Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Alvaro N. Barbeira"'
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict exp
Externí odkaz:
https://doaj.org/article/851a2e4e25024f928fc9e3810b60b5e9
Autor:
Alvaro N. Barbeira, Rodrigo Bonazzola, Eric R. Gamazon, Yanyu Liang, YoSon Park, Sarah Kim-Hellmuth, Gao Wang, Zhuoxun Jiang, Dan Zhou, Farhad Hormozdiari, Boxiang Liu, Abhiram Rao, Andrew R. Hamel, Milton D. Pividori, François Aguet, GTEx GWAS Working Group, Lisa Bastarache, Daniel M. Jordan, Marie Verbanck, Ron Do, GTEx Consortium, Matthew Stephens, Kristin Ardlie, Mark McCarthy, Stephen B. Montgomery, Ayellet V. Segrè, Christopher D. Brown, Tuuli Lappalainen, Xiaoquan Wen, Hae Kyung Im
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-24 (2021)
Abstract The resources generated by the GTEx consortium offer unprecedented opportunities to advance our understanding of the biology of human diseases. Here, we present an in-depth examination of the phenotypic consequences of transcriptome regulati
Externí odkaz:
https://doaj.org/article/84ae6dd57bee4833929e3d4586a1d87a
Autor:
Nicole R. Gay, Michael Gloudemans, Margaret L. Antonio, Nathan S. Abell, Brunilda Balliu, YoSon Park, Alicia R. Martin, Shaila Musharoff, Abhiram S. Rao, François Aguet, Alvaro N. Barbeira, Rodrigo Bonazzola, Farhad Hormozdiari, GTEx Consortium, Kristin G. Ardlie, Christopher D. Brown, Hae Kyung Im, Tuuli Lappalainen, Xiaoquan Wen, Stephen B. Montgomery
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-20 (2020)
Abstract Background Population structure among study subjects may confound genetic association studies, and lack of proper correction can lead to spurious findings. The Genotype-Tissue Expression (GTEx) project largely contains individuals of Europea
Externí odkaz:
https://doaj.org/article/a928ae41cf5c414a91f85bbcd4b040a8
Autor:
Yuan He, Surya B. Chhetri, Marios Arvanitis, Kaushik Srinivasan, François Aguet, Kristin G. Ardlie, Alvaro N. Barbeira, Rodrigo Bonazzola, Hae Kyung Im, GTEx Consortium, Christopher D. Brown, Alexis Battle
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-25 (2020)
Abstract Genetic regulation of gene expression, revealed by expression quantitative trait loci (eQTLs), exhibits complex patterns of tissue-specific effects. Characterization of these patterns may allow us to better understand mechanisms of gene regu
Externí odkaz:
https://doaj.org/article/4732b96b2dc2477bb07ba28215a5d6f7
Autor:
Siddhartha P. Kar, Daniel P.C. Considine, Jonathan P. Tyrer, Jasmine T. Plummer, Stephanie Chen, Felipe S. Dezem, Alvaro N. Barbeira, Padma S. Rajagopal, Will T. Rosenow, Fernando Moreno, Clara Bodelon, Jenny Chang-Claude, Georgia Chenevix-Trench, Anna deFazio, Thilo Dörk, Arif B. Ekici, Ailith Ewing, George Fountzilas, Ellen L. Goode, Mikael Hartman, Florian Heitz, Peter Hillemanns, Estrid Høgdall, Claus K. Høgdall, Tomasz Huzarski, Allan Jensen, Beth Y. Karlan, Elza Khusnutdinova, Lambertus A. Kiemeney, Susanne K. Kjaer, Rüdiger Klapdor, Martin Köbel, Jingmei Li, Clemens Liebrich, Taymaa May, Håkan Olsson, Jennifer B. Permuth, Paolo Peterlongo, Paolo Radice, Susan J. Ramus, Marjorie J. Riggan, Harvey A. Risch, Emmanouil Saloustros, Jacques Simard, Lukasz M. Szafron, Linda Titus, Cheryl L. Thompson, Robert A. Vierkant, Stacey J. Winham, Wei Zheng, Jennifer A. Doherty, Andrew Berchuck, Kate Lawrenson, Hae Kyung Im, Ani W. Manichaikul, Paul D.P. Pharoah, Simon A. Gayther, Joellen M. Schildkraut
Publikováno v:
HGG Advances, Vol 2, Iss 3, Pp 100042- (2021)
Summary: Familial, sequencing, and genome-wide association studies (GWASs) and genetic correlation analyses have progressively unraveled the shared or pleiotropic germline genetics of breast and ovarian cancer. In this study, we aimed to leverage thi
Externí odkaz:
https://doaj.org/article/e7f93459716f483a8f2ed03fab6135b6
Autor:
Paul Geeleher, Aritro Nath, Fan Wang, Zhenyu Zhang, Alvaro N. Barbeira, Jessica Fessler, Robert L. Grossman, Cathal Seoighe, R. Stephanie Huang
Publikováno v:
Genome Biology, Vol 19, Iss 1, Pp 1-14 (2018)
Abstract Expression quantitative trait loci (eQTLs) identified using tumor gene expression data could affect gene expression in cancer cells, tumor-associated normal cells, or both. Here, we have demonstrated a method to identify eQTLs affecting expr
Externí odkaz:
https://doaj.org/article/e4f470171d0742da96bd7091e0814b55
Autor:
Alvaro N. Barbeira, Scott P. Dickinson, Rodrigo Bonazzola, Jiamao Zheng, Heather E. Wheeler, Jason M. Torres, Eric S. Torstenson, Kaanan P. Shah, Tzintzuni Garcia, Todd L. Edwards, Eli A. Stahl, Laura M. Huckins, GTEx Consortium, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-20 (2018)
Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variat
Externí odkaz:
https://doaj.org/article/74f1758878ad410698934b8de48e83e1
Autor:
Guimin Gao, Peter N. Fiorica, Julian McClellan, Alvaro N. Barbeira, James L. Li, Olufunmilayo I. Olopade, Hae Kyung Im, Dezheng Huo
Publikováno v:
The American Journal of Human Genetics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ecd1a872dfbe1f00409a74319a67e2
https://doi.org/10.1016/j.ajhg.2023.04.005
https://doi.org/10.1016/j.ajhg.2023.04.005
Autor:
Guimin Gao, Peter N. Fiorica, Julian McClellan, Alvaro N. Barbeira, James L. Li, Olufunmilayo I. Olopade, Hae Kyung Im, Dezheng Huo
To identify novel candidate genes, we performed a GWAS analysis in a breast cancer dataset from UK Biobank (UKB) and combined the results with the GWAS results of the Breast Cancer Association Consortium (BCAC) by a meta-analysis. Using the summary s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab1a7f55e436351f13e5a33689f16d5
Autor:
Alvaro N. Barbeira, Xiaoquan Wen, Corbin Quick, Ketian Yu, Francesca Luca, Yuhua Zhang, Hae Kyung Im, Roger Pique-Regi
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-26 (2020)
Genome Biology
Genome Biology
We propose a new computational framework, probabilistic transcriptome-wide association study (PTWAS), to investigate causal relationships between gene expressions and complex traits. PTWAS applies the established principles from instrumental variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06f5d0b65ce3c7612ac9f3bdfe809a1
https://doi.org/10.1186/s13059-020-02026-y
https://doi.org/10.1186/s13059-020-02026-y