scholarly journals Comparison of statistical tests for disease association with rare variants

2011 ◽  
Vol 35 (7) ◽  
pp. 606-619 ◽  
Author(s):  
Saonli Basu ◽  
Wei Pan
2017 ◽  
Vol 62 (5) ◽  
pp. 549-552 ◽  
Author(s):  
Yu-Mei Li ◽  
Yang Xiang

2020 ◽  
Author(s):  
Samuel Hokin ◽  
Alan Cleary ◽  
Joann Mudge

Complex diseases, with many associated genetic and environmental factors, are a challenging target for genomic risk assessment. Genome-wide association studies (GWAS) associate disease status with, and compute risk from, individual common variants, which can be problematic for diseases with many interacting or rare variants. In addition, GWAS typically employ a reference genome which is not built from the subjects of the study, whose genetic background may differ from the reference and whose genetic characterization may be limited. We present a complementary method based on disease association with collections of genotypes, called frequented regions, on a pangenomic graph built from subjects' genomes. We introduce the pangenomic genotype graph, which is better suited than sequence graphs to human disease studies. Our method draws out collections of features, across multiple genomic segments, which are associated with disease status. We show that the frequented regions method consistently improves machine-learning classification of disease status over GWAS classification, allowing incorporation of rare or interacting variants. Notably, genomic segments that have few or no variants of genome-wide significance (p<5x10-8) provide much-improved classification with frequented regions, encouraging their application across the entire genome. Frequented regions may also be utilized for purposes such as choice of treatment in addition to prediction of disease risk.


2015 ◽  
Vol 79 (3) ◽  
pp. 199-208 ◽  
Author(s):  
Asuman S. Turkmen ◽  
Zhifei Yan ◽  
Yue-Qing Hu ◽  
Shili Lin

Author(s):  
Myvizhi Esai Selvan ◽  
Marjorie G. Zauderer ◽  
Charles M. Rudin ◽  
Siân Jones ◽  
Semanti Mukherjee ◽  
...  

ABSTRACTIntroductionLung cancer is the leading cause of cancer deaths in the world, and adenocarcinoma (LUAD) is its most prevalent subtype. Symptoms often appear in advanced disease when treatment options are limited. Identifying genetic risk factors will enable better identification of high-risk individuals.MethodsTo identify LUAD risk genes, we performed a case-control association study for gene-level burden of rare, deleterious variants (RDVs) in germline whole-exome sequencing (WES) data of 1,083 LUAD patients and 7,650 controls, split into discovery and validation cohorts. Of these, we performed WES on 97 patients and acquired the rest from multiple public databases. We annotated all rare variants for pathogenicity conservatively, using ACMG guidelines and ClinVar curation, and investigated gene-level RDV burden using penalized logistic regression. All statistical tests were two-sided.ResultsWe discovered and replicated the finding that the burden of germline ATM RDVs was significantly higher in LUAD patients versus controls (ORcombined=4.6; p=1.7e-04; 95% CI=2.2–9.5; 1.21% of cases; 0.24% of controls). Germline ATM RDVs were also enriched in an independent clinical cohort of 1,594 patients from the MSK-IMPACT study (0.63%). Additionally, we observed that an Ashkenazi Jewish (AJ) founder ATM variant, rs56009889, was statistically significantly more frequent in AJ cases versus AJ controls in our cohort (ORcombined, AJ=2.7, p=6.9e-03, 95% CI=1.3–5.3).ConclusionsOur results indicate that ATM is a moderate-penetrance LUAD risk gene, and that LUAD may be part of the ATM-related cancer syndrome spectrum. Individuals with ATM RDVs are at elevated LUAD risk and can benefit from increased surveillance (particularly CT scanning), early detection and chemoprevention programs, improving prognosis.


PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e42530 ◽  
Author(s):  
Silviu-Alin Bacanu ◽  
Matthew R. Nelson ◽  
John C. Whittaker

2020 ◽  
Vol 3 (5) ◽  
pp. 100-107
Author(s):  
Marina Camargo de Sousa ◽  
◽  
Julia Ronzani Vial ◽  
Rodrigo Hidalgo Friciello Teixeira ◽  
Andrea Cristina Higa Nakaghi ◽  
...  

Birds of the psittaciform order, composed by the Psittacidae and Loridae family have several characteristics making them more frequently kept as companion animals, promoting the increase of breeding sites in Brazil. The present study aimed to analyze the specificity and sensitivity of three different coproparasitological tests, Willis, Hoffman and Direto de feces, through statistical tests: Chi-Square and Kappa. 70 fecal samples of exotic parrots were collected from a commercial breeding site and these were submitted to the three tests, totaling 210 coproparasitological exams. Among the tests performed, 29,5% were positive for nematode eggs, cestodes and oocysts. Coproparasitological exams are inexpensive, have clinical importance, indicating the population of endoparasites and therapeutic treatments.


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