ArticleBMC proceedings2011
Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome.
Article in BMC proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
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Who cites it
8 citing papers in PubMed.
- Sister haplotypes and recombination disequilibrium: a new approach to identify associations of haplotypes with complex diseases.Frontiers in genetics · 2023Article
- A multiple regression method for genomewide association studies using only linkage information.Journal of genetics · 2018Article
- On combining family- and population-based sequencing data.BMC proceedings · 2016Article
- Haplotype association analysis of combining unrelated case-control and triads with consideration of population stratification.Frontiers in genetics · 2014Article
- Statistical Approaches to Combine Genetic Association Data.Journal of biometrics & biostatistics · 2013Article
- Combining genetic association study designs: a GWAS case study.Frontiers in genetics · 2013Article
- Families or Unrelated: The Evolving Debate in Genetic Association Studies.Journal of biometrics & biostatistics · 2012Article
- Population-based and family-based designs to analyze rare variants in complex diseases.Genetic epidemiology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
We examine the performance of various methods for combining family- and population-based genetic association data. Several approaches have been proposed for situations in which information is collected from both a subset of unrelated subjects and a subset of family members. Analyzing these samples separately is known to be inefficient, and it is important to determine the scenarios for which differing methods perform well. Others have investigated this question; however, no extensive simulations have been conducted, nor have these methods been applied to mini-exome-style data such as that provided by Genetic Analysis Workshop 17. We quantify the empirical power and false-positive rates for three existing methods applied to the Genetic Analysis Workshop 17 mini-exome data and compare relative performance. We use knowledge of the underlying data simulation model to make these assessments.
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.