Nature Search

A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

Claudia Langenberg, James Meigs and colleagues apply a joint meta-analysis approach that accounts for differences in body mass index to identify variants associated with glycemic traits. They report six new loci associated with fasting insulin levels and provide insights into the genetic basis of insulin resistance.

Alisa K Manning
Marie-France Hivert
Claudia Langenberg
Research13 May 2012
Nature Genetics

Volume: 44, P: 659-669
Single cell analysis of cribriform prostate cancer reveals cell intrinsic and tumor microenvironmental pathways of aggressive disease

The molecular and cellular underpinnings of cribriform prostate cancer aggressiveness remain to be explored. Here, the authors perform single-cell RNA-sequencing, TCR sequencing and histology and reveal cancer cell intrinsic pathways and an immunosuppressive tumour microenvironment.

Hong Yuen Wong
Quanhu Sheng
Paula J. Hurley
ResearchOpen Access13 Oct 2022
Nature Communications

Volume: 13, P: 1-21
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

The MAGIC investigators report results of a large genome-wide association study meta-analysis to identify common variants influencing fasting glucose homeostasis. They further show that several of the newly discovered loci influencing glycemic traits are also associated with risk of type 2 diabetes.

Josée Dupuis
Claudia Langenberg
Inês Barroso
Research17 Jan 2010
Nature Genetics

Volume: 42, P: 105-116
Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis
Claudia Langenberg
Inês Barroso
Amendments and Corrections01 May 2010
Nature Genetics

Volume: 42, P: 464
Impaired muscle strength is associated with ultrastructure damage in myositis

Andrea Aguilar-Vazquez
Efrain Chavarria-Avila
Monica Vazquez-Del Mercado
ResearchOpen Access21 Oct 2022
Scientific Reports

Volume: 12, P: 1-14
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Munib Mesinovic
Xin Ci Wong
David Zucman
ResearchOpen Access16 Jul 2024
Scientific Reports

Volume: 14, P: 1-43
A framework for the use of genomics data at the EPA

The US Environmental Protection Agency is developing a new guidance that outlines best practice in the submission, quality assurance, analysis and management of genomics data for environmental applications.

David J Dix
Kathryn Gallagher
William H Farland
Comments & Opinion01 Sept 2006
Nature Biotechnology

Volume: 24, P: 1108-1111
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

Ali Abbas
Sheryl Ann Abdukahil
Luis Felipe Reyes
ResearchOpen Access30 Jul 2022
Scientific Data

Volume: 9, P: 1-22

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