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Dive into the research topics where Alexandre Montpetit is active.

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Featured researches published by Alexandre Montpetit.


Nature | 2007

A genome-wide association study identifies novel risk loci for type 2 diabetes

Robert Sladek; Ghislain Rocheleau; Johan Rung; Christian Dina; Lishuang Shen; David Serre; Philippe Boutin; Daniel Vincent; Alexandre Belisle; Samy Hadjadj; Beverley Balkau; Barbara Heude; Guillaume Charpentier; Thomas J. Hudson; Alexandre Montpetit; Alexey V. Pshezhetsky; Marc Prentki; Barry I. Posner; David J. Balding; David Meyre; Constantin Polychronakos; Philippe Froguel

Type 2 diabetes mellitus results from the interaction of environmental factors with a combination of genetic variants, most of which were hitherto unknown. A systematic search for these variants was recently made possible by the development of high-density arrays that permit the genotyping of hundreds of thousands of polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a French case–control cohort. Markers with the most significant difference in genotype frequencies between cases of type 2 diabetes and controls were fast-tracked for testing in a second cohort. This identified four loci containing variants that confer type 2 diabetes risk, in addition to confirming the known association with the TCF7L2 gene. These loci include a non-synonymous polymorphism in the zinc transporter SLC30A8, which is expressed exclusively in insulin-producing β-cells, and two linkage disequilibrium blocks that contain genes potentially involved in β-cell development or function (IDE–KIF11–HHEX and EXT2–ALX4). These associations explain a substantial portion of disease risk and constitute proof of principle for the genome-wide approach to the elucidation of complex genetic traits.


Nature | 2012

Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma

Jeremy Schwartzentruber; Andrey Korshunov; Xiao Yang Liu; David T. W. Jones; Elke Pfaff; Karine Jacob; Dominik Sturm; Adam M. Fontebasso; Dong Anh Khuong Quang; Martje Tönjes; Volker Hovestadt; Steffen Albrecht; Marcel Kool; André Nantel; Carolin Konermann; Anders M. Lindroth; Natalie Jäger; Tobias Rausch; Marina Ryzhova; Jan O. Korbel; Thomas Hielscher; Péter Hauser; Miklós Garami; Almos Klekner; László Bognár; Martin Ebinger; Martin U. Schuhmann; Wolfram Scheurlen; Arnulf Pekrun; Michael C. Frühwald

Glioblastoma multiforme (GBM) is a lethal brain tumour in adults and children. However, DNA copy number and gene expression signatures indicate differences between adult and paediatric cases. To explore the genetic events underlying this distinction, we sequenced the exomes of 48 paediatric GBM samples. Somatic mutations in the H3.3-ATRX-DAXX chromatin remodelling pathway were identified in 44% of tumours (21/48). Recurrent mutations in H3F3A, which encodes the replication-independent histone 3 variant H3.3, were observed in 31% of tumours, and led to amino acid substitutions at two critical positions within the histone tail (K27M, G34R/G34V) involved in key regulatory post-translational modifications. Mutations in ATRX (α-thalassaemia/mental retardation syndrome X-linked) and DAXX (death-domain associated protein), encoding two subunits of a chromatin remodelling complex required for H3.3 incorporation at pericentric heterochromatin and telomeres, were identified in 31% of samples overall, and in 100% of tumours harbouring a G34R or G34V H3.3 mutation. Somatic TP53 mutations were identified in 54% of all cases, and in 86% of samples with H3F3A and/or ATRX mutations. Screening of a large cohort of gliomas of various grades and histologies (n = 784) showed H3F3A mutations to be specific to GBM and highly prevalent in children and young adults. Furthermore, the presence of H3F3A/ATRX-DAXX/TP53 mutations was strongly associated with alternative lengthening of telomeres and specific gene expression profiles. This is, to our knowledge, the first report to highlight recurrent mutations in a regulatory histone in humans, and our data suggest that defects of the chromatin architecture underlie paediatric and young adult GBM pathogenesis.


