For researchers

Is your paper here?

2,663 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.

16 matches for Nadkarni GN.

Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies
Nature communications · 2019 · PMID 30604766 · open access
12 pages+
rs10066990 rs10851885 rs11039221 rs111449836 rs12722725 rs13417750
A catalog of genetic loci associated with kidney function from analyses of a million individuals
Lifelines Cohort Study · V. A. Million Veteran Program
Nature genetics · 2019 · PMID 31152163
12 pages+
rs948493 rs9397738 rs13157326 rs4820324 rs11062167 rs12736457
Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels
German Chronic Kidney Disease Study · Lifelines Cohort Study and 1 more consortia
Nature genetics · 2019 · PMID 31578528 · open access
12 pages+
rs34861762 rs4897160 rs2941487 rs148015593 rs12484809 rs62128132
Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
Nature communications · 2020 · PMID 32439900 · open access
12 pages+
rs11921457 rs4246224 rs59212267 rs111551996 rs3747570 rs4834347
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+
rs446001 rs1046495 rs117538213 rs573383551 rs11772036 rs210183
The Polygenic and Monogenic Basis of Blood Traits and Diseases
VA Million Veteran Program
Cell · 2020 · PMID 32888494 · open access
12 pages+
rs4851592 rs9580930 rs2612585 rs2293088 rs41282065 rs588206
The trans-ancestral genomic architecture of glycemic traits
Lifelines Cohort Study · Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
Nature genetics · 2021 · PMID 34059833 · open access
12 pages+
rs7063597 rs3752435 rs4317621 rs4731113 rs4674280 rs138245006
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+
rs3211938 rs151235402 rs73339979 rs114139997 rs10184673 rs117139027
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
FinnGen · eMERGE Consortium
Nature genetics · 2022 · PMID 35551307 · open access
12 pages+
rs7819706 rs1473781 rs6876198 rs3743140 rs3806155 rs7313668
Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease
Nature genetics · 2022 · PMID 35710981
12 pages+
rs9820977 rs2076668 rs12713261 rs2608916 rs1166698 rs72719149
Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors
Global Biobank Meta-Analysis Initiative; Estonian Biobank Research Team; 23andMe Research Team; Biobank Japan; CHARGE Hemostasis Working Group
Circulation · 2022 · PMID 36154123
12 pages+
rs6632109 rs8049403 rs2048528 rs1518760 rs78475244 rs76668186
Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits
DIAMANTE Hispanic/Latino Consortium · Global Hispanic Lipids Consortium
Nature communications · 2025 · PMID 40210677 · open access
12 pages+
rs6974288 rs3846663 rs12939051 rs58458113 rs58223766 rs117525671
Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure
Regeneron Genetics Center
Nature communications · 2022 · PMID 36376295 · open access
3 pages
rs981150 rs17513625 rs10738604
Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis
PLoS medicine · 2020 · PMID 32574161 · open access
2 pages
rs78025940 rs76182733
Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline
Lifelines Cohort Study · Regeneron Genetics Center
Kidney international · 2021 · PMID 33137338
2 pages
rs56012466 rs141809766
Polygenic prediction of preeclampsia and gestational hypertension
Nature medicine · 2023 · PMID 37248299
2 pages
rs7318880 rs260017

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.