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.

18 matches for Neville M.

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 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
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
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
Genome-wide characterization of circulating metabolic biomarkers
China Kadoorie Biobank Collaborative Group · Estonian Biobank Research Team and 1 more consortia
Nature · 2024 · PMID 38448586 · open access
12 pages+
rs10158897 rs10789119 rs3913007 rs9638180 rs11871721 rs35857242
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC · Procardis Consortium
Nature genetics · 2010 · PMID 20935630 · open access
11 pages
rs713586 rs543874 rs10150332 rs2241423 rs2287019 rs12444979
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
rs10861661 rs201596848 rs900399 rs7157785 rs3927680 rs7946
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
Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals
DIAGRAM+ Consortium · MAGIC Consortium and 8 more consortia
PLoS genetics · 2012 · PMID 22479202 · open access
6 pages
rs182052 rs2980879 rs6488898 rs2590838 rs4805885 Adiponectin Levels
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
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
DIAGRAM Consortium · GIANT Consortium and 3 more consortia
Nature genetics · 2010 · PMID 20081858 · open access
4 pages
rs11920090 rs7944584 rs11605924 Fasting Blood Glucose
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
MAGIC
Nature genetics · 2010 · PMID 20935629
3 pages
rs1055144 rs6784615 rs6861681
A genome-wide association search for type 2 diabetes genes in African Americans
DIAGRAM Consortium · MAGIC Investigators
PloS one · 2012 · PMID 22238593 · open access
1 page
rs7560163

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.