Evidence map›Paper›PMID 16909463›Full record

ArticleCroatian medical journal2006

Demonstrating reduced environmental and genetic diversity in human isolates by analysis of blood lipid levels.

Ozren Polasek, Ivana Kolcić, Ankica Smoljanović, Drazen Stojanović, Matijana Grgić, Barbara Ebling, Maja Klarić, Josip Milas, Dinko Puntarić

Abstract read
In one paragraph

Article in Croatian medical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

9 authors.

Ozren PolasekDepartment of Medical Statistics, Epidemiology, and Medical Informatics, Andrija Stampar School of Public Health, Zagreb University School of Medicine, Rockefellerova 4 ,10000 Zagreb, Croatia. opolasek@snz.hr
Ivana Kolcić
Ankica Smoljanović
Drazen Stojanović
Matijana Grgić
Barbara Ebling
Maja Klarić
Josip Milas
Dinko Puntarić

Funding

Wellcome Trust
6 · The paper itself

Abstract

aimTo test the hypothesis that phenotypic diversity in isolated human populations is decreased in comparison with general outbred population because of reduced genetic and environmental diversity. To demonstrate this in populations for which reduced genetic and environmental diversity had already been established, by studying the amount of variation in plasma lipid levels.

methodsFasting plasma lipid levels (cholesterol, triglycerides, low density lipoprotein [LDL], and high density lipoprotein [HDL]) were measured in randomly selected 300 inhabitants from 2 isolated human populations, the island of Rab and the neighboring islands of Vis and Lastovo, Croatia. The populations were chosen based on previous analyses of genetic diversity and lifestyle patterns, which were shown to be both less diverse and more uniform than the general Croatian population. We studied whether the 25'-75' and 5'-95' interpercentile ranges in observed values were consistently smaller in 2 samples of 300 examinees from isolated populations in comparison with nearly 6000 examinees from an earlier study who were demographically targeted to represent the larger Croatian population.

resultsGeneral population had much wider range of observed values of triglycerides and HDL than both isolated populations. However, both isolated populations exhibited greater extent of variation in the levels of LDL, while the ranges of cholesterol values were similar.

conclusionAlthough reduced genetic and environmental diversity in isolated human populations should necessarily reduce the variance in observed phenotypic values, it appears that specific population genetic processes in isolated populations could be acting to maintain the variation. Departure from the Hardy-Weinberg equilibrium due to consanguinity, sub-structuring and differentiation within the isolates, and increased rate of new mutations could theoretically explain this paradox.

Indexed as

Genetics, PopulationGenetic VariationCroatiaGeographyHumansLipidsPhenotypeLipids

Identifiers

PMID16909463
PMCPMC2080451

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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.