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Journal articleGodfrey S, 2001,
Independent inheritance of serum immunoglobulin E concentrations and airway responsiveness.
, Am J Respir Crit Care Med, Vol: 163, ISSN: 1073-449X -
Journal articleBidartondo MI, Baar J, Bruns TD, 2001,
Low ectomycorrhizal inoculum potential and diversity from soils in and near ancient forests of bristlecone pine (Pinus longaeva)
, Canadian Journal of Botany, Vol: 79, Pages: 293-299, ISSN: 0008-4026Intersite variation in ectomycorrhizal (ECM) inoculum potential in soils from 16 sites located in arid subalpine areas of the White Mountains of California was quantified. The study sites included valleys dominated by big sagebrush (Artemisia tridentata Nutt.) and mountainsides dominated by ancient Great Basin bristlecone pine (Pinus longaeva Bailey). ECM inoculum potential was not detected at three of four valley sites nor in 42% of forest soil samples. Only 10 mycorrhizal species were detected in bioassays, and four of those accounted for 94.5% of all colonized seedlings, in order of decreasing abundance these were Pyronemataceae sp., Rhizopogon sp., Wilcoxina rehmii Yang & Korf, and Cenococcum sp. These species were identified also from in situ mycorrhizal roots. The abundance of the dominant Pyronemataceae sp. was significantly positively correlated with pH, which at all forest sites was high compared with typical conifer forest soils. Our results show that the ECM inoculum potential of soils is low, homogeneous, and spatially restricted in these ancient high-elevation forests.
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Journal articlePalmer LJ, Lonjou C, Barnes K, et al., 2001,
A retrospective collaboration on chromosome 5 by the International Consortium on Asthma Genetics (COAG)
, Clinical and Experimental Allergy, Vol: 31, Pages: 152-154, ISSN: 0954-7894- Cite
- Citations: 10
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Journal articleWalley AJ, Wiltshire S, Ellis CM, et al., 2001,
Linkage and allelic association of chromosome 5 cytokine cluster genetic markers with atopy and asthma associated traits
, GENOMICS, Vol: 72, Pages: 15-20, ISSN: 0888-7543- Author Web Link
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- Citations: 58
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Journal articleCota E, Steward A, Fowler SB, et al., 2001,
The folding nucleus of a fibronectin type III domain is composed of core residues of the immunoglobulin-like fold
, JOURNAL OF MOLECULAR BIOLOGY, Vol: 305, Pages: 1185-1194, ISSN: 0022-2836- Author Web Link
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- Citations: 91
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Journal articleAbecasis GR, Noguchi E, Heinzmann A, et al., 2001,
Extent and Distribution of Linkage Disequilibrium in Three Genomic Regions.
, American Journal of Human Genetics, Vol: 68, Pages: 191-197, ISSN: 0002-9297The positional cloning of genes underlying common complex diseases relies on the identification of linkage disequilibrium (LD) between genetic markers and disease. We have examined 127 polymorphisms in three genomic regions in a sample of 575 chromosomes from unrelated individuals of British ancestry. To establish phase, 800 individuals were genotyped in 160 families. The fine structure of LD was found to be highly irregular. Forty-five percent of the variation in disequilibrium measures could be explained by physical distance. Additional factors, such as allele frequency, type of polymorphism, and genomic location, explained <5% of the variation. Nevertheless, disequilibrium was occasionally detectable at 500 kb and was present for over one-half of marker pairs separated by <50 kb. Although these findings are encouraging for the prospects of a genomewide LD map, they suggest caution in interpreting localization due to allelic association.
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Journal articleAbramson J, Svensson-Ek M, Byrne B, et al., 2001,
Structure of cytochrome <i>c</i> oxidase:: a comparison of the bacterial and mitochondrial enzymes
, BIOCHIMICA ET BIOPHYSICA ACTA-PROTEIN STRUCTURE AND MOLECULAR ENZYMOLOGY, Vol: 1544, Pages: 1-9, ISSN: 0167-4838- Author Web Link
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- Citations: 48
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Conference paperAbecasis GR, Cardon LR, Cookson WOC, et al., 2001,
Association analysis in a variance components framework
, Pages: S341-S346, ISSN: 0741-0395Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley-Liss, Inc.
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Conference paperPalmer LJ, Cookson WOCM, Deichmann KA, et al., 2001,
Single region linkage analyses of asthma: Description of data sets
, Pages: S9-S15, ISSN: 0741-0395Linkage (genotypic) data from the 5q31-33 candidate region for asthma were contributed to Genetic Analysis Workshop 12 by members of the International Consortium on Asthma Genetics (COAG). Data came from five independent studies sampled from five countries. Genotypic data for a total of 26 markers were available, although the number of markers typed in each data set varied. Phenotypic and genotypic data was available from a total of 569 families and 3,175 subjects. The phenotypic data available varied among the studies; however information regarding physician-diagnosed asthma and total serum IgE levels was available in all five studies. This paper describes the ascertainment, data collection methods, phenotypic data, and genotypic data available for the single linkage region analyses undertaken for Genetic Analysis Workshop 12. © 2001 Wiley-Liss, Inc.
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Conference paperCherny SS, Abecasis GR, Cookson WOC, et al., 2001,
The effect of genotype and pedigree error on linkage analysis: Analysis of three asthma genome scans
, Pages: S117-S122, ISSN: 0741-0395The effects of genotype and relationship errors on linkage results are evaluated in three of the Genetic Analysis Workshop 12 asthma genome scans. A number of errors are detected in the samples. While the evidence for linkage is not striking in any data set with or without error, in some cases the difference in test statistic could support different conclusions. The results provide empirical evidence for the predicted effects of genotype and relationship error and highlight the need for rigorous detection and elimination of data error in complex trait studies. © 2001 Wiley-Liss, Inc.
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