Nature Genetics | 2007

Genome-wide association scan identifies a colorectal cancer susceptibility locus on chromosome 8q24

Brent W. Zanke; Celia M. T. Greenwood; Jagadish Rangrej; Rafal Kustra; Albert Tenesa; Susan M. Farrington; James Prendergast; Sylviane Olschwang; Theodore Chiang; Edgar Crowdy; Vincent Ferretti; Philippe Laflamme; Saravanan Sundararajan; Stéphanie Roumy; Jean François Olivier; Frédérick Robidoux; Robert Sladek; Alexandre Montpetit; Peter J. Campbell; Stéphane Bézieau; Anne Marie O'Shea; George Zogopoulos; Michelle Cotterchio; Polly A. Newcomb; John R. McLaughlin; Ban Younghusband; Roger C. Green; Jane Green; Mary Porteous; Harry Campbell

Using a multistage genetic association approach comprising 7,480 affected individuals and 7,779 controls, we identified markers in chromosomal region 8q24 associated with colorectal cancer. In stage 1, we genotyped 99,632 SNPs in 1,257 affected individuals and 1,336 controls from Ontario. In stages 2–4, we performed serial replication studies using 4,024 affected individuals and 4,042 controls from Seattle, Newfoundland and Scotland. We identified one locus on chromosome 8q24 and another on 9p24 having combined odds ratios (OR) for stages 1–4 of 1.18 (trend; P = 1.41 × 10−8) and 1.14 (trend; P = 1.32 × 10−5), respectively. Additional analyses in 2,199 affected individuals and 2,401 controls from France and Europe supported the association at the 8q24 locus (OR = 1.16, trend; 95% confidence interval (c.i.): 1.07–1.26; P = 5.05 × 10−4). A summary across all seven studies at the 8q24 locus was highly significant (OR = 1.17, c.i.: 1.12–1.23; P = 3.16 × 10−11). This locus has also been implicated in prostate cancer.


Nature Genetics | 2008

Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21.

Albert Tenesa; Susan M. Farrington; James Prendergast; Mary Porteous; Marion Walker; Naila Haq; Rebecca A. Barnetson; Evropi Theodoratou; Roseanne Cetnarskyj; Nicola Cartwright; Colin A. Semple; Andy Clark; Fiona Reid; Lorna Smith; Thibaud Koessler; Paul Pharoah; Stephan Buch; Clemens Schafmayer; Jürgen Tepel; Stefan Schreiber; Henry Völzke; Carsten Schmidt; Jochen Hampe; Jenny Chang-Claude; Michael Hoffmeister; Hermann Brenner; Stefan Wilkening; Federico Canzian; Gabriel Capellá; Victor Moreno

In a genome-wide association study to identify loci associated with colorectal cancer (CRC) risk, we genotyped 555,510 SNPs in 1,012 early-onset Scottish CRC cases and 1,012 controls (phase 1). In phase 2, we genotyped the 15,008 highest-ranked SNPs in 2,057 Scottish cases and 2,111 controls. We then genotyped the five highest-ranked SNPs from the joint phase 1 and 2 analysis in 14,500 cases and 13,294 controls from seven populations, and identified a previously unreported association, rs3802842 on 11q23 (OR = 1.1; P = 5.8 × 10−10), showing population differences in risk. We also replicated and fine-mapped associations at 8q24 (rs7014346; OR = 1.19; P = 8.6 × 10−26) and 18q21 (rs4939827; OR = 1.2; P = 7.8 × 10−28). Risk was greater for rectal than for colon cancer for rs3802842 (P < 0.008) and rs4939827 (P < 0.009). Carrying all six possible risk alleles yielded OR = 2.6 (95% CI = 1.75–3.89) for CRC. These findings extend our understanding of the role of common genetic variation in CRC etiology.


Nature Genetics | 2009

Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations.

