Nimisha Chaturvedi
École Polytechnique Fédérale de Lausanne
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Publication
Featured researches published by Nimisha Chaturvedi.
Nature Genetics | 2017
M. Azim Ansari; Vincent Pedergnana; Camilla L. C. Ip; Andrea Magri; Annette von Delft; David Bonsall; Nimisha Chaturvedi; István Bartha; David L. Smith; George Nicholson; Gilean McVean; Amy Trebes; Paolo Piazza; Jacques Fellay; Graham S. Cooke; Graham R. Foster; Emma Hudson; John McLauchlan; Peter Simmonds; Rory Bowden; Paul Klenerman; Eleanor Barnes; Chris C. A. Spencer
Outcomes of hepatitis C virus (HCV) infection and treatment depend on viral and host genetic factors. Here we use human genome-wide genotyping arrays and new whole-genome HCV viral sequencing technologies to perform a systematic genome-to-genome study of 542 individuals who were chronically infected with HCV, predominantly genotype 3. We show that both alleles of genes encoding human leukocyte antigen molecules and genes encoding components of the interferon lambda innate immune system drive viral polymorphism. Additionally, we show that IFNL4 genotypes determine HCV viral load through a mechanism dependent on a specific amino acid residue in the HCV NS5A protein. These findings highlight the interplay between the innate immune system and the viral genome in HCV control.
PLOS Computational Biology | 2015
István Bartha; Antonio Rausell; Paul J. McLaren; Pejman Mohammadi; Manuel Tardaguila; Nimisha Chaturvedi; Jacques Fellay; Amalio Telenti
Sequencing projects have identified large numbers of rare stop-gain and frameshift variants in the human genome. As most of these are observed in the heterozygous state, they test a gene’s tolerance to haploinsufficiency and dominant loss of function. We analyzed the distribution of truncating variants across 16,260 autosomal protein coding genes in 11,546 individuals. We observed 39,893 truncating variants affecting 12,062 genes, which significantly differed from an expectation of 12,916 genes under a model of neutral de novo mutation (p<10−4). Extrapolating this to increasing numbers of sequenced individuals, we estimate that 10.8% of human genes do not tolerate heterozygous truncating variants. An additional 10 to 15% of truncated genes may be rescued by incomplete penetrance or compensatory mutations, or because the truncating variants are of limited functional impact. The study of protein truncating variants delineates the essential genome and, more generally, identifies rare heterozygous variants as an unexplored source of diversity of phenotypic traits and diseases.
Lancet Infectious Diseases | 2017
Laurent Abel; Jacques Fellay; David W. Haas; Erwin Schurr; Geetha Srikrishna; Michael Urbanowski; Nimisha Chaturvedi; Sudha Srinivasan; Daniel H. Johnson; William R. Bishai
Tuberculosis is an ancient human disease, estimated to have originated and evolved over thousands of years alongside modern human populations. Despite considerable advances in disease control, tuberculosis remains one of the worlds deadliest communicable diseases with 10 million incident cases and 1·8 million deaths in 2015 alone based on the annual WHO report, due to inadequate health service resources in less-developed regions of the world, and exacerbated by the HIV/AIDS pandemic and emergence of multidrug-resistant strains of Mycobacterium tuberculosis. Recent findings from studies of tuberculosis infection and of patients with Mendelian predisposition to severe tuberculosis have started to reveal human loci influencing tuberculosis outcomes. In this Review, we assess the current understanding of the contribution of host genetics to disease susceptibility and to drug treatment. Despite remarkable progress in technology, only a few associated genetic variants have so far been identified, strongly indicating the need for larger global studies that investigate both common and under-represented rare variants to develop new approaches to combat the disease. Pharmacogenomic discoveries are also likely to lead to more efficient drug design and development, and ultimately safer and more effective therapies for tuberculosis.
