Evidence map›Paper›PMID 34815695›Full record

ArticleInternational journal of general medicine2021

Whole Exome Sequencing Study in a Family with Type 2 Diabetes Mellitus.

Xiaowei Zhou, Weichang Guo, Hejia Yin, Jie Chen, Liju Ma, Qiuping Yang, Yan Zhao, Shaoyou Li, Weijun Liu, Huifang Li

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 30 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Xiaowei Zhou *Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Weichang Guo *Department of Physical Education, Kunming Medical University, Kunming, People's Republic of China.
Hejia YinDepartment of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Jie ChenDepartment of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.ORCID 0000-0002-3378-7415
Liju MaDepartment of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Qiuping YangDepartment of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Yan ZhaoDepartment of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Shaoyou LiDepartment of NHC Key Laboratory of Drug Addiction Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.ORCID 0000-0001-9318-5910
Weijun LiuDepartment of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Huifang LiDepartment of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Kunming Medical University · CNKunming University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is characterized by β cell decline in the pancreas and insulin resistance. This study aimed to investigate the possible pathogenic gene mutation sites of T2DM patients using whole exome sequencing. MATERIALS AND

methodsWe recruited a Chinese family with 3-generation history of diabetes. The whole blood genomic DNA of seven members of the family was extracted and sent for whole exome sequencing. Biological information was analyzed with in silico prediction methods, including significance analysis of single nucleotide polymorphism (SNP)/Indel site, and analysis of specific SNP/Indel proteins and their potential mechanisms.

resultsSix out of seven members of the family were diagnosed with diabetes. All DNA samples (23 kb) met quality requirements of library construction. Clean reads of each sample demonstrated high Q20 and Q30 (>80%), indicating good sequencing quality of sequencing data. A total of 130,693 SNPs and 15,928 Indels were found in DNA samples. A total of 22 significant SNPs and Indel mutation sites located on 19 genes were obtained, including

conclusionExons of these diabetic patients demonstrated an

Indexed as

CAMKK2gene mutationPNLIPRP1type 2 diabeteswhole exome sequencing

Identifiers

PMID34815695
PMCPMC8605871
OpenAlexW3214153809

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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.