Autor: Ballard, David - Prolib Integro

Skocz do pozycji: 1.

Autorzy:: Azevedo, Luísa
Branicki, Wojciech
Ballard, David
Amorim, Antonio
Oliveira, Manuela
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Artykuł

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Skocz do pozycji: 2.

Autorzy:: Amorim, António
Branicki, Wojciech
Oliveira, Manuela
Ballard, David
Mason-Buck, Gabriella
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Artykuł

na półce

Skocz do pozycji: 3.

Tytuł:: Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound : a prospective observational study
Autorzy:: Złahoda-Huzior, Adriana
Pędziwiatr, Michał
Witowski, Jan
Grochowska, Anna
Popiela, Tadeusz
Budzyński, Andrzej
Wierdak, Mateusz
Major, Piotr
Ballard, David H.
Rubinkiewicz, Mateusz
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness
Autorzy:: Syndercombe-Court, Denise
Morling, Niels
Margreet, van den Berge
Sarah, Abidi
Ballard, David
Parson, Walther
Sijen, Titja
Borsting, Claus
Mayra, Eduardoff
Skowron, Małgorzata
Weiler, Natalie
Sochtig, Jens
Marczakiewicz-Lustig, Anna
Pośpiech, Ewelina
Schneider, Peter
Branicki, Wojciech
Marcińska, Magdalena
Ángel, Carracedo
Phillips, Chris
Opis:: Androgenetic alopecia, known in men as male pattern baldness (MPB), is a very conspicuous condition that is particularly frequent among European men and thus contributes markedly to variation in physical appearance traits amongst Europeans. Recent studies have revealed multiple genes and polymorphisms to be associated with susceptibility to MPB. In this study, 50 candidate SNPs for androgenetic alopecia were analyzed in order to verify their potential to predict MPB. Significant associations were confirmed for 29 SNPs from chromosomes X, 1, 5, 7, 18 and 20. A simple 5-SNP prediction model and an extended 20-SNP model were developed based on a discovery panel of 305 males from various European populations fitting one of two distinct phenotype categories. The first category consisted of men below 50 years of age with significant baldness and the second; men aged 50 years or older lacking baldness. The simple model comprised the five best predictors: rs5919324 near AR, rs1998076 in the 20p11 region, rs929626 in EBF1, rs12565727 in TARDBP and rs756853 in HDAC9. The extended prediction model added 15 SNPs from five genomic regions that improved overall prevalence-adjusted predictive accuracy measured by area under the receiver characteristic operating curve (AUC). Both models were evaluated for predictive accuracy using a test set of 300 males reflecting the general European population. Applying a 65% probability threshold, high prediction sensitivity of 87.1% but low specificity of 42.4% was obtained in men aged <50 years. In men aged ≥50, prediction sensitivity was slightly lower at 67.7% while specificity reached 90%. Overall, the AUC=0.761 calculated for men at or above 50 years of age indicates these SNPs offer considerable potential for the application of genetic tests to predict MPB patterns, adding a highly informative predictive system to the emerging field of forensic analysis of externally visible characteristics.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego