z-logo
open-access-imgOpen Access
Identification of nine novel loci related to hematological traits in a Japanese population
Author(s) -
Yoshiki Yasukochi,
Jun Sakuma,
Ichiro Takeuchi,
Kimihiko Kato,
Mitsutoshi Oguri,
Tetsuo Fujimaki,
Hideki Horibe,
Yoshiji Yamada
Publication year - 2018
Publication title -
physiological genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.078
H-Index - 112
eISSN - 1531-2267
pISSN - 1094-8341
DOI - 10.1152/physiolgenomics.00088.2017
Subject(s) - single nucleotide polymorphism , biology , mean corpuscular volume , false discovery rate , genome wide association study , genetic association , population , snp , genetics , medicine , genotype , hematocrit , gene , endocrinology , environmental health
Recent genome-wide association studies have identified various genetic variants associated with hematological traits. Although it is possible that quantitative data of hematological traits are varied among the years examined, conventional genome-wide association studies have been conducted in a cross-sectional manner that measures traits at a single point in time. To address this issue, we have traced blood profiles in 4,884 Japanese individuals who underwent annual health check-ups for several years. In the present study, longitudinal exome-wide association studies were conducted to identify genetic variants related to 13 hematological phenotypes. The generalized estimating equation model showed that a total of 67 single nucleotide polymorphisms (SNPs) were significantly [false discovery rate (FDR) of <0.01] associated with hematological phenotypes. Of the 67 SNPs, nine SNPs were identified as novel hematological markers: rs4686683 of SENP2 for red blood cell count (FDR = 0.008, P = 5.5 × 10 -6 ); rs3917688 of SELP for mean corpuscular volume (FDR = 0.005, P = 2.4 × 10 -6 ); rs3133745 of C8orf37-AS1 for white blood cell count (FDR = 0.003, P = 1.3 × 10 -6 ); rs13121954 at 4q31.2 for basophil count (FDR = 0.007, P = 3.1 × 10 -5 ); rs7584099 at 2q22.3 (FDR = 2.6 × 10 -5 , P = 8.8 × 10 -8 ), rs1579219 of HCG17 (FDR = 0.003, P = 2.0 × 10 -5 ), and rs10757049 of DENND4C (FDR = 0.008, P = 5.6 × 10 -5 ) for eosinophil count; rs12338 of CTSB for neutrophil count (FDR = 0.007, P = 2.9 × 10 -5 ); and rs395967 of OSMR-AS1 for monocyte count (FDR = 0.008, P = 3.2 × 10 -5 ).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom