ArticleAmerican journal of human genetics2008
Genotype-specific recurrence risks as indicators of the genetic architecture of complex diseases.
Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 9 citations in OpenAlex.
- Complex genetic architecture of cardiac disease in a wild type inbred strain of Drosophila melanogaster.PloS one · 2013Article
- Clinical applications of schizophrenia genetics: genetic diagnosis, risk, and counseling in the molecular era.The application of clinical genetics · 2012Article
- Rare and common variants: twenty arguments.Nature reviews. Genetics · 2012Review
- Toward a better understanding of ADHD: LPHN3 gene variants and the susceptibility to develop ADHD.Attention deficit and hyperactivity disorders · 2010Review
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1 author at 1 institution in 1 country.
Funding
Abstract
A statistic is introduced that relates discoveries made in genome-wide association (GWA) studies to patterns of disease risks among relatives. The genotype-specific recurrence risk (GSR) is the genotype-specific risk to relatives of known relationship to affected probands. The GSRs can be used for three purposes. (1) They can provide an independent test of whether an allele identified in a GWA study is associated with the disease. (2) They can provide a test of whether interactions among loci affecting the disease are multiplicative. (3) They can be used by genetic counselors to incorporate information from GWA studies for predicting the risk to relatives of known genotype. Under a multiplicative model of disease causation, the GSRs for a locus are the genotypic risks in probands for that locus multiplied by lambda(R)/lambda(jR), where lambda(R) is Risch's recurrence risk ratio and lambda(jR) is the contribution to lambda(R) from the locus of interest. If there is saturation of risk with increasing numbers of causative alleles, then observed GSRs for individuals with high-risk genotypes will be lower than predicted by the multiplicative model.
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