Evidence map›Paper›PMID 30566479›Full record

ArticlePloS one2018

The sequencing and interpretation of the genome obtained from a Serbian individual.

Wazim Mohammed Ismail, Kymberleigh A Pagel, Vikas Pejaver, Simo V Zhang, Sofia Casasa, Matthew Mort, David N Cooper, Matthew W Hahn, Predrag Radivojac

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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

1 citing paper in PubMed.

  1. Article
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.

Wazim Mohammed IsmailDepartment of Computer Science, Indiana University, Bloomington, Indiana, United States of America.ORCID 0000-0002-1782-7296
Kymberleigh A PagelDepartment of Computer Science, Indiana University, Bloomington, Indiana, United States of America.ORCID 0000-0001-8544-9250
Vikas PejaverDepartment of Computer Science, Indiana University, Bloomington, Indiana, United States of America.
Simo V ZhangDepartment of Computer Science, Indiana University, Bloomington, Indiana, United States of America.
Sofia CasasaDepartment of Biology, Indiana University, Bloomington, Indiana, United States of America.
Matthew MortInstitute of Medical Genetics, Cardiff University, Cardiff, United Kingdom.
David N CooperInstitute of Medical Genetics, Cardiff University, Cardiff, United Kingdom.
Matthew W HahnDepartment of Computer Science, Indiana University, Bloomington, Indiana, United States of America.
Predrag RadivojacCollege of Computer and Information Science, Northeastern University, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genetic studies and whole-genome sequencing projects have greatly improved our understanding of human variation and clinically actionable genetic information. Smaller ethnic populations, however, remain underrepresented in both individual and large-scale sequencing efforts and hence present an opportunity to discover new variants of biomedical and demographic significance. This report describes the sequencing and analysis of a genome obtained from an individual of Serbian origin, introducing tens of thousands of previously unknown variants to the currently available pool. Ancestry analysis places this individual in close proximity to Central and Eastern European populations; i.e., closest to Croatian, Bulgarian and Hungarian individuals and, in terms of other Europeans, furthest from Ashkenazi Jewish, Spanish, Sicilian and Baltic individuals. Our analysis confirmed gene flow between Neanderthal and ancestral pan-European populations, with similar contributions to the Serbian genome as those observed in other European groups. Finally, to assess the burden of potentially disease-causing/clinically relevant variation in the sequenced genome, we utilized manually curated genotype-phenotype association databases and variant-effect predictors. We identified several variants that have previously been associated with severe early-onset disease that is not evident in the proband, as well as putatively impactful variants that could yet prove to be clinically relevant to the proband over the next decades. The presence of numerous private and low-frequency variants, along with the observed and predicted disease-causing mutations in this genome, exemplify some of the global challenges of genome interpretation, especially in the context of under-studied ethnic groups.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome, HumanAnimalsEthnicityFemaleGenome-Wide Association StudyHumansMaleNeanderthalsSerbia

Identifiers

PMID30566479
PMCPMC6300249

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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.