Investigating Biological Relationships in Burkina Faso Using DNA Testing
Bapio Valérie Elvira Jean Télesphore Bazie1,2,3*orcid, Moussa Ouattara1,2, Serge Théophile Soubeiga1,2,3, Abdou Azaque Zoure1,2,3, Prosper Bado1,2, Abel Sorgho1,2, Touwendpoulimdé Isabelle Kiendrebeogo1,2, Lassina Traore1,2, Soumaïla Sawadogo1,2, Luc Zongo2,4, Théodora M. Zohoncon1,2,4, Florencia W. Djigma1,2, Théophane Albert T. Yonli1,2, Mahamoudou Sanou1,2,5, Jacques Simpore1,2,4orcid
1Centre de Recherche Biomoléculaire Pietro Annigoni (CERBA), Ouagadougou, Burkina Faso.
2Université Joseph KI-ZERBO, Unité de Formation en Sciences de la Vie et de la Terre, Laboratoire de Biologie Moléculaire et de Génétique (LABIOGENE), Ouagadougou, Burkina Faso.
3Centre National de la Recherche Scientifique et Technologique (CNRST), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso.
4Faculty of Health Sciences, University Saint Thomas d’Aquin (USTA), Ouagadougou, Burkina Faso.
5Centre Hospitalier Universitaire Pédiatrie Charles De Gaulle, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
DOI: 10.4236/ajmb.2025.151008   PDF    HTML   XML   39 Downloads   197 Views  

Abstract

DNA testing for biological relationships is becoming increasingly common in Burkina Faso. STR analysis remains the most reliable technique for resolving disputes or claims in court regarding biological relationships. This study aimed to establish the links of biological relationships between subjects by analyzing 21 STR loci. The participants were 14 individuals referred to CERBA by the Justice in 2022. Oral or blood samples were taken for each subject. DNA was extracted, and the analysis of DNA polymorphism by PowerPlex® 21 Kit (Part No. DC8902) was performed by capillary electrophoresis on the ABI PRISM 3130 sequencer. DNA profiles were compiled using the GeneMapper IDX software version 1.2. Of the fourteen subjects examined, twelve of these samples had complete genetic profiles, while the other two had partial and absent profiles. The results confirmed the inclusion of three cases of Paternity, one case of maternity, one case of a relationship of brotherhood, and the exclusion of one case of maternity and one case of a relationship of brotherhood. DNA tests improve the resolution of filiations, but they require ethical and cultural awareness and a strengthened legal framework to prevent and protect society.

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Bazie, B. , Ouattara, M. , Soubeiga, S. , Zoure, A. , Bado, P. , Sorgho, A. , Kiendrebeogo, T. , Traore, L. , Sawadogo, S. , Zongo, L. , Zohoncon, T. , Djigma, F. , Yonli, T. , Sanou, M. and Simpore, J. (2025) Investigating Biological Relationships in Burkina Faso Using DNA Testing. American Journal of Molecular Biology, 15, 97-109. doi: 10.4236/ajmb.2025.151008.

1. Introduction

Genetic testing is a technique used to establish a medical diagnosis. They also find their place in criminal investigations. The term “genetic fingerprint” or “DNA fingerprinting” describes a technique that allows for the identification of individuals with certainty by DNA analysis, unlike conventional techniques. By definition, DNA profiling is a filiation test on the maternal or paternal line using autosomal, mitochondrial, or chromosomal DNA markers [1]-[3]. It was first described by Jeffreys et al., who discovered that certain regions of DNA contained repeated DNA sequences. These repeated DNA sequences exist in all types of sizes and are collectively referred to as variable number of tandem repeats (VNTR). They are usually designated by the length of the central repeater unit and the number of repeater units [4]. DNA regions with repeated units of 2 to 6 bp in length are called microsatellites or short tandem repetitions (STR). The number of repetitions in STR markers varies greatly from individual to individual, making these markers effective for probing filiations [5] [6]. The small size of STR alleles compared to the minisatellites used by Jeffreys et al. makes STR markers better candidates for use in forensic applications [7]-[9]. Furthermore, PCR makes it possible to characterize a particular microsatellite easily. The band profiles thus obtained are unique for each human being, except for true twin boys [9]. Thus, the probability that two people have the same genetic fingerprint is, depending on the region of the genetic heritage observed, 1 per 100,000 to 1 per 1,000,000 [10]-[12]. The genetic fingerprint is also used to verify paternity links. The comparison of the mother’s DNA with that of the child and that of the presumed father allows us to clarify the paternity relationship in a certain way. It is now considered that one child in thirty (2% to 5% of children) is not fathered by the man considered as his father, but considerable differences are observed between populations [13]. Moreover, the people concerned are often in difficult psychological situations. They often require specialized support and legal mediation as appropriate. All this shows the importance and necessity of carrying out tests of filiations. In this context, we have found it necessary to contribute to establishing biological kinship links through reliable methods in Burkina Faso. This work investigated biological relationships by analyzing loci STRs in Burkina Faso.

