Evidence map›Paper›PMID 35871305›Full record

SynthesisNucleic acids research2023

CMDB: the comprehensive population genome variation database of China.

Zhichao Li, Xiaosen Jiang, Mingyan Fang, Yong Bai, Siyang Liu, Shujia Huang, Xin Jin

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhichao LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing100049, China.ORCID 0000-0002-6725-8212
Xiaosen JiangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing100049, China.
Mingyan FangBGI-Shenzhen, Shenzhen518083, Guangdong, China.ORCID 0000-0001-7185-6445
Yong BaiBGI-Shenzhen, Shenzhen518083, Guangdong, China.
Siyang LiuBGI-Shenzhen, Shenzhen518083, Guangdong, China.
Shujia HuangBGI-Shenzhen, Shenzhen518083, Guangdong, China.ORCID 0000-0003-2100-2534
Xin JinBGI-Shenzhen, Shenzhen518083, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-quality genome variation database derived from a large-scale population is one of the most important infrastructures for genomics, clinical and translational medicine research. Here, we developed the Chinese Millionome Database (CMDB), a database that contains 9.04 million single nucleotide variants (SNV) with allele frequency information derived from low-coverage (0.06×-0.1×) whole-genome sequencing (WGS) data of 141 431 unrelated healthy Chinese individuals. These individuals were recruited from 31 out of the 34 administrative divisions in China, covering Han and 36 other ethnic minorities. CMDB, housing the WGS data of a multi-ethnic Chinese population featuring wide geographical distribution, has become the most representative and comprehensive Chinese population genome database to date. Researchers can quickly search for variant, gene or genomic regions to obtain the variant information, including mutation basic information, allele frequency, genic annotation and overview of frequencies in global populations. Furthermore, the CMDB also provides information on the association of the variants with a range of phenotypes, including height, BMI, maternal age and twin pregnancy. Based on these data, researchers can conduct meta-analysis of related phenotypes. CMDB is freely available at https://db.cngb.org/cmdb/.

Indexed as

Databases, GeneticEast Asian PeopleChinaGene FrequencyGenetics, PopulationGenetic VariationHumansMutation

Identifiers

PMID35871305
PMCPMC9825573

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.