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.

23 matches for Rasheed A, showing the first 20.

A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Nature genetics · 2015 · PMID 26343387 · open access
12 pages+
rs1544935 rs1870634 rs2891168 rs56131196 rs72689147 rs2487928
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+
rs6026748 rs11128722 rs6891344 rs6271 rs2493134 rs12940887
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
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 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis
HPAP Consortium · Regeneron Genetics Center and 1 more consortia
Nature genetics · 2020 · PMID 32541925 · open access
12 pages+
rs2876354 rs79090772 rs9308614 rs12192275 rs12603589 rs1650505
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+
rs11718848 rs11537816 rs16859180 rs1449592 rs13196885 rs576629818
Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci
BMC medicine · 2021 · PMID 34503513 · open access
12 pages+
rs10133655 rs10148645 rs12880477 rs13055900 rs149096129 rs7957274
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+
rs11207980 rs598253 rs57825321 rs12603290 rs186793936 rs9844432
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+
rs9344003 rs12974635 rs10519014 rs11691472 rs2679184 rs2854915
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
Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease
CHD Exome+ Consortium · EPIC-CVD Consortium and 2 more consortia
Nature genetics · 2017 · PMID 28869590 · open access
11 pages
rs2421016 rs9505118 rs4689388 rs2706785 rs329122 rs2050188
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
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
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
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 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
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

Showing 20 of 23 · 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.