Genome Medicine | 2018
Petar Scepanovic; Cécile Alanio; Christian Hammer; Flavia Hodel; Jacob Bergstedt; Etienne Patin; Christian W. Thorball; Nimisha Chaturvedi; Bruno Charbit; Laurent Abel; Lluis Quintana-Murci; Darragh Duffy; Matthew L. Albert; Jacques Fellay; Andrés Alcover; Hugues Aschard; Philippe Bousso; Pierre Bruhns; Ana Cumano; Caroline Demangel; Ludovic Deriano; James P. Di Santo; Françoise Dromer; Gérard Eberl; Jost Enninga; Odile Gelpi; Ivo Gomperts-Boneca; Milena Hasan; Claude Leclerc; Hugo Mouquet
BackgroundHumoral immune responses to infectious agents or vaccination vary substantially among individuals, and many of the factors responsible for this variability remain to be defined. Current evidence suggests that human genetic variation influences (i) serum immunoglobulin levels, (ii) seroconversion rates, and (iii) intensity of antigen-specific immune responses. Here, we evaluated the impact of intrinsic (age and sex), environmental, and genetic factors on the variability of humoral response to common pathogens and vaccines.MethodsWe characterized the serological response to 15 antigens from common human pathogens or vaccines, in an age- and sex-stratified cohort of 1000 healthy individuals (Milieu Intérieur cohort). Using clinical-grade serological assays, we measured total IgA, IgE, IgG, and IgM levels, as well as qualitative (serostatus) and quantitative IgG responses to cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1 and 2, varicella zoster virus, Helicobacter pylori, Toxoplasma gondii, influenza A virus, measles, mumps, rubella, and hepatitis B virus. Following genome-wide genotyping of single nucleotide polymorphisms and imputation, we examined associations between ~ 5 million genetic variants and antibody responses using single marker and gene burden tests.ResultsWe identified age and sex as important determinants of humoral immunity, with older individuals and women having higher rates of seropositivity for most antigens. Genome-wide association studies revealed significant associations between variants in the human leukocyte antigen (HLA) class II region on chromosome 6 and anti-EBV and anti-rubella IgG levels. We used HLA imputation to fine map these associations to amino acid variants in the peptide-binding groove of HLA-DRβ1 and HLA-DPβ1, respectively. We also observed significant associations for total IgA levels with two loci on chromosome 2 and with specific KIR-HLA combinations.ConclusionsUsing extensive serological testing and genome-wide association analyses in a well-characterized cohort of healthy individuals, we demonstrated that age, sex, and specific human genetic variants contribute to inter-individual variability in humoral immunity. By highlighting genes and pathways implicated in the normal antibody response to frequently encountered antigens, these findings provide a basis to better understand disease pathogenesis.Trials registrationClinicalTrials.gov, NCT01699893
bioRxiv | 2018
Jatin Arora; Paul J. McLaren; Nimisha Chaturvedi; Mary Carrington; Jacques Fellay; Tobias L. Lenz
Genetic variation in the peptide-binding groove of the highly polymorphic human leukocyte antigen (HLA) class I molecules has repeatedly been associated with HIV-1 control and progression to AIDS, accounting for up to 12% of the variation in HIV-1 set point viral load (spVL). This suggests a key role in disease control for HLA presentation of HIV-1 epitopes to cytotoxic T cells. However, a comprehensive understanding of the relevant HLA-bound HIV epitopes is still elusive. Here we developed a peptidome-wide association study (PepWAS) approach that integrates HLA genotypes and spVL data from 6,311 HIV-infected patients to interrogate the entire HIV-1 proteome (3,252 unique peptides) for disease-relevant peptides. This PepWAS approach revealed a core set of epitopes associated with spVL, including previously characterized epitopes but also several novel disease-relevant peptides. More importantly, each patient presents only 16 (±7) and 6 (±6) of these core epitopes through their individual HLA-B and HLA-A variants, respectively. Differences in these patient-specific epitope repertoires account for almost all the variation in spVL previously associated with HLA genetic variation. PepWAS thus enables a comprehensive functional interpretation of the robust but little understood association between HLA and HIV-1 control, prioritizing a short and targetable list of disease-associated epitopes for personalized immunotherapy.
