Benefits and limitations of genome-wide association studies DOI
Vivian Tam, Nikunj Patel,

Michelle Turcotte

et al.

Nature Reviews Genetics, Journal Year: 2019, Volume and Issue: 20(8), P. 467 - 484

Published: May 8, 2019

Language: Английский

Partitioning heritability by functional annotation using genome-wide association summary statistics DOI
Hilary K. Finucane, Brendan Bulik‐Sullivan, Alexander Gusev

et al.

Nature Genetics, Journal Year: 2015, Volume and Issue: 47(11), P. 1228 - 1235

Published: Sept. 28, 2015

Language: Английский

Citations

2533

A survey of best practices for RNA-seq data analysis DOI Creative Commons
Ana Conesa, Pedro Madrigal,

Sonia Tarazona

et al.

Genome biology, Journal Year: 2016, Volume and Issue: 17(1)

Published: Jan. 26, 2016

RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review the major steps RNA-seq data analysis, including experimental design, quality control, read alignment, quantification gene and transcript levels, visualization, differential expression, alternative splicing, functional fusion detection eQTL mapping. highlight challenges associated with each step. discuss small RNAs integration other genomics techniques. Finally, we outlook for novel technologies that are changing state art transcriptomics.

Language: Английский

Citations

2460

The molecular hallmarks of epigenetic control DOI
C. David Allis, Thomas Jenuwein

Nature Reviews Genetics, Journal Year: 2016, Volume and Issue: 17(8), P. 487 - 500

Published: June 27, 2016

Language: Английский

Citations

2323

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions DOI
David M. Howard, Mark J. Adams, Toni‐Kim Clarke

et al.

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(3), P. 343 - 352

Published: Feb. 4, 2019

Language: Английский

Citations

2205

Predicting effects of noncoding variants with deep learning–based sequence model DOI
Jian Zhou, Olga G. Troyanskaya

Nature Methods, Journal Year: 2015, Volume and Issue: 12(10), P. 931 - 934

Published: Aug. 24, 2015

Language: Английский

Citations

2140

An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues DOI
M. Ryan Corces, Alexandro E. Trevino, Emily G. Hamilton

et al.

Nature Methods, Journal Year: 2017, Volume and Issue: 14(10), P. 959 - 962

Published: Aug. 28, 2017

Language: Английский

Citations

2104

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk DOI
Iris E. Jansen, Jeanne E. Savage, Kyoko Watanabe

et al.

Nature Genetics, Journal Year: 2019, Volume and Issue: 51(3), P. 404 - 413

Published: Jan. 2, 2019

Language: Английский

Citations

2064

Identification of common genetic risk variants for autism spectrum disorder DOI
Jakob Grove, Stephan Ripke, Thomas D. Als

et al.

Nature Genetics, Journal Year: 2019, Volume and Issue: 51(3), P. 431 - 444

Published: Feb. 25, 2019

Language: Английский

Citations

2062

Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder DOI
Ditte Demontis, Raymond K. Walters, Joanna Martin

et al.

Nature Genetics, Journal Year: 2018, Volume and Issue: 51(1), P. 63 - 75

Published: Nov. 23, 2018

Language: Английский

Citations

2034

Immunopathology of multiple sclerosis DOI
Calliope A. Dendrou, Lars Fugger, Manuel A. Friese

et al.

Nature reviews. Immunology, Journal Year: 2015, Volume and Issue: 15(9), P. 545 - 558

Published: Aug. 7, 2015

Language: Английский

Citations

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