User profiles for Karim Oualkacha
Karim OualkachaUniversité du Québec à Montreal Verified email at uqam.ca Cited by 475 |
Adjusted sequence kernel association test for rare variants controlling for cryptic and family relatedness
K Oualkacha, Z Dastani, R Li, PE Cingolani… - Genetic …, 2013 - Wiley Online Library
Recent progress in sequencing technologies makes it possible to identify rare and unique
variants that may be associated with complex traits. However, the results of such efforts …
variants that may be associated with complex traits. However, the results of such efforts …
[HTML][HTML] On path to informing hierarchy of eplet mismatches as determinants of kidney transplant loss
H Mohammadhassanzadeh, K Oualkacha… - Kidney International …, 2021 - Elsevier
Introduction To mitigate risks related to human leukocyte antigen (HLA) incompatibility, we
assessed whether certain structurally defined HLA targets present in donors but absent from …
assessed whether certain structurally defined HLA targets present in donors but absent from …
[HTML][HTML] Dissecting the impact of molecular T-cell HLA mismatches in kidney transplant failure: A retrospective cohort study
Introduction Kidney transplantation is the optimal treatment in end-stage kidney disease, but
de-novo donor specific antibody development continues to negatively impact patients …
de-novo donor specific antibody development continues to negatively impact patients …
[HTML][HTML] Specific expression of novel long non-coding RNAs in high-hyperdiploid childhood acute lymphoblastic leukemia
…, R Gioia, MH Lafond, R Vidal, C Richer, K Oualkacha… - PLoS …, 2017 - journals.plos.org
Pre-B cell childhood acute lymphoblastic leukemia (pre-B cALL) is a heterogeneous
disease involving many subtypes typically stratified using a combination of cytogenetic and …
disease involving many subtypes typically stratified using a combination of cytogenetic and …
Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data
J St-Pierre, K Oualkacha, SR Bhatnagar - Bioinformatics, 2023 - academic.oup.com
Motivation Sparse regularized regression methods are now widely used in genome-wide
association studies (GWAS) to address the multiple testing burden that limits discovery of …
association studies (GWAS) to address the multiple testing burden that limits discovery of …
[HTML][HTML] Gene coexpression analyses differentiate networks associated with diverse cancers harboring TP53 missense or null mutations
K Oros Klein, K Oualkacha, MH Lafond… - Frontiers in …, 2016 - frontiersin.org
In a variety of solid cancers, missense mutations in the well-established TP53 tumor
suppressor gene may lead to the presence of a partially-functioning protein molecule, whereas …
suppressor gene may lead to the presence of a partially-functioning protein molecule, whereas …
[HTML][HTML] A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects
For region-based sequencing data, power to detect genetic associations can be improved
through analysis of multiple related phenotypes. With this motivation, we propose a novel test …
through analysis of multiple related phenotypes. With this motivation, we propose a novel test …
Constrained instruments and their application to Mendelian randomization with pleiotropy
L Jiang, K Oualkacha, V Didelez, A Ciampi… - Genetic …, 2019 - Wiley Online Library
In Mendelian randomization (MR), inference about causal relationship between a
phenotype of interest and a response or disease outcome can be obtained by constructing …
phenotype of interest and a response or disease outcome can be obtained by constructing …
Principal components of heritability for high dimension quantitative traits and general pedigrees
For many complex disorders, genetically relevant disease definition is still unclear. For this
reason, researchers tend to collect large numbers of items related directly or indirectly to the …
reason, researchers tend to collect large numbers of items related directly or indirectly to the …
The cluster correlation-network support vector machine for high-dimensional binary classification
R Kharoubi, K Oualkacha, A Mkhadri - Journal of Statistical …, 2019 - Taylor & Francis
Identifying homogeneous subsets of predictors in classification can be challenging in the
presence of high-dimensional data with highly correlated variables. We propose a new method …
presence of high-dimensional data with highly correlated variables. We propose a new method …