ArticleGenetic epidemiology2007
Exploring causality via identification of SNPs or haplotypes responsible for a linkage signal.
Article in Genetic epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Genome-wide linkage on chromosome 10q26 for a dimensional scale of major depression.Journal of affective disorders · 2016Article
- Complex pedigrees in the sequencing era: to track transmissions or decorrelate?Genetic epidemiology · 2014Article
- A novel method, the Variant Impact On Linkage Effect Test (VIOLET), leads to improved identification of causal variants in linkage regions.European journal of human genetics : EJHG · 2014Article
- Combined linkage and family-based association analysis improves candidate gene detection in Genetic Analysis Workshop 18 simulation data.BMC proceedings · 2014Article
- A method to detect single-nucleotide polymorphisms accounting for a linkage signal using covariate-based affected relative pair linkage analysis.BMC proceedings · 2011Article
- Incorporation of covariates in simultaneous localization of two linked loci using affected relative pairs.BMC genetics · 2010Article
- Evaluation of approaches to identify associated SNPs that explain the linkage evidence in nuclear families with affected siblings.Human heredity · 2010Article
- A composite-likelihood approach for identifying polymorphisms that are potentially directly associated with disease.European journal of human genetics : EJHG · 2009Article
- Joint linkage and association analysis for identification of potentially causal polymorphisms in GAW15 data.BMC proceedings · 2007Article
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Authors and funding
2 authors.
Funding
Abstract
In a small chromosomal region, a number of polymorphisms may be both linked to and associated with a disease. Distinguishing the potential causal sites from those indirectly associated due to linkage disequilibrium (LD) with a causal site is an important problem. This problem may be approached by determining which of the associations can explain the observed linkage signal. Recently, several methods have been proposed to aid in the identification of disease associated polymorphisms that may explain an observed linkage signal, using genotype data from affected sib pairs (ASPs) [Li et al. [2005] Am. J. Hum. Genet. 76:934-949; Sun et al. [2002] Am. J. Hum. Genet. 70:399-411]. These methods can be used to test the null hypothesis that a candidate single nucleotide polymorphism (SNP) is the sole causal variant in the region, or is in complete LD with the sole causal variant in the region. We extend variations of these methods to test for complete LD between a disease locus and haplotypes composed of two or more tightly linked candidate SNPs. We study properties of the proposed methods by simulation and apply them to type 1 diabetes data for ASPs and their parents at candidate SNP and microsatellite marker loci in the Insulin (INS) gene region.
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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 OpenQuestion graph.