For researchers

Is your paper here?

2,657 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.

25 matches for Howson JM, showing the first 20.

Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk
International Consortium of Blood Pressure (ICBP) 1000G Analyses · BIOS Consortium and 9 more consortia
Nature genetics · 2017 · PMID 28135244 · open access
12 pages+
rs4952611 rs13205180 rs62104477 rs745821 rs12408022 rs953492
Association analyses based on false discovery rate implicate new loci for coronary artery disease
EPIC-CVD Consortium · CARDIoGRAMplusC4D and 1 more consortia
Nature genetics · 2017 · PMID 28714975
12 pages+
rs142695226 rs10857147 rs7678555 rs6909752 rs7500448 rs1964272
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+
rs5758651 rs34149579 rs12236219 rs284860 rs1131877 rs2277598
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+
rs2400509 rs7555285 rs76719272 rs72683923 rs34413141 rs1585453
Trans-ethnic association study of blood pressure determinants in over 750,000 individuals
Understanding Society Scientific Group · International Consortium for Blood Pressure and 2 more consortia
Nature genetics · 2019 · PMID 30578418 · open access
12 pages+
rs79944483 rs559128832 rs11168516 rs10149871 rs2001337 rs11774829
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+
rs11135030 rs11210887 rs12053870 rs1264322 rs12770228 rs12783782
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
Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations
VA Million Veteran Program
Cell · 2020 · PMID 32888493
12 pages+
rs5762879 rs62100531 rs62250976 rs62308111 rs6546232 rs7081113
The Polygenic and Monogenic Basis of Blood Traits and Diseases
VA Million Veteran Program
Cell · 2020 · PMID 32888494 · open access
12 pages+
rs576668364 rs59521405 rs6058638 rs6072078 rs6912255 rs6922558
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+
rs767105335 rs77357563 rs2306899 rs2273171 rs4846567 rs117874826
Rare and common genetic determinants of metabolic individuality and their effects on human health
Nature medicine · 2022 · PMID 36357675 · open access
12 pages+
rs117327331 rs112281307 rs13258200 rs2640465 rs662962 rs6710692
Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
Million Veteran Program · Lifelines Cohort Study and 2 more consortia
Nature genetics · 2024 · PMID 38689001 · open access
12 pages+
rs1030056 rs115537302 rs11606658 rs4332919 rs57503539 rs35792872
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
rs9505118 rs4689388 rs2706785 rs329122 rs2050188 rs12681990
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
rs900399 rs7157785 rs3927680 rs7946 rs3947 rs622082
Deciphering tissue-specific protein regulation for insights into cardiometabolic disease
Molecular metabolism · 2026 · PMID 41456820 · open access
10 pages
rs12125515 rs12576505 rs760112 rs1134455 rs10405357 rs12778662
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
Assessing the causal association of glycine with risk of cardio-metabolic diseases
Nature communications · 2019 · PMID 30837465 · open access
7 pages
rs9923732 rs9862438 rs12297321 rs11647428 rs2276724 rs62051533
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
rs16826069 rs1127787 rs7572857 rs2233580 rs56200889 rs35658696
Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants
Nature communications · 2020 · PMID 32358547 · open access
6 pages
rs17616633 rs4630220 rs72934505 rs8071429 rs7566761 rs1233587

Showing 20 of 25 · 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.