scholarly journals A Whole-Genome Linkage Scan Suggests Several Genomic Regions Potentially Containing Quantitative Trait Loci for Osteoporosis

2002 ◽  
Vol 87 (11) ◽  
pp. 5151-5159 ◽  
Author(s):  
Hong-Wen Deng ◽  
Fu-Hua Xu ◽  
Qing-Yang Huang ◽  
Hui Shen ◽  
Hongyi Deng ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Whole Genome ◽  
Mineral Density ◽  
Lod Score ◽  
Multipoint Analysis ◽  
Sibling Pairs ◽  
Point Analysis ◽  
Trait Loci ◽  
Genomic Regions

Abstract Osteoporosis is an important health problem, particularly in the elderly women. Bone mineral density (BMD) is a major determinant of osteoporosis. For a sample of 53 pedigrees that contain 1249 sibling pairs, 1098 grandparent-grandchildren pairs, and 2589 first cousin pairs, we performed a whole- genome linkage scan using 380 microsatellite markers to identify genomic regions that may contain quantitative trait loci (QTL) of BMD. Each pedigree was ascertained through a proband with BMD values belonging to the bottom 10% of the population. We conducted two-point and multipoint linkage analyses. Several potentially important genomic regions were suggested. For example, the genomic region near the marker D10S1651 may contain a QTL for hip BMD variation (with two-point analysis LOD score of 1.97 and multipoint analysis LOD score of 2.29). The genomic regions near the markers D4S413 and D12S1723 may contain QTLs for spine BMD variation (with two-point analysis LOD score of 2.12 and 2.17 and multipoint analysis LOD score of 3.08 and 2.96, respectively). The genomic regions identified in this and some earlier reports are compared for exploration in extension studies with larger samples and/or denser markers for confirmation and fine mapping to eventually identify major functional genes involved in osteoporosis.

scholarly journals Identification of Distinct Quantitative Trait Loci Affecting Length or Weight Variability at Birth in Humans

2006 ◽  
Vol 91 (10) ◽  
pp. 4164-4170 ◽  
Author(s):  
Delphine Fradin ◽  
Simon Heath ◽  
Jacques Lepercq ◽  
Mark Lathrop ◽  
Pierre Bougnères
Keyword(s):  
Birth Weight ◽  
Quantitative Trait Loci ◽  
Fetal Growth ◽  
Quantitative Trait ◽  
Close Correlation ◽  
Birth Length ◽  
Lod Score ◽  
Sibling Pairs ◽  
A Genome ◽  
Trait Loci

Abstract Context: The variability of human fetal growth is multifactorial. Twin and family studies demonstrate that genetic determinants influence normal fetal growth, but the responsible genetic polymorphisms are unknown. Objective: The objective of the study was the mapping of quantitative trait loci (QTLs) for birth length and weight. Design and Methods: To approach the genetic factors implicated in the normal variation of birth length and weight, we conducted a genome-wide approach of these two quantitative traits in 220 French Caucasian pedigrees (412 sibling pairs) using a variance components method. Results: We observed evidence for several QTLs influencing birth length or birth weight independently. Whereas birth length and weight showed a close correlation (r = 0.76, P < 0.0001), their genetic variability appeared largely determined by distinct genomic loci. Birth length was influenced by two major QTLs located in 2p21 and 2q11 (LOD scores 2.69 and 3.57). The variability of birth weight was linked to another QTL on 7q35 (LOD score 3.1). Several other regions showed more modest evidence for linkage with LOD score values of 1–2 on chromosomes 7, 8, 10, 13, and 17 for birth length and chromosomes 1, 2, 6, 8, 10, 13, 14, 15, 17, and 20 for birth weight. Conclusion: These preliminary QTLs provide a first step toward the identification of the genomic variants involved in the variability of human fetal growth. Our results should, however, be considered preliminary until they are replicated in other studies.

Whole-genome resequencing identifies quantitative trait loci associated with mycorrhizal colonization of soybean

2019 ◽  
Vol 133 (2) ◽  
pp. 409-417 ◽  
Author(s):  
Michelle L. Pawlowski ◽  
Tri D. Vuong ◽  
Babu Valliyodan ◽  
Henry T. Nguyen ◽  
Glen L. Hartman
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Mycorrhizal Colonization ◽  
Whole Genome ◽  
Genome Resequencing ◽  
Trait Loci ◽  
Whole Genome Resequencing

A whole-genome scan for quantitative trait loci affecting teat number in pigs.

2001 ◽  
Vol 79 (9) ◽  
pp. 2320 ◽  
Author(s):  
H Hirooka ◽  
D J de Koning ◽  
B Harlizius ◽  
J A van Arendonk ◽  
A P Rattink ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Genome Scan ◽  
Whole Genome ◽  
Trait Loci ◽  
Teat Number ◽  
Whole Genome Scan

scholarly journals Identification of quantitative trait loci associated with canopy temperature in soybean

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sumandeep K. Bazzer ◽  
Larry C. Purcell
Keyword(s):  
Quantitative Trait Loci ◽  
Phenotypic Variation ◽  
Quantitative Trait ◽  
Recombinant Inbred Lines ◽  
Canopy Temperature ◽  
Growth And Yield ◽  
Indirect Measure ◽  
Trait Loci ◽  
Genomic Regions ◽  
The Impact

Abstract A consistent risk for soybean (Glycine max L.) production is the impact of drought on growth and yield. Canopy temperature (CT) is an indirect measure of transpiration rate and stomatal conductance and may be valuable in distinguishing differences among genotypes in response to drought. The objective of this study was to map quantitative trait loci (QTLs) associated with CT using thermal infrared imaging in a population of recombinant inbred lines developed from a cross between KS4895 and Jackson. Heritability of CT was 35% when estimated across environments. QTL analysis identified 11 loci for CT distributed on eight chromosomes that individually explained between 4.6 and 12.3% of the phenotypic variation. The locus on Gm11 was identified in two individual environments and across environments and explained the highest proportion of phenotypic variation (9.3% to 11.5%) in CT. Several of these CT loci coincided with the genomic regions from previous studies associated with canopy wilting, canopy temperature, water use efficiency, and other morpho-physiological traits related with drought tolerance. Candidate genes with biological function related to transpiration, root development, and signal transduction underlie these putative CT loci. These genomic regions may be important resources in soybean breeding programs to improve tolerance to drought.

scholarly journals Whole-Genome Mapping of Agronomic and Metabolic Traits to Identify Novel Quantitative Trait Loci in Bread Wheat Grown in a Water-Limited Environment

2013 ◽  
Vol 162 (3) ◽  
pp. 1266-1281 ◽  
Author(s):  
C. B. Hill ◽  
J. D. Taylor ◽  
J. Edwards ◽  
D. Mather ◽  
A. Bacic ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bread Wheat ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Whole Genome ◽  
Metabolic Traits ◽  
Trait Loci ◽  
Whole Genome Mapping

Whole-genome scan identifies quantitative trait loci for chronic pastern dermatitis in German draft horses

2009 ◽  
Vol 21 (1-2) ◽  
pp. 95-103 ◽  
Author(s):  
E. Henrike Mittmann ◽  
Stefanie Mömke ◽  
Ottmar Distl
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Genome Scan ◽  
Whole Genome ◽  
Trait Loci ◽  
Whole Genome Scan
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