BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Reis Neto RV, Yoshida GM, Lhorente JP, Yáñez JM. Genome-wide association analysis for body weight identifies candidate genes related to development and metabolism in rainbow trout (Oncorhynchus mykiss). Mol Genet Genomics 2019;294:563-71. [PMID: 30635785 DOI: 10.1007/s00438-018-1518-2] [Cited by in Crossref: 35] [Cited by in F6Publishing: 28] [Article Influence: 11.7] [Reference Citation Analysis]
Number Citing Articles
1 Wang Z, Liu Y, Zheng Z, Deng Y. A genome-wide association study identifies SNPs and candidate genes associated with nacre color of pearl oyster Pinctada fucata martensii. Aquaculture 2022;561:738743. [DOI: 10.1016/j.aquaculture.2022.738743] [Reference Citation Analysis]
2 Bernard M, Dehaullon A, Gao G, Paul K, Lagarde H, Charles M, Prchal M, Danon J, Jaffrelo L, Poncet C, Patrice P, Haffray P, Quillet E, Dupont-nivet M, Palti Y, Lallias D, Phocas F. Development of a High-Density 665 K SNP Array for Rainbow Trout Genome-Wide Genotyping. Front Genet 2022;13:941340. [DOI: 10.3389/fgene.2022.941340] [Reference Citation Analysis]
3 Gabián M, Morán P, Saura M, Carvajal-rodríguez A. Detecting Local Adaptation between North and South European Atlantic Salmon Populations. Biology 2022;11:933. [DOI: 10.3390/biology11060933] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Bernard M, Dehaullon A, Gao G, Paul K, Lagarde H, Charles M, Prchal M, Danon J, Jaffrelo L, Poncet C, Patrice P, Haffray P, Quillet E, Dupont-nivet M, Palti Y, Lallias D, Phocas F. Development of a high-density 665 K SNP array for rainbow trout genome-wide genotyping.. [DOI: 10.1101/2022.04.17.488574] [Reference Citation Analysis]
5 Zhou Y, Fu H, Wang Y, Huang H. Genome-wide association study reveals growth-related SNPs and candidate genes in mandarin fish (Siniperca chuatsi). Aquaculture 2022;550:737879. [DOI: 10.1016/j.aquaculture.2021.737879] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Yang Y, Wang T, Chen J, Wu X, Wu L, Zhang W, Luo J, Xia J, Meng Z, Liu X. First construction of interspecific backcross grouper and genome-wide identification of their genetic variants associated with early growth. Aquaculture 2021;545:737221. [DOI: 10.1016/j.aquaculture.2021.737221] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
7 Morro B, Broughton R, Balseiro P, Handeland SO, Mackenzie S, Doherty MK, Whitfield PD, Shimizu M, Gorissen M, Sveier H, Albalat A. Endoplasmic reticulum stress as a key mechanism in stunted growth of seawater rainbow trout (Oncorhynchus mykiss). BMC Genomics 2021;22:824. [PMID: 34781893 DOI: 10.1186/s12864-021-08153-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Paul K, D'ambrosio J, Phocas F. Temporal and region‐specific variations in genome‐wide inbreeding effects on female size and reproduction traits of rainbow trout. Evol Appl. [DOI: 10.1111/eva.13308] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Cádiz MI, López ME, Díaz-Domínguez D, Cáceres G, Marin-Nahuelpi R, Gomez-Uchida D, Canales-Aguirre CB, Orozco-terWengel P, Yáñez JM. Detection of selection signatures in the genome of a farmed population of anadromous rainbow trout (Oncorhynchus mykiss). Genomics 2021;113:3395-404. [PMID: 34339816 DOI: 10.1016/j.ygeno.2021.07.027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
10 Boudry P, Allal F, Aslam ML, Bargelloni L, Bean TP, Brard-fudulea S, Brieuc MS, Calboli FC, Gilbey J, Haffray P, Lamy J, Morvezen R, Purcell C, Prodöhl PA, Vandeputte M, Waldbieser GC, Sonesson AK, Houston RD. Current status and potential of genomic selection to improve selective breeding in the main aquaculture species of International Council for the Exploration of the Sea (ICES) member countries. Aquaculture Reports 2021;20:100700. [DOI: 10.1016/j.aqrep.2021.100700] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 15.0] [Reference Citation Analysis]
