Back

Phantom histories of misspecified pasts

Platt, A.; Harris, D. N.

2020-06-29 genomics
10.1101/2020.06.26.173963 bioRxiv
Show abstract

AO_SCPLOWBSTRACTC_SCPLOWThe observation that even a tiny sample of genome sequences from a natural population contains a plethora of information about the history of the population has enticed researchers to use these data to fit complex demographic histories and make detailed inference about the changes a population has experienced through time. Unfortunately, the standard assumptions required to make these inferences are often violated by natural populations in such ways as to produce specious results. This paper examines two phenomena of particular concern: when a sample is drawn from a single sub-population of a larger meta-population these models infer a spurious recent population decline, and when a genome contains loci under weak or recessive purifying selection these models infer a spurious recent population expansion.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
GENETICS
189 papers in training set
Top 0.1%
22.0%
2
Genetics
225 papers in training set
Top 0.3%
14.4%
3
Molecular Biology and Evolution
488 papers in training set
Top 0.4%
9.9%
4
Genome Biology and Evolution
280 papers in training set
Top 0.2%
6.7%
50% of probability mass above
5
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.4%
4.7%
6
G3: Genes, Genomes, Genetics
222 papers in training set
Top 0.1%
4.2%
7
PLOS Genetics
756 papers in training set
Top 4%
4.2%
8
PLOS Computational Biology
1633 papers in training set
Top 8%
4.2%
9
Peer Community Journal
254 papers in training set
Top 0.9%
3.5%
10
Genome Research
409 papers in training set
Top 1%
3.0%
11
Science
429 papers in training set
Top 12%
2.3%
12
Frontiers in Genetics
197 papers in training set
Top 5%
1.7%
13
Methods in Ecology and Evolution
160 papers in training set
Top 1%
1.7%
14
Nature
575 papers in training set
Top 12%
1.5%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
16
Systematic Biology
121 papers in training set
Top 0.4%
0.8%
17
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 5%
0.8%
18
Nature Communications
4913 papers in training set
Top 64%
0.7%
19
Theoretical Population Biology
47 papers in training set
Top 0.2%
0.7%
20
Nature Genetics
240 papers in training set
Top 8%
0.7%
21
eLife
5422 papers in training set
Top 60%
0.7%
22
PLOS ONE
4510 papers in training set
Top 72%
0.6%