Journal of Viral Hepatitis | 2018
Samira Asgari; Nimisha Chaturvedi; Petar Scepanovic; Christian Hammer; Nasser Semmo; Emiliano Giostra; Beat Müllhaupt; Peter W Angus; Alexander J. Thompson; Darius Moradpour; Jacques Fellay
Acute liver failure (ALF) or fulminant hepatitis is a rare, yet severe outcome of infection with hepatitis B virus (HBV) that carries a high mortality rate. The occurrence of a life‐threatening condition upon infection with a prevalent virus in individuals without known risk factors is suggestive of pathogen‐specific immune dysregulation. In the absence of established differences in HBV virulence, we hypothesized that ALF upon primary infection with HBV could be due to rare deleterious variants in the human genome. To search for such variants, we performed exome sequencing in 21 previously healthy adults who required liver transplantation upon fulminant HBV infection and 172 controls that were positive for anti‐HBc and anti‐HBs but had no clinical history of jaundice or liver disease. After a series of hypothesis‐driven filtering steps, we searched for putatively pathogenic variants that were significantly associated with case‐control status. We did not find any causal variant or gene, a result that does not support the hypothesis of a shared monogenic basis for human susceptibility to HBV‐related ALF in adults. This study represents a first attempt at deciphering the human genetic contribution to the most severe clinical presentation of acute HBV infection in previously healthy individuals.
Frontiers in Genetics | 2018
Olivier Naret; Nimisha Chaturvedi; István Bartha; Christian Hammer; Jacques Fellay
Studies of host genetic determinants of pathogen sequence variations can identify sites of genomic conflicts, by highlighting variants that are implicated in immune response on the host side and adaptive escape on the pathogen side. However, systematic genetic differences in host and pathogen populations can lead to inflated type I (false positive) and type II (false negative) error rates in genome-wide association analyses. Here, we demonstrate through a simulation that correcting for both host and pathogen stratification reduces spurious signals and increases power to detect real associations in a variety of tested scenarios. We confirm the validity of the simulations by showing comparable results in an analysis of paired human and HIV genomes.
bioRxiv | 2014
István Bartha; Antonio Rausell; Paul J. McLaren; Manuel Tardaguila; Pejman Mohammadi; Nimisha Chaturvedi; Jacques Fellay; Amalio Telenti
Sequencing projects have identified large numbers of rare stop-gain and frameshift variants in the human genome. As most of these are observed in the heterozygous state, they test a gene’s tolerance to haploinsufficiency and dominant loss of function. We analyzed the distribution of truncating variants across 16,260 protein coding autosomal genes in 11,546 individuals. We observed 39,893 truncating variants affecting 12,062 genes, which significantly differed from an expectation of 12,916 genes under a model of neutral de novo mutation (p< 10−4). Extrapolating this to increasing numbers of sequenced individuals, we estimate that 10.8% of human genes do not tolerate heterozygous truncating variants. An additional 10 to 15% of truncated genes may be rescued by incomplete penetrance or compensatory mutations, or because the truncating variants are of limited functional impact. The study of protein truncating variants delineates the essential genome and, more generally, identifies rare heterozygous variants as an unexplored source of diversity of phenotypic traits and diseases
international parallel and distributed processing symposium | 2018
Raja Appuswamy; Jacques Fellay; Nimisha Chaturvedi
Journal of Hepatology | 2016
M. Azim Ansari; Vincent Pedergnana; David Bonsall; Nimisha Chaturvedi; István Bartha; Jacques Fellay; David P. Smith; Rory Bowden; Camilla L. C. Ip; Amy Trebes; Paolo Piazza; Graham R. Foster; Graham S. Cooke; Paul Klenerman; E. Barnes; Chris C. A. Spencer