ReviewMethods in molecular biology (Clifton, N.J.)2021
Genetic Epidemiology of Complex Phenotypes.
Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Genetic Epidemiological Analysis of the Keratoconus Genetic Model in the Chinese Keratoconus Cohort Study.Investigative ophthalmology & visual science · 2025Article
- snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.F1000Research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic and environmental factors are critical elements in most common complex disease. Genetics is increasingly being recognized to play a substantive role in the susceptibility, prognosis, and treatment of common diseases. Due to recent and rapid advancements in characterization of genetic variants and large-scale genotyping platforms, multiple genes and genetic variants have now been identified for common, complex diseases. The most efficient method for gene identification at present appears to be large-scale association-based studies, which integrate genetic and epidemiological principles. As the strategy for gene identification studies has shifted toward genetic association-based methods rather than traditional linkage analysis, epidemiological methods are increasingly being integrated into genetic investigations and in public health research. Consequently, the disciplines of genetics and epidemiology, which historically have functioned separately, have been integrated into a hybrid discipline referred to as genetic epidemiology. In this chapter, we review methods for establishing the genetic burden of complex genetic disease, followed by methods for gene and/or genetic variant identification. When appropriate, we will highlight the epidemiological issues and clinical applications that guide these methods.
Indexed as
Identifiers
33871853What Socratic holds
Registered trials
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.