Joint identification of genetic variants for physical activity in Korean population. - Test2 - elhamkhani - TriplyDB

Joint identification of genetic variants for physical activity in Korean population.

Joint identification of genetic variants for physical activity in Korean population.

http://www.wikidata.org/entity/Q34072414

about

Limited potential of genetic predisposition scores to predict muscle mass and strength performance in Flemish Caucasians between 19 and 73 years of age.Interaction between physical activity, PITX1 rs647161 genetic polymorphism and colorectal cancer risk in a Korean population: a case-control study.

P2860

Q39048511-AAC08A5B-CF05-4C49-9012-0ABB3070BF75 Q50328827-DBB46603-4D1F-4AC0-BFF6-4E1197B62FAB

P2860

Joint identification of genetic variants for physical activity in Korean population.

http://www.wikidata.org/entity/Q34072414

description

2014 nî lūn-bûn

@nan

2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Joint identification of genetic variants for physical activity in Korean population.

@ast

Joint identification of genetic variants for physical activity in Korean population.

@en

Joint identification of genetic variants for physical activity in Korean population.

@nl

type

label

Joint identification of genetic variants for physical activity in Korean population.

@ast

Joint identification of genetic variants for physical activity in Korean population.

@en

Joint identification of genetic variants for physical activity in Korean population.

@nl

prefLabel

Joint identification of genetic variants for physical activity in Korean population.

@ast

Joint identification of genetic variants for physical activity in Korean population.

@en

Joint identification of genetic variants for physical activity in Korean population.

@nl

P1433

Q34072414-4783D34F-0D88-4E61-B67E-A0D86C970B28

P1476

Q34072414-48828CF6-30CD-42CC-938F-9CA657C44BC5

P2093

Q34072414-2A80AC86-CC63-466B-8C00-697BCCD55F3A

Q34072414-2E1E1069-1F39-4B70-82F1-941CAE2FB71E

Q34072414-4D019813-943A-4047-BBA5-2298AE8FFB96

Q34072414-75DC7EFA-211D-40DC-A855-B853314EECF2

Q34072414-91663391-1369-44B4-B6D4-7C57642507DC

Q34072414-B8EF8ACA-8FC3-4C0B-A654-F735B3D85E54

Q34072414-C77B0879-D08C-46F0-ABD0-0D5DF07944DA

P2860

Q34072414-01D2EA14-B2B9-4749-BE96-53B3C6FE9A26

Q34072414-03696B96-F8A9-48B2-8915-48D1EA0DDD48

Q34072414-0E093D6B-51F8-4F3A-BBD4-CCCD7D4571C0

Q34072414-0FE93F70-66A2-4100-92FC-5FDF8FA191B3

Q34072414-12CEC0D4-936A-4D66-8CCE-6CF450ADF3EA

Q34072414-17F467E2-C0A3-4181-B74D-B3DA9A844DF7

Q34072414-2D96874E-6528-4B0D-8479-DAA2AFE603A1

Q34072414-386B0EF2-2109-4F47-9F0C-A3DD21EF2E36

Q34072414-4063E116-F5C9-42AC-BD45-345E5F656A27

Q34072414-46EB6866-FD95-4C26-9E1D-E64FE49D7DE1

P304

Q34072414-B30B4F19-3B2E-4636-9AA5-681C3A5312D0

P31

Q34072414-0DA10306-1B04-4A0B-85B7-FFBD5AA94370

P356

Q34072414-AC85D48C-0A1C-4047-91AB-288DB812A6FD

P407

Q34072414-4754E93F-BF9F-46F4-A011-83AFCE93C686

P433

Q34072414-B09DCC3F-A47D-4294-A7E9-D86FFEAE4565

P478

Q34072414-84D68345-990D-44C6-B099-58F1ADB8FC35

P577

Q34072414-F657C12C-8F96-43D0-8A5A-278BE1F4F200

P5875

Q34072414-EB3FC6DF-32DA-470D-A7EE-22524378C5D7

P698

Q34072414-6D6D6C3A-D887-4D26-BF84-B4458907EBA6

P932

Q34072414-16EFEC53-5E27-472C-910F-492B35F29BF4

P356

P1433

International Journal of Molecular Sciences

P1476

Joint identification of genetic variants for physical activity in Korean population.

@en

P2093

Andy H Lee

http://www.w3.org/2001/XMLSchema#string

Haesook Min

http://www.w3.org/2001/XMLSchema#string

Jaehee Kim

http://www.w3.org/2001/XMLSchema#string

Jayoun Kim

http://www.w3.org/2001/XMLSchema#string

Sohee Oh

http://www.w3.org/2001/XMLSchema#string

Taesung Park

http://www.w3.org/2001/XMLSchema#string

Yeonjung Kim

http://www.w3.org/2001/XMLSchema#string

P2860

Finding the missing heritability of complex diseases

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase

Identifying biological themes within lists of genes with EASE

Compendium of physical activities: an update of activity codes and MET intensities

Genomic organization and expression profile of the small GTPases of the RhoBTB family in human and mouse

A critical role for protein tyrosine phosphatase nonreceptor type 5 in determining individual susceptibility to develop stress-related cognitive and morphological changes

HES1 is a novel interactor of the Fanconi anemia core complex

A genome-wide meta-analysis identifies novel loci associated with schizophrenia and bipolar disorder

Compendium of Physical Activities: an update of activity codes and MET intensities

Genetic influences on exercise participation in 37,051 twin pairs from seven countries

P304

12407-12421

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3390/IJMS150712407

http://www.w3.org/2001/XMLSchema#string

P407

P433

7

http://www.w3.org/2001/XMLSchema#string

P478

15

http://www.w3.org/2001/XMLSchema#string

P577

2014-07-14T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

263934870

http://www.w3.org/2001/XMLSchema#string

P698

25026172

http://www.w3.org/2001/XMLSchema#string

P932

4139850

http://www.w3.org/2001/XMLSchema#string