2. Material and Methods

2.1. Study Population

This descriptive study occurred in Ouagadougou (Burkina Faso) at the Pietro Annigoni Biomolecular Research Center (CERBA). The study participants were 14 individuals referred to CERBA in 2022 by the Justice. They were divided into files according to the nature of the DNA test request: Case 1 was the paternity link search involving 06 individuals, file 2 was the maternity with 04 individuals, and the third file was the fraternity with 04 individuals.

2.2. Samples Collection

The biological sampling techniques used were oral swabs and FTA filter paper blood sampling. Oral samples (07) were taken using double sterile swabs and coded for molecular analysis in biological parents. For subjects seeking a link of filiation, the paper FTA NUCLEIcardTM copan Flock Technologies SARL was used to make their blood collection [14]. All samples were kept at −20˚C pending molecular biology analysis. Study participants gave their free and informed consent. The samples were also taken with the authorization of the judicial authorities according to the regulations in force. The various analyses of the samples taken were carried out in accordance with good laboratory practice and ethical considerations.

2.3. DNA Extraction

The DNA extraction from swabs was performed with the DNA Swap solution extraction kit DC8271. The cottony tips of the stem were cut and placed in an Eppendorf tube of 1.5 mL, and then 1 mL of Swap solution was added. The tubes were incubated at 70˚C for 20 minutes in a heated block, and the extracted DNA was kept at −80˚C for further analysis. DNA extraction from blood samples on the FTA paper was performed with the DNA IQ System Kit (ref: DC6701) according to the protocol provided by the manufacturer

2.4. DNA Amplification

DNA amplification is performed using the PowerPlex® 21 Kit (Part No. DC8902) in a total reaction volume of 12.5 μL. The amplification mixture comprised 2.5 μL master mix, 2.5 μL primer, and 5.5 μL molecular water. Add two μL of extracted DNA to 10.5 μL of PCR mixture for amplification. Amplification was performed using an Applied Biosystems PCR Thermocycler 9700. The amplification program included an initial step of denaturation at 96˚C for 1 min followed by 24 cycles of denaturation at 94˚C for 10 s, hybridization of primers at 59˚C for 1 min, and extension to 72˚C for 30 s, a final step of extension to 60˚C for 20 min would end the program. The amplified products were kept at −20˚C under protection from light until the capillary electrophoresis stage.

2.5. Capillary Electrophoresis of DNA

Capillary electrophoresis was performed using the DNA analyzer 3130 AB prism. The length of the capillaries used was 36 cm with polymer type 4 (POP4). The reaction medium consisted of 9.5 μl Hi Di formamide and 0.5 μl of a size standard (WEN ILS 500). A 96-well plate was used for electrophoresis in the DNA analyzer. Per well, 1 μL of PCR product, allelic marker, or control (Positive/negative) was added to 10 μL of the reaction medium. The ABI 3130 DNA analyzer had four capillaries; in each set, only 3 samples could be simultaneously analyzed with the allelic marker of the fourth wall. A denaturation step of the DNA was performed just before the beginning of capillary electrophoresis. The electrophoresis conditions were 5 seconds for injection time and 15 volts for voltage. The electrophoresis sequence files were collected using Data Collection v3.0. Software in the format “fsa”.

2.6. Data Analysis

The sequence files “fsa.” generated are processed with GeneMappers IDX software version 1.2 to determine the marker alleles in each sample analyzed. A total of 20 markers were analyzed per subject, and two alleles per marker were read. Indeed, on the two alleles of subjects in search of kinship links, we identify the mandatory paternal/maternal/allele. In the absence of this allele, the genetic profile of this sample is excluded from identification because the index of paternity/maternity is zero. A combined probability must be estimated for each region examined if this allele is present. No regional allele frequency database in West Africa accurately represents Burkina Faso. The African population, including that of Burkina Faso, exhibits significant genetic diversity due to a complex evolutionary history and migration patterns. Research has demonstrated that utilizing Afro-American allele frequencies is as close as possible to the African population and can aid in establishing genetic relationships and variations within the Burkinabe population [15]. Based on the Bayesian probability law, we used allelic frequencies of markers in the African-American population to determine combined indices of motherhood, Paternity, and combined brotherhood relationship [16]-[18]. The establishment of biological relationships was done on the basis of the formulas described by Eisenberg in 2003.

