Quantitative Trait Loci for Health Traits in Finnish Ayrshire Cattle

Schulman, Nina; Viitala, Sirja; Koning, Dirk-Jan de; Virta, Jouni; Mäki‐Tanila, Asko; Vilkki, Johanna

doi:10.3168/jds.s0022-0302(04)73183-5

Cited by 94 publications

(97 citation statements)

References 21 publications

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“…Schrooten et al [56] detected QTL for SCS on BTA18 in Dutch Holsteins. Schulman et al [57] identified a QTL for both SCS and mastitis on the distal end of BTA18 in Finnish cattle. The same QTL was also detected in German cattle [8,37].…”

Section: Somatic Cell Score and Mastitismentioning

confidence: 99%

“…The mastitis QTL on BTA6 is in the region of the QTL for milk production, and this may partially account for the unfavorable genetic correlation between high milk production and increased susceptibility of mastitis. Schulman et al [57] reported QTL for mastitis on BTA14 and BTA18 in Finnish Ayrshire cattle. The distal end of BTA18 showed linkage both for SCS and mastitis.…”

Section: Somatic Cell Score and Mastitismentioning

confidence: 99%

“…There was also some support for QTL for calf mortality and milking speed on the same chromosome by these authors. More recently Schulman et al [57] identified QTL on chromosomes 1, 2, 5, 8, 15, 22 and 23 for veterinary treatment in Ayrshire cattle.…”

Section: Other Traitsmentioning

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: Somatic Cell Score and Mastitismentioning

confidence: 99%

Section: Somatic Cell Score and Mastitismentioning

confidence: 99%

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

et al. 2004

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“…Therefore, the use of genetic markers to indicate resistance or susceptibility to mastitis or to better exploit the phenotypic information through genomic selection (GS) is an attractive proposition (Goddard and Hayes, 2007). At present, however, the available literature on GS and molecular markers for mastitis resistance mainly refer to dairy cattle (Klungland et al, 2001;Boichard et al, 2003;Schulman et al, 2004). In sheep, quantitative trait loci (QTL) influencing SCS have recently been detected (Rupp et al, 2003b;Gutierrez-Gil et al, 2007;Raadsma et al, 2009).…”

Section: Actual Situation and Prospects For Improvementmentioning

confidence: 99%

Genetic selection for reduced somatic cell counts in sheep milk: A review

Riggio

Portolano

2015

Small Ruminant Research

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a b s t r a c tMastitis is an inflammation of the udder, mainly caused by bacteria, and leads to economic loss, due to discarded milk, reduced milk production, reduced milk quality and increased health costs in both dairy sheep and cattle. Selecting for increased genetic resistance to mastitis can be done directly or indirectly, with the indirect selection corresponding to a prediction of the bacteriological status of the udder based on traits related to the infection. The most frequently used indirect method is currently milk somatic cell count (SCC) or somatic cell score (SCS). This review reports the state of the art relating to the genetic basis of mastitis resistance in sheep and explores the opportunities to use SCC as selection criterion in a breeding programme to improve resistance to mastitis in sheep, discussing the actual situation and prospects for improvement. It has been stressed, in particular, that although it is unlikely that selection for mastitis resistance by the farmers on their own will be successful, there is good prospect for genetic improvement if reliable pedigree and performance recording is implemented across flocks, combined with breeding value estimation. To achieve this, a strong and well-structured organization to implement and support the programme is essential.

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“…GWAS studies on bovine mastitis-related traits have also reported QTL affecting susceptibility to mastitis on chromosome 14 (Schulman et al, 2004;Lund et al, 2007;Tiezzi et al, 2015) by using different populations and experimental plans.…”

Section: Discussionmentioning

confidence: 99%

An alternative experimental case–control design for genetic association studies on bovine mastitis

Biffani

Corvo

Capoferri

et al. 2017

Animal

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The possibility of using genetic control strategies to increase disease resistance to infectious diseases relies on the identification of markers to include in the breeding plans. Possible incomplete exposure of mastitis-free (control) animals, however, is a major issue to find relevant markers in genetic association studies for infectious diseases. Usually, designs based on elite dairy sires are used in association studies, but an epidemiological case-control strategy, based on cows repeatedly field-tested could be an alternative for disease traits. To test this hypothesis, genetic association results obtained in the present work from a cohort of Italian Holstein cows tested for mastitis over time were compared with those from a previous genome-wide scan on Italian Holstein sires genotyped with 50k single nucleotide polymorphisms for de-regressed estimated breeding values for somatic cell counts (SCCs) on Bos taurus autosome (BTA6) and BTA14. A total of 1121 cows were selected for the case-control approach (cases = 550, controls = 571), on a combination of herd level of SCC incidence and of within herd individual level of SCC. The association study was conducted on nine previously identified markers, six on BTA6 and four on BTA14, using the R statistical environment with the 'qtscore' function of the GenABEL package, on high/low adjusted linear score as a binomial trait. The results obtained in the cow cohort selected on epidemiological information were in agreement with those obtained from the previous sire genome-wide association study (GWAS). Six out of the nine markers showed significant association, four on BTA14 (rs109146371, rs109234250, rs109421300, rs109162116) and two on BTA6 (rs110527224 and rs42766480). Most importantly, using mastitis as a case study, the current work further validated the alternative use of historical field disease data in case-control designs for genetic analysis of infectious diseases in livestock.Keywords: experimental design, association study, mastitis, cattle, genetic marker ImplicationsRecent developments in livestock genomic research have shown that host genetics has a significant role in the spread of an infectious disease. Experimental plans powerful enough to quantify the genetic variation in disease resistance in most livestock species require field data that, however, is very noisy due to incomplete exposure or imperfect diagnosis. The current work has demonstrated the potential use of individual historical field disease data to set an alternative experimental case-control designs for the study of genetic associations with infectious diseases in livestock aiming to reduce noise in field data, using mastitis in cattle as case study. IntroductionControl of major infectious disease in livestock remains challenging despite the detailed characterisation of the infectious agents associated with common diseases and the deciphering of their genome sequences (Tomley and Shirley, 2009). Furthermore, recent developments in livestock genetic and genomic research have shown that h...

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Quantitative Trait Loci for Health Traits in Finnish Ayrshire Cattle

Cited by 94 publications

References 21 publications

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

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

Genetic selection for reduced somatic cell counts in sheep milk: A review

An alternative experimental case–control design for genetic association studies on bovine mastitis

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