11 Zhou Y, Fu B, Yu X, Chen G, Wang J, Luo W, Feng Y, Tong J. Genome-wide association study reveals genomic regions and candidate genes for head size and shape in bighead carp (Hypophthalmichthys nobilis). Aquaculture 2021;539:736648. [DOI: 10.1016/j.aquaculture.2021.736648] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
12 Yoshida GM, Yáñez JM. Increased accuracy of genomic predictions for growth under chronic thermal stress in rainbow trout by prioritizing variants from GWAS using imputed sequence data. Evol Appl. [DOI: 10.1111/eva.13240] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]
13 Grummer JA, Whitlock MC, Schulte PM, Taylor EB. Growth genes are implicated in the evolutionary divergence of sympatric piscivorous and insectivorous rainbow trout (Oncorhynchus mykiss). BMC Ecol Evol 2021;21:63. [PMID: 33888062 DOI: 10.1186/s12862-021-01795-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
14 Orbán L, Shen X, Phua N, Varga L. Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals? Front Genet 2021;12:506754. [PMID: 33968125 DOI: 10.3389/fgene.2021.506754] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
15 Blay C, Haffray P, Bugeon J, D'Ambrosio J, Dechamp N, Collewet G, Enez F, Petit V, Cousin X, Corraze G, Phocas F, Dupont-Nivet M. Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout, Oncorhynchus mykiss. Front Genet 2021;12:639223. [PMID: 33692832 DOI: 10.3389/fgene.2021.639223] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
16 Yoshida GM, Yáñez JM. Multi-trait GWAS using imputed high-density genotypes from whole-genome sequencing identifies genes associated with body traits in Nile tilapia. BMC Genomics 2021;22:57. [PMID: 33451291 DOI: 10.1186/s12864-020-07341-z] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 22.0] [Reference Citation Analysis]
17 Gallardo-hidalgo J, Barría A, Yoshida GM, Yáñéz JM. Genetics of growth and survival under chronic heat stress and trade-offs with growth- and robustness-related traits in rainbow trout. Aquaculture 2021;531:735685. [DOI: 10.1016/j.aquaculture.2020.735685] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
18 You X, Shan X, Shi Q. Research advances in the genomics and applications for molecular breeding of aquaculture animals. Aquaculture 2020;526:735357. [DOI: 10.1016/j.aquaculture.2020.735357] [Cited by in Crossref: 48] [Cited by in F6Publishing: 22] [Article Influence: 24.0] [Reference Citation Analysis]
19 D'Ambrosio J, Morvezen R, Brard-Fudulea S, Bestin A, Acin Perez A, Guéméné D, Poncet C, Haffray P, Dupont-Nivet M, Phocas F. Genetic architecture and genomic selection of female reproduction traits in rainbow trout. BMC Genomics 2020;21:558. [PMID: 32795250 DOI: 10.1186/s12864-020-06955-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
20 Yáñez JM, Joshi R, Yoshida GM. Genomics to accelerate genetic improvement in tilapia. Anim Genet 2020;51:658-74. [PMID: 32761644 DOI: 10.1111/age.12989] [Cited by in Crossref: 19] [Cited by in F6Publishing: 21] [Article Influence: 9.5] [Reference Citation Analysis]
21 Cleveland BM, Gao G, Leeds TD. Transcriptomic Response to Selective Breeding for Fast Growth in Rainbow Trout (Oncorhynchus mykiss). Mar Biotechnol 2020;22:539-50. [DOI: 10.1007/s10126-020-09974-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
22 Ali A, Al-Tobasei R, Lourenco D, Leeds T, Kenney B, Salem M. Genome-wide identification of loci associated with growth in rainbow trout. BMC Genomics 2020;21:209. [PMID: 32138655 DOI: 10.1186/s12864-020-6617-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
