Sequence-based association analysis identifies coding and noncoding variants in HFM1, MLH3, MSH4, MSH5, RNF212 and RNF212B with large effects on male and female recombination rate in cattle - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Conference Poster Year : 2016

Sequence-based association analysis identifies coding and noncoding variants in HFM1, MLH3, MSH4, MSH5, RNF212 and RNF212B with large effects on male and female recombination rate in cattle

Naveen Kumar Kadri
  • Function : Author
Chad Harland
  • Function : Author
Pierre Faux
GIGA-R, Unit of Animal Genomics
Nadine Cambisano
  • Function : Author
Latifa Karim
  • Function : Author
Wouter Coppieters
  • Function : Author
Sébastien Fritz
Erik Mullaart
  • Function : Author
Didier Boichard
Richard Spelman
  • Function : Author
Tom Druet
Michel Georges
  • Function : Author
  • PersonId : 947988
Carole Charlier

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Animal genetics

Pierre Faux  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-04189867

Submitted on : Tuesday, August 29, 2023-10:39:35 AM

Last modification on : Wednesday, October 11, 2023-9:34:53 AM

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hal-04189867 , version 1 (29-08-2023)

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  • HAL Id : hal-04189867 , version 1

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Naveen Kumar Kadri, Chad Harland, Pierre Faux, Nadine Cambisano, Latifa Karim, et al.. Sequence-based association analysis identifies coding and noncoding variants in HFM1, MLH3, MSH4, MSH5, RNF212 and RNF212B with large effects on male and female recombination rate in cattle. 5th International Congress on Quantitative Genetics, Jun 2016, Madison (WI), United States. ⟨hal-04189867⟩

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