For researchers

Is your paper here?

2,657 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.

14 matches for Kee F.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Nature genetics · 2013 · PMID 23563607 · open access
12 pages+
rs10182181 rs1412239 rs1421085 rs538656 rs1514177 rs3101336
Defining the role of common variation in the genomic and biological architecture of adult human height
Electronic Medical Records and Genomics (eMEMERGEGE) Consortium · MIGen Consortium and 2 more consortia
Nature genetics · 2014 · PMID 25282103 · open access
12 pages+
rs6137287 rs9993613 rs3020418 rs3767627 rs7692995 rs17556750
New genetic loci link adipose and insulin biology to body fat distribution
ADIPOGen Consortium · CARDIOGRAMplusC4D Consortium and 11 more consortia
Nature · 2015 · PMID 25673412 · open access
12 pages+
rs11989744 rs4646404 rs319564 rs2179129 rs16996700 rs17109256
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+
rs9891146 rs13447324 rs5758651 rs34149579 rs12236219 rs284860
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution
CHD Exome+ Consortium · Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and 8 more consortia
Nature genetics · 2019 · PMID 30778226 · open access
12 pages+
rs10494217 rs1051860 rs141845046 rs145878042 rs1715919 rs62266958
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+
rs145441283 rs187207161 rs767105335 rs77357563 rs2306899 rs2273171
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+
rs114876144 rs145437104 rs3134988 rs7575245 rs269781 rs4741016
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+
rs11570441 rs11656344 rs11030613 rs11769128 rs11955611 rs11991223
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension
CHARGE-Heart Failure Consortium · EchoGen Consortium and 12 more consortia
Nature genetics · 2016 · PMID 27618447 · open access
11 pages
rs16982520 rs7406910 rs34591516 rs1126930 rs10407022 rs470113
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
rs201596848 rs900399 rs7157785 rs3927680 rs7946 rs3947
Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ consortium
Molecular psychiatry · 2020 · PMID 30617275 · open access
7 pages
rs6692219 rs11971186 rs1937455 rs6738833 rs13026471 rs6883351
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
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
ExomeBP Consortium · MAGIC Consortium and 1 more consortia
Nature genetics · 2018 · PMID 29632382 · open access
6 pages
rs16826069 rs1127787 rs7572857 rs2233580 rs56200889 rs35658696
Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium
PloS one · 2016 · PMID 26950853 · open access
2 pages
rs6941513 Myocardial Infarction

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.