Evidence map›Paper›PMID 33109206›Full record

ArticleBMC medical genomics2020

Identification of potential causal variants for premature ovarian failure by whole exome sequencing.

Haengun Jin, JuWon Ahn, YoungJoon Park, JeongMin Sim, Han Sung Park, Chang Soo Ryu, Nam Keun Kim, KyuBum Kwack

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Mechanisms of ovarian aging in women: a review.Journal of ovarian research · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Adult-onset vanishing white matter in a patient with EIF2B3 variants misdiagnosed as multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  13. Article
  14. Beneficial Effects of Traditional Chinese Medicine in the Treatment of Premature Ovarian Failure.Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
  15. 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

8 authors at 1 institution in 1 country.

Haengun JinDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
JuWon AhnDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
YoungJoon ParkDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
JeongMin SimDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
Han Sung ParkDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
Chang Soo RyuDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
Nam Keun KimDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea.
KyuBum KwackDepartment of Biomedical Science, CHA University, Gyeonggi-do, 13488, Republic of Korea. kbkwack@cha.ac.kr.ORCID 0000-0002-7784-512X
CHA University · KR

Funding

Korea National Institute of Health H18C1999Ministry of Environment 201600136008
6 · The paper itself

Abstract

backgroundPremature ovarian failure (POF) is a highly heterogeneous disorder that occurs in 1% of women of reproductive age. Very few causative genes and variants contributing to POF have been detected, and the disease remains incompletely understood. In this study, we used whole exome sequencing (WES) to identify potential causal variants leading to POF.

methodsWES was conducted to identify variants in 34 Korean patients with POF, alongside 10 normal controls. Detected variants were filtered using a range of characterized bioinformatics analyses, and the machine learning tools, CADD and VEST, were used to predict pathogenic variants that could cause disease. VarSome was used for a comprehensive interpretation of the variants. Potential causal variants finally screened by these analyses were confirmed using Sanger sequencing.

resultsWe identified nine potential causative variants in genes previously associated with POF in 8 of 34 (24%) Korean patients by WES variant analysis. These potentially pathogenic variants included mutations in the MCM8, MCM9, and HFM1 genes, which are involved in homologous recombination, DNA repair, and meiosis, and are established as causing POF. Using a combination of CADD and VEST, 72 coding variants were also identified in 72 genes, including ADAMTSL1 and FER1L6, which have plausible functional links to POF.

conclusionsWES is a useful tool to detect genetic variants that cause POF. Accumulation and systematic management of data from a number of WES studies in specialized groups of patients with POF (family data, severe case populations) are needed to better comprehend the genetic landscape underlying POF.

Indexed as

Gene Expression RegulationGene Regulatory NetworksGenetic MarkersMutationAdultCase-Control StudiesComputational BiologyExome SequencingFemaleHumansPrimary Ovarian InsufficiencyRepublic of KoreaGenetic MarkersGene variantsHFM1MCM8MCM9Premature ovarian failureWhole exome sequencing

Identifiers

PMID33109206
PMCPMC7590468
OpenAlexW3095170587

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.