Evidence map›Paper›PMID 20184767›Full record

ArticleBMC genomics2010

Comparative assessment of methods for estimating individual genome-wide homozygosity-by-descent from human genomic data.

Ozren Polasek, Caroline Hayward, Celine Bellenguez, Veronique Vitart, Ivana Kolcić, Ruth McQuillan, Vanja Saftić, Ulf Gyllensten, James F Wilson, Igor Rudan and 3 more

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

14 citing papers in PubMed.

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  11. Does inbreeding affect N-glycosylation of human plasma proteins?Molecular genetics and genomics : MGG · 2011
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  14. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Ozren PolasekPublic Health Sciences, University of Edinburgh, Edinburgh, UK. opolasek@gmail.com
Caroline Hayward
Celine Bellenguez
Veronique Vitart
Ivana Kolcić
Ruth McQuillan
Vanja Saftić
Ulf Gyllensten
James F Wilson
Igor Rudan
Alan F Wright
Harry Campbell
Anne-Louise Leutenegger

Funding

Chief Scientist Office CZB/4/710Medical Research Council MC_U127561128
6 · The paper itself

Abstract

backgroundGenome-wide homozygosity estimation from genomic data is becoming an increasingly interesting research topic. The aim of this study was to compare different methods for estimating individual homozygosity-by-descent based on the information from human genome-wide scans rather than genealogies. We considered the four most commonly used methods and investigated their applicability to single-nucleotide polymorphism (SNP) data in both a simulation study and by using the human genotyped data. A total of 986 inhabitants from the isolated Island of Vis, Croatia (where inbreeding is present, but no pedigree-based inbreeding was observed at the level of F > 0.0625) were included in this study. All individuals were genotyped with the Illumina HumanHap300 array with 317,503 SNP markers.

resultsSimulation data suggested that multi-point FEstim is the method most strongly correlated to true homozygosity-by-descent. Correlation coefficients between the homozygosity-by-descent estimates were high but only for inbred individuals, with nearly absolute correlation between single-point measures.

conclusionsDeciding who is really inbred is a methodological challenge where multi-point approaches can be very helpful once the set of SNP markers is filtered to remove linkage disequilibrium. The use of several different methodological approaches and hence different homozygosity measures can help to distinguish between homozygosity-by-state and homozygosity-by-descent in studies investigating the effects of genomic autozygosity on human health.

Indexed as

Genome, HumanGenotypeHomozygoteComputer SimulationConsanguinityCroatiaGenetic Association StudiesHumansInheritance PatternsLikelihood FunctionsPolymorphism, Single Nucleotide

Identifiers

PMID20184767
PMCPMC2848240

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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.