Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
3
November
2017
Publication date Collection: 2017
Volume: 12
Issue: 11
Electronic Location Identifier: e0187644
Affiliations
[001]Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central
South University, Changsha, Hunan, China
Universita degli Studi di Roma La Sapienza, ITALY
Author notes
Competing Interests: The authors have declared that no competing interests exist.
Author information
Article
Publisher ID:
PONE-D-17-31678
DOI: 10.1371/journal.pone.0187644
PMC ID: 5669465
PubMed ID: 29099854
SO-VID: 649f184b-035d-48d5-8e86-1277d162149f
Copyright © © 2017 Lei, Huang
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
This work was supported by the National Natural Science Foundation of China [S.H.
received the funding and grant number was 81171880]; the National Basic Research Program
of China [S.H. received the funding and grant number was 2011CB51001]; and the research
grant for postgraduate students provided by the Central South University of China
[X.L. received the funding and grant number was 2017zzts375]. The funders had no role
in study design, data collection and analysis, decision to publish, or preparation
of the manuscript.
Subject:
Research Article
Subject:
Medicine and Health Sciences
Subject:
Endocrinology
Subject:
Endocrine Disorders
Subject:
Diabetes Mellitus
Subject:
Type 2 Diabetes
Subject:
Medicine and Health Sciences
Subject:
Metabolic Disorders
Subject:
Diabetes Mellitus
Subject:
Type 2 Diabetes
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics (Mathematics)
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Biology and Life Sciences
Subject:
Biochemistry
Subject:
Lipids
Subject:
Cholesterol
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Multivariate Analysis
Subject:
Principal Component Analysis
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics (Mathematics)
Subject:
Statistical Methods
Subject:
Multivariate Analysis
Subject:
Principal Component Analysis
Subject:
Biology and Life Sciences
Subject:
Computational Biology
Subject:
Genome Analysis
Subject:
Genome-Wide Association Studies
Subject:
Biology and Life Sciences
Subject:
Genetics
Subject:
Genomics
Subject:
Genome Analysis
Subject:
Genome-Wide Association Studies
Subject:
Biology and Life Sciences
Subject:
Genetics
Subject:
Human Genetics
Subject:
Genome-Wide Association Studies
Subject:
Biology and Life Sciences
Subject:
Behavior
Subject:
Habits
Subject:
Smoking Habits
Subject:
Biology and Life Sciences
Subject:
Physiology
Subject:
Physiological Parameters
Subject:
Body Weight
Subject:
Body Mass Index
Subject:
Medicine and Health Sciences
Subject:
Physiology
Subject:
Physiological Parameters
Subject:
Body Weight
Subject:
Body Mass Index
Subject:
Biology and Life Sciences
Subject:
Genetics
Subject:
Heredity
Subject:
Complex Traits
