Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Adaptive ridge regression for rare variant detection.

PloS one - 1 Jan 2012

Zhan Haimao, Xu Shizhong

Abstract excerpt

It is widely believed that both common and rare variants contribute to the risks of common diseases or complex traits and the cumulative effects of multiple rare variants can explain a significant proportion of trait variances. Advances in high-throughput DNA sequencing technologies allow us to genotype rare causal variants and investigate the effects of such rare variants on complex traits. We developed an...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Angiopoietin-Like Protein 3
Share to Angiopoietin-like Proteins
Share to Angiopoietins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Bayes Theorem

Share to Databases, Genetic

Share to Linear Models

Share to Regression Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 22952918
DOI: 10.1371/journal.pone.0044173
PMCID: PMC3429469

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Adaptive ridge regression for rare variant detection.PMID 22952918Read ↗

Detecting association of rare and common variants based on cross-validation prediction error.Semantic proximity Read ↗

Ridge regression in prediction problems: automatic choice of the ridge parameter.Semantic proximity Read ↗

Multilocus association mapping using generalized ridge logistic regression.Semantic proximity Read ↗

The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics.Semantic proximity Read ↗

Multiple regression methods show great potential for rare variant association tests.Semantic proximity Read ↗

A unified sparse representation for sequence variant identification for complex traits.Semantic proximity Read ↗

Heritability Estimation using a Regularized Regression Approach (HERRA): Applicable to continuous, dichotomous or age-at-onset outcome.Semantic proximity Read ↗

Efficient unified rare variant association test by modeling the population genetic distribution in case-control studies.Semantic proximity Read ↗

Evaluation of Penalized and Nonpenalized Methods for Disease Prediction with Large-Scale Genetic Data.Semantic proximity Read ↗

Detecting rare haplotypes associated with complex diseases using both population and family data: Combined logistic Bayesian Lasso.Semantic proximity Read ↗

Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection.Semantic proximity Read ↗

Longitudinal data analysis for rare variants detection with penalized quadratic inference function.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.