ArticleAmerican journal of human genetics2004
Increasing the power and efficiency of disease-marker case-control association studies through use of allele-sharing information.
Article in American journal of human genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- G-STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies.Genetic epidemiology · 2016Article
- Robust and Powerful Affected Sibpair Test for Rare Variant Association.Genetic epidemiology · 2015Article
- Genomic view of bipolar disorder revealed by whole genome sequencing in a genetic isolate.PLoS genetics · 2014Article
- Visualization of haplotype sharing patterns in pedigree samples.Human heredity · 2014Article
- Genome-wide investigation of gene-environment interactions in colorectal cancer.Human genetics · 2013Article
- Sampling strategies for rare variant tests in case-control studies.European journal of human genetics : EJHG · 2012Article
- Validity and power of association testing in family-based sampling designs: evidence for and against the common wisdom.Genetic epidemiology · 2011Article
- Three ways of combining genotyping and resequencing in case-control association studies.PloS one · 2010Article
- High-density SNP association study and copy number variation analysis of the AUTS1 and AUTS5 loci implicate the IMMP2L-DOCK4 gene region in autism susceptibility.Molecular psychiatry · 2010Article
- Selection of the most informative individuals from families with multiple siblings for association studies.Genetic epidemiology · 2009Article
- Family-based samples can play an important role in genetic association studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008Article
- NYD-SP18 is associated with obesity in the NHLBI Family Heart Study.International journal of obesity (2005) · 2008Article
- Increased efficiency of case-control association analysis by using allele-sharing and covariate information.Human heredity · 2008Article
- Mapping quantitative trait loci for canine hip dysplasia in German Shepherd dogs.Mammalian genome : official journal of the International Mammalian Genome Society · 2007Article
- Family-based association tests for genomewide association scans.American journal of human genetics · 2007Article
- Article
- Two-stage study designs for analyzing disease-associated covariates: linkage thresholds and case-selection strategies.BMC proceedings · 2007Article
- Efficient study designs for test of genetic association using sibship data and unrelated cases and controls.American journal of human genetics · 2006Article
- A quantitative linkage score for an association study following a linkage analysis.BMC genetics · 2006Article
- Comparing strategies for association mapping in samples with related individuals.BMC genetics · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Case-control disease-marker association studies are often used in the search for variants that predispose to complex diseases. One approach to increasing the power of these studies is to enrich the case sample for individuals likely to be affected because of genetic factors. In this article, we compare three case-selection strategies that use allele-sharing information with the standard strategy that selects a single individual from each family at random. In affected sibship samples, we show that, by carefully selecting sibships and/or individuals on the basis of allele sharing, we can increase the frequency of disease-associated alleles in the case sample. When these cases are compared with unrelated controls, the difference in the frequency of the disease-associated allele is therefore also increased. We find that, by choosing the affected sib who shows the most evidence for pairwise allele sharing with the other affected sibs in families, the test statistic is increased by >20%, on average, for additive models with modest genotype relative risks. In addition, we find that the per-genotype information associated with the allele sharing-based strategies is increased compared with that associated with random selection of a sib for genotyping. Even though we select sibs on the basis of a nonparametric statistic, the additional gain for selection based on the unknown underlying mode of inheritance is minimal. We show that these properties hold even when the power to detect linkage to a region in the entire sample is negligible. This approach can be extended to more-general pedigree structures and quantitative traits.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.