ArticleHuman heredity2011
A rapid generalized least squares model for a genome-wide quantitative trait association analysis in families.
Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An assessment of the individual and collective effects of variants on height using twins and a developmentally informative study design.PLoS genetics · 2011Pooled it
- The Minnesota Center for Twin and Family Research genome-wide association study.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012Trial
- Simultaneous selection of multiple important single nucleotide polymorphisms in familial genome wide association studies data.Scientific reports · 2023Article
- Modeling the Dependence Structure in Genome Wide Association Studies of Binary Phenotypes in Family Data.Behavior genetics · 2020Article
- Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020Article
- Methods and results from the genome-wide association group at GAW20.BMC genetics · 2018Article
- What can time-frequency and phase coherence measures tell us about the genetic basis of P3 amplitude?International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017Article
- Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample.Behavior genetics · 2015Article
- Sandwich corrected standard errors in family-based genome-wide association studies.European journal of human genetics : EJHG · 2015Article
- Heritability and molecular genetic basis of antisaccade eye tracking error rate: a genome-wide association study.Psychophysiology · 2014Article
- Heritability and molecular genetic basis of electrodermal activity: a genome-wide association study.Psychophysiology · 2014Article
- Heritability and molecular genetic basis of acoustic startle eye blink and affectively modulated startle response: a genome-wide association study.Psychophysiology · 2014Article
- Genome-wide scans of genetic variants for psychophysiological endophenotypes: a methodological overview.Psychophysiology · 2014Review
- Heritability and molecular-genetic basis of resting EEG activity: a genome-wide association study.Psychophysiology · 2014Article
- Heritability and molecular-genetic basis of the P3 event-related brain potential: a genome-wide association study.Psychophysiology · 2014Article
- Premorbid risk factors for major depressive disorder: are they associated with early onset and recurrent course?Development and psychopathology · 2014Article
- Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data.NeuroImage · 2014Article
- Gamma-aminobutyric acid system genes--no evidence for a role in alcohol use and abuse in a community-based sample.Alcoholism, clinical and experimental research · 2014Article
- Results of a "GWAS plus:" general cognitive ability is substantially heritable and massively polygenic.PloS one · 2014Article
- Low-Frequency Copy-Number Variants and General Cognitive Ability: No Evidence of Association.Intelligence · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Genome-wide association studies (GWAS) using family data involve association analyses between hundreds of thousands of markers and a trait for a large number of related individuals. The correlations among relatives bring statistical and computational challenges when performing these large-scale association analyses. Recently, several rapid methods accounting for both within- and between-family variation have been proposed. However, these techniques mostly model the phenotypic similarities in terms of genetic relatedness. The familial resemblances in many family-based studies such as twin studies are not only due to the genetic relatedness, but also derive from shared environmental effects and assortative mating. In this paper, we propose 2 generalized least squares (GLS) models for rapid association analysis of family-based GWAS, which accommodate both genetic and environmental contributions to familial resemblance. In our first model, we estimated the joint genetic and environmental variations. In our second model, we estimated the genetic and environmental components separately. Through simulation studies, we demonstrated that our proposed approaches are more powerful and computationally efficient than a number of existing methods are. We show that estimating the residual variance-covariance matrix in the GLS models without SNP effects does not lead to an appreciable bias in the p values as long as the SNP effect is small (i.e. accounting for no more than 1% of trait variance).
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