JOSE EDUARDO KRIEGER

(Fonte: Lattes)
Índice h a partir de 2011
36
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Cardio-Pneumologia, Faculdade de Medicina - Docente
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/13 - Laboratório de Genética e Cardiologia Molecular, Hospital das Clínicas, Faculdade de Medicina - Líder

Resultados de Busca

Agora exibindo 1 - 2 de 2
  • article 2 Citação(ões) na Scopus
    Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits
    (2021) SUN, D.; RICHARD, M. A.; MUSANI, S. K.; SUNG, Y. J.; WINKLER, T. W.; SCHWANDER, K.; CHAI, J. F.; GUO, X.; KILPELäINEN, T. O.; VOJINOVIC, D.; ASCHARD, H.; HORTA, B. L.; LIU, C.-T.; BIELAK, L. F.; MOOK-KANAMORI, D. O.; MORRISON, A. C.; PEREIRA, A. C.; PSATY, B. M.; AMIN, N.; FOX, E. R.; KOOPERBERG, C.; WEN, W.; SIM, X.; BIERUT, L.; ROTTER, J. I.; BROWN, M. R.; KARDIA, S. L. R.; FRANCESCHINI, N.; RAO, D. C.; FORNAGE, M.; Lifelines Cohort Study; CHITRALA, K.; YANEK, L. R.; HARTWIG, F. P.; HORIMOTO, A. R. V. R.; LIU, Y.; MANNING, A. K.; NOORDAM, R.; SMITH, A. V.; HARRIS, S. E.; KüHNEL, B.; LYYTIKäINEN, L.-P.; NOLTE, I. M.; ARKING, D. E.; RAURAMAA, R.; MOST, P. J. van der; WANG, R.; WARE, E. B.; WEISS, S.; ARNETT, D. K.; BARAC, A.; BOERWINKLE, E.; BROECKEL, U.; CHAKRAVARTI, A.; CHEN, Y.-D. I.; CUPPLES, L. A.; LUIK, A. I.; DAVIGULUS, M. L.; FUENTES, L. de las; MUTSERT, R. de; VRIES, P. S. de; DELANEY, J. A. C.; ROUX, A. V. Diez; DöRR, M.; FAUL, J. D.; FRETTS, A. M.; GALLO, L. C.; MARTIN, L. W.; GRABE, H. J.; GU, C. C.; HARRIS, T. B.; HARTMAN, C. C. A.; HEIKKINEN, S.; IKRAM, M. A.; ISASI, C.; JOHNSON, W. C.; JONAS, J. B.; KAPLAN, R. C.; MEITINGER, T.; KOMULAINEN, P.; KRIEGER, J. E.; LEVY, D.; LIU, J.; LOHMAN, K.; MILANESCHI, Y.; O'CONNELL, J. R.; PALMAS, W. R.; PETERS, A.; PEYSER, P. A.; PULKKI-RåBACK, L.; RAFFEL, L. J.; ZHAO, W.; REINER, A. P.; RICE, K.; ROBINSON, J. G.; ROSENDAAL, F. R.; SCHMIDT, C. O.; SCHREINER, P. J.; SCHWETTMANN, L.; SHIKANY, J. M.; SHU, X.-O.; SIDNEY, S.; ZHU, X.; SIMS, M.; SMITH, J. A.; SOTOODEHNIA, N.; STRAUCH, K.; TAI, E. S.; TAYLOR, K. D.; UITTERLINDEN, A. G.; DUIJN, C. M. van; WALDENBERGER, M.; WEE, H.-L.; ZONDERMAN, A. B.; WEI, W.-B.; WILSON, G.; XUAN, D.; YAO, J.; ZENG, D.; BECKER, D. M.; DEARY, I. J.; GIEGER, C.; LAKKA, T. A.; LEHTIMäKI, T.; NORTH, K. E.; OLDEHINKEL, A. J.; BARTZ, T. M.; PENNINX, B. W. J. H.; SNIEDER, H.; WANG, Y.-X.; WEIR, D. R.; ZHENG, W.; EVANS, M. K.; GAUDERMAN, W. J.; GUDNASON, V.
    Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP, taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from five ancestry groups. In the combined meta-analyses of stages 1 and 2, we identified 59 loci (p value < 5e−8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A and PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5 and CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations. © 2020 The Author(s)
  • article 10 Citação(ões) na Scopus
    Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium
    (2022) FERNANDEZ-RHODES, Lindsay; GRAFF, Mariaelisa; BUCHANAN, Victoria L.; JUSTICE, Anne E.; HIGHLAND, Heather M.; GUO, Xiuqing; ZHU, Wanying; CHEN, Hung-Hsin; YOUNG, Kristin L.; ADHIKARI, Kaustubh; PALMER, Nicholette D.; LEHMAN, Donna E.; PUPPALA, Sobha; FEJERMAN, Laura; JOHN, Esther M.; AGUILAR-SALINAS, Carlos; BURTT, Noel P.; FLOREZ, Jose C.; GARCIA-ORTIZ, Humberto; GONZALEZ-VILLALPANDO, Clicerio; MERCADER, Josep; BUTTE, Nancy F.; OROZCO, Lorena; TUSIE-LUNA, Teresa; BLANCO, Estela; GAHAGAN, Sheila; COX, Nancy