Dataset Information

A high-density screen for linkage in multiple sclerosis.

ABSTRACT: To provide a definitive linkage map for multiple sclerosis, we have genotyped the Illumina BeadArray linkage mapping panel (version 4) in a data set of 730 multiplex families of Northern European descent. After the application of stringent quality thresholds, data from 4,506 markers in 2,692 individuals were included in the analysis. Multipoint nonparametric linkage analysis revealed highly significant linkage in the major histocompatibility complex (MHC) on chromosome 6p21 (maximum LOD score [MLS] 11.66) and suggestive linkage on chromosomes 17q23 (MLS 2.45) and 5q33 (MLS 2.18). This set of markers achieved a mean information extraction of 79.3% across the genome, with a Mendelian inconsistency rate of only 0.002%. Stratification based on carriage of the multiple sclerosis-associated DRB1*1501 allele failed to identify any other region of linkage with genomewide significance. However, ordered-subset analysis suggested that there may be an additional locus on chromosome 19p13 that acts independent of the main MHC locus. These data illustrate the substantial increase in power that can be achieved with use of the latest tools emerging from the Human Genome Project and indicate that future attempts to systematically identify susceptibility genes for multiple sclerosis will have to involve large sample sizes and an association-based methodology.

SUBMITTER: Sawcer S

PROVIDER: S-EPMC1226210 | biostudies-literature | 2005 Sep

REPOSITORIES: biostudies-literature

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A high-density screen for linkage in multiple sclerosis.

Sawcer Stephen S Ban Maria M Maranian Mel M Yeo Tai Wai TW Compston Alastair A Kirby Andrew A Daly Mark J MJ De Jager Philip L PL Walsh Emily E Lander Eric S ES Rioux John D JD Hafler David A DA Ivinson Adrian A Rimmler Jacqueline J Gregory Simon G SG Schmidt Silke S Pericak-Vance Margaret A MA Akesson Eva E Hillert Jan J Datta Pameli P Oturai Annette A Ryder Lars P LP Harbo Hanne F HF Spurkland Anne A Myhr Kjell-Morten KM Laaksonen Mikko M Booth David D Heard Robert R Stewart Graeme G Lincoln Robin R Barcellos Lisa F LF Hauser Stephen L SL Oksenberg Jorge R JR Kenealy Shannon J SJ Haines Jonathan L JL

American journal of human genetics 20050729 3

To provide a definitive linkage map for multiple sclerosis, we have genotyped the Illumina BeadArray linkage mapping panel (version 4) in a data set of 730 multiplex families of Northern European descent. After the application of stringent quality thresholds, data from 4,506 markers in 2,692 individuals were included in the analysis. Multipoint nonparametric linkage analysis revealed highly significant linkage in the major histocompatibility complex (MHC) on chromosome 6p21 (maximum LOD score [M ...[more]

PMID: 16080120

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Project description:BACKGROUNDThe objective of this research was to map quantitative trait loci (QTLs) of multiple traits of breeding importance in pea (Pisum sativum L.). Three recombinant inbred line (RIL) populations, PR-02 (Orb x CDC Striker), PR-07 (Carerra x CDC Striker) and PR-15 (1-2347-144 x CDC Meadow) were phenotyped for agronomic and seed quality traits under field conditions over multiple environments in Saskatchewan, Canada. The mapping populations were genotyped using genotyping-by-sequencing (GBS) method for simultaneous single nucleotide polymorphism (SNP) discovery and construction of high-density linkage maps.RESULTSAfter filtering for read depth, segregation distortion, and missing values, 2234, 3389 and 3541 single nucleotide polymorphism (SNP) markers identified by GBS in PR-02, PR-07 and PR-15, respectively, were used for construction of genetic linkage maps. Genetic linkage groups were assigned by anchoring to SNP markers previously positioned on these linkage maps. PR-02, PR-07 and PR-15 genetic maps represented 527, 675 and 609 non-redundant loci, and cover map distances of 951.9, 1008.8 and 914.2 cM, respectively. Based on phenotyping of the three mapping populations in multiple environments, 375 QTLs were identified for important traits including days to flowering, days to maturity, lodging resistance, Mycosphaerella blight resistance, seed weight, grain yield, acid and neutral detergent fiber concentration, seed starch concentration, seed shape, seed dimpling, and concentration of seed iron, selenium and zinc. Of all the QTLs identified, the most significant in terms of explained percentage of maximum phenotypic variance (PVmax) and occurrence in multiple environments were the QTLs for days to flowering (PVmax =?47.9%), plant height (PVmax =?65.1%), lodging resistance (PVmax =?35.3%), grain yield (PVmax =?54.2%), seed iron concentration (PVmax =?27.4%), and seed zinc concentration (PVmax =?43.2%).CONCLUSIONWe have identified highly significant and reproducible QTLs for several agronomic and seed quality traits of breeding importance in pea. The QTLs identified will be the basis for fine mapping candidate genes, while some of the markers linked to the highly significant QTLs are useful for immediate breeding applications.

Dataset Information

A high-density screen for linkage in multiple sclerosis.

Publications

A high-density screen for linkage in multiple sclerosis.

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