scholarly journals Examination of the Effect of Rare Variants in TREM2, ABI3, and PLCG2 in LOAD Through Multiple Phenotypes

2020 ◽  
Vol 77 (4) ◽  
pp. 1469-1482
Author(s):  
Claudia Olive ◽  
Laura Ibanez ◽  
Fabiana H. Geraldo Farias ◽  
Fengxian Wang ◽  
John P. Budde ◽  
...  
Keyword(s):  
Rare Variants ◽  
Late Onset ◽  
Amyloid Imaging ◽  
Initial Report ◽  
Memory Decline ◽  
Multiple Phenotypes ◽  
Alternative Phenotypes ◽  
Gene Sets ◽  
Coding Variants ◽  
Load Risk

Background: Rare variants in PLCG2 (p.P522R), ABI3 (p.S209F), and TREM2 (p.R47H, p.R62H) have been associated with late onset Alzheimer’s disease (LOAD) risk in Caucasians. After the initial report, several studies have found positive results in cohorts of different ethnic background and with different phenotype. Objective: In this study, we aim to evaluate the association of rare coding variants in PLCG2, ABI3, and TREM2 with LOAD risk and their effect at different time points of the disease. Methods: We used a European American cohort to assess the association of the variants prior onset (using CSF Aβ42, tau, and pTau levels, and amyloid imaging as endophenotypes) and after onset (measured as rate of memory decline). Results: We confirm the association with LOAD risk of TREM2 p.R47H, p.R62H and ABI3 p.S209F variants, and the protective effect of PLCG2 p.P522R. In addition, ABI3 and TREM2 gene-sets showed significant association with LOAD risk. TREM2 p.R47H and PLCG2 p.P522R variants were also statistically associated with increase of amyloid imaging and AD progression, respectively. We did not observe any association of ABI3 p.S209F with any of the other AD endophenotypes. Conclusion: The results of this study highlight the importance of including biomarkers and alternative phenotypes to better understand the role of novel candidate genes with the disease.

scholarly journals Quantifying the impact of rare and ultra-rare coding variation across the phenotypic spectrum

2017 ◽  
Author(s):  
Andrea Ganna ◽  
Kyle F. Satterstrom ◽  
Seyedeh M Zekavat ◽  
Indraniel Das ◽  
Mitja I. Kurki ◽  
...  
Keyword(s):  
Complex Traits ◽  
Sequencing Data ◽  
Multiple Phenotypes ◽  
Gene Sets ◽  
Whole Exome ◽  
Increased Risk ◽  
Whole Exome Sequencing Data ◽  
Lower Education ◽  
Coding Variants ◽  
The Impact

AbstractThere is a limited understanding about the impact of rare protein truncating variants across multiple phenotypes. We explore the impact of this class of variants on 13 quantitative traits and 10 diseases using whole-exome sequencing data from 100,296 individuals. Protein truncating variants in genes intolerant to this class of mutations increased risk of autism, schizophrenia, bipolar disorder, intellectual disability, ADHD. In individuals without these disorders, there was an association with shorter height, lower education, increased hospitalization and reduced age. Gene sets implicated from GWAS did not show a significant protein truncating variants-burden beyond what captured by established Mendelian genes. In conclusion, we provide the most thorough investigation to date of the impact of rare deleterious coding variants on complex traits, suggesting widespread pleiotropic risk.Main abbreviationsPTV= Protein Truncating VariantsPI= Protein Truncating IntolerantPI-PTV= Protein Truncating Variant in genes that are Intolerant to Protein Truncating Variants

scholarly journals Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

2018 ◽  
Author(s):  
BW Kunkle ◽  
B Grenier-Boley ◽  
R Sims ◽  
JC Bis ◽  
AC Naj ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Rare Variants ◽  
Late Onset ◽  
Association Studies ◽  
Meta Analysis ◽  
The Elderly ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Load Risk

IntroductionLate-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly1, and risk is partially driven by genetics2. Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS)3–8. To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci (IQCK, ACE, ADAM10, and ADAMTS1). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants (P = 1.32 × 10−7) indicating that additional rare variants remain to be identified.

scholarly journals Common and rare genetic variants that could contribute to severe otitis media in an Australian Aboriginal population

2021 ◽  
Author(s):  
Sarra E Jamieson ◽  
Michaela Fakiola ◽  
Dave Tang ◽  
Elizabeth Scaman ◽  
Genevieve Syn ◽  
...  
Keyword(s):  
Hair Cell ◽  
Otitis Media ◽  
Genetic Risk ◽  
Transforming Growth Factor ◽  
Rare Variants ◽  
Protein Coding ◽  
Gene Sets ◽  
Growth Factor Signalling ◽  
Rare Genetic Variants ◽  
And Function

