For researchers

Is your paper here?

2,673 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.

35 matches for Palmer CNA, showing the first 20.

Discovery and refinement of loci associated with lipid levels
Global Lipids Genetics Consortium
Nature genetics · 2013 · PMID 24097068 · open access
12 pages+
rs7248104 rs4883201 rs11603023 rs11136341 rs4253772 rs13315871
The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals
CHARGE-EchoGen consortium · CHARGE-HF consortium and 1 more consortia
Nature genetics · 2016 · PMID 27618452 · open access
12 pages+
rs711737 rs12247028 rs6779380 rs4691707 rs12705390 rs2898290
Association analyses based on false discovery rate implicate new loci for coronary artery disease
EPIC-CVD Consortium · CARDIoGRAMplusC4D and 1 more consortia
Nature genetics · 2017 · PMID 28714975
12 pages+
rs142695226 rs10857147 rs7678555 rs6909752 rs7500448 rs1964272
Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney
BIOS Consortium · Understanding Society Scientific Group
Hypertension (Dallas, Tex. : 1979) · 2017 · PMID 28739976
12 pages+
rs35783704 rs73075659 rs73099903 rs36047283 rs871524 rs337100
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
CHD Exome+ Consortium · EPIC-CVD Consortium and 9 more consortia
Nature genetics · 2018 · PMID 29273807 · open access
12 pages+
rs284860 rs1131877 rs2277598 rs295322 rs62623713 rs11555762
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Million Veteran Program
Nature genetics · 2018 · PMID 30224653
12 pages+
rs61653296 rs7187540 rs77692990 rs75902664 rs7976167 rs10873612
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
Nature genetics · 2018 · PMID 30297969
12 pages+
rs4281707 rs80147536 rs67254669 rs234853 rs184509201 rs3772071
Trans-ethnic association study of blood pressure determinants in over 750,000 individuals
Understanding Society Scientific Group · International Consortium for Blood Pressure and 2 more consortia
Nature genetics · 2019 · PMID 30578418 · open access
12 pages+
rs2009598 rs9708177 rs139055942 rs6848906 rs533030436 rs181718607
Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
LifeLines Cohort Study · EPIC-CVD and 3 more consortia
Nature genetics · 2020 · PMID 33230300 · open access
12 pages+
rs10025456 rs8032301 rs1624825 rs145502455 rs273592 rs11937432
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+
rs17256082 rs12784552 rs142484519 rs118164457 rs7063597 rs3752435
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+
rs10928512 rs187479321 rs6493583 rs72729623 rs115726216 rs144242131
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+
rs9899520 rs75307421 rs3780012 rs4267865 rs57634870 rs11196296
A saturated map of common genetic variants associated with human height
23andMe Research Team · VA Million Veteran Program and 5 more consortia
Nature · 2022 · PMID 36224396 · open access
12 pages+
rs1887200 rs11904581 rs6139109 rs1442883 rs973730 rs6020177
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
VA Million Veteran Program
Nature · 2024 · PMID 38374256 · open access
12 pages+
rs1683935 rs71474196 rs72798545 rs1523539 rs7307263 rs11716527
Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
Million Veteran Program · Lifelines Cohort Study and 2 more consortia
Nature genetics · 2024 · PMID 38689001 · open access
12 pages+
rs28734123 rs7151849 rs10040811 rs13270541 rs16852778 rs1878825
Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes
Genes & Health Research Team · Estonian Biobank Research Team and 2 more consortia
Nature genetics · 2025 · PMID 40038546 · open access
12 pages+
rs149780392 rs3794752 rs62233286 rs7095308 rs73048654 rs143445113
Multi-ancestry genome-wide association analyses provide insights into the genetic basis of Hashimoto's thyroiditis
Biobank Japan Project
Nature genetics · 2026 · PMID 42527560 · open access
12 pages+
rs736374 rs723291 rs11073337 rs11154825 rs3892710 rs12345171
Exome-wide association study of plasma lipids in >300,000 individuals
Charge Diabetes Working Group · EPIC-InterAct Consortium and 3 more consortia
Nature genetics · 2017 · PMID 29083408 · open access
11 pages
rs10861661 rs201596848 rs900399 rs7157785 rs3927680 rs7946
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis
EPIC-CVD Consortium · EPIC-InterAct Consortium and 1 more consortia
PLoS medicine · 2017 · PMID 28898252 · open access
10 pages
rs4745982 rs10823343 rs3824065 rs11154792 rs17509001 rs7040409
Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth
Early Growth Genetics (EGG) Consortium
Nature genetics · 2023 · PMID 37798380 · open access
10 pages
rs7722058 rs10925945 rs3822394 rs6557677 rs6040436 rs10486660

Showing 20 of 35 · page 1 of 2

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.