Swietlik, Emilia M ;
Greene, Daniel ;
Zhu, Na...
Swietlik , E M , Greene , D , Zhu , N , Megy , K , Cogliano , M , Rajaram , S , Pandya , D , Tilly , T , Lutz , K A , Welch , C C L , Pauciulo , M W , Southgate , L , Martin , J M , Treacy , C M , Penkett , C J , Stephens , J C , Bogaard , H J , Church , C , Coghlan , G , Coleman , A W , Condliffe , R , Eichstaedt , C A , Eyries , M , Gall , H , Ghio , S , Girerd , B , Grünig , E , Holden , S , Howard , L , Humbert , M , Kiely , D G , Kovacs , G , Lordan , J , Machado , R D , Mackenzie Ross , R V , McCabe , C , Moledina , S , Montani , D , Olschewski , H , Pepke-Zaba , J , Price , L , Rhodes , C J , Seeger , W , Soubrier , F , Suntharalingam , J , Toshner , M R , Vonk Noordegraaf , A , Wharton , J , Wild , J M , Wort , S J , Lawrie , A , Wilkins , M R , Trembath , R C , Shen , Y , Chung , W K , Swift , A J , Nichols , W C , Morrell , N W & Gräf , S 2021 , ' Bayesian Inference Associates Rare KDR Variants with Specific Phenotypes in Pulmonary Arterial Hyperten....
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2021
