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.

47 matches for Saleheen D, showing the first 20.

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
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
Wellcome Trust Case Control Consortium · Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators and 4 more consortia
Nature genetics · 2012 · PMID 22885922 · open access
10 pages
rs7640539 rs17168486 rs13405158 rs11063069 rs11709077 rs2075423
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
Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease
VTE Consortium · STROKE Consortium and 3 more consortia
Circulation · 2013 · PMID 23969696
9 pages
rs7968440 rs1938492 rs1019670 rs4817986 rs6010044 rs10226084
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium · Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium and 3 more consortia
Nature genetics · 2014 · PMID 24509480 · open access
9 pages
rs17791513 rs6813195 rs17106184 rs849135 rs2261181 rs9936385
A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation
Regeneron Genetics Center · Geisinger-Regeneron DiscovEHR Collaboration and 2 more consortia
Nature genetics · 2022 · PMID 35654975
8 pages
rs74816838 rs3810367 rs201082887 rs2763195 rs3935942 rs1626329
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
Genome-wide association analysis of venous thromboembolism identifies new risk loci and genetic overlap with arterial vascular disease
INVENT Consortium · Veterans Affairs’ Million Veteran Program
Nature genetics · 2019 · PMID 31676865 · open access
7 pages
rs9411377 rs6083037 rs10747514 rs7051718 rs16867574 rs57328376
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Genome biology · 2022 · PMID 36575460 · open access
7 pages
rs151113194 rs762517 rs12012576 rs139120857 rs5942972 rs7063103
Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes
Nature communications · 2016 · PMID 26818947 · open access
6 pages
rs1116357 rs1575972 rs9309245 rs67156297 rs7107784 rs78627331
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
rs35658696 rs16826069 rs1127787 rs7572857 rs2233580 rs56200889
Large-scale genome-wide association study of coronary artery disease in genetically diverse populations
Regeneron Genetics Center · CARDIoGRAMplusC4D Consortium and 2 more consortia
Nature medicine · 2022 · PMID 35915156
6 pages
rs1867073 rs7622417 rs2715879 rs7884019 rs56210063 rs78532451
Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization
EPIC-Interact Consortium · Understanding Society Scientific Group
Wellcome open research · 2023 · PMID 39280063 · open access
6 pages
rs17853166 rs75619922 rs7225887 rs56381411 rs3784634 rs5400
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
International Consortium for Blood Pressure Genome-Wide Association Studies · CARDIoGRAM consortium and 4 more consortia
Nature · 2011 · PMID 21909115 · open access
5 pages
rs1173771 rs13139571 rs6015450 rs11191548 rs7129220
Stroke genetics informs drug discovery and risk prediction across ancestries
COMPASS Consortium · INVENT Consortium and 13 more consortia
Nature · 2022 · PMID 36180795 · open access
5 pages
rs12415501 rs60401382 rs72934589 rs76110445 Cardioembolic Stroke
Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies
Australian Stroke Genetics Collaborative, Wellcome Trust Case Control Consortium 2 (WTCCC2) · International Stroke Genetics Consortium
The Lancet. Neurology · 2012 · PMID 23041239 · open access
4 pages
rs2107595 rs879324 rs13407662 Ischaemic Stroke
Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes
DIAGRAM Consortium · GIANT Consortium and 3 more consortia
Diabetes · 2011 · PMID 21873549 · open access
3 pages
rs6235 rs11558471 rs1549318
Genome-wide association study of peripheral artery disease in the Million Veteran Program
VA Million Veteran Program
Nature medicine · 2019 · PMID 31285632 · open access
3 pages
rs138294113 rs4722172 rs7476
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
Coffee and Caffeine Genetics Consortium · International Parkinson’s Disease Genomics Consortium (IPDGC) and 2 more consortia
Molecular psychiatry · 2015 · PMID 25288136
2 pages
rs9902453 rs7800944
Genetic studies of body mass index yield new insights for obesity biology
LifeLines Cohort Study · ADIPOGen Consortium and 12 more consortia
Nature · 2015 · PMID 25673413
2 pages
rs16851483 rs2121279

Showing 20 of 47 · page 2 of 3

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.