23 Yáñez JM, Yoshida G, Barria A, Palma-Véjares R, Travisany D, Díaz D, Cáceres G, Cádiz MI, López ME, Lhorente JP, Jedlicki A, Soto J, Salas D, Maass A. High-Throughput Single Nucleotide Polymorphism (SNP) Discovery and Validation Through Whole-Genome Resequencing in Nile Tilapia (Oreochromis niloticus). Mar Biotechnol (NY) 2020;22:109-17. [PMID: 31938972 DOI: 10.1007/s10126-019-09935-5] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 8.0] [Reference Citation Analysis]
24 Yang Y, Wu L, Wu X, Li B, Huang W, Weng Z, Lin Z, Song L, Guo Y, Meng Z, Liu X, Xia J. Identification of Candidate Growth-Related SNPs and Genes Using GWAS in Brown-Marbled Grouper (Epinephelus fuscoguttatus). Mar Biotechnol (NY) 2020;22:153-66. [PMID: 31927644 DOI: 10.1007/s10126-019-09940-8] [Cited by in Crossref: 23] [Cited by in F6Publishing: 26] [Article Influence: 11.5] [Reference Citation Analysis]
25 Jia C, Li C, Fu D, Chu M, Zan L, Wang H, Liang C, Yan P. Identification of genetic loci associated with growth traits at weaning in yak through a genome-wide association study. Anim Genet 2020;51:300-5. [PMID: 31877578 DOI: 10.1111/age.12897] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
26 Sun J, Wu Q, Shen D, Wen Y, Liu F, Gao Y, Ding J, Zhang J. TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies. Sci Rep 2019;9:18034. [PMID: 31792302 DOI: 10.1038/s41598-019-54519-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
27 Barria A, Marín-Nahuelpi R, Cáceres P, López ME, Bassini LN, Lhorente JP, Yáñez JM. Single-Step Genome-Wide Association Study for Resistance to Piscirickettsia salmonis in Rainbow Trout (Oncorhynchus mykiss). G3 (Bethesda) 2019;9:3833-41. [PMID: 31690599 DOI: 10.1534/g3.119.400204] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
28 Rodríguez FH, Flores-Mara R, Yoshida GM, Barría A, Jedlicki AM, Lhorente JP, Reyes-López F, Yáñez JM. Genome-Wide Association Analysis for Resistance to Infectious Pancreatic Necrosis Virus Identifies Candidate Genes Involved in Viral Replication and Immune Response in Rainbow Trout (Oncorhynchus mykiss). G3 (Bethesda) 2019;9:2897-904. [PMID: 31324747 DOI: 10.1534/g3.119.400463] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 6.0] [Reference Citation Analysis]
29 Xu Y, Peng G, Sun M, Li J, Yan W, Tang J, Pan J, Xu Z. Genomic organization of the molt-inhibiting hormone gene in the red swamp crayfish Procambarus clarkii and characterization of single-nucleotide polymorphisms associated with growth. Comp Biochem Physiol B Biochem Mol Biol 2019;237:110334. [PMID: 31472239 DOI: 10.1016/j.cbpb.2019.110334] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
30 Yoshida GM, Lhorente JP, Correa K, Soto J, Salas D, Yáñez JM. Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia (Oreochromis niloticus). G3 (Bethesda) 2019;9:2597-607. [PMID: 31171566 DOI: 10.1534/g3.119.400116] [Cited by in Crossref: 34] [Cited by in F6Publishing: 38] [Article Influence: 11.3] [Reference Citation Analysis]
31 Yáñez J, Yoshida G, Barria A, Palma-véjares R, Travisany D, Díaz D, Cáceres G, Cádiz M, López M, Lhorente J, Jedlicki A, Soto J, Salas D, Maass A. High-throughput single nucleotide polymorphism (SNP) discovery and validation through whole-genome resequencing of hundreds of individuals in Nile tilapia (Oreochromis niloticus).. [DOI: 10.1101/594671] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
32 Yoshida GM, Lhorente JP, Correa K, Soto J, Salas D, Yáñez JM. Genome-wide association study and low-cost genomic predictions for growth and fillet yield in Nile tilapia (Oreochromis niloticus).. [DOI: 10.1101/573022] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]