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Soumya Raychaudhuri

Researcher at Brigham and Women's Hospital

Publications -  372
Citations -  69455

Soumya Raychaudhuri is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 96, co-authored 317 publications receiving 58583 citations. Previous affiliations of Soumya Raychaudhuri include Partners HealthCare & Broad Institute.

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Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Luke Jostins, +105 more
- 01 Nov 2012 - 
TL;DR: A meta-analysis of Crohn’s disease and ulcerative colitis genome-wide association scans is undertaken, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls.
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The landscape of somatic copy-number alteration across human cancers

Rameen Beroukhim, +86 more
- 18 Feb 2010 - 
TL;DR: It is demonstrated that cancer cells containing amplifications surrounding the MCL1 and BCL2L1 anti-apoptotic genes depend on the expression of these genes for survival, and a large majority of SCNAs identified in individual cancer types are present in several cancer types.
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Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 
TL;DR: Genetic loci associated with body mass index map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor, which may provide new insights into human body weight regulation.
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Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci

Andre Franke, +97 more
- 01 Dec 2010 - 
TL;DR: A meta-analysis of six Crohn's disease genome-wide association studies and a series of in silico analyses highlighted particular genes within these loci implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP.
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Fast, sensitive and accurate integration of single-cell data with Harmony.

TL;DR: Harmony, for the integration of single-cell transcriptomic data, identifies broad and fine-grained populations, scales to large datasets, and can integrate sequencing- and imaging-based data.