Locating human quantitative trait loci: Guidelines for the selection of sibling pairs for genotyping

1994 ◽  
Vol 24 (5) ◽  
pp. 443-455 ◽  
Author(s):  
Lindon Eaves ◽  
Joanne Meyer
2006 ◽  
Vol 91 (10) ◽  
pp. 4164-4170 ◽  
Author(s):  
Delphine Fradin ◽  
Simon Heath ◽  
Jacques Lepercq ◽  
Mark Lathrop ◽  
Pierre Bougnères

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.


Crop Science ◽  
2020 ◽  
Vol 60 (4) ◽  
pp. 2008-2018
Author(s):  
Renjie Cui ◽  
Josh Clevenger ◽  
Ye Chu ◽  
Timothy Brenneman ◽  
Thomas G. Isleib ◽  
...  

Genome ◽  
2003 ◽  
Vol 46 (3) ◽  
pp. 411-422 ◽  
Author(s):  
Aaron D Beattie ◽  
Jamie Larsen ◽  
Tom E Michaels ◽  
K Peter Pauls

Breeding a model plant that encompasses individual traits thought to enhance yield potential, known as ideotype breeding, has traditionally focused on phenotypic selection of plants with desirable morphological traits. Broadening this breeding method to the molecular level through the use of molecular markers would avoid the environmental interactions associated with phenotypic selection. A population of 110 F5 recombinant inbred lines (RILs), derived from the cross between WO3391 and 'OAC Speedvale', was used to develop a genetic linkage map consisting of 105 random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and sequence-tagged site (STS) markers. The map has a total length of 641 cM distributed across 8 linkage groups (LGs). Five of them were aligned on the core linkage map of bean. Twenty-one quantitative trait loci (QTLs) were identified over three environments for eight agronomic and architectural traits previously defined for a bean (Phaseolus vulgaris L.) ideotype. The QTLs were mapped to seven LGs with several regions containing QTLs for multiple traits. At least one QTL was located for each trait and a maximum of four were associated with lodging. Total explained phenotypic variance ranged from 10.6% for hypocotyl diameter to 45.4% for maturity. Some of the QTLs identified will be useful for early generation selection of tall, upright, high-yielding lines in a breeding program.Key words: molecular markers, genetic map, plant architecture, yield.


2002 ◽  
Vol 87 (11) ◽  
pp. 5151-5159 ◽  
Author(s):  
Hong-Wen Deng ◽  
Fu-Hua Xu ◽  
Qing-Yang Huang ◽  
Hui Shen ◽  
Hongyi Deng ◽  
...  

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.


2004 ◽  
Vol 74 (3) ◽  
pp. 444-453 ◽  
Author(s):  
Kristel M. van Asselt ◽  
Helen S. Kok ◽  
Hein Putter ◽  
Cisca Wijmenga ◽  
Petra H.M. Peeters ◽  
...  

2012 ◽  
Vol 62 (3) ◽  
pp. 223-234 ◽  
Author(s):  
Kiyosumi Hori ◽  
Tomomori Kataoka ◽  
Kiyoyuki Miura ◽  
Masayuki Yamaguchi ◽  
Norikuni Saka ◽  
...  

2012 ◽  
Vol 50 (08) ◽  
Author(s):  
R Hall ◽  
R Müllenbach ◽  
S Huss ◽  
R Alberts ◽  
K Schughart ◽  
...  

2004 ◽  
Vol 42 (08) ◽  
Author(s):  
F Lammert ◽  
S Hillebrandt ◽  
S Matern ◽  
K Spatz ◽  
RM Green

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