Publications

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Filters: Author is Duggirala, Ravindranath  [Clear All Filters]
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R
He KY, Kelly TN, Wang H, Liang J, Zhu L, Cade BE, Assimes TL, Becker LC, Beitelshees AL, Bielak LF, Bress AP, Brody JA, Chang Y-PChristy, Chang Y-C, de Vries PS, Duggirala R, Fox ER, Franceschini N, Furniss AL, Gao Y, Guo X, Haessler J, Hung Y-J, Hwang S-J, Irvin MRyan, Kalyani RR, Liu C-T, Liu C, Martin LWarsinger, Montasser ME, Muntner PM, Mwasongwe S, Naseri T, Palmas W, Reupena M'aSefuiva, Rice KM, Sheu WH-H, Shimbo D, Smith JA, Snively BM, Yanek LR, Zhao W, Blangero J, Boerwinkle E, Chen Y-DIda, Correa A, L Cupples A, Curran JE, Fornage M, He J, Hou L, Kaplan RC, Kardia SLR, Kenny EE, Kooperberg C, Lloyd-Jones D, Loos RJF, Mathias RA, McGarvey ST, Mitchell BD, North KE, Peyser PA, Psaty BM, Raffield LM, Rao DC, Redline S, Reiner AP, Rich SS, Rotter JI, Taylor KD, Tracy R, Vasan RS, Morrison AC, Levy D, Chakravarti A, Arnett DK, Zhu X. Rare coding variants in RCN3 are associated with blood pressure. BMC Genomics. 2022 ;23(1):148.
Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MSunitha, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang Y-C, Chen Y-DI, Cheng C-Y, Choi WJung, Chowdhury, iv R, Contreras-Cubas C, Córdova EJ, Correa A, L Cupples A, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla MEugenia, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando MElena, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung Y-J, Hwang MYeong, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HMin, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim B-J, Kim RW, Kim YJin, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SHeon, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LWarsinger, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon J-Y, Moreno-Macias H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJoo, Park KSoo, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo J-S, Sim X, Sladek R, Small KS, So WYee, Stilp AM, E Tai S, Tam CHT, Taylor KD, Teo YYing, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusie-Luna T, Udler MS, van Dam RM, Vasan RS, Martinez KAViaud, Wang FFei, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong T-Y, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 ;109(1):81-96.
E
Flannick J, Mercader JM, Fuchsberger C, Udler MS, Mahajan A, Wessel J, Teslovich TM, Caulkins L, Koesterer R, Barajas-Olmos F, Blackwell TW, Boerwinkle E, Brody JA, Centeno-Cruz F, Chen L, Chen S, Contreras-Cubas C, Córdova E, Correa A, Cortes M, DeFronzo RA, Dolan L, Drews KL, Elliott A, Floyd JS, Gabriel S, Garay-Sevilla MEugenia, García-Ortiz H, Gross M, Han S, Heard-Costa NL, Jackson AU, Jørgensen ME, Kang HMin, Kelsey M, Kim B-J, Koistinen HA, Kuusisto J, Leader JB, Linneberg A, Liu C-T, Liu J, Lyssenko V, Manning AK, Marcketta A, Malacara-Hernandez JManuel, Martínez-Hernández A, Matsuo K, Mayer-Davis E, Mendoza-Caamal E, Mohlke KL, Morrison AC, Ndungu A, C Y Ng M, O'Dushlaine C, Payne AJ, Pihoker C, Post WS, Preuss M, Psaty BM, Vasan RS, N Rayner W, Reiner AP, Revilla-Monsalve C, Robertson NR, Santoro N, Schurmann C, So WYee, Soberón X, Stringham HM, Strom TM, Tam CHT, Thameem F, Tomlinson B, Torres JM, Tracy RP, van Dam RM, Vujkovic M, Wang S, Welch RP, Witte DR, Wong T-Y, Atzmon G, Barzilai N, Blangero J, Bonnycastle LL, Bowden DW, Chambers JC, Chan E, Cheng C-Y, Cho YShin, Collins FS, de Vries PS, Duggirala R, Glaser B, Gonzalez C, Gonzalez MElena, Groop L, Kooner JSingh, Kwak SHeon, Laakso M, Lehman DM, Nilsson P, Spector TD, E Tai S, Tuomi T, Tuomilehto J, Wilson JG, Aguilar-Salinas CA, Bottinger E, Burke B, Carey DJ, Chan JCN, Dupuis J, Frossard P, Heckbert SR, Hwang MYeong, Kim YJin, H Kirchner L, Lee J-Y, Lee J, Loos RJF, Ma RCW, Morris AD, O'Donnell CJ, Palmer CNA, Pankow J, Park KSoo, Rasheed A, Saleheen D, Sim X, Small KS, Teo YYing, Haiman C, Hanis CL, Henderson BE, Orozco L, Tusie-Luna T, Dewey FE, Baras A, Gieger C, Meitinger T, Strauch K, Lange L, Grarup N, Hansen T, Pedersen O, Zeitler P, Dabelea D, Abecasis G, Bell GI, Cox NJ, Seielstad M, Sladek R, Meigs JB, Rich SS, Rotter JI, Altshuler D, Burtt NP, Scott LJ, Morris AP, Florez JC, McCarthy MI, Boehnke M. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature. 2019 ;570(7759):71-76.
D
Goodrich JK, Singer-Berk M, Son R, Sveden A, Wood J, England E, Cole JB, Weisburd B, Watts N, Caulkins L, Dornbos P, Koesterer R, Zappala Z, Zhang H, Maloney KA, Dahl A, Aguilar-Salinas CA, Atzmon G, Barajas-Olmos F, Barzilai N, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Centeno-Cruz F, Chambers JC, Chami N, Chan E, Chan J, Cheng C-Y, Cho YShin, Contreras-Cubas C, Córdova E, Correa A, DeFronzo RA, Duggirala R, Dupuis J, Garay-Sevilla MEugenia, García-Ortiz H, Gieger C, Glaser B, González-Villalpando C, Gonzalez MElena, Grarup N, Groop L, Gross M, Haiman C, Han S, Hanis CL, Hansen T, Heard-Costa NL, Henderson BE, Hernandez JManuel Mal, Hwang MYeong, Islas-Andrade S, Jørgensen ME, Kang HMin, Kim B-J, Kim YJin, Koistinen HA, Kooner JSingh, Kuusisto J, Kwak S-H, Laakso M, Lange L, Lee J-Y, Lee J, Lehman DM, Linneberg A, Liu J, Loos RJF, Lyssenko V, Ma RCW, Martínez-Hernández A, Meigs JB, Meitinger T, Mendoza-Caamal E, Mohlke KL, Morris AD, Morrison AC, C Y Ng M, Nilsson PM, O'Donnell CJ, Orozco L, Palmer CNA, Park KSoo, Post WS, Pedersen O, Preuss M, Psaty BM, Reiner AP, Revilla-Monsalve C, Rich SS, Rotter JI, Saleheen D, Schurmann C, Sim X, Sladek R, Small KS, So WYee, Spector TD, Strauch K, Strom TM, E Tai S, Tam CHT, Teo YYing, Thameem F, Tomlinson B, Tracy RP, Tuomi T, Tuomilehto J, Tusie-Luna T, van Dam RM, Vasan RS, Wilson JG, Witte DR, Wong T-Y, Burtt NP, Zaitlen N, McCarthy MI, Boehnke M, Pollin TI, Flannick J, Mercader JM, O'Donnell-Luria A, Baxter S, Florez JC, MacArthur DG, Udler MS. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes. Nat Commun. 2021 ;12(1):3505.