Evidence map›Paper›PMID 33430342›Full record

ArticleJournal of personalized medicine2021

A Whole-Genome Sequencing Association Study of Low Bone Mineral Density Identifies New Susceptibility Loci in the Phase I Qatar Biobank Cohort.

Nadin Younes, Najeeb Syed, Santosh K Yadav, Mohammad Haris, Atiyeh M Abdallah, Marawan Abu-Madi

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  8. Secondary Osteoporosis and Metabolic Bone Diseases.Journal of clinical medicine · 2022
    Review
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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

6 authors at 1 institution in 1 country.

Nadin YounesBiomedical Research Center, College of Health Sciences-QU Health, Qatar University, Doha 2713, Qatar.
Najeeb SyedBiomedical Informatics Division, Sidra Medicine, Doha 26999, Qatar.
Santosh K YadavBiomedical Informatics Division, Sidra Medicine, Doha 26999, Qatar.
Mohammad HarisBiomedical Informatics Division, Sidra Medicine, Doha 26999, Qatar.
Atiyeh M AbdallahDepartment of Biomedical Sciences, College of Health Sciences-QU Health, Doha 2713, Qatar.ORCID 0000-0003-4812-956X
Marawan Abu-MadiBiomedical Research Center, College of Health Sciences-QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0001-7843-1255
Qatar University · QA

Funding

Qatar University QUST-1-CHS-2019-16
6 · The paper itself

Abstract

Bone density disorders are characterized by a reduction in bone mass density and strength, which lead to an increase in the susceptibility to sudden and unexpected fractures. Despite the serious consequences of low bone mineral density (BMD) and its significant impact on human health, most affected individuals may not know that they have the disease because it is asymptomatic. Therefore, understanding the genetic basis of low BMD and osteoporosis is essential to fully elucidate its pathobiology and devise preventative or therapeutic approaches. Here we sequenced the whole genomes of 3000 individuals from the Qatar Biobank and conducted genome-wide association analyses to identify genetic risk factors associated with low BMD in the Qatari population. Fifteen variants were significantly associated with total body BMD (

Indexed as

bone mineral densitygenome-wide associationosteoporosisQatarQatar Biobankwhole-genome sequencing

Identifiers

PMID33430342
PMCPMC7825795
OpenAlexW3120993474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.