Abstract Background Our goal was to identify genetic risk factors for severe otitis media (OM) in Aboriginal Australians. Methods Illumina ® Omni2.5 BeadChip and imputed data were compared between 21 children with severe OM (multiple episodes chronic suppurative OM and/or perforations or tympanic sclerosis) and 370 individuals without this phenotype, followed by FUnctional Mapping and Annotation (FUMA). Exome data filtered for common (EXaC_all≥0.1) putative deleterious variants influencing protein coding (CADD-scaled scores ≥ 15) were used to compare 15 severe OM cases with 9 mild cases (single episode of acute OM recorded over ≥ 3 consecutive years). Rare (ExAC_all≤0.01) such variants were filtered for those present only in severe OM. Enrichr was used to determine enrichment of genes contributing to pathways/processes relevant to OM. Results FUMA analysis identified two plausible genetic risk loci for severe OM: NR3C1 (Pimputed_1000G=3.62x10 -6) encoding the glucocorticoid receptor, and NREP (Pimputed_1000G=3.67x10 -6) encoding neuronal regeneration related protein. Exome analysis showed: (i) association of severe OM with variants influencing protein coding (CADD-scaled ≥ 15) in a gene-set (GRXCR1, CDH23, LRP2, FAT4, ARSA, EYA4) enriched for Mammalian Phenotype Level 4 abnormal hair cell stereociliary bundle morphology and related phenotypes; (ii) rare variants influencing protein coding only seen in severe OM provided gene-sets enriched for “abnormal ear” (LMNA, CDH23, LRP2, MYO7A, FGFR1), integrin interactions, transforming growth factor signalling, and cell projection phenotypes including hair cell stereociliary bundles and cilium assembly. Conclusions This study highlights interacting genes and pathways related to cilium structure and function that may contribute to extreme susceptibility to OM in Aboriginal Australian children.

scholarly journals Rare Variants in Autophagy and Non-Autophagy Genes in Late-Onset Pompe Disease: Suggestions of Their Disease-Modifying Role in Two Italian Families

2021 ◽  
Vol 22 (7) ◽  
pp. 3625
Author(s):  
Filomena Napolitano ◽  
Giorgia Bruno ◽  
Chiara Terracciano ◽  
Giuseppina Franzese ◽  
Nicole Piera Palomba ◽  
...  
Keyword(s):  
Pompe Disease ◽  
Rare Variants ◽  
Clinical Symptoms ◽  
Late Onset ◽  
Respiratory Muscles ◽  
Autosomal Recessive Disorder ◽  
Compound Heterozygous ◽  
Enzyme Replacement ◽  
Whole Exome ◽  
Clinical Pictures

Pompe disease is an autosomal recessive disorder caused by a deficiency in the enzyme acid alpha-glucosidase. The late-onset form of Pompe disease (LOPD) is characterized by a slowly progressing proximal muscle weakness, often involving respiratory muscles. In LOPD, the levels of GAA enzyme activity and the severity of the clinical pictures may be highly variable among individuals, even in those who harbour the same combination of GAA mutations. The result is an unpredictable genotype–phenotype correlation. The purpose of this study was to identify the genetic factors responsible for the progression, severity and drug response in LOPD. We report here on a detailed clinical, morphological and genetic study, including a whole exome sequencing (WES) analysis of 11 adult LOPD siblings belonging to two Italian families carrying compound heterozygous GAA mutations. We disclosed a heterogeneous pattern of myopathic impairment, associated, among others, with cardiac defects, intracranial vessels abnormality, osteoporosis, vitamin D deficiency, obesity and adverse response to enzyme replacement therapy (ERT). We identified deleterious variants in the genes involved in autophagy, immunity and bone metabolism, which contributed to the severity of the clinical symptoms observed in the LOPD patients. This study emphasizes the multisystem nature of LOPD and highlights the polygenic nature of the complex phenotype disclosed in these patients.

scholarly journals Identification of sixteen novel candidate genes for late onset Parkinson’s disease

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Alessandro Gialluisi ◽  
Mafalda Giovanna Reccia ◽  
Nicola Modugno ◽  
Teresa Nutile ◽  
Alessia Lombardi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Candidate Genes ◽  
Rare Variants ◽  
Late Onset ◽  
High Specificity ◽  
Diagnostic Tools ◽  
Multi Stage ◽  
Whole Exome ◽  
Family Based

Abstract Background Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. Methods The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). Results Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10− 5). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. Conclusions Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment.

