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ABSTRACT: We aim to identify rare variants that have large effects on trait variance using a cost-efficient strategy. We use an oligogenic segregation analysis as a prioritizing tool for whole-exome sequencing studies to identify families more likely to harbor rare variants, by estimating the mean number of quantitative trait loci (QTLs) in each family. We hypothesize that families with additional QTLs, relative to the other families, are more likely to segregate functional rare variants. We test the association of rare variants with the traits only in regions where at least modest evidence of linkage with the trait is observed, thereby reducing the number of tests performed. We found that family 7 harbored an estimated two, one, and zero additional QTLs for traits Q1, Q2, and Q4, respectively. Two rare variants (C4S4935 and C6S2981) segregating in family 7 were associated with Q1 and explained a substantial proportion of the observed linkage signal. These rare variants have 31 and 22 carriers, respectively, in the 128-member family and entered through a single but different founder. For Q2, we found one rare variant unique to family 7 that showed small effect and weak evidence of association; this was a false positive. These results are a proof of principle that prioritizing the sequencing of carefully selected extended families is a simple and cost-efficient design strategy for sequencing studies aiming at identifying functional rare variants.
BMC proceedings 11/2011; 5 Suppl 9:S11.
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Proton Rahman, Nicole M Roslin,
Fawnda J Pellett,
Mathieu Lemire,
Celia M T Greenwood,
Joseph Beyene,
Angela Pope,
Lynette Peddle,
Andrew D Paterson,
Mohammed Uddin,
Dafna D Gladman
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ABSTRACT: Psoriatic arthritis (PsA) has a clear familial predisposition, the major histocompatibility complex (MHC) region being the strongest genetic locus. The study primary objective was to identify single nucleotide polymorphisms (SNPs) independent of known human leucocyte antigen (HLA) alleles within the MHC region that are associated with PsA using a high-density SNP map.
In all, 914 samples were assessed, including 427 PsA cases from 2 well established PsA cohorts and 487 controls from Canada. The genotype data consisted of 2521 SNPs from 2 Illumina Goldengate MHC panels, spanning 4.9 Mb of chromosome 6 with an average spacing of 2 kb. Classical HLA alleles were genotyped in all subjects using sequence-specific oligonucleotide probes or sequence-specific primers. A conditioning approach was used to distinguish between new associations and those in linkage disequilibrium (LD) with known HLA alleles.
Unconditional association analysis revealed 43 markers with p<7.26×10(-5) (calculated experiment-wide significance threshold). In the conditional analysis, 10 SNPs showed statistically significant association at a threshold of p<7.26×10(-5). Seven SNPs were in strong LD in the study data (pairwise r(2) >0.77 in the controls) reflecting one association signal. These SNPs spanned a 1.6 Mb region. SNP rs1150735 is 1.5 kb upstream from ring finger protein 39 (RNF39). RNF39 SNPs have been associated with HIV1 disease progression and set point CD4 T cell count.
Four new loci for either psoriasis or PsA in the MHC region that are independent of known HLA alleles have been identified. The effect size of these variants is modest. Replication of these variants in multiple larger populations is necessary.
Annals of the rheumatic diseases 01/2011; 70(4):690-4. · 8.11 Impact Factor
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Miralem Mrkonjic, Nicole M Roslin,
Celia M Greenwood,
Stavroula Raptis,
Aaron Pollett,
Peter W Laird,
Vaijayanti V Pethe,
Theodore Chiang,
Darshana Daftary,
Elizabeth Dicks, [......],
Patrick S Parfrey,
H Banfield Younghusband,
John D Potter,
Thomas J Hudson,
John R McLaughlin,
Roger C Green,
Brent W Zanke,
Polly A Newcomb,
Andrew D Paterson,
Bharati Bapat
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ABSTRACT: We previously identified an association between a mismatch repair gene, MLH1, promoter SNP (rs1800734) and microsatellite unstable (MSI-H) colorectal cancers (CRCs) in two samples. The current study expanded on this finding as we explored the genetic basis of DNA methylation in this region of chromosome 3. We hypothesized that specific polymorphisms in the MLH1 gene region predispose it to DNA methylation, resulting in the loss of MLH1 gene expression, mismatch-repair function, and consequently to genome-wide microsatellite instability.