3. Results

3.1. DNA Profile Relative to Paternity Test Samples

Table 1 and Table 2 present record 1, which consisted of the genetic profiles of individuals (OZ1, OZ2, and OZ3) looking for potential paternity affiliations with individuals (OY1, OY2, and OY3). Out of the six samples analyzed, six complete profiles were obtained. For these biological samples, the study population consisted of 03 samples of supposed fathers and 03 samples of subjects seeking paternity links.

Table 1. Genetic profiles of alleged parents for paternity relationship research.

Duo1

Requestor

Alleged parent

Duo2

Requestor

Alleged parent

Type of relation

OZ1

OY1

Type of relation

OZ2

OY2

Alleles obtained

Alleles obtained

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

AMEL

X

X

X

Y

AMEL

X

X

X

Y

CSF1PO

10

10

10

12

CSF1PO

10

12

10

12

D12S391

15

16

15

17

D12S391

20

20

19

20

D13S317

11

11

11

11

D13S317

12

12

12

12

D16S539

11

13

11

11

D16S539

11

13

11

11

D18S51

16

20

15

20

D18S51

12

18

18

19

D19S433

14

14

14

20

D19S433

12

12.2

12

13

D1S1656

14

19.3

14

14

D1S1656

14

15

14

16

D21S11

27

32.5

27

28

D21S11

32.2

36

28

36

D2S1338

21

25

16

21

D2S1338

24

24

21

24

D3S1358

16

18

16

16

D3S1358

15

16

15

16

D5S818

12

13

12

12

D5S818

12

12

12

13

D6S1043

12

18

12

20

D6S1043

15

16

12

16

D7S820

8

11

8

11

D7S820

9

10

10

10

D8S1179

15

16

13

16

D8S1179

15

15

13

15

FGA

22

23

22

26

FGA

19

22

15

22

Penta D

2.2

8

2.2

5

Penta D

8

11

9

11

Penta E

9

16

8

9

Penta E

12

15

15

17

TH01

6

7

6

7

TH01

7

9

7

9

TPOX

8

9

8

10

TPOX

8

12

11

12

vWA

16

16

16

18

vWA

17

17

15

17

Legend: Duo1 (comparison of profiles of the presumed father OY1 and OZ1) and Duo2 (comparison of profiles of the presumed father OY2 and OZ2).

Table 2. Genetic profiles of biological parents (paternity Duo 3).

Duo3

Requestor

Alleged parent

Type of relation

OZ3

OY3

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

AMEL

X

Y

X

Y

CSF1PO

10

11

10

11

D12S391

19

20

17

19

D13S317

11

11

11

12

D16S539

12

13

11

13

D18S51

17

18

15

17

D19S433

13

13

13

15.2

D1S1656

14

14

12

14

D21S11

28

32.2

29

32.2

D2S1338

18

19

19

21

D3S1358

15

15

15

17

D5S818

10

11

11

14

D6S1043

12

13

12

20

D7S820

8

8

8

10

D8S1179

13

14

12

14

FGA

19

21

21

27

Penta D

2.2

10

10

12

Penta E

8

8

5

8

TH01

7

7

7

7

TPOX

6

9

9

11

vWA

17

18

18

3.2. DNA Profile of Maternity Test Samples

Case 2 concerned four subjects seeking a maternity link. Of the 04 samples analyzed, two complete genetic profiles were obtained, and the rest yielded partial and null genetic profiles. (Table 3)

Table 3. DNA profile of maternity test samples (Duo 4 and 5).

