Evidence map›Paper›PMID 11317215›Full record

ReviewMolecular psychiatry2001

The search for complex disease genes: fault by linkage or fault by association?

M Baron

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular psychiatry, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Association studies of 22 candidate SNPs with late-onset Alzheimer's disease.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2009
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
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

1 author at 1 institution in 1 country.

M BaronDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA. mb17@columbia.edu
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the human DNA sequence nearing completion, the search for complex disease genes is gaining momentum, as is the debate over gene-finding strategies. This overview contrasts two pivotal methods: linkage analysis and association mapping. Linkage analysis has been used successfully to identify the genes underlying rare mendelian disorders. It has also played a role in attempts to map genes for common non-mendelian (also known as 'complex' or 'multifactorial') diseases such as psychiatric disorders. However, despite extensive efforts progress has been slow, marred by inconsistent or ambiguous results. Uncertainties about the utility of the linkage approach for complex genetic traits has spurred interest in association studies with candidate genes, as an alternate strategy. Recently, with the advent of new molecular tools, in particular high-density, single-nucleotide polymorphisms (SNPs) maps, it has been argued that, while linkage analysis may retain some role, genome-wide association studies with SNPs offer a superior strategy for unraveling genetic complexity. In this paper I review these issues, stressing the pros and cons of the various strategies. I propose that: (1) the uncertainties in association studies may have been underestimated; (2) neither method is sufficient or optimal; and (3) a joint linkage and association approach, together with genomic, statistical and computational advances, may have greater promise for understanding the genetic underpinnings of complex disorders in the new millennium.

Indexed as

Genetic LinkageGenetic MarkersGenome, HumanGenetic Diseases, InbornHumansGenetic Markers

Identifiers

PMID11317215
OpenAlexW2033146133

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.