We first tested our hypothesis in one sample from Ontario (901 cases, 1,097 controls) and replicated major findings in two additional samples from Newfoundland and Labrador (479 cases, 336 controls) and from Seattle (591 cases, 629 controls). Logistic regression was used to test for association between SNPs in the region of MLH1 and CRC, MSI-H CRC, MLH1 gene expression in CRC, and DNA methylation in CRC. The association between rs1800734 and MSI-H CRCs, previously reported in Ontario and Newfoundland, was replicated in the Seattle sample. Two additional SNPs, in strong linkage disequilibrium with rs1800734, showed strong associations with MLH1 promoter methylation, loss of MLH1 protein, and MSI-H CRC in all three samples. The logistic regression model of MSI-H CRC that included MLH1-promoter-methylation status and MLH1 immunohistochemistry status fit most parsimoniously in all three samples combined. When rs1800734 was added to this model, its effect was not statistically significant (P-value = 0.72 vs. 2.3×10(-4) when the SNP was examined alone).
The observed association of rs1800734 with MSI-H CRC occurs through its effect on the MLH1 promoter methylation, MLH1 IHC deficiency, or both.
PLoS ONE 01/2010; 5(10):e13314. · 4.09 Impact Factor
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ABSTRACT: Due to rapid technological advances, various types of genomic and proteomic data with different sizes, formats, and structures have become available. Among them are gene expression, single nucleotide polymorphism, copy number variation, and protein-protein/gene-gene interactions. Each of these distinct data types provides a different, partly independent and complementary, view of the whole genome. However, understanding functions of genes, proteins, and other aspects of the genome requires more information than provided by each of the datasets. Integrating data from different sources is, therefore, an important part of current research in genomics and proteomics. Data integration also plays important roles in combining clinical, environmental, and demographic data with high-throughput genomic data. Nevertheless, the concept of data integration is not well defined in the literature and it may mean different things to different researchers. In this paper, we first propose a conceptual framework for integrating genetic, genomic, and proteomic data. The framework captures fundamental aspects of data integration and is developed taking the key steps in genetic, genomic, and proteomic data fusion. Secondly, we provide a review of some of the most commonly used current methods and approaches for combining genomic data with focus on the statistical aspects.
Human Genomics and Proteomics 01/2009; 2009.
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ABSTRACT: ABSTRACT : We propose the use of latent growth curve model to assess the influence of genetic, environmental, demographic, and lifestyle factors on multiple phenotypes related to coronary heart disease. We model four quantitative traits (systolic blood pressure, high-density lipoprotein, low-density lipoprotein, and triglycerides) simultaneously in a multivariate framework that allows us to study their change over time, assess individual variation, and investigate cross-phenotype relationships. Environmental, demographic, and lifestyle covariates are included at different levels of the model as time-varying or time-invariant, as appropriate. To investigate the change over time attributed to genetic factors, we use candidate markers that have previously been shown to be associated with the quantitative traits. We illustrate our approach using independent observations from the offspring cohort of the Framingham Heart Study data.
BMC proceedings 01/2009; 3 Suppl 7:S44.
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ABSTRACT: ABSTRACT : Multivariate linear growth curves were used to model high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and systolic blood pressure (SBP) measured during four exams from 1659 independent individuals from the Framingham Heart Study. The slopes and intercepts from each of two phenotype models were tested for association with 348,053 autosomal single-nucleotide polymorphisms from the Affymetrix Gene Chip 500 k set. Three regions were associated with LDL intercept, TG slope, and SBP intercept (p < 1.44 x 10-7). We observed results consistent with previously reported associations between rs599839, on chromosome 1p13, and LDL. We note that the association is significant with LDL intercept but not slope. Markers on chromosome 17q25 were associated with TG slope, and a single-nucleotide polymorphism on chromosome 7p11 was associated with SBP intercept. Growth curve models can be used to gain more insight on the relationships between SNPs and traits than traditional association analysis when longitudinal data has been collected. The power to detect association with changes over time may be limited if the subjects are not followed over a long enough time period.
