ReviewHuman genetics2014
Application of quantile regression to recent genetic and -omic studies.
Review in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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Who cites it
11 citing papers in PubMed.
- A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease.Genetic epidemiology · 2025Article
- Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee.Frontiers in plant science · 2024Article
- Identifying important gene signatures of BMI using network structure-aided nonparametric quantile regression.Statistics in medicine · 2023Article
- TENSOR QUANTILE REGRESSION WITH APPLICATION TO ASSOCIATION BETWEEN NEUROIMAGES AND HUMAN INTELLIGENCE.The annals of applied statistics · 2021Article
- Is a mixture of arbuscular mycorrhizal fungi better for plant growth than single-species inoculants?Mycorrhiza · 2019Article
- Contribution of Four Polymorphisms in Renin-Angiotensin-Aldosterone-Related Genes to Hypertension in a Thai Population.International journal of hypertension · 2019Article
- Maltreatment, the Oxytocin Receptor Gene, and Conduct Problems Among Male and Female Teenagers.Frontiers in human neuroscience · 2018Article
- Quantile regression for genome-wide association study of flowering time-related traits in common bean.PloS one · 2018Article
- The trophoblast cell surface antigen 2 and miR-125b axis in urothelial bladder cancer.Oncotarget · 2017Article
- Article
- Quantile regression model for a diverse set of chemicals: application to acute toxicity for green algae.Journal of molecular modeling · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper provides a review of recent applications of quantile regression to the fields of genetic and the emerging -omic studies. It begins with a general background about this statistical approach following the seminal paper of Koenker and Bassett (Econometrica 46:33-50, 1978). Applications are described, as diverse as genetic association studies, penetrance estimation, gene expression, CGH array experiments, RNAseq experiments, methylation data and proteomics. This paper also introduces recent extensions of quantile regression with a particular focus on the Copula-quantile regression, an approach we recently proposed for sib-pair analysis. A real data example from eQTL analysis is then presented and the [Formula: see text] codes, which run the analyses are provided. Finally, we conclude with some statistical software presentation and some general statements about the potential and interests of quantile regression in modern biological experiments.
Indexed as
Identifiers
24770874What OpenQuestion holds
Registered trials
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.