QTL-ALL
QTL-ALL performs quantitative trait locus (QTL) linkage analysis for nuclear family datasets, emphasizing score statistics for ascertained samples such as concordant and discordant sibling pairs.
Key Features:
- QTL linkage statistics: Calculates a diverse array of QTL linkage statistics, including LOD scores.
- Score statistic methodology: Implements score statistics tailored for ascertained samples (concordant and discordant sibling pairs).
- Data format support: Supports sib-pair and sibship data formats.
- Two-dimensional genome-wide strategy: Enables two-dimensional (pairwise) genome-wide linkage analysis.
- Polygenic effect detection: Facilitates identification of polygenic effects that contribute to complex traits.
Scientific Applications:
- Genome-wide linkage scans: Applied in genome-wide linkage scans for complex phenotypes.
- Type 2 diabetes mellitus (T2DM) studies: Used in an analysis of T2DM in 238 sib-pairs from American Samoa to investigate genetic variation and locus pairs including 11q22, 21q21, and 9q21.
- Adult height linkage: Detected linkage for variation in adult height on chromosome 9q31.
- Locus-pair discovery: Identified locus pairs (e.g., 11q22 and 21q21; 9q21 and 11q22) with maximum LOD scores exceeding 2.00 in a two-dimensional genome-wide scan.
- Candidate gene and pathway selection: Aids selection of candidate genes and molecular pathways by highlighting linked loci and polygenic effects.
Methodology:
Computes QTL linkage statistics and LOD scores, implements score statistic methodology for ascertained sibling pairs, accepts sib-pair and sibship formats, and performs two-dimensional genome-wide (pairwise) linkage analyses.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Åberg K, Sun G, Smelser D, Indugula SR, Tsai H, Steele MS, Tuitele J, Deka R, McGarvey ST, Weeks DE. Applying Novel Genome-Wide Linkage Strategies to Search for Loci Influencing Type 2 Diabetes, et al. (2008)80[99:anglst]2.0.co;2. PMID:18720898. PMCID:PMC3701160.