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Massive detection of cryptic recessive genetic defects in cattle mining millions of life histories

2023-09-23

Abstract excerpt

We present a data-mining framework designed to detect recessive defects in livestock that have been previously missed due to a lack of specific signs, incomplete penetrance, or incomplete linkage disequilibrium. This approach leverages the massive data generated by genomic selection. Its basic principle is to compare the observed and expected numbers of homozygotes for sliding haplotypes in animals with different...

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Literature Corpus work
acda2d1a-38d0-59f7-a005-f1071fa707d2
DOI
10.1101/2023.09.22.558782
Open publication

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Massive detection of cryptic recessive genetic defects in cattle mining millions of life historiesDOI 10.1101/2023.09.22.558782
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