Evidence map›Paper›PMID 36268970›Full record

ArticleHuman molecular genetics2022

Human Molecular Genetics Review Issue 2022.

Feixiong Cheng, Daniel Geschwind

Abstract read
In one paragraph

Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Higher eQTL power reveals signals that boost GWAS colocalization.bioRxiv : the preprint server for biology · 2025
    Article
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

2 authors.

Daniel Geschwind

Funding

Autism Genetics, Phase II: Increasing Representation of Human DiversityR01MH100027 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2013 to 2024
$31.7M
Uncovering the Genetic Mechanisms of the Chromosome 17q21.31 Tau Haplotype on Neurodegeneration Risk in FTD and PSPU54NS123746 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H, GOATE, ALISON M · 2021 to 2025
$9.4M
Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
$4.5M
TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimer’s DiseaseR01AG076448 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng, Li Gan · 2022 to 2026
$4.0M
Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics DiscoveryU01AG073323 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2025
$4.0M
Impact of coding and non-coding variation in progressive supranuclear palsyUG3NS104095 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DICKSON, DENNIS WILLIAM, GESCHWIND, DANIEL H · 2017 to 2019
$3.6M
Multimodal single-cell genomic and epigenomic analyses elucidate Alzheimer’s sexual dimorphism in human immune systems agingR56AG074001 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2021
$1.2M
NIA NIH HHS R01 AG066707NIA NIH HHS R01 AG076448NIA NIH HHS R56 AG074001NIA NIH HHS U01 AG073323NIMH NIH HHS R01 MH100027NIMH NIH HHS U01 MH116489NINDS NIH HHS U54 NS123746NINDS NIH HHS UG3 NS104095
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Molecular BiologyHumans

Identifiers

PMID36268970
PMCPMC9989729

What OpenQuestion holds

Textmetadata
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.