A Genome Scan for Quantitative Trait Loci Affecting Milk Production in Norwegian Dairy Cattle

Olsen, Harald; Gomez‐Raya, Luis; Våge, Dag Inge; Olsaker, I.; Klungland, Helge; Svendsen, Mathias Tiedemann; Ådnøy, Tormod; Sabry, Ayman; Klemetsdal, G.; Schulman, Nina; Krämer, Wolfgang; Thaller, Georg; Rønningen, K.; Lien, Sigbjørn

doi:10.3168/jds.s0022-0302(02)74400-7

Cited by 78 publications

(70 citation statements)

References 28 publications

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“…A consistent finding across studies reporting QTL for MY on BTA6 suggests a primary QTL segregating near the center of BTA6 close to marker BM143 [38,49,54,63] and a second QTL more distant from the centromere [54,60,68].…”

Section: Milk Yieldsupporting

confidence: 66%

“…Plante et al [50] and Ron et al [55] also detected a significant QTL for FP on BTA3. QTL for FY have also been identified on this chromosome [49,53]. Many additional QTL with significant effects on FP and FY have been reported for chromosomes 5, 6, 9, 20 and 26.…”

Section: Fat Percent and Yieldmentioning

confidence: 89%

“…Kim et al [34] fine mapped a QTL for PP to the growth hormone receptor (GHR) gene. On the same chromosome, a QTL for PY was detected at 46−70 cM in Norwegian cattle [49] and at 48 cM in DBDR families [53]. Ashwell et al [5], Boichard et al [10], Heyen et al [31] and Zhang et al [71] reported a QTL for PP towards the centromeric end of BTA3.…”

Section: Protein Percent and Yieldmentioning

confidence: 99%

“…In a separate GDD, Georges et al [24] and Zhang et al [71] used 14 half-sib families with a total of 1518 sons from the US Holstein population. QTL detection studies using GDDs have also been published based on the New Zealand and Dutch dairy populations [3,15,27,52,60,61], German Holsteins [22,38,43], Finnish Ayrshires [63,65], British black and white cattle [68], Canadian Holsteins [48,50], Norwegian cattle [49] and French dairy cattle [10]. Lipkin et al [41] and Mosig et al [47] used selective DNA pooling with a DD in Israeli Holstein Friesian cattle.…”

Section: Dairy Resource Populationsmentioning

confidence: 99%

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Quantitative trait loci mapping in dairy cattle: review and meta-analysis

et al. 2004

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-From an extensive review of public domain information on dairy cattle quantitative trait loci (QTL), we have prepared a draft online QTL map for dairy production traits. Most publications (45 out of 55 reviewed) reported QTL for the major milk production traits (milk, fat and protein yield, and fat and protein concentration (%)) and somatic cell score. Relatively few QTL studies have been reported for more complex traits such as mastitis, fertility and health. The collated QTL map shows some chromosomal regions with a high density of QTL, as well as a substantial number of QTL at single chromosomal locations. To extract the most information from these published records, a meta-analysis was conducted to obtain consensus on QTL location and allelic substitution effect of these QTL. This required modification and development of statistical methodologies. The meta-analysis indicated a number of consensus regions, the most striking being two distinct regions affecting milk yield on chromosome 6 at 49 cM and 87 cM explaining 4.2 and 3.6 percent of the genetic variance of milk yield, respectively. The first of these regions (near marker BM143) affects five separate milk production traits (protein yield, protein percent, fat yield, fat percent, as well as milk yield).quantitative trait loci / dairy cattle / review / meta-analysis

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Section: Milk Yieldsupporting

confidence: 66%

Section: Fat Percent and Yieldmentioning

confidence: 89%

Section: Protein Percent and Yieldmentioning

confidence: 99%

Section: Dairy Resource Populationsmentioning

confidence: 99%

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Quantitative trait loci mapping in dairy cattle: review and meta-analysis

et al. 2004

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“…The same QTLs were also discovered in other populations of Holstein cattle as well as in breeds such as Finnish Ayrshire (19) and Norwegian cattle (20). Ron et al (13) showed that the region containing the analyzed QTLs was located approximately 4 cM from the BM143 microsatellite, whereas Olsen et al (20), using physical mapping, combined linkage and LD mapping and determined the location of these QTLs. They were located within a 420-kb region lying between the ABCG2 and LAP3 genes (12).…”

