Aortic　valve　disease　(AVD)　often　coexists　with　coronary　artery　disease　(CAD),　but　whether　and　how　the　two　diseases　are　correlated　remains　poorly　understood.　In　this　study,　a　zero-three　dimensional　(0-3D)　multi-scale　modeling　method　was　developed　to　integrate　coronary　artery　hemodynamics,　aortic　valve　dynamics,　coronary　flow　autoregulation　mechanism,　and　systemic　hemodynamics　into　a　unique　model　system,　thereby　yielding　a　mathematical　tool　for　quantifying　the　influences　of　aortic　valve　stenosis　(AS)　and　aortic　valve　regurgitation　(AR)　on　hemodynamics　in　large　coronary　arteries.　The　model　was　applied　to　simulate　blood　flows　in　six　patient-specific　left　anterior　descending　coronary　arteries　(LADs)　under　various　aortic　valve　conditions　(i.e.,　control　(free　of　AVD),　AS,　and　AR).　Obtained　results　showed　that　the　space-averaged　oscillatory　shear　index　(SA-OSI)　was　significantly　higher　under　the　AS　condition　but　lower　under　the　AR　condition　in　comparison　with　the　control　condition.　Relatively,　the　overall　magnitude　of　wall　shear　stress　was　less　affected　by　AVD.　Further　data　analysis　revealed　that　AS　induced　the　increase　in　OSI　in　LADs　mainly　through　its　role　in　augmenting　the　low-frequency　components　of　coronary　flow　waveform.　These　findings　imply　that　AS　might　increase　the　risk　or　progression　of　CAD　by　deteriorating　the　hemodynamic　environment　in　coronary　arteries.