Evidence map›Paper›PMID 38421422›Full record

ArticleArchives of gynecology and obstetrics2024

Genome-wide association study (GWAS) identified PCOS susceptibility variants and replicates reported risk variants.

Priya Sharma, Sabyasachi Senapati, Lajya Devi Goyal, Balpreet Kaur, Pooja Kamra, Preeti Khetarpal

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In one paragraph

Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Priya SharmaLaboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, 151401, India.ORCID http://orcid.org/0000-0002-3018-1637
Sabyasachi SenapatiLaboratory of Immunogenomics, Department of Human Genetics and Molecular Medicine, School of Health Science, Central University of Punjab, Bathinda, 151401, India.ORCID http://orcid.org/0000-0002-9448-7432
Lajya Devi GoyalDepartment of Obstetrics and Gynaecology, AIIMS, Bathinda, 151001, India.ORCID http://orcid.org/0000-0002-7648-7535
Balpreet KaurDepartment of Obstetrics and Gynaecology, AIIMS, Bathinda, 151001, India.ORCID http://orcid.org/0000-0002-7674-2751
Pooja KamraDepartment of Obstetrics and Gynaecology, Kamra Hospital, Malout, 152107, India.
Preeti KhetarpalLaboratory for Reproductive and Developmental Disorders, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, 151401, India. preetikhetarpal@cup.edu.in.ORCID http://orcid.org/0000-0002-0510-3370
Central University of Punjab · IN

Funding

Indian Council of Medical Research 54/08/2019/HUM-BMS
6 · The paper itself

Abstract

backgroundGenetic predisposition and environmental factors are considered risk factors for polycystic ovary syndrome (PCOS). Genome-wide association studies (GWAS) have been reported from various subpopulations to evaluate SNPs associated with PCOS risk. No PCOS-associated GWAS study has been reported from India so far. PURPOSE: The current study was conducted to identify the PCOS-susceptible loci among the North Indian population and to validate the significant loci reported by previous GWAS studies.

methodsA total of 272 participants with 134 PCOS patients and 138 age-matched healthy controls were recruited. Genomic DNA was isolated and genotyped by using Infinium Global Screening Array v3.0 microchip considering HWE 10e

resultsA total of fifteen markers have been identified as candidate PCOS risk factors. Only two SNPs, namely rs17186366 and rs11171739 have been identified through replication analysis while comparing the previously reported PCOS GWAS data. In-silico analysis was performed to study the functional impact of identified significant genes for gene ontology, pathways related to gene set, and cluster analysis to determine protein-protein interaction among genes or gene products.

conclusionThe study suggests that multiple variants play an important role in PCOS pathogenesis and emphasizes the importance of further genetic studies among Indian subpopulations. The study also validates two previously reported SNPs in the Indian population. What this study adds to clinical work Study summarizes the importance of candidate gene markers validated by replication and in-silico functional study, significantly involved in PCOS pathogenesis in the studied population. These markers can be used in the future as diagnostic markers for clinical phenotype identification.

Indexed as

Genome-Wide Association StudyPolycystic Ovary SyndromeFemaleGenetic Predisposition to DiseaseGenotypeHumansPhenotypePolymorphism, Single NucleotideGeneticsGWASPCOSPhenotypeReplication

Identifiers

PMID38421422
OpenAlexW4392285970

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.