Evidence map›Paper›PMID 25762173›Full record

ArticleEuropean journal of epidemiology2015

Challenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Study.

Carolina Medina-Gomez, Janine Frédérique Felix, Karol Estrada, Marjoline Josephine Peters, Lizbeth Herrera, Claudia Jeanette Kruithof, Liesbeth Duijts, Albert Hofman, Cornelia Marja van Duijn, Andreas Gerardus Uitterlinden and 2 more

Abstract read
In one paragraph

Article in European journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 4 pooled it
–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

85 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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25 more citing papers are in PubMed but not listed here.

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

12 authors.

Carolina Medina-GomezThe Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.
Janine Frédérique Felix
Karol Estrada
Marjoline Josephine Peters
Lizbeth Herrera
Claudia Jeanette Kruithof
Liesbeth Duijts
Albert Hofman
Cornelia Marja van Duijn
Andreas Gerardus Uitterlinden
Vincent Wilfred Vishal Jaddoe
Fernando Rivadeneira

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have been successful in identifying loci associated with a wide range of complex human traits and diseases. Up to now, the majority of GWAS have focused on European populations. However, the inclusion of other ethnic groups as well as admixed populations in GWAS studies is rapidly rising following the pressing need to extrapolate findings to non-European populations and to increase statistical power. In this paper, we describe the methodological steps surrounding genetic data generation, quality control, study design and analytical procedures needed to run GWAS in the multiethnic and highly admixed Generation R Study, a large prospective birth cohort in Rotterdam, the Netherlands. Furthermore, we highlight a number of practical considerations and alternatives pertinent to the quality control and analysis of admixed GWAS data.

Indexed as

Genome-Wide Association StudyDiseaseEthnicityGenetic LinkageGenotypeHumansLogistic ModelsNetherlandsPhenotypePopulation SurveillanceProspective StudiesWhite People

Identifiers

PMID25762173
PMCPMC4385148

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.