Evidence map›Paper›PMID 41836198›Full record

ArticleCOVID2025

Gene-Level Analyses of Novel Olfactory-Related Signal from Severe SARS-CoV-2 GWAS Reveal Association with Disease Mortality.

Yu Chen Zhao, Xinan Wang, Yujia Lu, Rounak Dey, Yuchen Liu, Francesca Giacona, Elizabeth A Abe, Emma White, Li Su, Qingyi Wei and 4 more

Abstract read
In one paragraph

Article in COVID, 2025. 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

14 authors.

Yu Chen ZhaoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Xinan WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Yujia LuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Rounak DeyDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Yuchen LiuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-6231-4414
Francesca GiaconaPulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Elizabeth A AbePulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0009-0006-6283-0562
Emma WhitePulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Qingyi WeiDepartment of Medicine, Duke University School of Medicine, Durham, NC 27710, USA.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Jehan AlladinaPulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-0136-6859
David C ChristianiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-0301-0242

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Institutional Career Development CoreKL2TR002542 · NCATS · HARVARD MEDICAL SCHOOL · PI BREDELLA, MIRIAM ANTOINETTE, RUTKOVE, SEWARD B. · 2018 to 2022
$8.7M
MOLECULAR EPIDEMIOLOGY OF ARDSR01HL060710 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2000 to 2015
$8.4M
Statistical Methods for Integrative Analysis of Large-Scale Whole Genome Sequencing Studies and Biobanks of Common DiseasesR01HL163560 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2022 to 2026
$2.6M
Whole Blood MicroRNAs as Risk and Survival Biomarkers for ARDSR56HL134356 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHRISTIANI, DAVID C · 2016 to 2016
$570k
NCATS NIH HHS KL2 TR002542NHLBI NIH HHS R01 HL060710NHLBI NIH HHS R01 HL163560NHLBI NIH HHS R56 HL134356NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

Importance: The coronavirus disease 2019 (COVID-19) was the third leading cause of mortality in the United States for three years in a row. The genetic contributions to disease severity remain unclear and many previously identified single nucleotide polymorphisms (SNPs) have not been replicated nor linked with functional significance. Objective: To identify SNPs associated with mortality among hospitalized COVID-19 patients supplemented by expression quantitative trait loci (eQTL) evidence to infer plausible functional mechanisms related to COVID-19 severity. Design: A quality-controlled genome-wide association study (GWAS) supported by robust gene-level omnibus kernel association tests (SKAT-O), functional prediction, and eQTL analyses of the top GWAS signal. Setting: Massachusetts General Hospital (MGH). Participants: 370 adult ICU patients with SARS-CoV-2 infection and acute hypoxemic respiratory failure and floor patients with mild hypoxemia managed with supplemental oxygen consecutively admitted to MGH between March and June 2020 (Surge 1), and January and March 2021 (Surge 2) with baseline clinical characteristics and demographics collected. Exposures: Low-pass genotyped SNPs from whole blood and aggregated SNP-sets of potential disease susceptibility loci with ±500 kb flanking regions. Main Outcomes & Measures: Genome-wide individual SNP associations and SNP-set associations with mortality outcomes from 370 severe COVID-19 cases. Results: After LD pruning (<0.8) and false discovery rate adjustment (<0.05), we identified rs7420371 G>A of the receptor transporter protein 5 ( Conclusions & Relevance: We discovered a novel, independent, and potentially functional SNP

Indexed as

geneticsrespiratory diseaseSARS-CoV-2

Identifiers

PMID41836198
PMCPMC12981488

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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.