Evidence map›Paper›PMID 26411870›Full record

ArticleBioinformatics (Oxford, England)2016

JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis.

Recep Colak, TaeHyung Kim, Hilal Kazan, Yoomi Oh, Miguel Cruz, Adan Valladares-Salgado, Jesus Peralta, Jorge Escobedo, Esteban J Parra, Philip M Kim and 1 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Recep ColakDepartment of Computer Science, University of Toronto, M5S 2E4, Toronto, ON, Canada, Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, M5S 3E1, Toronto, ON, Canada.
TaeHyung KimDepartment of Computer Science, University of Toronto, M5S 2E4, Toronto, ON, Canada, Department of Computer Engineering, Antalya International University, 07190, Antalya, Turkey.
Hilal KazanDepartment of Computer Engineering, Antalya International University, 07190, Antalya, Turkey.
Yoomi OhDonnelly Centre for Cellular & Biomolecular Research, University of Toronto, M5S 3E1, Toronto, ON, Canada, Department of Molecular Genetics, University of Toronto, M5S 1A8, Toronto, ON, Canada.
Miguel CruzUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, IMSS, 06720, Mexico City, Mexico.
Adan Valladares-SalgadoUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, IMSS, 06720, Mexico City, Mexico.
Jesus PeraltaUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, IMSS, 06720, Mexico City, Mexico.
Jorge EscobedoUnidad de Investigación en Epidemiología Clínica, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Esteban J ParraDepartment of Anthropology, University of Toronto, L5L 1C6, Mississauga, ON, Canada.
Philip M KimDonnelly Centre for Cellular & Biomolecular Research, University of Toronto, M5S 3E1, Toronto, ON, Canada, Department of Molecular Genetics, University of Toronto, M5S 1A8, Toronto, ON, Canada, Genetics and Genome Biology, Hospital for Sick Children, M5G 0A4, Toronto, ON, Canada and Banting and Best Department of Medical Research, University of Toronto, M5G 1L6, Toronto, ON, Canada.
Anna GoldenbergDepartment of Computer Science, University of Toronto, M5S 2E4, Toronto, ON, Canada, Genetics and Genome Biology, Hospital for Sick Children, M5G 0A4, Toronto, ON, Canada and.

Funding

Canadian Institutes of Health Research MOP-123526
6 · The paper itself

Abstract

motivationRapid advances in genotyping and genome-wide association studies have enabled the discovery of many new genotype-phenotype associations at the resolution of individual markers. However, these associations explain only a small proportion of theoretically estimated heritability of most diseases. In this work, we propose an integrative mixture model called JBASE: joint Bayesian analysis of subphenotypes and epistasis. JBASE explores two major reasons of missing heritability: interactions between genetic variants, a phenomenon known as epistasis and phenotypic heterogeneity, addressed via subphenotyping.

resultsOur extensive simulations in a wide range of scenarios repeatedly demonstrate that JBASE can identify true underlying subphenotypes, including their associated variants and their interactions, with high precision. In the presence of phenotypic heterogeneity, JBASE has higher Power and lower Type 1 Error than five state-of-the-art approaches. We applied our method to a sample of individuals from Mexico with Type 2 diabetes and discovered two novel epistatic modules, including two loci each, that define two subphenotypes characterized by differences in body mass index and waist-to-hip ratio. We successfully replicated these subphenotypes and epistatic modules in an independent dataset from Mexico genotyped with a different platform. AVAILABILITY AND IMPLEMENTATION: JBASE is implemented in C++, supported on Linux and is available at http://www.cs.toronto.edu/∼goldenberg/JBASE/jbase.tar.gz. The genotype data underlying this study are available upon approval by the ethics review board of the Medical Centre Siglo XXI. Please contact Dr Miguel Cruz at mcruzl@yahoo.com for assistance with the application. CONTACT: anna.goldenberg@utoronto.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsEpistasis, GeneticPhenotypeBayes TheoremBody Mass IndexDiabetes Mellitus, Type 2Genome-Wide Association StudyGenotypeGenotyping TechniquesHumansMexicoWaist-Hip Ratio

Identifiers

PMID26411870
PMCPMC4708100

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.