PubMed · 9594079
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J Dausset. 1998. Predictive medicine.. https://doi.org/10.1515/cclm.1998.002
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The rice lesion mimic mutant spotted leaf 1 ( spl1) was first identified in the rice ( Oryza sativa) cultivar Asahi in 1965. This mutant displayed spontaneous disease-like lesions in the absence of any pathogen, and was found to confer resistance to multiple isolates of rice blast. We employed a map-based cloning strategy to localize the Spl1 gene. A total of ten cleaved amplified polymorphic sequence (CAPS) markers linked to the Spl1 gene were identified and mapped to an 8.5-cM region on chromosome 12. A high-resolution genetic map was developed using these ten CAPS markers and a segregating population consisting of 3202 individuals. A BAC contig containing four BAC clones was constructed, and Spl1 was localized to a 423-kb region. Seven spl1 mutants were obtained from the IR64 deletion mutant collection, and molecular analysis using these mutants delimited the Spl1 gene to a 70-kb interval, covered by two BAC clones. These results provide the basis for cloning this gene, which is involved in cell death and disease resistance in rice.
Sepsis is a complex syndrome that develops when the initial, appropriate host response to an infection becomes amplified, and is then dysregulated. Among other factors, the innate immune system is of central importance to the early containment of infection. Death from infection is strongly heritable in human populations. Hence, genetic variations that disrupt innate immune sensing of infectious organisms could explain the ability of the immune system to respond to infection, the diversity of the clinical presentation of sepsis, the response to current medical treatment, and the genetic predisposition to infection in each individual patient. Such genetic variations may identify patients at high risk for the development of sepsis and organ dysfunction during severe infections. Single base variations, known as single nucleotide polymorphisms (SNPs), are the most commonly used variants. There has been great interest in exploring SNP in those genes involved in the inflammatory cascade resulting from the systemic inflammatory response to micro organisms. The rationale for studying gene SNPs in critical illnesses seeks to identify potential markers of susceptibility, severity, and clinical outcome; seeks to identify potential markers for responders and non-responders in clinical trials, and seeks to identify targets for therapeutic intervention. In this review, we focus on the current state of association studies of those genes governing the powerful bacterial infection-induced inflammation and provide guidelines for future studies describing disease associations with genetic variations based on current recommendations. We envision a time in the near future when genotyping will be include in the standard evaluation of critically ill patients and will help to prioritize a therapeutic option.
Large-scale association studies hold substantial promise for unraveling the genetic basis of common human diseases. A well-known problem with such studies is the presence of undetected population structure, which can lead to both false positive results and failures to detect genuine associations. Here we examine approximately 15,000 genome-wide single-nucleotide polymorphisms typed in three population groups to assess the consequences of population structure on the coming generation of association studies. The consequences of population structure on association outcomes increase markedly with sample size. For the size of study needed to detect typical genetic effects in common diseases, even the modest levels of population structure within population groups cannot safely be ignored. We also examine one method for correcting for population structure (Genomic Control). Although it often performs well, it may not correct for structure if too few loci are used and may overcorrect in other settings, leading to substantial loss of power. The results of our analysis can guide the design of large-scale association studies.