BMC proceedings 01/2009; 3 Suppl 7:S117.
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Canadian Journal of Statistics 12/2008; 30(1):158 - 167. · 0.67 Impact Factor
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James C Engert,
Mathieu Lemire,
Janet Faith,
Diane Brisson,
T Mary Fujiwara, Nicole M Roslin,
Carl G Brewer,
Alexandre Montpetit,
Corinne Darmond-Zwaig,
Yannick Renaud, [......],
Swneke D Bailey,
Andrei Verner,
Gérald Tremblay,
Julie St-Pierre,
Christine Bétard,
Jill Platko,
John D Rioux,
Kenneth Morgan,
Thomas J Hudson,
Daniel Gaudet
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ABSTRACT: Susceptibility to coronary heart disease (CHD) has long been known to exhibit familial aggregation, with heritability estimated to be greater than 50%. The French Canadian population of the Saguenay-Lac Saint-Jean region of Quebec, Canada is descended from a founder population that settled this region 300-400 years ago and this may provide increased power to detect genes contributing to complex traits such as CHD. Probands with early-onset CHD, defined by angiographically determined coronary stenosis, and their relatives were recruited from this population (average sibship size of 6.4). Linkage analysis was performed following a genome-wide microsatellite marker scan on 42 families with 284 individuals. Nonparametric linkage (NPL) analysis provided suggestive evidence for a CHD susceptibility locus on chromosome 8 with an NPL score of 3.14 (P=0.001) at D8S1106. Linkage to this locus was verified by fine mapping in an enlarged sample of 50 families with 320 individuals. This analysis provided evidence of linkage at D8S552 (NPL score=3.53, P=0.0003), a marker that maps to the same location as D8S1106. Candidate genes in this region, including macrophage scavenger receptor 1, farnesyl-diphosphate farnesyltransferase 1, fibrinogen-like 1, and GATA-binding protein 4, were resequenced in all coding exons in both affected and unaffected individuals. Association studies with variants in these and five other genes did not identify a disease-associated mutation. In conclusion, a genome-wide scan and additional fine mapping provide evidence for a locus on chromosome 8 that contributes to CHD in a French Canadian population.
European Journal of HumanGenetics 02/2008; 16(1):105-14. · 4.40 Impact Factor
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Martin Hrebícek,
Lenka Mrázová,
Volkan Seyrantepe,
Stéphanie Durand, Nicole M Roslin,
Lenka Nosková,
Hana Hartmannová,
Robert Ivánek,
Alena Cízkova,
Helena Poupetová, [......],
Ben J H M Poorthuis,
Jiddeke van de Kamp,
Otto P van Diggelen,
Ron A Wevers,
Thomas J Hudson,
T Mary Fujiwara,
Jacek Majewski,
Kenneth Morgan,
Stanislav Kmoch,
Alexey V Pshezhetsky
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ABSTRACT: Mucopolysaccharidosis IIIC (MPS IIIC, or Sanfilippo C syndrome) is a lysosomal storage disorder caused by the inherited deficiency of the lysosomal membrane enzyme acetyl-coenzyme A: alpha -glucosaminide N-acetyltransferase (N-acetyltransferase), which leads to impaired degradation of heparan sulfate. We report the narrowing of the candidate region to a 2.6-cM interval between D8S1051 and D8S1831 and the identification of the transmembrane protein 76 gene (TMEM76), which encodes a 73-kDa protein with predicted multiple transmembrane domains and glycosylation sites, as the gene that causes MPS IIIC when it is mutated. Four nonsense mutations, 3 frameshift mutations due to deletions or a duplication, 6 splice-site mutations, and 14 missense mutations were identified among 30 probands with MPS IIIC. Functional expression of human TMEM76 and the mouse ortholog demonstrates that it is the gene that encodes the lysosomal N-acetyltransferase and suggests that this enzyme belongs to a new structural class of proteins that transport the activated acetyl residues across the cell membrane.
