Evidence map›Paper›PMID 25048299›Full record

ArticleGenetic epidemiology2014

Detecting disease variants in case-parent trio studies using the bioconductor software package trio.

Holger Schwender, Qing Li, Christoph Neumann, Margaret A Taub, Samuel G Younkin, Philipp Berger, Robert B Scharpf, Terri H Beaty, Ingo Ruczinski

Abstract read
In one paragraph

Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Holger SchwenderMathematical Institute, Heinrich Heine University, Düsseldorf, Germany.
Qing Li
Christoph Neumann
Margaret A Taub
Samuel G Younkin
Philipp Berger
Robert B Scharpf
Terri H Beaty
Ingo Ruczinski

Funding

International Genetic Epidemiology of Oral CleftsR01DE014581 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI BEATY, TERRI H · 2004 to 2013
$6.6M
Development of statistical genetics methodologyZIAHG000153 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAILEY-WILSON, JOAN ELLEN · 2009 to 2022
$5.0M
Preprocessing and Analysis Tools for High-Throughput TechnologiesR01GM083084 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2007 to 2018
$4.4M
International Consortium to Identify Genes and Interactions Controlling Oral ClefU01DE018993 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI BEATY, TERRI H · 2007 to 2008
$1.6M
Novel Statistical Methods for Gene-Environment Interactions in Complex DiseasesR01HL090577 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI RUCZINSKI, INGO · 2007 to 2009
$1.1M
Methods development and secondary analyses for an oral clefts association studyR03DE021437 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI RUCZINSKI, INGO · 2011 to 2012
$477k
NHLBI NIH HHS R01 HL090577NIDCR NIH HHS R01 DE014581NIDCR NIH HHS R03 DE021437NIDCR NIH HHS U01 DE018993NIGMS NIH HHS R01 GM083084
6 · The paper itself

Abstract

Case-parent trio studies are commonly employed in genetics to detect variants underlying common complex disease risk. Both commercial and freely available software suites for genetic data analysis usually contain methods for case-parent trio designs. A user might, however, experience limitations with these packages, which can include missing functionality to extend the software if a desired analysis has not been implemented, and the inability to programmatically capture all the software versions used for low-level processing and high-level inference of genomic data, a critical consideration in particular for high-throughput experiments. Here, we present a software vignette (i.e., a manual with step by step instructions and examples to demonstrate software functionality) for reproducible genome-wide analyses of case-parent trio data using the open source Bioconductor package trio. The workflow for the practitioner uses data from previous genetic trio studies to illustrate functions for marginal association tests, assessment of parent-of-origin effects, power and sample size calculations, and functions to detect gene-gene and gene-environment interactions associated with disease.

Indexed as

Genetic VariationSoftwareChildGene-Environment InteractionGenetic Association StudiesGenotypeHumansParentsPolymorphism, Single Nucleotidecase-parent triosgene-environment interactionsparent-of-origin effectssoftwaretransmission disequilibrium tests

Identifiers

PMID25048299
PMCPMC4139708

What OpenQuestion holds

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Registered trials

None linked

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.