Evidence map›Paper›PMID 38699369›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Improved multi-ancestry fine-mapping identifies

Zeyun Lu, Xinran Wang, Matthew Carr, Artem Kim, Steven Gazal, Pejman Mohammadi, Lang Wu, Alexander Gusev, James Pirruccello, Linda Kachuri and 1 more

Abstract readPreprint
In one paragraph

Article 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
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

5 · Who and what money

Authors and funding

11 authors.

Zeyun LuCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-3511-6850
Xinran WangCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-9670-3939
Matthew CarrCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0009-0006-6358-7584
Artem KimCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8824-2853
Steven GazalCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-4510-5730
Pejman MohammadiCenter for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA, USA.ORCID 0000-0003-4457-8552
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.ORCID 0000-0001-9938-3627
Alexander GusevHarvard Medical School and Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-7980-4620
James PirruccelloDivision of Cardiology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6088-4037
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3226-4727
Nicholas MancusoCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-9352-5927

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCI NIH HHS P01 CA196569NCI NIH HHS R01 CA258808NHGRI NIH HHS R01 HG012133NHGRI NIH HHS U54 HG013243NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS K08 HL159346NHLBI 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 N02 HL064278NHLBI NIH HHS R01 HL087660NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL119443NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U01 HL054464NHLBI NIH HHS U01 HL054481NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U10 HL054457NHLBI NIH HHS U10 HL054464NHLBI NIH HHS U10 HL054481NIDDK NIH HHS P30 DK063491NIEHS NIH HHS HHSN268201600032CNIGMS NIH HHS R01 GM140287NIGMS NIH HHS R35 GM142783NIGMS NIH HHS R35 GM147789NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Multi-ancestry statistical fine-mapping of

Identifiers

PMID38699369
PMCPMC11065034

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.