion/exclusion criteria were published as a protocol in PROSPERO (CRD42021273705). We conducted a comprehensive search on December 10, 2022, on international online databases, including Web of Science, Scopus, EMBASE, Science Direct, PubMed/Medline, Google Scholar, SID, ISC, and Magiran search engine, to find pertinent publications. Some studies were chosen based on inclusion and exclusion criteria. Altogether, 1,243 Iranian patients from 13 articles were considered. In total, we identified 129 distinct disease-causing variants in PAH (20 novel variants), 29 in QDPR (17 novel variants), 15 in PTS (seven novel variants), and one novel variant in PCD. Twenty disease-causing variants for PAH, 18 for QDPR, and 8 for PTS are included in the genes' proposed genetic diagnostic panels. These panels include more than 75% of the documented disease-causing variants in the Iranian population.
Key messages: The findings of this research illustrated the spectrum of disease-causing variants in the PAH, QDPR, PTS, and PCD genes identified in Iranian HPA patients. Common disease-causing variants of these genes may be chosen as a preliminary diagnostic panel for early diagnosis and lowering therapy costs.
{"title":"A Comprehensive Study of Disease-Causing Variants in PAH, QDPR, PTS, and PCD Genes in Iranian Patients with Hyperphenylalaninemia: A Systematic Review.","authors":"Mahmoud Ghanei, Seyedeh Helia Sadat Fatemi, Tayebeh Hamzehlouei","doi":"10.1159/000529037","DOIUrl":"10.1159/000529037","url":null,"abstract":"<p><strong>Background: </strong>Hyperphenylalaninemia (HPA) is an autosomal recessive disorder that results from a deficiency in the phenylalanine hydroxylase enzyme (PAH) or from a flaw in the genes that are responsible for the biosynthesis or regeneration of the cofactor tetrahydrobiopterin (BH4), including GCH1, SR, QDPR, PTS, and PCD. Identification of disease-causing variants in these genes can help physicians and clinical geneticists in differential diagnosis, appropriate prescription drugs, and saving time and cost. This study attempted to identify these genes' most prevalent disease-causing variants in Iranian HPA patients.</p><p><strong>Summary: </strong>This study was performed under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Before it started, the flow work and inclusion/exclusion criteria were published as a protocol in PROSPERO (CRD42021273705). We conducted a comprehensive search on December 10, 2022, on international online databases, including Web of Science, Scopus, EMBASE, Science Direct, PubMed/Medline, Google Scholar, SID, ISC, and Magiran search engine, to find pertinent publications. Some studies were chosen based on inclusion and exclusion criteria. Altogether, 1,243 Iranian patients from 13 articles were considered. In total, we identified 129 distinct disease-causing variants in PAH (20 novel variants), 29 in QDPR (17 novel variants), 15 in PTS (seven novel variants), and one novel variant in PCD. Twenty disease-causing variants for PAH, 18 for QDPR, and 8 for PTS are included in the genes' proposed genetic diagnostic panels. These panels include more than 75% of the documented disease-causing variants in the Iranian population.</p><p><strong>Key messages: </strong>The findings of this research illustrated the spectrum of disease-causing variants in the PAH, QDPR, PTS, and PCD genes identified in Iranian HPA patients. Common disease-causing variants of these genes may be chosen as a preliminary diagnostic panel for early diagnosis and lowering therapy costs.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"8-17"},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10750328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10527867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.1101/2022.10.26.22280570
S. Burgess
Non-linear Mendelian randomization is an extension of conventional Mendelian randomization that performs separate instrumental variable analyses in strata of the study population with different average levels of the exposure. The approach estimates a localized average causal effect function, representing the average causal effect of the exposure on the outcome at different levels of the exposure. The commonly-used residual method for dividing the population into strata works under the assumption that the effect of the genetic instrument on the exposure is linear and constant in the study population. However, this assumption may not hold in practice. We use the recently developed doubly-ranked method to re-analyse various datasets previously analysed using the residual method. In particular, we consider a genetic score for 25-hydroxyvitamin D [25(OH)D] used in a recent non-linear Mendelian randomization analysis to assess the potential effect of vitamin D supplementation on all-cause mortality. We show that the effect of the genetic score on 25(OH)D concentrations varies strongly, with a five-fold difference in the estimated genetic association with the exposure in the lowest and highest decile groups. Evidence for a protective causal effect of vitamin D supplementation on all-cause mortality in low vitamin D individuals is evident for the residual method, but not for the doubly-ranked method. We show that the constant genetic effect assumption is more reasonable for some exposures, and less reasonable for others. If the doubly-ranked method indicates that this assumption is violated, then estimates from both the residual and doubly-ranked methods can be biased, although bias was smaller on average in the doubly-ranked method. Analysts should compare results from both methods, as well as considering transforming the exposure to reduce heterogeneity in the genetic effect on the exposure.
{"title":"Violation of the constant genetic effect assumption can result in biased estimates for non-linear Mendelian randomization","authors":"S. Burgess","doi":"10.1101/2022.10.26.22280570","DOIUrl":"https://doi.org/10.1101/2022.10.26.22280570","url":null,"abstract":"Non-linear Mendelian randomization is an extension of conventional Mendelian randomization that performs separate instrumental variable analyses in strata of the study population with different average levels of the exposure. The approach estimates a localized average causal effect function, representing the average causal effect of the exposure on the outcome at different levels of the exposure. The commonly-used residual method for dividing the population into strata works under the assumption that the effect of the genetic instrument on the exposure is linear and constant in the study population. However, this assumption may not hold in practice. We use the recently developed doubly-ranked method to re-analyse various datasets previously analysed using the residual method. In particular, we consider a genetic score for 25-hydroxyvitamin D [25(OH)D] used in a recent non-linear Mendelian randomization analysis to assess the potential effect of vitamin D supplementation on all-cause mortality. We show that the effect of the genetic score on 25(OH)D concentrations varies strongly, with a five-fold difference in the estimated genetic association with the exposure in the lowest and highest decile groups. Evidence for a protective causal effect of vitamin D supplementation on all-cause mortality in low vitamin D individuals is evident for the residual method, but not for the doubly-ranked method. We show that the constant genetic effect assumption is more reasonable for some exposures, and less reasonable for others. If the doubly-ranked method indicates that this assumption is violated, then estimates from both the residual and doubly-ranked methods can be biased, although bias was smaller on average in the doubly-ranked method. Analysts should compare results from both methods, as well as considering transforming the exposure to reduce heterogeneity in the genetic effect on the exposure.","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41898686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}