ArticlemedRxiv : the preprint server for health sciences2021
Integrative approach identifies
Silva Kasela, Zharko Daniloski, Tristan X Jordan, Benjamin R tenOever, Neville E Sanjana, Tuuli Lappalainen
Open access · greenAbstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2021. 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, 10 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
6 authors at 2 institutions in 1 country.
Silva KaselaNew York Genome Center, New York, NY, USA.
Zharko DaniloskiNew York Genome Center, New York, NY, USA.
Tristan X JordanDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Benjamin R tenOeverDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Neville E SanjanaNew York Genome Center, New York, NY, USA.
Tuuli LappalainenNew York Genome Center, New York, NY, USA.
New York Genome Center · USIcahn School of Medicine at Mount Sinai · US
Funding
New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6MStatistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0MPredicting the functional impact of non-coding mutations using patient-specific gene regulatory networksR01CA218668 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EKTA KHURANA, Neville Sanjana · 2018 to 2026
$4.7MIn situ functional genomics to understand transcriptional regulationDP2HG010099 · NHGRI · NEW YORK GENOME CENTER · PI SANJANA, NEVILLE · 2017 to 2022
$4.4MThe biology of the nuclear export protein in influenza A virus replicationR01AI123155 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TENOEVER, BENJAMIN R. · 2017 to 2020
$2.4MIntegration of omics data to improve interpretation of genetic risk variants in lung diseaseR01HL142028 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARR, R GRAHAM, LAPPALAINEN, TUULI · 2018 to 2019
$790kNCI NIH HHS R01 CA218668NHGRI NIH HHS DP2 HG010099NHGRI NIH HHS UM1 HG008901NHLBI NIH HHS R01 HL142028NIAID NIH HHS R01 AI123155NIMH NIH HHS R01 MH106842
6 · The paper itselfAbstract
To date the locus with the most robust human genetic association to COVID-19 susceptibility is 3p21.31. Here, we integrate genome-scale CRISPR loss-of-function screens and eQTLs in diverse cell types and tissues to pinpoint genes underlying COVID-19 risk. Our findings identify
Indexed as
COVID-19CRISPReQTLGWASSARS-CoV-2
Identifiers
PMID33880488
PMCPMC8057256
OpenAlexW3155275242
What OpenQuestion holds
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LicenceCC BY-NC-ND
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