For researchers

Is your paper here?

2,690 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.

7 matches for Erzurumluoglu AM.

Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets
Understanding Society Scientific Group · Geisinger-Regeneron DiscovEHR Collaboration
Nature genetics · 2017 · PMID 28166213 · open access
12 pages+
rs7872188 rs10870202 rs10515750 rs113745635 rs11658500 rs1458979
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
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+
rs10823136 rs2400509 rs7555285 rs76719272 rs72683923 rs34413141
Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use
CHD Exome+ Consortium · Consortium for Genetics of Smoking Behaviour
Biological psychiatry · 2019 · PMID 30679032
12 pages+
rs2026174 rs11135030 rs11210887 rs12053870 rs1264322 rs12770228
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
Understanding Society Scientific Group
Nature genetics · 2019 · PMID 30804560 · open access
12 pages+
rs1215 rs113111175 rs34093919 rs1978968 rs79898473 rs1800888
Using human genetics to understand the disease impacts of testosterone in men and women
Endometrial Cancer Association Consortium
Nature medicine · 2020 · PMID 32042192 · open access
12 pages+
rs12787293 rs190930099 rs79237700 rs77741622 rs28459049 rs4743776
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

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.