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Dataset Information

Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study.


ABSTRACT:

Background

Pancreatic cancer is the fourth-leading cause of cancer death in both men and women in the United States. The currently identified common susceptibility loci account for a small fraction of estimated heritability. We sought to estimate overall heritability of pancreatic cancer and partition the heritability by variant frequencies and functional annotations.

Methods

Analysis using the genome-based restricted maximum likelihood method (GREML) was conducted on Pancreatic Cancer Case-Control Consortium (PanC4) genome-wide association study (GWAS) data from 3,568 pancreatic cancer cases and 3,363 controls of European Ancestry.

Results

Applying linkage disequilibrium- and minor allele frequency-stratified GREML (GREML-LDMS) method to imputed GWAS data, we estimat

SUBMITTER: Chen F 

PROVIDER: S-EPMC6606380 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature