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.

26 matches for Chu AY, showing the first 20.

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+
rs7692995 rs17556750 rs9392918 rs6919534 rs17721822 rs7154721
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
ICBP Consortium · AGEN Consortium and 3 more consortia
Nature communications · 2016 · PMID 26831199 · open access
12 pages+
rs9682041 rs2928148 rs6795744 rs228611 rs3750082 rs10491967
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits
Nature communications · 2017 · PMID 28443625 · open access
12 pages+
rs6012558 rs4239436 rs6772896 rs765751 rs2645294 rs12679556
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults
CHARGE Consortium · EPIC-InterAct Consortium and 1 more consortia
PLoS genetics · 2017 · PMID 28448500 · open access
12 pages+
rs7628338 rs7175517 rs1406948 rs10923724 rs2371767 rs7766106
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
A catalog of genetic loci associated with kidney function from analyses of a million individuals
Lifelines Cohort Study · V. A. Million Veteran Program
Nature genetics · 2019 · PMID 31152163
12 pages+
rs2252281 rs6088528 rs6087579 rs113445505 rs34468415 rs12671694
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
Nature communications · 2019 · PMID 31511532 · open access
12 pages+
rs73065147 rs147215801 rs35692677 rs113139575 rs162890 rs141493439
Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels
German Chronic Kidney Disease Study · Lifelines Cohort Study and 1 more consortia
Nature genetics · 2019 · PMID 31578528 · open access
12 pages+
rs149670286 rs34888828 rs62585312 rs2760215 rs60388273 rs17550549
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+
rs146474788 rs17256082 rs12784552 rs142484519 rs118164457 rs7063597
Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention
Lifelines Cohort Study
Nature genetics · 2022 · PMID 36071172 · open access
12 pages+
rs1160545 rs3759344 rs7067170 rs7615206 rs1691471 rs4483592
Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function
Nature genetics · 2024 · PMID 39256582
12 pages+
rs118081390 rs9361858 rs551996403 rs7296705 rs7651346 rs141687619
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
Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci
CHD Exome+ Consortium · ExomeBP Consortium and 4 more consortia
Nature genetics · 2016 · PMID 27618448
9 pages
rs2493292 rs11639856 rs1925153 rs3755652 rs11014166 rs11024074
X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements
Nature communications · 2024 · PMID 38233393 · open access
8 pages
rs181497961 rs111410539 rs5933443 rs5931180 rs12382607 rs4328011
Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation
Nature genetics · 2017 · PMID 27918534
7 pages
rs2434264 rs7374732 rs6689335 rs912056 rs10060123 rs2123685
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
Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis
BioBank Japan Project
American journal of human genetics · 2017 · PMID 28017375
5 pages
rs10929547 rs6430549 rs2060597 rs592423 rs4535497

Showing 20 of 26 · 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.