ArticlemedRxiv : the preprint server for health sciences2024
Powerful mapping of
Kai Akamatsu, Stephen Golzari, Tiffany Amariuta
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
3 authors.
Stephen GolzariDepartment of Medicine, Division of Biomedical Informatics, UC San Diego, La Jolla, CA, USA.
Tiffany AmariutaDepartment of Medicine, Division of Biomedical Informatics, UC San Diego, La Jolla, CA, USA.ORCID 0000-0003-0121-1726 Funding
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0MThe Family Blood Pressure Program (GENOA Network)U01HL054481 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 2000 to 2007
$6.7MGenomic Predictors of Arteriosclerosis in HypertensivesR01HL087660 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2007 to 2009
$5.1MGENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU01HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2000 to 2004
$2.8MNHLBI FAMILY BLOOD PRESSURE PROGRAM (GENOA)U01HL054464 · NHLBI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI TURNER, STEPHEN T · 2000 to 2004
$2.6MGenetic Mechanisms of Arteriosclerosis in Hypertensive SibshipsR01HL119443 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2014 to 2017
$2.1MCigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0MIdentifying ancestry-specific and distal components of disease-associated gene regulation and cellular functionR01HG013671 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Tiffany Amariuta-Bartell · 2024 to 2026
$1.5MAdjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3MSUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758kSUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694kSUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642kNCRR NIH HHS UL1 RR024156NHGRI NIH HHS R01 HG013671NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL119443NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U01 HL054464NHLBI NIH HHS U01 HL054481NHLBI NIH HHS U10 HL054457NHLBI NIH HHS U10 HL054464NHLBI NIH HHS U10 HL054481
6 · The paper itselfAbstract
While disease-associated variants identified by genome-wide association studies (GWAS) most likely regulate gene expression levels, linking variants to target genes is critical to determining the functional mechanisms of these variants. Genetic effects on gene expression have been extensively characterized by expression quantitative trait loci (eQTL) studies, yet data from non-European populations is limited. This restricts our understanding of disease to genes whose regulatory variants are common in European populations. While previous work has leveraged data from multiple populations to improve GWAS power and polygenic risk score (PRS) accuracy, multi-ancestry data has not yet been used to better estimate
Identifiers
PMID39399015
PMCPMC11469471
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