The American Journal of Human Genetics 12/2006; 79(5):807-19. · 10.60 Impact Factor
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Clemens Bergwitz, Nicole M Roslin,
Martin Tieder,
J C Loredo-Osti,
Murat Bastepe,
Hilal Abu-Zahra,
Danielle Frappier,
Kelly Burkett,
Thomas O Carpenter,
Donald Anderson,
Michele Garabedian,
Isabelle Sermet,
T Mary Fujiwara,
Kenneth Morgan,
Harriet S Tenenhouse,
Harald Juppner
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ABSTRACT: Hereditary hypophosphatemic rickets with hypercalciuria (HHRH) is a rare disorder of autosomal recessive inheritance that was first described in a large consanguineous Bedouin kindred. HHRH is characterized by the presence of hypophosphatemia secondary to renal phosphate wasting, radiographic and/or histological evidence of rickets, limb deformities, muscle weakness, and bone pain. HHRH is distinct from other forms of hypophosphatemic rickets in that affected individuals present with hypercalciuria due to increased serum 1,25-dihydroxyvitamin D levels and increased intestinal calcium absorption. We performed a genomewide linkage scan combined with homozygosity mapping, using genomic DNA from a large consanguineous Bedouin kindred that included 10 patients who received the diagnosis of HHRH. The disease mapped to a 1.6-Mbp region on chromosome 9q34, which contains SLC34A3, the gene encoding the renal sodium-phosphate cotransporter NaP(i)-IIc. Nucleotide sequence analysis revealed a homozygous single-nucleotide deletion (c.228delC) in this candidate gene in all individuals affected by HHRH. This mutation is predicted to truncate the NaP(i)-IIc protein in the first membrane-spanning domain and thus likely results in a complete loss of function of this protein in individuals homozygous for c.228delC. In addition, compound heterozygous missense and deletion mutations were found in three additional unrelated HHRH kindreds, which supports the conclusion that this disease is caused by SLC34A3 mutations affecting both alleles. Individuals of the investigated kindreds who were heterozygous for a SLC34A3 mutation frequently showed hypercalciuria, often in association with mild hypophosphatemia and/or elevations in 1,25-dihydroxyvitamin D levels. We conclude that NaP(i)-IIc has a key role in the regulation of phosphate homeostasis.
The American Journal of Human Genetics 03/2006; 78(2):179-92. · 10.60 Impact Factor
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ABSTRACT: The quantitative genetics of urine calcium excretion has not been established. It is a trait of interest because hypercalciuria is commonly found in subjects with nephrolithiasis. The aim of this study was to model the segregation of this trait in a sample of French-Canadian families ascertained through a stone former.
Major gene, polygenic, and mixed models were fit to 24-hour urine calcium excretion from 567 individuals in 221 nuclear families, while simultaneously taking into account gender, age at examination, body mass index (BMI), and the use of thiazide drugs. The nuclear families were extracted from 154 pedigrees, some of which were four generations, with at least two siblings with a history of calcium stones.
All the proposed genetic models fit the data significantly better than the null model. The most parsimonious model was the mixed codominant/polygenic model but it was statistically indistinguishable from the single-gene codominant model. In both of these models the heritability attributable to the major gene was estimated to be 0.58.
Our results suggest that a major gene with a relatively large effect on variation in urine calcium excretion is segregating in French-Canadian families with stone formers. This implies that the power of quantitative trait segregation analysis of urine calcium excretion may be increased in these families, and results indicate that it should be feasible to genetically map the quantitative trait locus.
