Evidence map›Paper›PMID 40936658›Full record

ArticleReproductive medicine and biology

Feasibility of SNP Genotyping Using Dried Blood Spot Samples Collected in an Epidemiological Study and Its Integration With Genetic Risk Analysis for Endometriosis.

Yoshikazu Kitahara, Yuki Ideno, Kensaku Tomiyoshi, Yoko Onizuka, Kazue Nagai, Akira Iwase, Junko Shimada, Hiroshi Ohnishi, Kunihiko Hayashi

Abstract read
In one paragraph

Article in Reproductive medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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

9 authors.

Yoshikazu KitaharaDepartment of Obstetrics and Gynecology Gunma University Graduate School of Medicine Maebashi Japan.ORCID https://orcid.org/0000-0002-3944-8115
Yuki IdenoGunma University Center for Food Science and Wellness Maebashi Japan.
Kensaku TomiyoshiGunma University Graduate School of Health Sciences, Gunma University Maebashi Japan.
Yoko OnizukaGunma University Graduate School of Health Sciences, Gunma University Maebashi Japan.
Kazue NagaiGunma University Center for Food Science and Wellness Maebashi Japan.ORCID https://orcid.org/0000-0002-2562-2127
Akira IwaseDepartment of Obstetrics and Gynecology Gunma University Graduate School of Medicine Maebashi Japan.ORCID https://orcid.org/0000-0002-0031-884X
Junko ShimadaGunma University Graduate School of Health Sciences, Gunma University Maebashi Japan.
Hiroshi OhnishiGunma University Graduate School of Health Sciences, Gunma University Maebashi Japan.
Kunihiko HayashiGunma University Graduate School of Health Sciences, Gunma University Maebashi Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study evaluated the feasibility of single-nucleotide polymorphism (SNP) genotyping using dried blood spot (DBS) samples stored under various conditions, based on the genotyping success rate and concordance with whole blood results. It also examined associations between selected SNPs and endometriosis risk in Japanese women. Methods: DBS samples from 41 cohort participants and 28 hospital patients were used to assess genotyping feasibility. Five endometriosis-associated SNPs-rs10965235, rs12700667, rs12024204, rs16826658, and rs801112-were genotyped in 37 cases and 144 controls. Genotype distributions were evaluated for Hardy-Weinberg equilibrium (HWE) using Pearson's Results: SNP genotyping for rs12700667 showed 100% success and complete concordance between DBS and whole blood samples under all storage conditions. Four of five SNPs met HWE, while rs10965235 significantly deviated from it ( Conclusions: DBS is a robust DNA source for SNP genotyping under various conditions and suitable for mail-based epidemiological studies. Population-specific validation is essential when applying GWAS findings.

Indexed as

dried blood spotendometriosisgenetic associationHardy–Weinberg equilibriumSNP genotyping

Identifiers

PMID40936658
PMCPMC12421651

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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.