Skip to Main Content

Paper Details

Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants.
HGG Adv
1
2022
GWAS loci, SNVs, cardiometabolic disorders, eQTL, expression quantitative trait locus, functional genes, height loci, rare genetic variants, single-nucleotide variants, whole-exome sequence, whole-exome sequences
Author NameAffiliation
Jennifer A BrodyCardiovascular Health Research Unit, University of Washington
Mariaelisa GraffUniversity of North Carolina at Chapel Hill
Najaf AminUniversity Medical Center
Bertha HidalgoUniversity of Alabama at Birmingham
Fernando RivadeneiraUniversity Medical Center
Fernando RivadeneiraUniversity Medical Center
Deepti JainUniversity of Washington
Albert V SmithUniversity of Michigan ann arbor
Albert V SmithUniversity of Michigan ann arbor
Meher Preethi BoorgulaUniversity of Colorado Anschutz Medical Campus
Mariza de AndradeMayo Clinic
Mariza de AndradeMayo Clinic
Jeffrey HaesslerFred Hutchinson Cancer Research Center
Sharon L R KardiaUniversity of Michigan ann arbor
Sharon L R KardiaUniversity of Michigan ann arbor
Charles KooperbergFred Hutchinson Cancer Research Center
Wonji KimBrigham and Women's Hospital
Patricia A PeyserUniversity of Michigan ann arbor
Patricia A PeyserUniversity of Michigan ann arbor
Alexander P ReinerUniversity of Washington
Alexander P ReinerFred Hutchinson Cancer Research Center
Jennifer A SmithUniversity of Michigan ann arbor
Lisa R YanekJohns Hopkins University School of Medicine
Cornelia M van DuijnSt. Cross College
Cornelia M van DuijnSt. Cross College
Kari E NorthUniversity of North Carolina at Chapel Hill
Laura Adrienne CupplesSchool of Public Health, Boston University
Ching-Ti LiuSchool of Public Health, Boston University
  • 1 - 28

Datasets

Release 1.2