Evidence map›Paper›PMID 41310724›Full record

ArticleBMC veterinary research2025

Decoding the DNA of Anatolian water buffalo by genome-wide discoveries for body size and ultrasound carcass traits.

Samet Çinkaya, Mustafa Tekerli, Metin Erdoğan, Mustafa Demirtaş, Serdar Koçak, Koray Çelikeloğlu, Özlem Hacan, Eda Demirtaş, Zeynep Nur Çinkaya, Yunus Arzık and 6 more

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Samet ÇinkayaDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye. sametcinkaya48@gmail.com.
Mustafa TekerliDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Metin ErdoğanDepartment of Veterinary Biology and Genetics, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Mustafa DemirtaşDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Serdar KoçakDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Koray ÇelikeloğluDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Özlem HacanDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Eda DemirtaşDepartment of Veterinary Biology and Genetics, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Zeynep Nur ÇinkayaDepartment of Histology and Embryology, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Yunus ArzıkDepartment of Animal Health Economics and Management, Faculty of Veterinary, Aksaray University, Aksaray, Türkiye, Türkiye.
Aylin DemirayDepartment of Breeding and Genetics, International Center for Livestock Research and Training, Ankara, Türkiye, Türkiye.
Senem Esin SelçukDepartment of Breeding and Genetics, International Center for Livestock Research and Training, Ankara, Türkiye, Türkiye.
Ahmet AkçayCentral Research Laboratory Application and Research Center, Mardin Artuklu University, Mardin, Türkiye, Türkiye.
Zehra BozkurtDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Orhan EserDepartment of Animal Science, Faculty of Veterinary, Afyon Kocatepe University, Afyonkarahisar, Türkiye, Türkiye.
Yusuf KaplanGeneral Directorate of Livestock, Ministry of Agriculture and Forestry, Republic of Türkiye, Ankara, Türkiye, Türkiye.

Funding

Tarimsal Araştirmalar ve Politikalar Genel Müdürlüğü, Türkiye Cumhuriyeti Tarim Ve Orman Bakanliği TAGEM/18/AR-GE/12
6 · The paper itself

Abstract

backgroundBody size and carcass traits are economically significant in livestock, contributing to productivity and meat quality improvement in breeding programs. Understanding the genetic basis of these traits can enhance selection strategies for livestock improvement. This research was carried out to identify genomic regions associated with body size and ultrasound carcass traits using the single-step genome-wide association study (ssGWAS) in Anatolian water buffaloes. Data consisted of wither height (WH), hip height (HH), body length (BL), chest width (CW), hip width (HW), chest circumference (CC), cannon-bone circumference (CBC), Musculus longissimus dorsi depth (MLDD), and subcutaneous fat thickness (SFT) records of 313 yearling buffaloes were used in the association analyses. Genotyping was carried out by using the 90 K Axiom Buffalo Genotyping array. Association analyses using genomic relationship matrix (GRM) were performed by WOMBAT software.

resultsTwenty SNPs were found to be genome-wide significant according to the FDR thresholds controlled at p < 0.01. Genes previously associated with body size and fat-related traits, including TRPC7, CEP290, KITLG, TMTC3, NELL2, DBX2, GLI2, BRINP1, TLR4, NYAP2, SORCS3, PIK3C3, LEP, RSPO2, and GTPBP4, were identified in this study.

conclusionThe identification of novel and previously associated genes could enhance genetic improvement, contributing to the understanding of the genetic basis of body morphology in buffaloes.

Indexed as

Body SizeBuffaloesAnimalsDNAFemaleGenome-Wide Association StudyGenotypeMalePolymorphism, Single NucleotideTurkeyUltrasonographyDNAAnatolian water buffaloBody measurementCandidate geneGWASSNPUltrasound carcass traits

Identifiers

PMID41310724
PMCPMC12659620

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.