Evidence map›Paper›PMID 37547462›Full record

ArticleFrontiers in genetics2023

Missingness adapted group informed clustered (MAGIC)-LASSO: a novel paradigm for phenotype prediction to improve power for genetic loci discovery.

Amanda Elswick Gentry, Robert M Kirkpatrick, Roseann E Peterson, Bradley T Webb

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Amanda Elswick GentryDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.
Robert M KirkpatrickDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.
Roseann E PetersonDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.
Bradley T WebbDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.

Funding

Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Amy Wolven Lasek · 2014 to 2026
$19.6M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Cross-Population Working Group on Genes and Environment in Major Depression (POP-GEM): Advancing the Understating of Etiology through DiversityR01MH125938 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Roseann Elizabeth Peterson · 2022 to 2026
$4.2M
Leveraging sources of heterogeneity to delineate the genetic architecture of major depressive disorderK01MH113848 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI PETERSON, ROSEANN ELIZABETH · 2018 to 2020
$546k
Adapting machine learning methods to detect genetic loci specific to strictly defined MDDR21MH126358 · NIMH · RESEARCH TRIANGLE INSTITUTE · PI WEBB, BRADLEY TODD · 2021 to 2022
$417k
NIAAA NIH HHS P50 AA022537NIMH NIH HHS K01 MH113848NIMH NIH HHS R01 MH125938NIMH NIH HHS R21 MH126358NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

alcohol consumptiongeneticsGWASLASSOmachine learningmissingnesspredictionUK biobank

Identifiers

PMID37547462
PMCPMC10399453

What OpenQuestion holds

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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.