Evidence map›Paper›PMID 33415144›Full record

ArticleBioMed research international2020

Body Mass Index and Its Association with Genetically Transmitted Traits.

Sultan Z Alasmari, Nashwa Eisa, Saeed Mastour Alshahrani, Mohammad Mahtab Alam, Prasanna Rajagopalan, Mohammed Makkawi

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. 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, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Sultan Z AlasmariDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.ORCID https://orcid.org/0000-0003-2485-0686
Nashwa EisaDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.
Saeed Mastour AlshahraniDepartment of Basic Medical Sciences, College of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.ORCID https://orcid.org/0000-0003-2714-7785
Mohammad Mahtab AlamDepartment of Basic Medical Sciences, College of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.
Prasanna RajagopalanDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.
Mohammed MakkawiDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Guraiger, Abha 62529, Saudi Arabia.
King Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody mass index (BMI) is a metric widely used to measure the healthy weight of an individual and to predict a person's risk of developing serious illnesses. Study the statistical association between genetically transmitted traits and BMI might be of interest.

objectivesThe present study designed to extend the inadequate evidence concerning the influence of some genetically transmitted traits including ABO blood type, Rh factor, eye color, and hair color on BMI variation.

methodsA total of 142 undergraduate female students of the Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia, were participated to investigate the possible linkage between genetic traits and BMI variations. Height and weight are collected from participants for BMI measurement. ABO blood type and Rh factor were determined by antisera.

resultsOut of 142 female students, 48 were categorized in the first tertile (T1: less than 19.8 kg/m

conclusionsOur data provides a more robust prediction of the relative influence of genetic effects such as hair color on BMI. Future studies may contribute to identifying more association between genes involved in hair pigmentation and BMI variation.

Indexed as

Body Mass IndexGenetic Association StudiesAdultFemaleHumansLogistic ModelsQuantitative Trait, HeritableYoung Adult

Identifiers

PMID33415144
PMCPMC7769646
OpenAlexW3117820954

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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.