@article{fdi:010088323, title = {{A} simple procedure to detect, test for the presence of stuttering, and cure stuttered data with spreadsheet programs}, author = {{D}e {M}eeûs, {T}hierry and {N}oûs, {C}.}, editor = {}, language = {{ENG}}, abstract = {{M}icrosatellites are powerful markers for empirical population genetics, but may be affected by amplification problems like stuttering that produces heterozygote deficits between alleles with one repeat difference. {I}n this paper, we present a simple procedure that aims at detecting stuttering for each locus overall subsamples and only requires the use of a spreadsheet interactive application on any operating system. {W}e compare the performances of this procedure with the one of {M}icro{C}hecker on simulations of dioecious pangamic populations, monoecious selfing populations and clonal populations with or without stuttering, and on real data of vectors and parasites. {W}e also propose a cure for loci affected and compare the results with those expected without stuttering. {I}n sexual populations (dioecious or selfers), the new procedure appeared more than three times more efficient than {M}icro{C}hecker. {C}ure was able to restore {W}right's {FIS} of stuttered data to the expected value, and particularly so in selfing simulations. {I}n clones, lack of segregation artificially increased false stuttering detection, and only highly significant stuttering tests and loci strongly deviating from others, could be usefully cured, in which case {FIS} estimate could be much improved. {I}n doubt, and whenever possible, removal of affected and not curable loci may help to shift population genetics parameter estimates towards more reliable values.}, keywords = {{AMERIQUE} {DU} {NORD} ; {COTE} {D}'{IVOIRE} ; {GUINEE}}, booktitle = {}, journal = {{P}eer {C}ommunity {J}ournal}, volume = {2}, numero = {}, pages = {e52 [18 ]}, ISSN = {2804-3871}, year = {2022}, DOI = {10.24072/pcjournal.165}, URL = {https://www.documentation.ird.fr/hor/fdi:010088323}, }