For researchers

Is your paper here?

2,675 papers hold this site up. Every variant and condition page names the research it was written from, and this is that list, gathered from the pages themselves. Search your name, your journal, or a PMID.

17 matches for Murakami Y.

GWAS of mosaic loss of chromosome Y highlights genetic effects on blood cell differentiation
Nature communications · 2019 · PMID 31624269 · open access
12 pages+
rs2646425 rs527504 rs2811487 rs10948011 rs55727837 rs12668837
Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery Disease
Circulation. Genomic and precision medicine · 2020 · PMID 32469254
12 pages+
rs62010554 rs3008629 rs7214227 rs34914832 rs1058588 rs12469758
Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases
Nature genetics · 2020 · PMID 32514122
12 pages+
rs60984983 rs75024669 rs80202727 rs9921081 rs193457 rs2283159
Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations
VA Million Veteran Program
Cell · 2020 · PMID 32888493
12 pages+
rs72800905 rs7555302 rs80079800 rs9883756 rs112747606 rs11902166
The Polygenic and Monogenic Basis of Blood Traits and Diseases
VA Million Veteran Program
Cell · 2020 · PMID 32888494 · open access
12 pages+
rs2026679 rs549660100 rs6650810 rs113881833 rs587626837 rs7247962
A cross-population atlas of genetic associations for 220 human phenotypes
FinnGen
Nature genetics · 2021 · PMID 34594039
12 pages+
rs1788100 rs338593 rs619399 rs7310941 rs9688977 rs12010615
The power of genetic diversity in genome-wide association studies of lipids
VA Million Veteran Program · Global Lipids Genetics Consortium*
Nature · 2021 · PMID 34887591
12 pages+
rs10248717 rs11672003 rs149590572 rs113920320 rs111589301 rs12992267
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction
BioBank Japan Project
Nature genetics · 2023 · PMID 36653681 · open access
12 pages+
rs10500790 rs2629755 rs6902225 rs13387570 rs223449 rs9639575
East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease
BioBank Japan
Nature genetics · 2023 · PMID 38036781 · open access
10 pages
rs72607744 rs17866912 rs3019776 rs6860328 rs12792379 rs184426772
Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population
Nature genetics · 2019 · PMID 30718926
9 pages
rs79407053 rs2908279 rs9505085 rs2844623 rs201597274 rs76550717
Novel Risk Loci Identified in a Genome-Wide Association Study of Urolithiasis in a Japanese Population
Journal of the American Society of Nephrology : JASN · 2019 · PMID 30975718
7 pages
rs6928986 rs6975977 rs35747824 rs7206790 rs2079742 rs13041834
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Genome biology · 2022 · PMID 36575460 · open access
7 pages
rs12012576 rs139120857 rs5942972 rs7063103 rs62603531 rs151113194
Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population
Nature communications · 2023 · PMID 37236969 · open access
5 pages
rs75031349 rs137884934 rs682888 rs10901793 rs71467682
Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals
Communications biology · 2019 · PMID 30993211 · open access
4 pages
rs11202346 rs1549287 rs16856823 rs4966024
GWAS identifies two novel colorectal cancer loci at 16q24.1 and 20q13.12
Carcinogenesis · 2018 · PMID 29471430
3 pages
rs4939567 rs4572213 rs6691195
Population-specific reference panel improves imputation quality for genome-wide association studies conducted on the Japanese population
Biobank Japan Project
Communications biology · 2024 · PMID 39702642 · open access
2 pages
rs202213319 rs117371763
Genome-wide association study identifies gastric cancer susceptibility loci at 12q24.11-12 and 20q11.21
Cancer science · 2018 · PMID 30281874 · open access
1 page
rs7849280

Questions about this list

Why is my paper here? I never gave you permission.

Nothing of your paper is reproduced here. This page records that a MyGeneLog™ page cites your work, and links to the paper on PubMed — which is what a citation is. Your title and author list come from Europe PMC, the same public record a library catalogue uses.

Why are all the authors listed instead of "et al."?

Because a study that needed 622 people is a different kind of study from one that needed four, and "et al." erases that. Twelve names show and the rest are one click away. Everyone is searchable, including the 187th name on a consortium paper — that person exists and may be looking for it.

My name is misspelt, or the paper is wrong.

Tell us and it is fixed. Names come from the public record and initials are inconsistent across databases; where two people share a form of a name we cannot separate them, and we would rather be corrected than guess.

My paper is not here. Does that mean you rejected it?

No. This catalogue is assembled from what a small team could read, and it is thinnest outside European-ancestry cohorts. A paper is absent because nobody has got to it, not because it was assessed and turned down.

Which pages rest on a paper?

Each row lists them, up to six, and links to each one. The count beside a row is how many pages cite it in total.

How often does this change?

It is rebuilt from the pages every hour. A paper appears the moment a page starts resting on it and disappears if that page stops — there is no separate list to keep in step, because the citation lives on the page that makes the claim.