Section: Discussionmentioning

confidence: 99%

Genetic polymorphisms of FAM13A1, OPN, LAP3, and HCAP-G genes in Jersey cattle

Umul

2013

Turk J Vet Anim Sci

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IntroductionStudies by numerous authors indicate that many bovine chromosomes (BTAs), including BTA3,6,9,14,20, and 23, in particular, bear clusters of quantitative trait loci (QTL) of different milk performance traits. In numerous reports the studies concentrated on BTA6 within 2 regions, in which clusters of genes associated with milk performance traits are located (1). These regions are the fragments in the middle part of BTA6, close to the BM143 marker, and the region close to the casein genes complex (2,3). Previous literature suggests that genes located near BM143 affect 5 milk performance traits, including milk yield (kg), milk protein and fat yield (kg), and milk protein and fat content (%) (1). The region encompassing these genes extends from the FAM13A (family with sequence similarity 13, member A1) to the PPARGC1A (peroxisome proliferator-activated receptor-γ coactivator-1α) genes and spans approximately 6.2 cM. In this range, there are genes whose effects on the performance traits of cattle have already been examined, such as OPN (osteopontin), and genes that may potentially influence these traits, such as FAM13A1, LAP3 (leucine aminopeptidase 3), and HCAP-G (condensin subunit 3) (4-6).Osteopontin (OPN) is a phosphorylated glycoprotein that plays a role in different processes in the organism, for example in cell adhesion, chemotaxis, cell signaling, and the regulation of growth and development of the fetus, as well as in the initiation and maintenance of pregnancy ( 7). The presence of OPN in milk and its high level of expression in mammary epithelial cells may cause proliferation and differentiation of the mammary gland (8). Despite fulfilling so many functions, OPN is treated by most authors as a positional candidate gene for milkperformance traits harboring the QTL region on BTA6 (9,10). Other studied genes do not play such an important role in the organism and, therefore, are considered first of all as positional candidate genes.It was suggested that the FAM13A1, LAP3, and HCAP-G genes may be associated with milk-performance traits such as milk yield and milk composition, mainly due to their location in the analyzed region and due to the fact that the expression levels of these genes were found to be different in the mammary gland (4,(11)(12)(13). Preliminary assessments of the association of these genes with milkperformance traits were reported (5,(11)(12)(13). For instance, the LAP3 gene may affect milk fat and protein yield, the FAM13A1 and LAP3 genes may affect the change in milk protein content, and the LAP3 gene has been associated with milk yield (5,(11)(12)(13).On the basis of the above-mentioned data, this research aimed at determining the allele and genotype frequencies of the single-nucleotide polymorphisms (SNPs) in the FAM13A1, OPN, LAP3, and HCAP-G genes in a herd of Jersey cows, as well as establishing possible associations between the genotypes and the milk-performance traits of the examined herd of cattle.

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LinkingDNAto production: the mapping of quantitative trait loci in livestock

Moore

Hansen

2005

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

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The concept that quantitative variation is controlled by an infinite number of genes was a widely accepted hypothesis until the 1980s. The more recent concept of a few genes of moderate to large effect underlying quantitative variation is integral to our ability to detect genes affecting quantitative trait loci (QTL). This latter hypothesis has gained credence owing to the success of QTL mapping studies in multiple livestock species including cattle, sheep, swine, and chickens. A large number of QTL have been mapped for a variety of traits in livestock species. Only very few genes underlying QTL have, however, been identified to date. Methodologies are being developed that will increase our ability to identify the genes underlying QTL. This chapter gives an overview of the work that has been done to map QTL in cattle, swine, sheep, and chickens.

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A Genome Scan for Quantitative Trait Loci Affecting Milk Production in Norwegian Dairy Cattle

Cited by 78 publications

References 28 publications

Quantitative trait loci mapping in dairy cattle: review and meta-analysis

Quantitative trait loci mapping in dairy cattle: review and meta-analysis

Genetic polymorphisms of FAM13A1, OPN, LAP3, and HCAP-G genes in Jersey cattle

LinkingDNAto production: the mapping of quantitative trait loci in livestock

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