Kidney International 10/2005; 68(3):966-71. · 6.61 Impact Factor
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Patrick Frosk,
Cheryl R Greenberg,
Alysa A P Tennese,
Ryan Lamont,
Edward Nylen,
Cheryl Hirst,
Danielle Frappier, Nicole M Roslin,
Michaela Zaik,
Kate Bushby,
Volker Straub,
Mayana Zatz,
Flavia de Paula,
Kenneth Morgan,
T Mary Fujiwara,
Klaus Wrogemann
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ABSTRACT: Limb girdle muscular dystrophy (LGMD) is common in the Hutterite population of North America. We previously identified a mutation in the TRIM32 gene in chromosome region 9q32, causing LGMD2H in approximately two-thirds of the 60 Hutterite LGMD patients studied to date. A genomewide scan was undertaken in five families who did not show linkage to the LGMD2H locus on chromosome 9. A second LGMD locus, LGMD2I, was identified in chromosome region 19q13.3, and the causative mutation was identified as c.826C>A (L276I), a missense mutation in the FKRP gene. A comparison of the clinical characteristics of the two LGMD patient groups in this population reveals some differences. LGMD2I patients generally have an earlier age at diagnosis, a more severe course, and higher serum creatine kinase (CK) levels. In addition, some of these patients show calf hypertrophy, cardiac symptoms, and severe reactions to general anesthesia. None of these features are present among LGMD2H patients. A single common haplotype surrounding the FKRP gene was identified in the Hutterite LGMD2I patients. An identical core haplotype was also identified in 19 other non-Hutterite LGMD2I patients from Europe, Canada, and Brazil. The occurrence of this mutation on a common core haplotype suggests that L276I is a founder mutation that is dispersed among populations of European origin.
Human Mutation 02/2005; 25(1):38-44. · 5.69 Impact Factor
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Ryan E Lamont,
Jc Loredo-Osti, Nicole M Roslin,
Jill Mauthe,
Gail Coghlan,
Edward Nylen,
Danielle Frappier,
A Micheil Innes,
Edward G Lemire,
R Brian Lowry,
Cheryl R Greenberg,
Barbara L Triggs-Raine,
Kenneth Morgan,
Klaus Wrogemann,
T Mary Fujiwara,
Teresa Zelinski
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ABSTRACT: Bowen-Conradi syndrome (BCS) is a lethal autosomal recessive disorder with an estimated incidence of 1 in 355 live births in the Hutterite population. A few cases have been reported in other populations. Here, we report the results of a genome-wide scan and fine mapping of the BCS locus in Hutterite families. By linkage and haplotype analysis the BCS locus was mapped to a 3.5 cM segment (1.9 Mbp) in chromosome region 12p13.3 bounded by F8VWF and D12S397. When genealogical relationships among the families were taken into account in the linkage analysis, the evidence for linkage was stronger and the number of potentially linked regions was reduced to one. Under the assumption that all the Hutterite patients were identical by descent for a disease-causing mutation, haplotype analysis was used to infer likely historical recombinants and thereby narrow the candidate region to a chromosomal segment shared in common by all the affected children. This study also demonstrates that BCS and cerebro-oculo-facial-skeletal syndrome (COFS) are genetically distinct.
American Journal of Medical Genetics Part A 02/2005; 132A(2):136-43. · 2.39 Impact Factor
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ABSTRACT: We studied the effect of transmission-ratio distortion (TRD) on tests of linkage based on allele sharing in affected sib pairs. We developed and implemented a discrete-trait allele-sharing test statistic, Sad, analogous to the Spairs test statistic of Whittemore and Halpern, that evaluates an excess sharing of alleles at autosomal loci in pairs of affected siblings, as well as a lack of sharing in phenotypically discordant relative pairs, where available. Under the null hypothesis of no linkage, nuclear families with at least two affected siblings and one unaffected sibling have a contribution to Sad that is unbiased, with respect to the effects of TRD independent of the disease under study. If more distantly related unaffected individuals are studied, the bias of Sad is generally reduced compared with that of Spairs, but not completely. Moreover, Sad has higher power, in some circumstances, because of the availability of unaffected relatives, who are ignored in affected-only analyses. We discuss situations in which it may be an efficient use of resources to genotype unaffected relatives, which would give insights for promising study designs. The method is applied to a sample of pedigrees ascertained for asthma in a chromosomal region in which TRD has been reported. Results are consistent with the presence of transmission distortion in that region.
The American Journal of Human Genetics 11/2004; 75(4):571-86. · 10.60 Impact Factor
