Publications by authors named "Andrew Marete"

Article Synopsis
  • Mycobacterium avium ssp. paratuberculosis (MAP) causes Johne's disease in cattle, and genetic factors influence the immune system's response to this disease, affecting susceptibility in populations.
  • Researchers used RNA sequencing to analyze immune responses in macrophages from both infected and healthy cattle, identifying a large number of genetic variants associated with disease susceptibility.
  • Key findings included significant genetic variants linked to two quantitative trait loci and pathways affecting metabolism and energy regulation that may influence the risk of Johne's disease.
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The Genome Analysis Toolkit (GATK) is a popular set of programs for discovering and genotyping variants from next-generation sequencing data. The current GATK recommendation for RNA sequencing (RNA-seq) is to perform variant calling from individual samples, with the drawback that only variable positions are reported. Versions 3.

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A within-breed genome-wide association study (GWAS) is useful when identifying the QTL that segregates in a breed. However, an across-breed meta-analysis can be used to increase the power of identification and precise localization of QTL that segregate in multiple breeds. Precise localization will allow including QTL information from other breeds in genomic prediction due to the persistence of the linkage phase between the causal variant and the marker.

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Using GWAS to identify candidate genes associated with cattle morphology traits at a functional level is challenging. The main difficulty of identifying candidate genes and gene interactions associated with such complex traits is the long-range linkage disequilibrium (LD) phenomenon reported widely in dairy cattle. Systems biology approaches, such as combining the Association Weight Matrix (AWM) with a Partial Correlation in an Information Theory (PCIT) algorithm, can assist in overcoming this LD.

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Article Synopsis
  • Researchers conducted an association study on 32,491 French Holstein dairy cows to analyze the genetic factors affecting milking speed using SNP chip data.
  • They found significant SNPs on 22 chromosomes related to milking speed, with 971 genome-wide significant SNPs identified, some also linked to clinical mastitis and somatic cell score.
  • Notable findings included the discovery of 11 novel quantitative trait loci (QTL) for milking speed, with the strongest signal associated with the ZFAT gene on chromosome 14.
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Background: Domestication and artificial selection have resulted in strong genetic drift, relaxation of purifying selection and accumulation of deleterious mutations. As a consequence, bovine breeds experience regular outbreaks of recessive genetic defects which might represent only the tip of the iceberg since their detection depends on the observation of affected animals with distinctive symptoms. Thus, recessive mutations resulting in embryonic mortality or in non-specific symptoms are likely to be missed.

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