ArticlePloS one2009
Univariate/multivariate genome-wide association scans using data from families and unrelated samples.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
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
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Integration ofFrontiers in immunology · 2023Pooled it
- Identification of pleiotropic loci underlying hip bone mineral density and trunk lean mass.Journal of human genetics · 2021Pooled it
- Two novel pleiotropic loci associated with osteoporosis and abdominal obesity.Human genetics · 2020Pooled it
- Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.BioData mining · 2026Review
- Article
- Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS.Plants (Basel, Switzerland) · 2022Review
- Multivariate genome-wide association study of depression, cognition, and memory phenotypes and validation analysis identify 12 cross-ethnic variants.Translational psychiatry · 2022Article
- A genetic correlation and bivariate genome-wide association study of grip strength and depression.PloS one · 2022Article
- Pleiotropic genomic variants at 17q21.31 associated with bone mineral density and body fat mass: a bivariate genome-wide association analysis.European journal of human genetics : EJHG · 2021Article
- Pleiotropic loci underlying bone mineral density and bone size identified by a bivariate genome-wide association analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020Article
- Complimentary Methods for Multivariate Genome-Wide Association Study Identify New Susceptibility Genes for Blood Cell Traits.Frontiers in genetics · 2019Article
- USAT: A Unified Score-Based Association Test for Multiple Phenotype-Genotype Analysis.Genetic epidemiology · 2016Article
- A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 Caucasians.PloS one · 2015Article
- Detecting association of rare variants by testing an optimally weighted combination of variants for quantitative traits in general families.Annals of human genetics · 2013Article
- Identification of a major locus, TNF1, that controls BCG-triggered tumor necrosis factor production by leukocytes in an area hyperendemic for tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2013Article
- Suggestion of GLYAT gene underlying variation of bone size and body lean mass as revealed by a bivariate genome-wide association study.Human genetics · 2013Article
- Article
- Combining genetic association study designs: a GWAS case study.Frontiers in genetics · 2013Article
- A mixed-model approach for genome-wide association studies of correlated traits in structured populations.Nature genetics · 2012Article
- Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome.BMC proceedings · 2011Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
As genome-wide association studies (GWAS) are becoming more popular, two approaches, among others, could be considered in order to improve statistical power for identifying genes contributing subtle to moderate effects to human diseases. The first approach is to increase sample size, which could be achieved by combining both unrelated and familial subjects together. The second approach is to jointly analyze multiple correlated traits. In this study, by extending generalized estimating equations (GEEs), we propose a simple approach for performing univariate or multivariate association tests for the combined data of unrelated subjects and nuclear families. In particular, we correct for population stratification by integrating principal component analysis and transmission disequilibrium test strategies. The proposed method allows for multiple siblings as well as missing parental information. Simulation studies show that the proposed test has improved power compared to two popular methods, EIGENSTRAT and FBAT, by analyzing the combined data, while correcting for population stratification. In addition, joint analysis of bivariate traits has improved power over univariate analysis when pleiotropic effects are present. Application to the Genetic Analysis Workshop 16 (GAW16) data sets attests to the feasibility and applicability of the proposed method.
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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.