Genome scanning reveals novel candidate genes for vertebral and teat number in the Beijing Black Pig

A QTL for Number of Teats Shows Breed Specific Effects on Number of Vertebrae in Pigs: Bridging the Gap Between Molecular and Quantitative Genetics

(2019) Maren van Son et al.   Frontiers in Genetics

Identifying patients with NTRK fusion cancer

(2019) J P Solomon et al.   ANNALS OF ONCOLOGY

Clinical or ATPase domain mutations in ABCD4 disrupt the interaction between the vitamin B12-trafficking proteins ABCD4 and LMBD1

(2017) Victoria Fettelschoss et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

Correlation between Hox code and vertebral morphology in the mouse: towards a universal model for Synapsida

(2017) Christine Böhmer   Zoological Letters

Identification of loci affecting teat number by genome-wide association studies on three pig populations

(2016) Jianhong Tang et al.   ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES

Genome-wide study refines the quantitative trait locus for number of ribs in a Large White × Minzhu intercross pig population and reveals a new candidate gene

(2016) Long-Chao Zhang et al.   MOLECULAR GENETICS AND GENOMICS

Possible introgression of the VRTN mutation increasing vertebral number, carcass length and teat number from Chinese pigs into European pigs

(2016) Jie Yang et al.   Scientific Reports

TRKing Down an Old Oncogene in a New Era of Targeted Therapy

(2014) Aria Vaishnavi et al.   Cancer Discovery

Genetic analysis of functional and non-functional teats in a population of Yorkshire pigs

(2013) Helena Chalkias et al.   Livestock Science

Mapping and fine mapping of quantitative trait loci for the number of vertebrae in a White Duroc × Chinese Erhualian intercross resource population

(2012) D. R. Ren et al.   ANIMAL GENETICS

Mutations in ABCD4 cause a new inborn error of vitamin B12 metabolism

(2012) David Coelho et al.   NATURE GENETICS

Evidence for a Myotomal Hox/Myf Cascade Governing Nonautonomous Control of Rib Specification within Global Vertebral Domains

(2010) Tânia Vinagre et al.   DEVELOPMENTAL CELL

Mixed linear model approach adapted for genome-wide association studies

(2010) Zhiwu Zhang et al.   NATURE GENETICS