Evidence map›Paper›PMID 24920005›Full record

ArticleGenome biology and evolution2014

Deciphering the genetic blueprint behind Holstein milk proteins and production.

Hyun-Jeong Lee, Jaemin Kim, Taeheon Lee, Jun Kyu Son, Ho-Baek Yoon, Kwang-Soo Baek, Jin Young Jeong, Yong-Min Cho, Kyung-Tai Lee, Byoung-Chul Yang and 8 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Genetic selection of athletic success in sport-hunting dogs.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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

18 authors.

Hyun-Jeong LeeDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Republic of KoreaDepartment of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University, Seoul, Republic of KoreaInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.
Jaemin KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, KoreaCHO&KIM Genomics, SNU Research Park, Seoul National University Mt.4-2, Seoul, Republic of Korea.
Taeheon LeeDepartment of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University, Seoul, Republic of Korea.
Jun Kyu SonDivision of Dairy Science, National Institute of Animal Science, Suwon, Republic of Korea.
Ho-Baek YoonDivision of Dairy Science, National Institute of Animal Science, Suwon, Republic of Korea.
Kwang-Soo BaekDivision of Dairy Science, National Institute of Animal Science, Suwon, Republic of Korea.
Jin Young JeongDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Republic of Korea.
Yong-Min ChoDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Republic of Korea.
Kyung-Tai LeeDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Republic of Korea.
Byoung-Chul YangDivision of Animal Biotechnology, National Institute of Animal Science, Suwon, Republic of Korea.
Hyun-Joo LimDivision of Dairy Science, National Institute of Animal Science, Suwon, Republic of Korea.
Kwanghyeon ChoDivision of Animal Breeding & Genetics, National Institute of Animal Science, Cheonan, Republic of Korea.
Tae-Hun KimDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Republic of Korea.
Eung Gi KwonDivision of Dairy Science, National Institute of Animal Science, Suwon, Republic of Korea.
Jungrye NamDepartment of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University, Seoul, Republic of Korea.
Woori KwakCHO&KIM Genomics, SNU Research Park, Seoul National University Mt.4-2, Seoul, Republic of Korea.
Seoae ChoCHO&KIM Genomics, SNU Research Park, Seoul National University Mt.4-2, Seoul, Republic of Korea.
Heebal KimDepartment of Agricultural Biotechnology and Research Institute of Population Genomics, Seoul National University, Seoul, Republic of KoreaInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea heebal@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Holstein is known to provide higher milk yields than most other cattle breeds, and the dominant position of Holstein today is the result of various selection pressures. Holstein cattle have undergone intensive selection for milk production in recent decades, which has left genome-wide footprints of domestication. To further characterize the bovine genome, we performed whole-genome resequencing analysis of 10 Holstein and 11 Hanwoo cattle to identify regions containing genes as outliers in Holstein, including CSN1S1, CSN2, CSN3, and KIT whose products are likely involved in the yield and proteins of milk and their distinctive black-and-white markings. In addition, genes indicative of positive selection were associated with cardiovascular disease, which is related to simultaneous propagation of genetic defects, also known as inbreeding depression in Holstein.

Indexed as

AnimalsBreedingCattleGenomeGenotypeMilkMilk ProteinsPolymorphism, Single NucleotideMilk ProteinsdomesticationHanwooHolsteinmilk productionmilk proteinpositive selection

Identifiers

PMID24920005
PMCPMC4079194

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.