Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

H2DB

General information

URL: http://tga.nig.ac.jp/h2db/
Full name: Heritability Database Annotating with Trait-Associated Genomic Loci
Description: The H2DB is an annotation database of genetic heritability for various organisms from online text and literature resources by manual curation.
Year founded: 2013
Last update: NA
Version: v1.0
Accessibility:
Accessible
Country/Region: Japan

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Institute of Genetics
Address: 1111 Yata,Mishima 411-8540,Japan
City: Mishima
Province/State:
Country/Region: Japan
Contact name (PI/Team): Yasukazu Nakamura
Contact email (PI/Helpdesk): yn@nig.ac.jp

Publications

23193255
H2DB: a heritability database across multiple species by annotating trait-associated genomic loci. [PMID: 23193255]
Kaminuma E, Fujisawa T, Tanizawa Y, Sakamoto N, Kurata N, Shimizu T, Nakamura Y.

H2DB (http://tga.nig.ac.jp/h2db/), an annotation database of genetic heritability estimates for humans and other species, has been developed as a knowledge database to connect trait-associated genomic loci. Heritability estimates have been investigated for individual species, particularly in human twin studies and plant/animal breeding studies. However, there appears to be no comprehensive heritability database for both humans and other species. Here, we introduce an annotation database for genetic heritabilities of various species that was annotated by manually curating online public resources in PUBMED abstracts and journal contents. The proposed heritability database contains attribute information for trait descriptions, experimental conditions, trait-associated genomic loci and broad- and narrow-sense heritability specifications. Annotated trait-associated genomic loci, for which most are single-nucleotide polymorphisms derived from genome-wide association studies, may be valuable resources for experimental scientists. In addition, we assigned phenotype ontologies to the annotated traits for the purposes of discussing heritability distributions based on phenotypic classifications.

Nucleic Acids Res. 2013:41(Database issue) | 1 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6838/6895 (0.841%)
6838
Total Rank
1
Citations
0.083
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2016-04-08]
Chunlei Yu [2016-03-31]
Chunlei Yu [2015-11-19]
Chunlei Yu [2015-06-26]