Evidence map›Paper›PMID 35747247›Full record

ArticleBioinformatics advances2022

fdrci: FDR confidence interval selection and adjustment for large-scale hypothesis testing.

Joshua Millstein, Francesca Battaglin, Hiroyuki Arai, Wu Zhang, Priya Jayachandran, Shivani Soni, Aparna R Parikh, Christoph Mancao, Heinz-Josef Lenz

Abstract read
In one paragraph

Article in Bioinformatics advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

9 authors.

Joshua MillsteinDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0001-7961-8943
Francesca BattaglinDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Hiroyuki AraiDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Wu ZhangDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Priya JayachandranDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Shivani SoniDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Aparna R ParikhDivision of Hematology and Oncology, Massachusetts General Hospital, Boston, MA 02114, USA.
Christoph MancaoBiomarker Development, Innovent Biologics, Suzhou 215123, China.
Heinz-Josef LenzDivision of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul Marjoram · 2016 to 2026
$25.5M
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN, FINCH, CALEB E · 2018 to 2022
$11.5M
The Integrative Genomics of Acute Asthma ControlR01HL118455 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MILLSTEIN, JOSHUA, RABY, BENJAMIN ALEXANDER · 2014 to 2024
$6.5M
Impact of Sugars and Human Milk Oligosaccharides on Infant Microbiome and ObesityR01DK110793 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GORAN, MICHAEL ISAAC, PETERSON, BRADLEY S · 2017 to 2024
$6.0M
Linking DNA methylation with child maltreatment and mental health across adolescenceR01HD098161 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI NEGRIFF, SONYA L · 2020 to 2024
$3.1M
NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA014089NHLBI NIH HHS R01 HL118455NIA NIH HHS P01 AG055367NICHD NIH HHS R01 HD098161NIDDK NIH HHS R01 DK110793
6 · The paper itself

Abstract

Motivation: Approaches that control error by applying a priori fixed discovery thresholds such as 0.05 limit the ability of investigators to identify and publish weak effects even when evidence suggests that such effects exist. However, current false discovery rate (FDR) estimation methods lack a principled approach for Results: We describe a flexible approach that hinges on the precision of a permutation-based FDR estimator. A series of discovery thresholds are proposed, and an FDR confidence interval selection and adjustment technique is used to identify intervals that do not cover one, implying that some discoveries are expected to be true. We report an application to a transcriptome-wide association study of the MAVERICC clinical trial involving patients with metastatic colorectal cancer. Several genes are identified whose predicted expression is associated with progression-free or overall survival. Availability and implementation: Software is provided via the CRAN repository (https://cran.r-project.org/web/packages/fdrci/index.html). Supplementary information: Supplementary data are available at

Identifiers

PMID35747247
PMCPMC9210923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.