Literature DB >> 1461589

Body weight, fat storage, and alcohol metabolism.

J P Flatt1.   

Abstract

Ethanol account for a significant fraction of the energy intake of persons consuming even moderate amounts of alcohol. A recent study has shown that although alcohol does not reveal itself as a layer floating at the top of a drink, metabolically it behaves more like oil than sugar.

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Year:  1992        PMID： 1461589     DOI： 10.1111/j.1753-4887.1992.tb01344.x

Source DB:  PubMed          Journal:  Nutr Rev        ISSN： 0029-6643            Impact factor:   7.110


  15 in total

1.  Deep neural network improves the estimation of polygenic risk scores for breast cancer.

Authors:  Adrien Badré; Li Zhang; Wellington Muchero; Justin C Reynolds; Chongle Pan
Journal:  J Hum Genet       Date:  2020-10-02       Impact factor: 3.172

2.  Genome-Wide Association Analysis Reveals the Genetic Architecture of Parasite (Cryptocaryon irritans) Resistance in Large Yellow Croaker (Larimichthys crocea).

Authors:  Ji Zhao; Tao Zhou; Huaqiang Bai; Qiaozhen Ke; Bijun Li; Mindong Bai; Zhixiong Zhou; Fei Pu; Weiqiang Zheng; Peng Xu
Journal:  Mar Biotechnol (NY)       Date:  2021-02-20       Impact factor: 3.619

Review 3.  Polygenic adaptation: a unifying framework to understand positive selection.

Authors:  Neda Barghi; Joachim Hermisson; Christian Schlötterer
Journal:  Nat Rev Genet       Date:  2020-06-29       Impact factor: 53.242

4.  Genomic selection can accelerate the biofortification of spring wheat.

Authors:  Reem Joukhadar; Rebecca Thistlethwaite; Richard M Trethowan; Matthew J Hayden; James Stangoulis; Suong Cu; Hans D Daetwyler
Journal:  Theor Appl Genet       Date:  2021-07-12       Impact factor: 5.699

5.  A combined BSA-Seq and linkage mapping approach identifies genomic regions associated with Phytophthora root and crown rot resistance in squash.

Authors:  Gregory Vogel; Kyle E LaPlant; Michael Mazourek; Michael A Gore; Christine D Smart
Journal:  Theor Appl Genet       Date:  2021-01-03       Impact factor: 5.699

6.  Optimization of training sets for genomic prediction of early-stage single crosses in maize.

Authors:  Dnyaneshwar C Kadam; Oscar R Rodriguez; Aaron J Lorenz
Journal:  Theor Appl Genet       Date:  2021-01-04       Impact factor: 5.699

7.  Genomic prediction of agronomic traits in wheat using different models and cross-validation designs.

Authors:  Teketel A Haile; Sean Walkowiak; Amidou N'Diaye; John M Clarke; Pierre J Hucl; Richard D Cuthbert; Ron E Knox; Curtis J Pozniak
Journal:  Theor Appl Genet       Date:  2020-11-01       Impact factor: 5.699

8.  High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat.

Authors:  Yunlong Pang; Yuye Wu; Chunxia Liu; Wenhui Li; Paul St Amand; Amy Bernardo; Danfeng Wang; Lei Dong; Xiufang Yuan; Huirui Zhang; Meng Zhao; Linzhi Li; Liming Wang; Fang He; Yunlong Liang; Qiang Yan; Yue Lu; Yu Su; Hongming Jiang; Jiajie Wu; Anfei Li; Lingrang Kong; Guihua Bai; Shubing Liu
Journal:  Theor Appl Genet       Date:  2021-06-01       Impact factor: 5.699

9.  Increased Prediction Accuracy Using Combined Genomic Information and Physiological Traits in A Soft Wheat Panel Evaluated in Multi-Environments.

Authors:  Jia Guo; Sumit Pradhan; Dipendra Shahi; Jahangir Khan; Jordan Mcbreen; Guihua Bai; J Paul Murphy; Md Ali Babar
Journal:  Sci Rep       Date:  2020-04-27       Impact factor: 4.379

10.  Genomic prediction and training set optimization in a structured Mediterranean oat population.

Authors:  Simon Rio; Luis Gallego-Sánchez; Gracia Montilla-Bascón; Francisco J Canales; Julio Isidro Y Sánchez; Elena Prats
Journal:  Theor Appl Genet       Date:  2021-08-03       Impact factor: 5.699
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