Contribution of coding/non-coding variants in NUS1 to late-onset sporadic Parkinson's disease

2021 ◽  
Vol 84 ◽  
pp. 29-34
Author(s):  
Li Jiang ◽  
Hong-xu Pan ◽  
Yu-wen Zhao ◽  
Qian Zeng ◽  
Zhen-hua Liu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Late Onset ◽  
Sporadic Parkinson’S Disease ◽  
Coding Variants

Abstract 15169: De Novo Variants of USP10 in Early Onset Bicuspid Aortic Valve Disease

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Siddharth K Prakash ◽  
Angela T Yetman ◽  
Hector I Michelena ◽  
Malenka M Bissell ◽  
Yuli Y Kim ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Early Onset ◽  
Rare Variants ◽  
De Novo ◽  
Late Onset ◽  
Copy Number Variants ◽  
Aortic Aneurysms ◽  
Thoracic Aortic Aneurysms ◽  
Aortic Dissections

Introduction: Bicuspid Aortic Valve (BAV), the most common congenital heart defect, is a major cause of aortic regurgitation or stenosis requiring valve replacement and thoracic aortic aneurysms predisposing to acute aortic dissections (TAD). The spectrum of BAV ranges from severe early onset valve and aortic complications to sporadic late onset disease. Hypothesis: Early onset BAV (EBAV) cases with valve or aortic complications that require intervention prior to age 30 are enriched for rare genetic variants that cause BAV and TAD. Methods: We performed whole exome sequencing of 147 EBAV cases in 141 families who were enrolled in the UTHealth Bicuspid Aortic Valve Research Registry. Candidate variants in the EBAV cohort (26% female, mean age 18, 44% with TAD) were compared to unselected controls from the Genome Aggregation Database (gnoMAD) and the Database of Genotypes and Phenotypes (dbGAP). We considered variants with minor allele frequencies (MAF) < 1%, Combined Annotation Dependent Depletion (CADD) scores > 25, and damaging (Polyphen-2) or deleterious (SIFT) functional prediction scores. Genomic copy number variants (CNVs) were detected using CoNIFER and prioritized when deletions involved genes with probability of loss intolerance (pLI) > 0.9. Variants were validated using quantitative PCR or Sanger sequencing. Results: We identified 6 rare variants of USP10 in 6 EBAV families (4% of cohort): 4 CNVs (2 duplications and 2 deletions) that are rare in dbGAP controls (4 in 15,414) and 2 deleterious rare missense variants (MAF<5x10 -5 in gnoMAD). Two of the 4 CNVs were de novo events in trios. In contrast, rare deleterious variants of the known causal BAV genes NOTCH1 (1), ROBO4 (1), GATA4 (1), GATA5 (1), and SMAD6 (4) were found in 7 total families. USP10 encodes a ubiquitin peptidase that is required for endothelial Notch signaling during vascular development. Conclusions: We identified rare and de novo variants of USP10 that implicate USP10 as a new candidate gene for BAV.

scholarly journals Assessing the contribution of rare-to-common protein-coding variants to circulating metabolic biomarker levels via 412,394 UK Biobank exome sequences

2021 ◽  
Author(s):  
Abhishek Nag ◽  
Lawrence Middleton ◽  
Ryan S Dhindsa ◽  
Dimitrios Vitsios ◽  
Eleanor M Wigmore ◽  
...  
Keyword(s):  
Gene Networks ◽  
Rare Variants ◽  
Association Studies ◽  
Low Frequency ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Protein Coding ◽  
The Uk ◽  
Metabolic Biomarkers ◽  
Coding Variants

Genome-wide association studies have established the contribution of common and low frequency variants to metabolic biomarkers in the UK Biobank (UKB); however, the role of rare variants remains to be assessed systematically. We evaluated rare coding variants for 198 metabolic biomarkers, including metabolites assayed by Nightingale Health, using exome sequencing in participants from four genetically diverse ancestries in the UKB (N=412,394). Gene-level collapsing analysis, that evaluated a range of genetic architectures, identified a total of 1,303 significant relationships between genes and metabolic biomarkers (p<1x10-8), encompassing 207 distinct genes. These include associations between rare non-synonymous variants in GIGYF1 and glucose and lipid biomarkers, SYT7 and creatinine, and others, which may provide insights into novel disease biology. Comparing to a previous microarray-based genotyping study in the same cohort, we observed that 40% of gene-biomarker relationships identified in the collapsing analysis were novel. Finally, we applied Gene-SCOUT, a novel tool that utilises the gene-biomarker association statistics from the collapsing analysis to identify genes having similar biomarker fingerprints and thus expand our understanding of gene networks.

scholarly journals The Association Between Lysosomal Storage Disorder Genes and Parkinson’s Disease: A Large Cohort Study in Chinese Mainland Population

2021 ◽  
Vol 13 ◽  
Author(s):  
Yu-wen Zhao ◽  
Hong-xu Pan ◽  
Zhenhua Liu ◽  
Yige Wang ◽  
Qian Zeng ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Early Onset ◽  
Lysosomal Storage Disorder ◽  
Rare Variants ◽  
Late Onset ◽  
Chinese Mainland ◽  
Lysosomal Storage ◽  
Post Translational Modification ◽  
Storage Disorder

Background: Recent years have witnessed an increasing number of studies indicating an essential role of the lysosomal dysfunction in Parkinson’s disease (PD) at the genetic, biochemical, and cellular pathway levels. In this study, we investigated the association between rare variants in lysosomal storage disorder (LSD) genes and Chinese mainland PD.Methods: We explored the association between rare variants of 69 LSD genes and PD in 3,879 patients and 2,931 controls from Parkinson’s Disease &amp; Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC) using next-generation sequencing, which were analyzed by using the optimized sequence kernel association test.Results: We identified the significant burden of rare putative LSD gene variants in Chinese mainland patients with PD. This association was robust in familial or sporadic early-onset patients after excluding the GBA variants but not in sporadic late-onset patients. The burden analysis of variant sets in genes of LSD subgroups revealed a suggestive significant association between variant sets in genes of sphingolipidosis deficiency disorders and familial or sporadic early-onset patients. In contrast, variant sets in genes of sphingolipidoses, mucopolysaccharidoses, and post-translational modification defect disorders were suggestively associated with sporadic late-onset patients. Then, SMPD1 and other four novel genes (i.e., GUSB, CLN6, PPT1, and SCARB2) were suggestively associated with sporadic early-onset or familial patients, whereas GALNS and NAGA were suggestively associated with late-onset patients.Conclusion: Our findings supported the association between LSD genes and PD and revealed several novel risk genes in Chinese mainland patients with PD, which confirmed the importance of lysosomal mechanisms in PD pathogenesis. Moreover, we identified the genetic heterogeneity in early-onset and late-onset of patients with PD, which may provide valuable suggestions for the treatment.

scholarly journals An exome-wide sequencing study of lipid response to high-fat meal and fenofibrate in Caucasians from the GOLDN cohort

2018 ◽  
Vol 59 (4) ◽  
pp. 722-729 ◽  
Author(s):  
Xin Geng ◽  
Marguerite R. Irvin ◽  
Bertha Hidalgo ◽  
Stella Aslibekyan ◽  
Vinodh Srinivasasainagendra ◽  
...  
Keyword(s):  
Rare Variants ◽  
Transcript Level ◽  
Lipid Lowering ◽  
Gene Transcript ◽  
High Fat ◽  
Heart Study ◽  
Lipid Response ◽  
Coding Variants ◽  
Fat Meal ◽  
Meal Challenge

Our understanding of genetic influences on the response of lipids to specific interventions is limited. In this study, we sought to elucidate effects of rare genetic variants on lipid response to a high-fat meal challenge and fenofibrate (FFB) therapy in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) cohort using an exome-wide sequencing-based association study. Our results showed that the rare coding variants in ITGA7, SIPA1L2, and CEP72 are significantly associated with fasting LDL cholesterol response to FFB (P = 1.24E-07), triglyceride postprandial area under the increase (AUI) (P = 2.31E-06), and triglyceride postprandial AUI response to FFB (P = 1.88E-06), respectively. We sought to replicate the association for SIPA1L2 in the Heredity and Phenotype Intervention (HAPI) Heart Study, which included a high-fat meal challenge but not FFB treatment. The associated rare variants in GOLDN were not observed in the HAPI Heart study, and thus the gene-based result was not replicated. For functional validation, we found that gene transcript level of SIPA1L2 is associated with triglyceride postprandial AUI (P < 0.05) in GOLDN. Our study suggests unique genetic mechanisms contributing to the lipid response to the high-fat meal challenge and FFB therapy.

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