Jennifer E Huffman

发表

Efficient variant set mixed model association tests for continuous and binary traits in large-scale whole genome sequencing studies

Seunggeun Lee, Tamar Sofer, Xihong Lin, 2018, bioRxiv.

Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Inês Barroso, Jiyoung Heo, Beverley Balkau, 2015, Nature communications.

Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants

Archie Campbell, David M Howard, Caroline Hayward, 2017, Genome Medicine.

Genome-wide association study identifies five loci associated with lung function

Inês Barroso, Philippe Froguel, Eva Schnabel, 2010, Nature Genetics.

Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults

Claude Bouchard, Christian Gieger, Tuija Tammelin, 2017 .

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Christian Gieger, Gonçalo Abecasis, He Gao, 2018, Nature Genetics.

Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology

Andrew Carroll, Eric Boerwinkle, Andrew D. Johnson, 2017, Nature Genetics.

Genetic analysis of over one million people identifies 535 novel loci for blood pressure

Christian Gieger, Gonçalo Abecasis, He Gao, 2017, bioRxiv.

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

He Zhang, Andres Metspalu, Fotios Drenos, 2016, Nature Genetics.

Genome-wide association and large scale follow-up identifies 16 new loci influencing lung function

Christian Gieger, Inês Barroso, Florian Kronenberg, 2011, Nature Genetics.

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

Claude Bouchard, Christian Gieger, Joel Eriksson, 2016, Nature communications.

Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.

Uwe Völker, Tim Kacprowski, Ming-Huei Chen, 2015, Blood.