Author

Hailiang Huang

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Genetics· 2 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Research Focus:variant calling· 3 Assay:whole-exome sequencing· 3 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Research Focus:variant effect prediction· 2 Approach:benchmark study· 1

Frequent Co-Authors

Benjamin M. Neale· 2 shared Mark J. Daly· 2 shared Aarno Palotie· 1 shared Adam P. Levine· 1 shared Andre Franke· 1 shared Andrea Ganna· 1 shared Ann Pulver· 1 shared Anthony W. Segal· 1 shared

Activity by Year

2016-2016 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersGenetics

Benjamin M. Neale

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Author profile →

4 papers

Recent·Most cited

Insights into the genetic epidemiology of Crohn’s and rare diseases in the Ashkenazi Jewish population

Manuel A. Rivas, Jukka Koskela, Hailiang Huang, Christine Stevens, Brandon E. Avila, Talin Haritunians, Benjamin M. Neale, Mitja Kurki, Andrea Ganna, Daniel Graham, Benjamin Glaser, Inga Peter, Gil Atzmon, Nir Barzilai, Adam P. Levine, , Mark J. Daly

The paper analyzes exome sequencing data from Ashkenazi Jews to identify enriched alleles and their association with genetic risk for Crohn’s disease and rare diseases.

bioRxiv · Sep 25, 2016 · PreprintGenetics

Bootstrat: Population Informed Bootstrapping for Rare Variant Tests

Hailiang Huang, Gina M. Peloso, Daniel Howrigan, Barbara Rakitsch, Carl Johann Simon-Gabriel, Jacqueline I. Goldstein, Mark J. Daly, Karsten Borgwardt, Benjamin M. Neale

Bootstrat corrects population stratification in rare variant tests by using genetic distance to create phenotype probabilities, maintaining statistical power while controlling type I error.

bioRxiv · Aug 11, 2016 · PreprintGenomics

Integrative genetic and epigenetic analysis uncovers regulatory mechanisms of autoimmune disease

Parisa Shooshtari, Hailiang Huang, Chris Cotsapas

This study identifies regulatory regions and genes associated with autoimmune diseases using integrative genetic and epigenetic analysis of public data.

bioRxiv · May 19, 2016Genetics

The Cancer Epitope Trees of 23 Early Cervical Cancers in Chinese Women

Xia Li, Hailiang Huang, Yanfang Guang, Yuhua Gong, Chen-Yi He, Xin Yi, Qi, Zhi-Ying Chen

The paper analyzes whole-exome sequencing data from 23 early cervical cancers to construct cancer neo-epitope trees and identify potential immunotherapeutic targets.

bioRxiv · Mar 16, 2016Cancer Biology