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Related Concept Videos

What is Population Genetics?01:25

What is Population Genetics?

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Testing a Claim about Mean: Known Population SD01:11

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A complete procedure of testing the hypothesis about a population mean is explained here.
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Testing a Claim about Mean: Unknown Population SD01:21

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Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
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Continued misuse of multiple testing correction methods in population genetics-A wake-up call?

Arun Sethuraman1, Nicolette M Gonzalez1, Christy E Grenier1

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Summary

Population geneticists rarely correct for inflated error rates from multiple tests like Hardy-Weinberg Equilibrium (HWE) and Linkage Disequilibrium (LD). This study highlights the continued need for rigorous Family-Wise Error Rate (FWER) correction in population genetics research.

Keywords:
BonferroniFWERmultiple comparisonspopulation genetics-empiricaltype I error

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Area of Science:

  • Population genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Population geneticists commonly employ multiple hypothesis tests, including Hardy-Weinberg Equilibrium (HWE), Linkage Disequilibrium (LD), and population differentiation.
  • Correction for inflated Family-Wise Error Rates (FWER) due to multiple comparisons is infrequently reported in the literature.
  • Previous meta-analyses indicated scarce and inconsistent use of FWER corrections in population genetics studies.

Discussion:

  • This study replicates a meta-analysis of 205 population genetics studies published between 2013 and 2018.
  • Findings reveal a persistent lack of FWER correction application across HWE, LD, and population differentiation tests.
  • Inconsistencies in correction methods persist, with a tendency towards less conservative approaches for differentiation tests compared to HWE and LD tests.

Key Insights:

  • The meta-analysis demonstrates a continued disuse and inconsistency in applying Family-Wise Error Rate (FWER) corrections in population genetics.
  • There is a significant bias towards less conservative FWER correction methods for population differentiation tests.
  • The findings underscore a critical need for improved statistical rigor in population genetics research.

Outlook:

  • Encouraging rigorous and consistent application of FWER corrections is crucial for the reliability of population genetics inferences.
  • This research serves as a critical reminder for population geneticists, reviewers, and editors to prioritize statistical robustness.
  • Future studies should aim to establish standardized practices for FWER correction in population genetics to enhance the validity of research findings.