David Meyre; Jérôme Delplanque; Jean-Claude Chèvre; Cécile Lecoeur; Stéphane Lobbens; Sophie Gallina; Emmanuelle Durand; Vincent Vatin; Franck Degraeve; Christine Proença; Stefan Gaget; Antje Körner; Peter Kovacs; Wieland Kiess; Jean Tichet; Michel Marre; Anna-Liisa Hartikainen; Fritz Horber; Natascha Potoczna; Serge Hercberg; Claire Levy-Marchal; François Pattou; Barbara Heude; Maithe Tauber; Mark I. McCarthy; Alexandra I. F. Blakemore; Alexandre Montpetit; Constantin Polychronakos; Jacques Weill; Lachlan Coin

We analyzed genome-wide association data from 1,380 Europeans with early-onset and morbid adult obesity and 1,416 age-matched normal-weight controls. Thirty-eight markers showing strong association were further evaluated in 14,186 European subjects. In addition to FTO and MC4R, we detected significant association of obesity with three new risk loci in NPC1 (endosomal/lysosomal Niemann-Pick C1 gene, P = 2.9 × 10−7), near MAF (encoding the transcription factor c-MAF, P = 3.8 × 10−13) and near PTER (phosphotriesterase-related gene, P = 2.1 × 10−7).


Nature Genetics | 2008

Lung cancer susceptibility locus at 5p15.33

James D. McKay; Rayjean J. Hung; Valerie Gaborieau; Paolo Boffetta; Amelie Chabrier; Graham Byrnes; David Zaridze; Anush Mukeria; Neonilia Szeszenia-Dabrowska; Jolanta Lissowska; Peter Rudnai; Eleonora Fabianova; Dana Mates; Vladimir Bencko; Lenka Foretova; Vladimir Janout; John R. McLaughlin; Frances A. Shepherd; Alexandre Montpetit; Steven A. Narod; Hans E. Krokan; Frank Skorpen; Maiken Bratt Elvestad; Lars J. Vatten; Inger Njølstad; Tomas Axelsson; Chu Chen; Gary E. Goodman; Matt J. Barnett; Melissa M. Loomis

We carried out a genome-wide association study of lung cancer (3,259 cases and 4,159 controls), followed by replication in 2,899 cases and 5,573 controls. Two uncorrelated disease markers at 5p15.33, rs402710 and rs2736100 were detected by the genome-wide data (P = 2 × 10−7 and P = 4 × 10−6) and replicated by the independent study series (P = 7 × 10−5 and P = 0.016). The susceptibility region contains two genes, TERT and CLPTM1L, suggesting that one or both may have a role in lung cancer etiology.


Nature Genetics | 2008

Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer

Richard S. Houlston; Emily L. Webb; Peter Broderick; Alan Pittman; Maria Chiara Di Bernardo; Steven Lubbe; Ian Chandler; Jayaram Vijayakrishnan; Kate Sullivan; Steven Penegar; Luis Carvajal-Carmona; Kimberley Howarth; Emma Jaeger; Sarah L. Spain; Axel Walther; Ella Barclay; Lynn Martin; Maggie Gorman; Enric Domingo; Ana Teixeira; David Kerr; Jean-Baptiste Cazier; Iina Niittymäki; Sari Tuupanen; Auli Karhu; Lauri A. Aaltonen; Ian Tomlinson; Susan M. Farrington; Albert Tenesa; James Prendergast

Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly influence the risk of developing colorectal cancer (CRC). To enhance power to identify additional loci with similar effect sizes, we conducted a meta-analysis of two GWA studies, comprising 13,315 individuals genotyped for 38,710 common tagging SNPs. We undertook replication testing in up to eight independent case-control series comprising 27,418 subjects. We identified four previously unreported CRC risk loci at 14q22.2 (rs4444235, BMP4; P = 8.1 × 10−10), 16q22.1 (rs9929218, CDH1; P = 1.2 × 10−8), 19q13.1 (rs10411210, RHPN2; P = 4.6 × 10−9) and 20p12.3 (rs961253; P = 2.0 × 10−10). These findings underscore the value of large sample series for discovery and follow-up of genetic variants contributing to the etiology of CRC.


PLOS ONE | 2008

Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies.