Duo6

Requestor

Alleged parent

Duo7

Requestor

Alleged parent

Type of relation

OZ6

OY6

Type of relation

OZ7

OY7

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

AMEL

X

X

X

X

AMEL

X

Y

X

X

CSF1PO

10

10

-

-

CSF1PO

7

10

10

10

D12S391

17

17

-

-

D12S391

18

18

18

18

D13S317

11

11

-

-

D13S317

11

12

11

12

D16S539

9

9

-

-

D16S539

11

12

9

12

D18S51

16

19

-

-

D18S51

16

19

14

19

D19S433

12

13

-

-

D19S433

15

16

13

16

D1S1656

14

17

-

-

D1S1656

16.3

19.3

16

19.3

D21S11

29

30

-

-

D21S11

28

30

27

30

D2S1338

22

23

-

-

D2S1338

17

19

17

20

D3S1358

14

16

-

-

D3S1358

14

16

16

16

D5S818

12

13

-

-

D5S818

12

13

12

12

D6S1043

12

19

-

-

D6S1043

13

13

13

12

D7S820

11

12

-

-

D7S820

8

12

8

11

D8S1179

13

14

-

-

D8S1179

13

16

13

15

FGA

22

25

-

-

FGA

24

24

24

15

Penta D

2.2

7

-

-

Penta D

8

8

8

10

Penta E

5

8

-

-

Penta E

7

11

11

11

TH01

9

9

-

-

TH01

6

7

5

7

TPOX

9

10

-

-

TPOX

8

11

11

11

vWA

16

16

-

-

vWA

15

16

15

17

3.3. DNA Profile of the Brotherhood Test Samples

Case 3 also concerned four subjects seeking a bond of brotherhood. Two of the four samples tested resulted in a complete DNA profile, and the remaining two samples showed a partial and null genetic profile (Table 4).

Table 4. DNA profile of the brotherhood test samples.

Duo4

Requestor

Alleged parent

Duo5

Requestor

Alleged parent

Type of relation

OZ4

OY4

Type of relation

OZ5

OY5

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

STR Locus

Allele 1

Allele 2

Allele 1

Allele 2

AMEL

X

Y

X

Y

AMEL

X

Y

X

X

CSF1PO

8

8

8

9

CSF1PO

12

13

12

13

D12S391

18

18

18

20

D12S391

18

18

-

-

D13S317

11

12

12

12

D13S317

11

12

11

12

D16S539

8.3

9

9

12

D16S539

12

14

12

14

D18S51

17

21

17

15

D18S51

14

17

14

17

D19S433

13

14

13

14

D19S433

12

13

OL

OL

D1S1656

13

15

15

15

D1S1656

10

16

-

-

D21S11

28

29

27

29

D21S11

28

30

-

-

D2S1338

17

23

17

23

D2S1338

23

23

-

-

D3S1358

15

17

15

16

D3S1358

15

16

-

-

D5S818

8

12

9

12

D5S818

11

12

-

-

D6S1043

15

20

12

19

D6S1043

17

20

-

-

D7S820

8

9

9

10

D7S820

11

11

-

-

D8S1179

14

14

13

14

D8S1179

15

15

-

-

FGA

22

23

17.2

22

FGA

22

25

-

-

Penta D

8

8

6

7

Penta D

10

10

-

-

Penta E

5

15

5

12

Penta E

8

16

-

-

TH01

5

6

5

8

TH01

5

5

-

-

TPOX

9

11

8

9

TPOX

9

11

-

-

vWA

15

16

15

16

vWA

19

19

-

-

3.4. Analysis of Genetic Profiles

In a paternity or maternity test, the analysis looks for numerical value matches of alleles between the biological parent and the subject looking for kinship. The subject must receive a STR allele from their close relative for the markers studied. The Paternity/Maternity index is a way to measure the strength of a particular match based in part on the game’s uniqueness. Moreover, it is a draw if there is no match between the two profiles in this marker. The creation of database with the genetic profile of close relatives and those of subjects seeking a kinship link would allow us to identify its mandatory alleles in order to be able to perform paternity or maternity index calculations.

Inclusion or Exclusion

Analysis of the 21 STRs established the DNA profile for each sample. These results, by comparing the alleles of biological parents with those subjects seeking kinship and by calculating the paternity index and the fraternity coefficient, revealed inclusion cases. Of the 07 pairs, 03 paternity cases (OZ1 and OY1 Pair, OZ2 and OY2, OZ3, and OY3), 01 maternity test case (OZ7 and OY7), and 01 fraternity test (OZ4 and OY4) were included for Paternity. The paternity/maternity/fraternity index was 99.99% for inclusion cases (Table 5).

Table 5. Result of the combined Paternity/maternity/fraternity and probability index.

