ArticleAmerican journal of human genetics2001
Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.
Article in American journal of human genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 21 citations in OpenAlex.
- Incorporating covariates into multipoint association mapping in the case-parent design.Human heredity · 2010Article
- Improving power in contrasting linkage-disequilibrium patterns between cases and controls.American journal of human genetics · 2007Article
- Locally weighted transmission/disequilibrium test for genetic association analysis.BMC genetics · 2005Article
- Linkage disequilibrium and association studies in higher plants: present status and future prospects.Plant molecular biology · 2005Review
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Authors and funding
4 authors at 2 institutions in 1 country.
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Abstract
In the present study we propose a multipoint approach, for the mapping of genes, that is based on the case-parent trio design. We first derive an expression for the expected preferential-allele-transmission statistics for transmission, from either parent to an affected child, for an arbitrary location within a chromosomal region demarcated by several genetic markers. No assumption about genetic mechanism is needed in this derivation, beyond the assumption that no more than one disease gene lies in the region framed by the markers. When one builds on this representation, the way in which one may maximize the genetic information from multiple markers becomes obvious. This proposed method differs from the popular transmission/disequilibrium test (TDT) approach for fine mapping, in the following ways: First, in contrast with the TDT approach, all markers contribute information, regardless of whether the parents are heterozygous at any one marker, and incomplete trio data can be utilized in our approach. Second, rather than performing the TDT at each marker separately, we propose a single test statistic that follows a chi(2) distribution with 1 df, under the null hypothesis of no linkage or linkage disequilibrium to the region. Third, in the presence of linkage evidence, we offer a means to estimate the location of the disease locus along with its sampling uncertainty. We illustrate the proposed method with data from a family study of asthma, conducted in Barbados.
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