Evidence map›Paper›PMID 37905013›Full record

ArticlebioRxiv : the preprint server for biology2023

Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits.

Brielin C Brown, John A Morris, Tuuli Lappalainen, David A Knowles

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

4 authors.

Brielin C BrownNew York Genome Center, New York, NY, USA.
John A MorrisNew York Genome Center, New York, NY, USA.
Tuuli LappalainenNew York Genome Center, New York, NY, USA.
David A KnowlesNew York Genome Center, New York, NY, USA.

Funding

Learning the Regulatory Code of Alzheimer's Disease GenomesU01AG068880 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KNOWLES, DAVID ARTHUR, RAJ, TOWFIQUE · 2020 to 2024
$5.8M
Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
UNDERSTANDING CELLULAR AND TRANSCRIPTIONAL REGULATORY CHANGES IN HUMAN AGINGR01AG057422 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GREALLY, JOHN, LAPPALAINEN, TUULI · 2018 to 2022
$4.5M
Perturbation-response approaches to determining the regulatory networks underlying human complex traitsK99HG012373 · NHGRI · NEW YORK GENOME CENTER · PI BROWN, BRIELIN · 2022 to 2023
$230k
Linking GWAS variants to function with single-cell pooled CRISPR screensK99HG012792 · NHGRI · NEW YORK GENOME CENTER · PI MORRIS, JOHN ALLAN · 2023 to 2024
$123k
NHGRI NIH HHS K99 HG012373NHGRI NIH HHS K99 HG012792NIA NIH HHS R01 AG057422NIA NIH HHS U01 AG068880NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

Inference of directed biological networks is an important but notoriously challenging problem. We introduce

Identifiers

PMID37905013
PMCPMC10614812

What OpenQuestion holds

Textmetadata
LicenceCC BY-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 OpenQuestion graph.