Evidence map›Paper›PMID 30842646›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2019

The transformation of medical genetics by clinical genomics: hubris meets humility.

Wayne W Grody

Abstract readReview
PubMed Publisher
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Perspectives on the future of dysmorphology.American journal of medical genetics. Part A · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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.

Wayne W GrodyDivisions of Medical Genetics and Molecular Diagnostics, Departments of Path. & Lab. Medicine, Pediatrics, and Human Genetics, UCLA School of Medicine, UCLA Institute for Society and Genetics, Molecular Diagnostic Laboratories and Clinical Genomics Center, UCLA Medical Center, Los Angeles, CA, USA. wgrody@mednet.ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no question that the advent of massively parallel ("next-generation") DNA sequencing has thrust Medical Genetics and Molecular Diagnostics into a new era, availing practitioners and patients of a form of genetic testing unprecedented in its scope and comprehensiveness. It has produced impressive diagnostic yield, ended the "diagnostic odyssey" for many patients and families, expanded the known phenotypes of countless disorders, and led to almost weekly new disease gene discoveries. Nevertheless, it still fails to identify the molecular cause of many patients who clearly exhibit genetic/syndromic conditions, while at the same time unmasking other sequence changes of uncertain significance or unexpected consequences. With over six years' experience in the clinical application of NGS, this seems an opportune time to take stock and face up honestly to how much we still do not know about genome action and, indeed, the DNA molecule itself. This review and assessment examines a number of residual deficiencies and misconceptions in clinical genomics, while daring to predict its future incorporation of other "-omics" approaches and even quantum phenomena in our unending quest to understand the heredity of Homo sapiens.

Indexed as

Genetic Predisposition to DiseaseGenomicsGenetic Diseases, InbornGenetics, MedicalGenetic TestingGenome, HumanHigh-Throughput Nucleotide SequencingHumansPathology, Molecularclinical genomicsexome/genome sequencingquantum biologysecondary findingsvariant interpretation

Identifiers

What Socratic 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 Socratic graph.