Evidence map›Paper›PMID 27114910›Full record

ArticleGenomics data2016

Genetics of PCOS: A systematic bioinformatics approach to unveil the proteins responsible for PCOS.

Pritam Kumar Panda, Riya Rane, Rahul Ravichandran, Shrinkhla Singh, Hetalkumar Panchal

Open access · goldAbstract read
In one paragraph

Article in Genomics data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. 17-Hydroxyprogesterone Response to Standard Dose Synacthen Stimulation Test inJournal of clinical research in pediatric endocrinology · 2022
    Pooled it
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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

5 authors at 2 institutions in 1 country.

Pritam Kumar PandaSchool of Biotechnology and Bioinformatics, D. Y. Patil University, CBD Belapur, Navi Mumbai, Maharashtra, India.
Riya RaneSchool of Biotechnology and Bioinformatics, D. Y. Patil University, CBD Belapur, Navi Mumbai, Maharashtra, India.
Rahul RavichandranSchool of Biotechnology and Bioinformatics, D. Y. Patil University, CBD Belapur, Navi Mumbai, Maharashtra, India.
Shrinkhla SinghSchool of Biotechnology and Bioinformatics, D. Y. Patil University, CBD Belapur, Navi Mumbai, Maharashtra, India.
Hetalkumar PanchalGujarat Agricultural Biotechnology Institute, Navsari Agricultural University, Athwa Farm, Ghod Dod Road, Surat, 395007, Gujarat, India.
D.Y. Patil University · INNavsari Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a hormonal imbalance in women, which causes problems during menstrual cycle and in pregnancy that sometimes results in fatality. Though the genetics of PCOS is not fully understood, early diagnosis and treatment can prevent long-term effects. In this study, we have studied the proteins involved in PCOS and the structural aspects of the proteins that are taken into consideration using computational tools. The proteins involved are modeled using Modeller 9v14 and Ab-initio programs. All the 43 proteins responsible for PCOS were subjected to phylogenetic analysis to identify the relatedness of the proteins. Further, microarray data analysis of PCOS datasets was analyzed that was downloaded from GEO datasets to find the significant protein-coding genes responsible for PCOS, which is an addition to the reported protein-coding genes. Various statistical analyses were done using R programming to get an insight into the structural aspects of PCOS that can be used as drug targets to treat PCOS and other related reproductive diseases.

Indexed as

MeVMicroarrayModellerPCOSPhylogenetic analysisRRaptorXString

Identifiers

PMID27114910
PMCPMC4832036
OpenAlexW2333286680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.