Evidence map›Paper›PMID 40255935›Full record

ArticleIEEE data descriptions2024

Descriptor:

Xinyue Wang, Sitao Min, Jaideep Vaidya

Abstract read
In one paragraph

Article in IEEE data descriptions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xinyue WangCenter for Applied Statistics and School of Statistics, Renmin University of China, Beijing 100872, China.ORCID 0000-0002-5837-5361
Sitao MinMSIS, Rutgers University, Newark, NJ 07102 USA.ORCID 0009-0003-1053-5201
Jaideep VaidyaMSIS, Rutgers University, Newark, NJ 07102 USA.ORCID 0000-0002-7420-6947

Funding

Accelerating Genomic Data Sharing and Collaborative Research with Privacy ProtectionR01LM014520 · NLM · CASE WESTERN RESERVE UNIVERSITY · PI Erman Ayday, Xiaoqian Jiang · 2023 to 2026
$2.6M
Supplement for high performance compute clustersR35GM134927 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI VAIDYA, JAIDEEP · 2020 to 2024
$2.1M
NIGMS NIH HHS R35 GM134927NLM NIH HHS R01 LM014520
6 · The paper itself

Abstract

Advancements in genomic analysis techniques and data-driven research are driving precision medicine. However, in many cases, these advances are not equitable and do not help all subpopulations, since many existing genomic datasets lack diversity, limiting their applicability for studying populations beyond those of European ancestry. Thus, to advance genomic analysis and to allow for a fair benchmarking of novel proposed approaches, there is a significant demand for balanced and representative datasets. To address this issue, we developed,

Indexed as

All of Usdiverse subpopulationsgenomic analysissynthetic genomic data

Identifiers

PMID40255935
PMCPMC12007885

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.