J.; HANIS, Craig; COLE, Shelley A.; COMUZZIE, Anthony G.; VORUGANTI, V. Saroja; ROHDE, Rebecca; WANG, Yujie; SOFER, Tamar; ZIV, Elad; GRANT, Struan F. A.; RUIZ-LINARES, Andres; BELOW, Jennifer E.; I, Jerome Rotter; HAIMAN, Christopher A.; PARRA, Esteban J.; CRUZ, Miguel; LOOS, Ruth J. F.; NORTH, Kari E.; BRADFIELD, Jonathan; PEREIRA, Alexandre C.; GLOVER, LaShaunta; KIM, Daeeun; LILLY, Adam G.; SHRESTHA, Poojan; THOMAS, Alvin G.; ZHANG, Xinruo; CHEN, Minhui; CHIANG, Charleston W. K.; PULIT, Sara; HORIMOTO, Andrea; KRIEGER, Jose E.; GUINDO-MARTINEZ, Marta; PREUSS, Michael; SCHUMANN, Claudia; SMIT, Roelof A. J.; TORRES-MEJIA, Gabriela; ACUNA-ALONZO, Victor; BEDOYA, Gabriel; BORTOLINI, Maria-Catira; CANIZALES-QUINTEROS, Samuel; GALLO, Carla; GONZALEZ-JOSE, Rolando; POLETTI, Giovanni; ROTHHAMMER, Francisco; HAKONARSON, Hakon; IGO, Robert; ADLER, Sharon G.; IYENGAR, Sudha K.; NICHOLAS, Susanne B.; GOGARTEN, Stephanie M.; ISASI, Carmen R.; PAPNICOLAOU, George; STILP, Adrienne M.; QI, Qibin; KHO, Minjung; SMITH, Jennifer A.; LANGEFELD, Carl D.; WAGENKNECHT, Lynne; MCKEAN-COWDIN, Roberta; GAO, Xiaoyi Raymond; NOUSOME, Darryl; V, David Conti; FENG, Ye; ALLISON, Matthew A.; ARZUMANYAN, Zorayr; BUCHANAN, Thomas A.; CHEN, Yii-Der Ida; GENTER, Pauline M.; GOODARZI, Mark O.; HAI, Yang; HSUEH, Willa; IPP, Eli; KANDEEL, Fouad R.; LAM, Kelvin; LI, Xiaohui; NADLER, Jerry L.; RAFFEL, Leslie J.; ROLL, Kathryn; SANDOW, Kevin; TAN, Jingyi; TAYLOR, Kent D.; XIANG, Anny H.; YAO, Jie; AUDIRAC-CHALIFOUR, Astride; ROMERO, Jose de Jesus Peralta; HARTWIG, Fernando; HORTA, Bernando; BLANGERO, John; CURRAN, Joanne E.; DUGGIRALA, Ravindranath
    Hispanic/Latinos have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits despite their notable anthropometric variability, ancestry proportions, and high burden of growth stunting and overweight/obesity. To address this knowledge gap, we analyzed densely imputed genetic data in a sample of Hispanic/Latino adults to identify and fine-map genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). We conducted a GWAS of 18 studies/consortia as part of the Hispanic/Latino Anthropometry (HISLA) Consortium (stage 1, n = 59,771) and generalized our findings in 9 additional studies (stage 2, n = 10,538). We conducted a trans-ancestral GWAS with summary statistics from HISLA stage 1 and existing consortia of European and African ancestries. In our HISLA stage 1 + 2 analyses, we discovered one BMI locus, as well as two BMI signals and another height signal each within established anthropometric loci. In our trans-ancestral meta-analysis, we discovered three BMI loci, one height locus, and one WHRadjBMI locus. We also identified 3 secondary signals for BMI, 28 for height, and 2 for WHRadjBMI in established loci. We show that 336 known BMI, 1,177 known height, and 143 known WHRadjBMI (combined) SNPs demonstrated suggestive transferability (nominal significance and effect estimate directional consistency) in Hispanic/Latino adults. Of these, 36 BMI, 124 height, and 11 WHRadjBMI SNPs were significant after trait-specific Bonferroni correction. Trans-ancestral meta-analysis of the three ancestries showed a small-to-moderate impact of uncorrected population stratification on the resulting effect size estimates. Our findings demonstrate that future studies may also benefit from leveraging diverse ancestries and differences in linkage disequilibrium patterns to discover novel loci and additional signals with less residual population stratification.