Evidence map›Paper›PMID 31227809›Full record

ArticleEuropean journal of human genetics : EJHG2019

Global, pathway and gene coverage of three Illumina arrays with respect to inflammatory and immune-related pathways.

Viola Tozzi, Albert Rosenberger, Dieter Kube, Heike Bickeböller

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Viola TozziDepartment of Genetic Epidemiology, University Medical Centre, Georg-August-University, 37075, Göttingen, Germany.
Albert RosenbergerDepartment of Genetic Epidemiology, University Medical Centre, Georg-August-University, 37075, Göttingen, Germany. arosenb@gwdg.de.
Dieter KubeDepartment of Haematology and Oncology, University Medical Centre, Georg-August-University, 37075, Göttingen, Germany.
Heike BickeböllerDepartment of Genetic Epidemiology, University Medical Centre, Georg-August-University, 37075, Göttingen, Germany.

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, Rayjean J. Hung · 2017 to 2026
$23.7M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
NCI NIH HHS U19 CA148127NCI NIH HHS U19 CA203654
6 · The paper itself

Abstract

Genome-wide association studies have led in the past to the discovery of susceptibility genes for many diseases including cancer and inflammatory conditions. However, a number of these studies did not realise their full potential. A first critical step in developing such large-scale studies is the choice of genotyping array with respect to the study goal. Coverage is the central criterion for array evaluation. We distinguish between estimates of global coverage across the genome, coverage for each chromosome, coverage for selected pathways and the coverage for genes of interest. Here, we focus on inflammatory and immunological pathways and genes relevant for haematopoietic stem cell transplantation. We compared three arrays: the Infinium Global Screening Array-24 v1.0, the Infinium OncoArray-500 K BeadChip and the Infinium PsychArray-24 v1.2 BeadChip. We employed the European population from the 1000 Genomes Project as reference genome. Global coverage was found to range between 12.2 and 14.2% whereas coverage for a selected pathway ranged from 6.2 to 13.2% and gene coverage ranged from 0 to 54.1%. The Global Screening Array outperformed both other arrays in terms of global coverage, for most chromosomes, most considered pathways and most genes. When selecting suitable arrays for a new study, the coverage of pathways or genes of interest should be considered in addition to global coverage. Local coverage should be regarded when discussing association findings inconsistent across studies and can be useful in data analysis and decision making for additional genotyping.

Indexed as

ChromosomesGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID31227809
PMCPMC6871524

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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.