Evidence map›Paper›PMID 28092683›Full record

SynthesisNature genetics2017

Case-control association mapping by proxy using family history of disease.

Jimmy Z Liu, Yaniv Erlich, Joseph K Pickrell

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

168 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Identification of 16 novel Alzheimer's disease loci using multi-ancestry meta-analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. APOE*4 risk-modifying genes and drug targets in Alzheimer's disease through cell-type-specific genomic analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  20. Article

108 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jimmy Z LiuNew York Genome Center, New York, New York, USA.ORCID http://orcid.org/0000-0002-8379-5480
Yaniv ErlichNew York Genome Center, New York, New York, USA.
Joseph K PickrellNew York Genome Center, New York, New York, USA.

Funding

Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
Medical Research Council MC_QA137853NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

Collecting cases for case-control genetic association studies can be time-consuming and expensive. In some situations (such as studies of late-onset or rapidly lethal diseases), it may be more practical to identify family members of cases. In randomly ascertained cohorts, replacing cases with their first-degree relatives enables studies of diseases that are absent (or nearly absent) in the cohort. We refer to this approach as genome-wide association study by proxy (GWAX) and apply it to 12 common diseases in 116,196 individuals from the UK Biobank. Meta-analysis with published genome-wide association study summary statistics replicated established risk loci and yielded four newly associated loci for Alzheimer's disease, eight for coronary artery disease and five for type 2 diabetes. In addition to informing disease biology, our results demonstrate the utility of association mapping without directly observing cases. We anticipate that GWAX will prove useful in future genetic studies of complex traits in large population cohorts.

Indexed as

Alzheimer DiseaseCase-Control StudiesCoronary Artery DiseaseDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansRisk

Identifiers

PMID28092683

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.