Nature of the link

Index combines Paternity or Index combines Maternity or Brotherhood Coefficient

Index combines Paternity% or Index combines Maternity% or Brotherhood Coefficient

Conclusion

Paternity test (0Z1 and 0Y1)

24423.00897

99.9959056681

INCLUSION

Paternity test (0Z2 and Y02)

6161104.81

99.99998376915

INCLUSION

Paternity test (0Z3 and 0Y3)

1034980930

99.999199307

INCLUSION

Maternity test (0Z7 and 0Y7)

1987577649

99.99999994969

INCLUSION

Brotherhood Test (0Z4 and 0Y4)

336895000000

99.9999681

INCLUSION

4. Discussion

The study aimed to establish the biological relationship by analyzing STR in Burkina Faso. Genetic profiles are used to differentiate individuals or link them through polymorphism [19]-[22]. Subjects sharing biological links together share a number of polymorphisms received independently according to the Mendel laws [19]-[22]. This variability is explained by the fact that about 0.3% of DNA is heterogeneous and contributes to the characterization and distinction of each individual [7] [14] [23]. Indeed, the analysis of the 20 STR loci of the subjects in Case 1 presented a complete profile. In contrast, the samples of subjects seeking a link of descent and the complete genetic profile obtained were five (05) profiles out of seven (07) samples. Both (02) samples had partial and null DNA profiles. This partial or zero profile situation is observed in the work of Lello et al. (2021), who worked on allelic frequencies for 20 microsatellite autosomal loci in the Kenyan population [24]. The partial or null profile would be due to low DNA concentration or total absence of DNA [25]-[27]. In our results, we observed the presence of “off ladder (OL)” or off-scale alleles that are not recognized by the allelic marker we used. The existence of these OLs could be due to a known variant or micro variant that does not fit with the allelic scale used; these OLs would provide important information on the specific genetic diversity and variability of the population [3] [28] [29]. Internal evaluation of analytical methods could be a key solution for addressing partial or null DNA profiles. Multiple authors have documented specific instances of “off-ladder (OL)” alleles at various STR loci, including D12S391, PentaE, FGA, and D19S433, using the KIT PowerPlex Fusion and GlobalFiler systems. This phenomenon affects both short and long alleles [30]. Regarding the calculation of filiation indices, a genetic database is necessary for determining the filiation link through tests that may include or exclude their profile in a paternity and/or maternity fraternity relationship. Currently, Burkina Faso does not have a legal framework and a formal database of genetic data with the frequencies of alleles of the markers studied. Only the judiciary has the authority to issue requisitions or orders for DNA profiling, as there are currently no regulations governing forensic DNA databases. To address this issue, it is essential to establish a legislative and legal framework for this area. Additionally, determining the allelic frequencies of the Burkinabe population would be beneficial. This data could serve not only as a genetic database for neighboring countries but also as a reference for those countries when establishing their own databases. In Burkina Faso, the CERBA laboratory has an HID-certified SeqStudio and NGS to address these challenges. Indeed, for the purposes of the study, we propose that a database project based on the Excel table of markers studied could be implemented. The proposed database could refer to recommendations made by Interpol on the development of the legislative framework governing the operation and management of the genetic database [23] [30] [31]. This is the case in Canada, where the DNA Identification Act, enacted on June 30, 2000, creates a national data bank [11]. Similarly, in the USA, the “DNA Identification Act” of 1994 authorized the creation of a DNA profile data bank (system CODIS). This database was used to search for paternal and maternal mandatory alleles in order to determine the indices of paternity/maternity [32]. This calculation of filiation determination is done using the 20 loci, and the inclusion probability is around 99.99% with a probability of error in the order of 1 in one hundred million [19] [32]. In addition, based on the Bayesian probability law, we used the allelic frequencies of the markers of the African-American population that would be closest to our population. The results of our work have resulted in a combined index of Paternity, maternity, and a combined relationship of brotherhood of 99.99%. This gives us an inclusion of 3 cases of Paternity, a case of maternity, and a case of brotherhood relationship, and an exclusion of a case of maternity and a case of brotherhood relationship.

5. Conclusion

The application of DNA tests to investigate kinship links in Burkina Faso represents a significant step forward in resolving filiation and family disputes. This innovative technology, which enables accurate and reliable verification of biological relationships, plays a crucial role in various legal and social contexts. However, while genetics offer promising prospects for identifying biological links, its application must be carefully framed.

Authors’ Contribution

BBVEJT, ZAA, and SM developed the study protocol and initiated the manuscript plan in collaboration with all co-authors under the Scientific Direction of JS. BBVEJT and OM coordinated the manuscript writing activities. SS, BP, KI, and SA contributed to the molecular analyses. SST, DF, TL, SM, ZL, ZTM and YA contributed to the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

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