Journal articleHGG Adv · July 27, 2026
Meta-analysis of Genome-Wide Association Studies (GWAS) has important advantages, but it assumes that studies are independent, which does not hold when there is relatedness between studies. As a motivating example, recent work suggested applying sex-strati ...
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Journal articleKidney Int · June 2026
INTRODUCTION: Nephrotic syndrome (NS), a common glomerular disease in children, is classified based on response to corticosteroid therapy as either steroid-sensitive nephrotic syndrome (SSNS), or steroid-resistant nephrotic syndrome (SRNS). However, there ...
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Journal articleGenetics · February 4, 2026
Heritability is a fundamental parameter of diseases and other traits, quantifying the contribution of genetics to that trait. Kinship matrices are required for heritability estimation with variance components models. However, the most common "standard" kin ...
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Journal articleGenetics · May 4, 2023
Common genetic association models for structured populations, including principal component analysis (PCA) and linear mixed-effects models (LMMs), model the correlation structure between individuals using population kinship matrices, also known as genetic ...
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Journal articleElife · May 4, 2023
Principal Component Analysis (PCA) and the Linear Mixed-effects Model (LMM), sometimes in combination, are the most common genetic association models. Previous PCA-LMM comparisons give mixed results, unclear guidance, and have several limitations, includin ...
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Journal articleFront Pediatr · 2023
INTRODUCTION: The etiology of most cases of nephrotic syndrome (NS) remains unknown, therefore patients are phenotypically categorized based on response to corticosteroid therapy as steroid sensitive NS (SSNS), or steroid resistant NS (SRNS). Genetic risk ...
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Journal articleJCI Insight · January 25, 2022
We performed next-generation sequencing in patients with familial steroid-sensitive nephrotic syndrome (SSNS) and identified a homozygous segregating variant (p.H310Y) in the gene encoding clavesin-1 (CLVS1) in a consanguineous family with 3 affected indiv ...
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Journal articleTransplant Direct · October 2021
UNLABELLED: Recurrent focal segmental glomerulosclerosis (FSGS) after kidney transplantation accounts for the majority of allograft failures in children with primary FSGS. Although current research focuses on FSGS pathophysiology, a common etiology and mec ...
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Journal articleGenome Res · May 2021
High-throughput reporter assays such as self-transcribing active regulatory region sequencing (STARR-seq) have made it possible to measure regulatory element activity across the entire human genome at once. The resulting data, however, present substantial ...
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Journal articlePLoS Genet · January 2021
FST and kinship are key parameters often estimated in modern population genetics studies in order to quantitatively characterize structure and relatedness. Kinship matrices have also become a fundamental quantity used in genome-wide association studies and ...
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Journal article · 2019
Kinship coefficients and F ST , which measure genetic relatedness and the overall population structure, respectively, have important biomedical applications. However, existing estimators are only accurate under restrictive conditions that most natural pop ...
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Journal article · 2019
Modern genetic association studies require modeling population structure and family relatedness in order to calculate correct statistics. Principal Components Analysis (PCA) is one of the most common approaches for modeling this population structure, but n ...
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Journal articleBioinformatics · August 15, 2017
MOTIVATION: Protein domain prediction is one of the most powerful approaches for sequence-based function prediction. Although domain instances are typically predicted independently of each other, newer approaches have demonstrated improved performance by r ...
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Journal articleSci Rep · January 27, 2016
Lysine acetylation is a ubiquitous post-translational modification in many organisms including the malaria parasite Plasmodium falciparum, yet the full extent of acetylation across the parasite proteome remains unresolved. Moreover, the functional signific ...
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Journal article · 2016
Motivation Protein domain prediction is one of the most powerful approaches for sequence-based function prediction. While domain instances are typically predicted independently of each other, newer approaches have demonstrated improved performanc ...
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Journal article · 2016
F ST is a fundamental measure of genetic differentiation and population structure, currently defined for subdivided populations. F ST in practice typically assumes independent, non-overlapping subpopulations , which all split simultaneously from their la ...
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Journal article · 2016
F ST and kinship are key parameters often estimated in modern population genetics studies in order to quantitatively characterize structure and relatedness. Kinship matrices have also become a fundamental quantity used in genome-wide association studies an ...
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Journal articlePLoS Comput Biol · November 2015
E-values have been the dominant statistic for protein sequence analysis for the past two decades: from identifying statistically significant local sequence alignments to evaluating matches to hidden Markov models describing protein domain families. Here we ...
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Journal articleJ Virol · January 2014
Herpes simplex virus 1 (HSV-1) causes a chronic, lifelong infection in >60% of adults. Multiple recent vaccine trials have failed, with viral diversity likely contributing to these failures. To understand HSV-1 diversity better, we comprehensively compared ...
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Journal articleBMC Bioinformatics · March 31, 2011
BACKGROUND: Identifying domains in protein sequences is an important step in protein structural and functional annotation. Existing domain recognition methods typically evaluate each domain prediction independently of the rest. However, the majority of pro ...
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Journal articleProteins · September 1, 2007
The rotamer approximation states that protein side-chain conformations can be described well using a finite set of rotational isomers. This approximation is often applied in the context of computational protein design and structure prediction to reduce the ...
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