Evidence map›Paper›PMID 20693321›Full record

ArticleBioinformatics (Oxford, England)2010

Association screening of common and rare genetic variants by penalized regression.

Hua Zhou, Mary E Sehl, Janet S Sinsheimer, Kenneth Lange

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed.

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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

4 authors.

Hua ZhouDepartment of Statistics, North Carolina State University, Raleigh, NC 27695-8203, USA. huazhou@ucla.edu
Mary E Sehl
Janet S Sinsheimer
Kenneth Lange

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
UCLA Career Development Program in Cancer Prevention and Control ResearchR25CA087949 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BASTANI, ROSHAN · 2000 to 2014
$6.8M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCI NIH HHS CA16042NCI NIH HHS CA87949NCI NIH HHS P30 CA016042NCI NIH HHS R25 CA087949NIGMS NIH HHS GM53275NIGMS NIH HHS R01 GM053275NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

motivationThis article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants.

resultsThe new strategy is tested on both simulated and real data. Our findings on breast cancer data replicate previous results and shed light on variant effects within genes. AVAILABILITY: Rare variant discovery by group penalized regression is now implemented in the free program Mendel at http://www.genetics.ucla.edu/software/.

Indexed as

Breast NeoplasmsDatabases, FactualFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansRegression Analysis

Identifiers

PMID20693321
PMCPMC3025646

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.