QTL analysis and genomewide mutagenesis in mice: complementary genetic approaches to the dissection of complex traits.
نویسندگان
چکیده
Quantitative genetics and quantitative trait locus (QTL) mapping have undergone a revolution in the last decade. Progress in the next decade promises to be at least as rapid, and strategies for fine-mapping QTLs and identifying underlying genes will be radically revised. In this Commentary we address several key issues: first, we revisit a perennial challenge--how to identify individual genes and allelic variants underlying QTLs. We compare current practice and procedures in QTL analysis with novel methods and resources that are just now being introduced. We argue that there is no one standard of proof for showing QTL = gene; rather, evidence from several sources must be carefully assembled until there is only one reasonable conclusion. Second, we compare QTL analysis with whole-genome mutagenesis in mice and point out some of the strengths and weakness of both of these phenotype-driven methods. Finally, we explore the advantages and disadvantages of naturally occurring vs mutagen-induced polymorphisms. We argue that these two complementary genetic methods have much to offer in efforts to highlight genes and pathways most likely to influence the susceptibility and progression of common diseases in human populations.
منابع مشابه
Identification of genomic loci controlling phenologic and morphologic traits in barley (Hordeum vulgare L.) genotypes using association analysis
Association mapping is a technique with high resolution for QTL mapping based on linkage disequilibrium and has shown more promising for describing genetically complex traits. In addition, it is a powerful tool for describing complex agronomic traits and identifying alleles that can contribute to enhance the desired traits. In this study, whole genome association mapping was used in a set of 14...
متن کاملIdentification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
Many agriculturally important traits are complex, affected by many genes and the environment. Quantitative trait loci (QTL) mapping is a key tool for studying the genetic structure of complex traits in plants. In the present study QTLs associated with yield and agronomical traits such as leaf number, leaf length, leaf width, plant height, stem and head diameter were identified by using 70 recom...
متن کاملBayesian mapping of genomewide interacting quantitative trait loci for ordinal traits.
Development of statistical methods and software for mapping interacting QTL has been the focus of much recent research. We previously developed a Bayesian model selection framework, based on the composite model space approach, for mapping multiple epistatic QTL affecting continuous traits. In this study we extend the composite model space approach to complex ordinal traits in experimental cross...
متن کاملA high-resolution association mapping panel for the dissection of complex traits in mice.
Systems genetics relies on common genetic variants to elucidate biologic networks contributing to complex disease-related phenotypes. Mice are ideal model organisms for such approaches, but linkage analysis has been only modestly successful due to low mapping resolution. Association analysis in mice has the potential of much better resolution, but it is confounded by population structure and in...
متن کاملGenetic Structure of Salinity Tolerance in Rice at Seedling Stage
The Oryza sativa L. F8 population derived from a cross between salt tolerance cv. Ahlemi Tarom and salt sensitive cv. Neda was used in the study. Germinated seeds floated on water for 3 d, and after were transferred to float on Yoshida's nutrient solution for 11 d. two weeks after sowing, the seedling was transferred to nutrient solution containing 51.19 mM NaCl (electrical conductivity 6 dSm-1...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Behavior genetics
دوره 31 1 شماره
صفحات -
تاریخ انتشار 2001