Evidence map›Paper›PMID 21150245›Full record

ArticleExperimental & molecular medicine2010

Genome-wide linkage analysis for ocular and nasal anthropometric traits in a Mongolian population.

Sun-Wha Im, Hyun-Jin Kim, Mi Kyeong Lee, Jae-hyuk Yi, Ganchimeg Jargal, Joohon Sung, Sung-il Cho, Jong-Il Kim

Open access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Genetic architecture of orbital telorism.Human molecular genetics · 2022
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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

8 authors at 2 institutions in 1 country.

Sun-Wha ImGenomic Medicine Institute, Medical Research Center, Seoul National University, Seoul 100-799, Korea.
Hyun-Jin Kim
Mi Kyeong Lee
Jae-hyuk Yi
Ganchimeg Jargal
Joohon Sung
Sung-il Cho
Jong-Il Kim
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropometric traits for eyes and nose are complex quantitative traits influenced by genetic and environmental factors. To date, there have been few reports on the contribution of genetic influence to these traits in Asian populations. The aim of this study was to determine the genetic effect and quantitative trait locus (QTL) of seven traits eyes- and nose-related anthropometric measurements in an isolated Mongolian population. Frontal and lateral photographs were obtained from 1,014 individuals (434 males and 580 females) of Mongolian origin. A total of 349 short tandem repeat markers on 22 autosomes were genotyped for each individual. Heritability estimates of the seven ocular and nasal traits, adjusted for significant covariates, ranged from 0.48 to 0.90, providing evidence for a genetic influence. Variance-component linkage analyses revealed 10 suggestive linkage signals on 5q34 (LOD=3.2), 18q12.2 (LOD=2.7), 5q15 (LOD=2.0), 9q34.2 (LOD=1.9), 5q34 (LOD=1.9), 17q22 (LOD=1.9), 13q33.3 (LOD=2.7), 1q36.22 (LOD=1.9), 4q32.1 (LOD=2.1) and 15q22.31 (LOD=2.9). Our study provides the first evidence that genetics influences nasal and ocular traits in a Mongolian population. Additional collaborative efforts will further extend our understanding of the link between genetic factors and human anthropometric traits.

Indexed as

Asian PeopleGenetic LinkageGenome, HumanAnthropometryEyeFacial BonesFemaleHumansLod ScoreMaleMongoliaNoseQuantitative Trait Loci

Identifiers

PMID21150245
PMCPMC3015153
OpenAlexW2138694352

What OpenQuestion holds

Textmetadata
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Registered trials

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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.