ArticleAmerican journal of human genetics2000
Unbiased application of the transmission/disequilibrium test to multilocus haplotypes.
Article in American journal of human genetics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 114 citations in OpenAlex.
- Family studies of type 1 diabetes reveal additive and epistatic effects between MGAT1 and three other polymorphisms.Genes and immunity · 2014Article
- Imputation without doing imputation: a new method for the detection of non-genotyped causal variants.Genetic epidemiology · 2014Article
- Association study in three different populations between the GPR88 gene and major psychoses.Molecular genetics & genomic medicine · 2014Article
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- Pseudosibship methods in the case-parents design.Statistics in medicine · 2011Article
- Failure to confirm an association between Epsin 4 and schizophrenia in a Japanese population.Journal of neural transmission (Vienna, Austria : 1996) · 2008Article
- Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data.Human heredity · 2008Article
- Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.Human heredity · 2008Review
- A theoretical treatment of interval mapping of a disease gene using transmission disequilibrium tests.Journal of biosciences · 2007Article
- Exploring causality via identification of SNPs or haplotypes responsible for a linkage signal.Genetic epidemiology · 2007Article
- Allelic variation in GAD1 (GAD67) is associated with schizophrenia and influences cortical function and gene expression.Molecular psychiatry · 2007Article
- Secretory granule neuroendocrine protein 1 (SGNE1) genetic variation and glucose intolerance in severe childhood and adult obesity.BMC medical genetics · 2007Article
- Dealing with missing data in family-based association studies: a multiple imputation approach.Human heredity · 2007Article
- Efficiency of multiple imputation to test for association in the presence of missing data.BMC proceedings · 2007Article
- Association study of the vesicular monoamine transporter 1 (VMAT1) gene with schizophrenia in a Japanese population.Behavioral and brain functions : BBF · 2006Article
- Sequence and haplotype analysis supports HLA-C as the psoriasis susceptibility 1 gene.American journal of human genetics · 2006Article
- Autism spectrum disorders associated with X chromosome markers in French-Canadian males.Molecular psychiatry · 2006Article
- Will the real disease gene please stand up?BMC genetics · 2005Article
- Disentangling linkage disequilibrium and linkage from dense single-nucleotide polymorphism trio data.Genetics · 2005Article
- Gene expression and association analyses of LIM (PDLIM5) in bipolar disorder and schizophrenia.Molecular psychiatry · 2005Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When the transmission/disequilibrium test (TDT) is applied to multilocus haplotypes, a bias may be introduced in some families for which both parents have the same heterozygous genotype at some locus. The bias occurs because haplotypes can only be deduced from certain offspring, with the result that the transmissions of the two parental haplotypes are not independent. We obtain an unbiased TDT for individual haplotypes by calculating the correct variance for the transmission count within a family, using information from multiple siblings if they are available. An existing correction for dependence between siblings in the presence of linkage is retained. To obtain an unbiased multihaplotype TDT, we must either count transmissions from one randomly chosen parent or count all transmissions and estimate the significance level empirically. Alternatively, we may use missing-data techniques to estimate uncertain haplotypes, but these methods are not robust to population stratification. An illustration using data from the insulin-gene region in type 1 diabetes shows that the validity and power of the TDT may vary by an order of magnitude, depending on the method of analysis.
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