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14.14. The impact of sex on gene expression across human tissues

Oliva Meritxell , Munoz-Aguirre Manuel , Kim-Hellmuth Sarah , Wucher Valentin , Gewirtz Ariel DH , Cotter Daniel J , Parsana Princy , Kasela Silva , Balliu Brunilda , Vinuela Ana , Castel Stephane E , Mohammadi Pejman , Aguet Francois , Zou Yuxin , Khramtsova Ekaterina A , Skol Andrew D , Garrido-Martin Diego , Reverter Ferran , Brown Andrew , Evans Patrick , Gamazon Eric R , Payne Anthony , Bonazzola Rodrigo , Barbeira Alvaro N , Hamel Andrew R , Martinez-Perez Angel , Soria Jose Manuel , GTEx Consortium , Pierce Brandon L , Stephens Matthew , Eskin Eleazar , Dermitzakis Emmanouil T , Segre Ayellet V , Im Hae Kyung , Engelhardt Barbara E , Ardlie Kristin G , Montgomery Stephen B , Battle Alexis J , Lappalainen Tuuli , Guigo Roderic , Stranger Barbara E

Science 2020 Sep; 369(6509): eaba3066https://bit.ly/3wMzM8xBy integrating sex-specific Genotype-Tissue Expression (GTEx) data with gene function and transcription factor binding annotations, these authors describe mechanisms contributing to sex differences in the human transcriptome.Many complex human traits and diseases exhibit sex-specific characteristics. These sex differences have b...

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ey0019.15-4 | Diabetes | ESPEYB19

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

A Wesolowska-Andersen , CA Brorsson , R Bizzotto , A Mari , A Tura , R Koivula , A Mahajan , A Vinuela , JF Tajes , S Sharma , M Haid , C Prehn , A Artati , MG Hong , PB Musholt , A Kurbasic , F De Masi , K Tsirigos , HK Pedersen , V Gudmundsdottir , CE Thomas , K Banasik , C Jennison , A Jones , G Kennedy , J Bell , L Thomas , G Frost , H Thomsen , K Allin , TH Hansen , H Vestergaard , T Hansen , F Rutters , P Elders , L t'Hart , A Bonnefond , M Canouil , S Brage , T Kokkola , A Heggie , D McEvoy , A Hattersley , T McDonald , H Teare , M Ridderstrale , M Walker , I Forgie , GN Giordano , P Froguel , I Pavo , H Ruetten , O Pedersen , E Dermitzakis , PW Franks , JM Schwenk , J Adamski , E Pearson , MI McCarthy , S Brunak , Consortium ID

Cell Rep Med. 2022;3(1):100477. doi: 10.1016/j.xcrm.2021.100477. PubMed ID: 35106505Brief summary: To explore clinical heterogeneity, this study analyzed baseline visit data on 726 adults with newly diagnosed Type 2 diabetes (T2D) adults and identified in 4 distinct profiles (clusters of phenotypes), which predicted differences in subsequent disease progression and anti-diabetic treatments...

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ESPE Yearbook of Paediatric Endocrinology

14.14. The impact of sex on gene expression across human tissues

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

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