Brendan J. Keating; Sam E. Tischfield; Sarah S. Murray; Tushar Bhangale; Thomas S. Price; Joseph T. Glessner; Luana Galver; Jeffrey C. Barrett; Struan F. A. Grant; Deborah N. Farlow; Hareesh R. Chandrupatla; Mark Hansen; Saad Ajmal; George J. Papanicolaou; Yiran Guo; Mingyao Li; Paul I. W. de Bakker; Swneke D. Bailey; Alexandre Montpetit; Andrew C. Edmondson; Kent D. Taylor; Xiaowu Gai; Susanna S. Wang; Myriam Fornage; Tamim H. Shaikh; Leif Groop; Michael Boehnke; Alistair S. Hall; Andrew T. Hattersley; Edward C. Frackelton

A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS). True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP) array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a “cosmopolitan” tagging approach to capture the genetic diversity across ∼2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.


Nature | 2004

Susceptibility to leprosy is associated with PARK2 and PACRG

Marcelo Távora Mira; Alexandre Alcaïs; Nguyen Van Thuc; Milton Ozório Moraes; Celestino Di Flumeri; Vu Hong Thai; Mai Chi Phuong; Nguyen Thu Huong; Nguyen Ngoc Ba; Pham Xuan Khoa; Euzenir Nunes Sarno; Andrea Alter; Alexandre Montpetit; Maria E. Moraes; J.R. Moraes; Carole Doré; Caroline J. Gallant; Pierre Lepage; Andrei Verner; Esther van de Vosse; Thomas J. Hudson; Laurent Abel; Erwin Schurr

Leprosy is caused by Mycobacterium leprae and affects about 700,000 individuals each year. It has long been thought that leprosy has a strong genetic component, and recently we mapped a leprosy susceptibility locus to chromosome 6 region q25–q26 (ref. 3). Here we investigate this region further by using a systematic association scan of the chromosomal interval most likely to harbour this leprosy susceptibility locus. In 197 Vietnamese families we found a significant association between leprosy and 17 markers located in a block of approx. 80 kilobases overlapping the 5′ regulatory region shared by the Parkinsons disease gene PARK2 and the co-regulated gene PACRG. Possession of as few as two of the 17 risk alleles was highly predictive of leprosy. This was confirmed in a sample of 975 unrelated leprosy cases and controls from Brazil in whom the same alleles were strongly associated with leprosy. Variants in the regulatory region shared by PARK2 and PACRG therefore act as common risk factors for leprosy.


Nature Genetics | 2009

Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia

Johan Rung; Stéphane Cauchi; Anders Albrechtsen; Lishuang Shen; Ghislain Rocheleau; Christine Cavalcanti-Proença; Francois Bacot; Beverley Balkau; Alexandre Belisle; Knut Borch-Johnsen; Guillaume Charpentier; Christian Dina; Emmanuelle Durand; Paul Elliott; Samy Hadjadj; Marjo-Riitta Järvelin; Jaana Laitinen; Torsten Lauritzen; Michel Marre; Alexander Mazur; D Meyre; Alexandre Montpetit; Charlotta Pisinger; Barry I. Posner; Pernille Poulsen; Anneli Pouta; Marc Prentki; Rasmus Ribel-Madsen; Aimo Ruokonen; Anelli Sandbaek

Genome-wide association studies have identified common variants that only partially explain the genetic risk for type 2 diabetes (T2D). Using genome-wide association data from 1,376 French individuals, we identified 16,360 SNPs nominally associated with T2D and studied these SNPs in an independent sample of 4,977 French individuals. We then selected the 28 best hits for replication in 7,698 Danish subjects and identified 4 SNPs showing strong association with T2D, one of which (rs2943641, P = 9.3 × 10−12, OR = 1.19) was located adjacent to the insulin receptor substrate 1 gene (IRS1). Unlike previously reported T2D risk loci, which predominantly associate with impaired beta cell function, the C allele of rs2943641 was associated with insulin resistance and hyperinsulinemia in 14,358 French, Danish and Finnish participants from population-based cohorts; this allele was also associated with reduced basal levels of IRS1 protein and decreased insulin induction of IRS1-associated phosphatidylinositol-3-OH kinase activity in human skeletal muscle biopsies.

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Thomas J. Hudson

Ontario Institute for Cancer Research

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Salim Yusuf

Population Health Research Institute

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Daniel Sinnett

Université de Montréal

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