Quantitative-trait homozygosity and association mapping and empirical genomewide significance in large, complex pedigrees: fasting serum-insulin level in the Hutterites - PubMed (original) (raw)

Quantitative-trait homozygosity and association mapping and empirical genomewide significance in large, complex pedigrees: fasting serum-insulin level in the Hutterites

Mark Abney et al. Am J Hum Genet. 2002 Apr.

Abstract

We present methods for linkage and association mapping of quantitative traits for a founder population with a large, known genealogy. We detect linkage to quantitative-trait loci (QTLs) through a multipoint homozygosity-mapping method. We propose two association methods, one of which is single point and uses a general two-allele model and the other of which is multipoint and uses homozygosity by descent for a particular allele. In all three methods, we make extensive use of the pedigree and genotype information, while keeping the computations simple and efficient. To assess significance, we have developed a permutation-based test that takes into account the covariance structure due to relatedness of individuals and can be used to determine empirical genomewide and locus-specific P values. In the case of multivariate-normally distributed trait data, the permutation-based test is asymptotically exact. The test is broadly applicable to a variety of mapping methods that fall within the class of linear statistical models (e.g., variance-component methods), under the assumption of random ascertainment with respect to the phenotype. For obtaining genomewide P values, our proposed method is appropriate when positions of markers are independent of the observed linkage signal, under the null hypothesis. We apply our methods to a genome screen for fasting insulin level in the Hutterites. We detect significant genomewide linkage on chromosome 19 and suggestive evidence of QTLs on chromosomes 1 and 16.

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Figures

Figure  1

Figure 1

Results of multipoint HBD analysis. P values and equivalent LOD scores with 1 df are plotted with respect to chromosomal position for the genome. The solid line plots the locus-specific value, and the dotted line plots the genomewide value.

Figure  1

Figure 1

Results of multipoint HBD analysis. P values and equivalent LOD scores with 1 df are plotted with respect to chromosomal position for the genome. The solid line plots the locus-specific value, and the dotted line plots the genomewide value.

Figure  2

Figure 2

Results of the multipoint HBD analysis for chromosome 19. The solid line plots the locus-specific value, and the dotted line plots the genomewide value. The position of D19S591, which showed suggestive evidence of association under the ASHBD and GTAM analyses, is indicated on the _X-_axis.

Figure  3

Figure 3

Results of the multipoint HBD analysis for chromosome 16. The solid line plots the locus-specific value, and the dotted line plots the genomewide value. The positions of D16S2622 and ATA41E04, which showed suggestive evidence of association under the ASHBD analysis, are indicated on the _X-_axis.

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References

Electronic-Database Information

    1. Center for Medical Genetics, Marshfield Medical Research Foundation, http://research.marshfieldclinic.org/genetics/ (for microsatellite map)

References

    1. Abecasis GR, Cardon LR, Cookson WOC (2000) A general test for association for quantitative traits in nuclear families. Am J Hum Genet 66:279–292 - PMC - PubMed
    1. Abney M, McPeek MS, Ober C (2000) Estimation of variance components of quantitative traits in inbred populations. Am J Hum Genet 66:629–650 - PMC - PubMed
    1. Almasy L, Blangero J (1998) Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet 62:1198–1211 - PMC - PubMed
    1. Amos CI (1994) Robust variance-components approach for assessing genetic linkage in pedigrees. Am J Hum Genet 54:535–543 - PMC - PubMed
    1. Anderson MJ, Robinson J (2001) Permutation tests for linear models. Aust NZ J Stat 43:75–88

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