Evidence map›Paper›PMID 37220626›Full record

ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2020

A simple new approach to variable selection in regression, with application to genetic fine mapping.

Gao Wang, Abhishek Sarkar, Peter Carbonetto, Matthew Stephens

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 709 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
709citing papers in PubMed, 13 pooled it
42.5field-weighted citation impact, top 1% of its field
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

709 citing papers in PubMed, 13 syntheses or guidelines pooled it, 1,078 citations in OpenAlex.

  1. Genome-wide meta-analysis with 1,590,596 individuals identifies 12 novel risk loci for systemic lupus erythematosus.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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649 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 at 1 institution in 1 country.

Gao WangDepartment of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA.
Abhishek SarkarDepartment of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA.
Peter CarbonettoDepartment of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA.
Matthew StephensDepartment of Human Genetics, The University of Chicago, Chicago, IL, 60637, USA.
University of Chicago · US

Funding

Genome analysis: statistical methods and applicationsR01HG002585 · NHGRI · UNIVERSITY OF WASHINGTON · PI MATTHEW STEPHENS · 2002 to 2026
$8.4M
Genome analysis: statistical methods and applicationsR56HG002585 · NHGRI · UNIVERSITY OF CHICAGO · PI STEPHENS, MATTHEW · 2023 to 2023
$292k
NHGRI NIH HHS R01 HG002585NHGRI NIH HHS R56 HG002585
6 · The paper itself

Abstract

We introduce a simple new approach to variable selection in linear regression, with a particular focus on

Indexed as

genetic fine-mappinglinear regressionsparsevariable selectionvariational inference

Identifiers

PMID37220626
PMCPMC10201948
OpenAlexW3042068575

What OpenQuestion holds

Textmetadata
LicenceTDM
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.