Quantitative Trait Loci Mapping of Functional Traits in the German Holstein Cattle Population

Kuhn, C; Bennewitz, Jörn; Reinsch, Norbert; Xu, Ning; Thomsen, Hauke; Looft, Christian; Brockmann, Gudrun A.; Schwerin, Manfred; Weimann, Christina; Hiendleder, Stefan; Erhardt, G.; Medjugorac, I.; Förster, M.; Brenig, Bertram; Reinhardt, F.; Reents, R.; Ruß, Ingolf; Averdunk, G.; Blümel, J.; Kalm, E.

doi:10.3168/jds.s0022-0302(03)73614-5

Cited by 136 publications

(152 citation statements)

References 37 publications

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“…The QTL on BTA4 is located near marker HUJ673 in the Swedish and the present studies. In our study, the position of the QTL on BTA18 is at the opposite end of the chromosome close to BMS1355 instead of TGLA227 in the study by Kühn et al [24]. Additionally, a QTL reported by Kühn et al [24] for direct stillbirth, which is related to maternal CM, was supported in the present study where a QTL for CM was suggested on BTA6.…”

supporting

confidence: 82%

“…QTL were suggested on BTA4 and 19 and detected at genome-wise significance on BTA7 and 11 [15] and BTA8, 10, 18, and X/Y [24]. The QTL on BTA4, 11 and 18 were supported in the present study.…”

supporting

confidence: 81%

“…NRR as a paternal effect was previously mapped in one study [24] in which QTL affecting NRR were found on BTA10 and 18. The position of the QTL on BTA10 [24] was between markers TGLA378 and TGLA102, which is close to our finding near the marker ILSTS53.…”

mentioning

confidence: 99%

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Quantitative trait loci for fertility traits in Finnish Ayrshire cattle

et al. 2008

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-A whole genome scan was carried out to detect quantitative trait loci (QTL) for fertility traits in Finnish Ayrshire cattle. The mapping population consisted of 12 bulls and 493 sons. Estimated breeding values for days open, fertility treatments, maternal calf mortality and paternal non-return rate were used as phenotypic data. In a granddaughter design, 171 markers were typed on all 29 bovine autosomes. Associations between markers and traits were analysed by multiple marker regression. Multi-trait analyses were carried out with a variance component based approach for the chromosomes and trait combinations, which were observed significant in the regression method. Twenty-two chromosome-wise significant QTL were detected. Several of the detected QTL areas were overlapping with milk production QTL previously identified in the same population. Multi-trait QTL analyses were carried out to test if these effects were due to a pleiotropic QTL affecting fertility and milk yield traits or to linked QTL causing the effects. This distinction could only be made with confidence on BTA1 where a QTL affecting milk yield is linked to a pleiotropic QTL affecting days open and fertility treatments.QTL / fertility / dairy cow

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supporting

confidence: 82%

supporting

confidence: 81%

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Quantitative trait loci for fertility traits in Finnish Ayrshire cattle

et al. 2008

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“…The two QTL on chromosome 10 for perinatal mortality were not in the vicinity of QTL previously reported to be associated with perinatal mortality on this chromosome (Kühn et al, 2003;Schnabel et al, 2005;Sahana et al, 2011;Seidenspinner et al, 2011;Höglund et al, 2012). Two candidate genes (RAB11A and MEGF11) were identified in the LD block of rs43616983.…”

Section: Chromosome 18mentioning

confidence: 71%

“…QTL regions on chromosomes 4, 6, 8, 12 and 18 have been associated with calving performance in several studies (Schrooten et al, 2000;Kühn et al, 2003;Olsen et al, 2010;Sahana et al, 2011). However, no sole causative QTL region seems to influence these traits, rather it is the cumulative effect of many of these regions and the allelic variation that lies within these that contributes to the observed phenotype.…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association study for calving traits in Holstein–Friesian dairy cattle

Purfield

Bradley

Kearney

et al. 2014

Animal

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Dystocia and perinatal mortality are quantitative traits that significantly impact animal productivity and welfare. Their economic importance is reflected by their inclusion in the national breeding goals of many cattle populations. The genetic architecture that influences these traits, however, has still yet to be thoroughly defined. Regions of the bovine genome associated with calving difficulty (direct and maternal) and perinatal mortality were detected in this study using a Bayesian approach with 43 204 single nucleotide polymorphisms (SNPs) on up to 1970 Holstein-Friesian bulls. Several SNPs on chromosomes 5, 6, 11, 12, 17,18 and 28 were detected to be strongly associated with these calving performance traits. Novel genomic regions with previously reported associations with growth, stature, birth weight and bone morphology were identified in the present study as being associated with the three calving performance traits. Morphological abnormalities are a known contributor to perinatal mortality and the most significantly associated SNP for perinatal mortality in the present study was located in a region in linkage disequilibrium with the gene SLC26A7. This gene, SLC26A7, has similarities and colocalises with SLC4A2, which has previously been associated with osteoporosis and mortality in cattle populations. The HHIP gene that is known to be associated with stature in humans was strongly associated with direct calving difficulty in the present study; large calves are known to, on average, have a greater likelihood of dystocia. A stemloop microRNA, bta-mir-1256, on chromosome 12, involved in post-transcriptional regulation of gene expression was associated with maternal calving difficulty. Previously reported quantitative trait loci associated with calving performance traits in other populations were again identified in this study; with one genomic region on chromosome 18 supporting very strong evidence of an underlying causative mutation and accounting for 2.1% of the genetic variation in direct calving difficulty. Overlapping genomic regions associated with one or more of the calving traits were also detected substantiating the known genetic covariances existing between these traits. Moreover, some genomic regions were only associated with one of the calving traits implying the selective genomic breeding programs exploiting these regions could help resolve genetic antagonisms.Keywords: dystocia, mortality, calving difficulty, genomic, quantitative trait loci ImplicationsThis study contributes to the understanding of the underlying genetic architecture and aetiology of dystocia and perinatal mortality both of which are quantitative traits that have a significant economic farm impact. Moreover, the detection of quantitative trait loci associated with only one calving trait can help resolve genetic antagonisms if targeted in genomic breeding programs -for example, selecting for decreased calving difficulty without impacting maternal calving difficulty.

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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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Quantitative Trait Loci Mapping of Functional Traits in the German Holstein Cattle Population

Cited by 136 publications

References 37 publications

Quantitative trait loci for fertility traits in Finnish Ayrshire cattle

Quantitative trait loci for fertility traits in Finnish Ayrshire cattle

Genome-wide association study for calving traits in Holstein–Friesian dairy cattle

LinkingDNAto production: the mapping of quantitative trait loci in livestock

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