Evidence map›Paper›PMID 37305557›Full record

ArticleHGG advances2023

Exome-wide analysis reveals role of

Shreya Chakraborty, Bratati Kahali

Open access · goldAbstract read
In one paragraph

Article in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 1 institution in 1 country.

Shreya ChakrabortyCentre for Brain Research, Indian Institute of Science, Bangalore, Karnataka 560012, India.
Bratati KahaliCentre for Brain Research, Indian Institute of Science, Bangalore, Karnataka 560012, India.
Indian Institute of Science Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive functioning is heritable, with metabolic risk factors known to accelerate age-associated cognitive decline. Identifying genetic underpinnings of cognition is thus crucial. Here, we undertake single-variant and gene-based association analyses upon 6 neurocognitive phenotypes across 6 cognition domains in whole-exome sequencing data from 157,160 individuals of the UK Biobank cohort to expound the genetic architecture of human cognition. We report 20 independent loci associated with 5 cognitive domains while controlling for

Indexed as

Cognitive DysfunctionExomeAmyloid beta-PeptidesApolipoproteins ECognitionHumansLow Density Lipoprotein Receptor-Related Protein-1Amyloid beta-PeptidesApolipoproteins ELow Density Lipoprotein Receptor-Related Protein-1LRP1 protein, humanAMIGO1APOEcognitionglycemic and lipid risk factorsLRP1UK Biobankwhole exome

Identifiers

PMID37305557
PMCPMC10248556
OpenAlexW4377138118

What OpenQuestion 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 OpenQuestion graph.