Evidence map›Paper›PMID 41957694›Full record

ArticleBMC genomics2026

Global analysis of bovine milk protein variants using multi-breed DNA sequence data.

Ying Liu, Etske Bijl, Junxin Gao, Rayner Gonzalez-Prendes, Martien A M Groenen, Juha Kantanen, Catarina Ginja, Nasser Ghanem, Donald Rugira Kugonza, Mahlako Makgahlela and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ying LiuAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands. ying1.liu@wur.nl.
Etske BijlFood Quality and Design Group, Wageningen University and Research, Wageningen, 6700 AA, The Netherlands.
Junxin GaoAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands.
Rayner Gonzalez-PrendesAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands.
Martien A M GroenenAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands.
Juha KantanenNatural Resources Institute Finland, Jokioinen, Finland.
Catarina GinjaFaculty of Veterinary Medicine, CIISA, University of Lisbon, Lisbon, Portugal.
Nasser GhanemAnimal Production Department, Faculty of Agriculture, Cairo University, Giza, Egypt.
Donald Rugira KugonzaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Mahlako MakgahlelaAgricultural Research CouncilAnimal Production Institute, Irene, South Africa.
Henk BovenhuisAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands.
Richard P M A CrooijmansAnimal Breeding and Genomics, Wageningen University and Research, Wageningen, 6700 AH, The Netherlands.

Funding

China Scholarship Council 202209210016Fundação Nacional para a Ciência e a Tecnologia 2020.02754.CEECIND/CP1601/CP1649/CT0008Long-term EU-Africa Research and Innovation Partnership on Food and Nutrition Security and Sustainable Agriculture 727715Ministry of Science MoSTI/LEAP-11National Research Foundation 115577NWO-WOTRO 2018/WOTRO/00488849Research Council of Finland 319987Science, Technology & Innovation Funding Authority LEAP-Agri 326
6 · The paper itself

Abstract

backgroundTo date, 63 variants of six major bovine milk proteins (α

resultsWe investigated variants of the six major milk proteins in 3,824 cattle representing 113 breeds with wide geographical distribution using whole genome sequencing data. 59 missense variants of milk protein genes that can alter the amino acid sequence of the mature protein were detected. Notably, 10 out of 11 missense variants in CSN3 were located within the region coding for the glyco-macropeptide, whereas the para-κ-casein region involved in micelle stabilization remained highly conserved with only one variant detected, suggesting functional constraint in this region. A total of 121 milk protein variants were identified based on different combinations of the 59 missense variants, of which 35 had been described previously. We detected 86 novel variants that had not been reported previously. These protein variants were likely missed in earlier studies due to technical limitations or the use of limited number of animals or breeds.

conclusionThis study provides a comprehensive overview of milk protein diversity across global cattle breeds, offering valuable insights for improving milk quality and properties, guiding selective breeding and prioritizing variants for future functional investigation in the dairy sector.

Indexed as

Genetic VariationMilk ProteinsAnimalsBreedingCattleMilkMutation, MissenseSequence Analysis, DNAWhole Genome SequencingMilk ProteinsGenetic variationGenome sequencingGlobal cattle breedsMilk protein

Identifiers

PMID41957694
PMCPMC13182118

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.