scholarly journals Linkage Analysis of Extremely Discordant and Concordant Sibling Pairs Identifies Quantitative Trait Loci Influencing Variation in Human Menopausal Age

2004 ◽  
Vol 74 (3) ◽  
pp. 444-453 ◽  
Author(s):  
Kristel M. van Asselt ◽  
Helen S. Kok ◽  
Hein Putter ◽  
Cisca Wijmenga ◽  
Petra H.M. Peeters ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Sibling Pairs ◽  
Trait Loci

scholarly journals Using Linkage Analysis to Identify Quantitative Trait Loci for Sleep Apnea in Relationship to Body Mass Index

2008 ◽  
Vol 72 (6) ◽  
pp. 762-773 ◽  
Author(s):  
E. K. Larkin ◽  
S. R. Patel ◽  
R. C. Elston ◽  
C. Gray-McGuire ◽  
X. Zhu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Apnea ◽  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Body Mass ◽  
Quantitative Trait ◽  
Trait Loci

Joint Linkage and Linkage Disequilibrium Mapping of Quantitative Trait Loci in Natural Populations

Genetics ◽  
2002 ◽  
Vol 160 (2) ◽  
pp. 779-792 ◽  
Author(s):  
Rongling Wu ◽  
Chang-Xing Ma ◽  
George Casella
Keyword(s):  
Linkage Disequilibrium ◽  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Genome Mapping ◽  
Linkage Disequilibrium Mapping ◽  
Allelic Association ◽  
Mapping Strategy ◽  
Trait Loci ◽  
New Strategy

AbstractLinkage analysis and allelic association (also referred to as linkage disequilibrium) studies are two major approaches for mapping genes that control simple or complex traits in plants, animals, and humans. But these two approaches have limited utility when used alone, because they use only part of the information that is available for a mapping population. More recently, a new mapping strategy has been designed to integrate the advantages of linkage analysis and linkage disequilibrium analysis for genome mapping in outcrossing populations. The new strategy makes use of a random sample from a panmictic population and the open-pollinated progeny of the sample. In this article, we extend the new strategy to map quantitative trait loci (QTL), using molecular markers within the EM-implemented maximum-likelihood framework. The most significant advantage of this extension is that both linkage and linkage disequilibrium between a marker and QTL can be estimated simultaneously, thus increasing the efficiency and effectiveness of genome mapping for recalcitrant outcrossing species. Simulation studies are performed to test the statistical properties of the MLEs of genetic and genomic parameters including QTL allele frequency, QTL effects, QTL position, and the linkage disequilibrium of the QTL and a marker. The potential utility of our mapping strategy is discussed.

scholarly journals Two-locus Linkage Analysis Applied to Putative Quantitative Trait Loci for Lipoprotein(a) Levels

Twin Research ◽  
2003 ◽  
Vol 6 (4) ◽  
pp. 322-324 ◽  
Author(s):  
Marian Beekman ◽  
Bastiaan T. Heijmans ◽  
Nicholas G. Martin ◽  
John B. Whitfield ◽  
Nancy L. Pedersen ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Linkage Analysis ◽  
Quantitative Trait ◽  
Lipoprotein A ◽  
Trait Loci

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.

Sign in / Sign up

Export Citation Format

Share Document