Open Access

Distribution of killer cell immunoglobulin-like receptors genes in the Italian Caucasian population

  • A Bontadini1Email author,
  • M Testi2,
  • MC Cuccia3,
  • M Martinetti3,
  • C Carcassi3,
  • A Chiesa3,
  • E Cosentini3,
  • E Dametto3,
  • S Frison3,
  • AM Iannone3,
  • C Lombardo3,
  • A Malagoli3,
  • M Mariani3,
  • L Mariotti3,
  • L Mascaretti3,
  • L Mele3,
  • V Miotti3,
  • S Nesci3,
  • G Ozzella3,
  • D Piancatelli3,
  • G Romeo3,
  • C Tagliaferri3,
  • S Vatta3,
  • M Andreani2 and
  • R Conte1
Journal of Translational Medicine20064:44

https://doi.org/10.1186/1479-5876-4-44

Received: 21 July 2006

Accepted: 27 October 2006

Published: 27 October 2006

Abstract

Background

Killer cell immunoglobulin-like receptors (KIRs) are a family of inhibitory and activatory receptors that are expressed by most natural killer (NK) cells. The KIR gene family is polymorphic: genomic diversity is achieved through differences in gene content and allelic polymorphism. The number of KIR loci has been reported to vary among individuals, resulting in different KIR haplotypes. In this study we report the genotypic structure of KIRs in 217 unrelated healthy Italian individuals from 22 immunogenetics laboratories, located in the northern, central and southern regions of Italy.

Methods

Two hundred and seventeen DNA samples were studied by a low resolution PCR-SSP kit designed to identify all KIR genes.

Results

All 17 KIR genes were observed in the population with different frequencies than other Caucasian and non-Caucasian populations; framework genes KIR3DL3, KIR3DP1, KIR2DL4 and KIR3DL2 were present in all individuals. Sixty-five different profiles were found in this Italian population study. Haplotype A remains the most prevalent and genotype 1, with a frequency of 28.5%, is the most commonly observed in the Italian population.

Conclusion

The Italian Caucasian population shows polymorphism of the KIR gene family like other Caucasian and non-Caucasian populations. Although 64 genotypes have been observed, genotype 1 remains the most frequent as already observed in other populations. Such knowledge of the KIR gene distribution in populations is very useful in the study of associations with diseases and in selection of donors for haploidentical bone marrow transplantation.

Background

Killer cell immunoglobulin-like receptors (KIRs) are glycoproteins expressed on the cell surface of natural killer (NK) and subsets of T cells. These polymorphic receptors interact with specific motifs on HLA class I molecules, modulate NK cytolytic activity and are encoded by genes located on chromosome 19q13.4 [13].

They have been divided into distinct groups, depending on the number of external immunoglobulin domains (2D or 3D). The presence of a long cytoplasmatic tail with two immune tyrosine-based inhibitory motifs (ITIMs) allows the transduction of inhibitory signals and characterizes the inhibitory KIRs (2DL, 3DL), whereas the presence of short cytoplasmatic tails corresponds to the activating KIR receptors (2DS, 3DS) [14].

Due to the functional link between HLA class I molecules, KIRs are expected to display a high polymorphism. Studies on KIR genes in different populations, along with HLA system evaluations, can provide valuable information about the history and geography of human genes, while a wide range of genotypes may be expected in the human populations [58].

Most KIR haplotypes belong to one of two broad groups, termed A and B. The haplotypes have a framework of three conserved blocks containing KIR3DL3, KIR2DL4 and KIR3DL2 and differ in the number and type of KIR genes. Group A haplotype has a unique combination of seven KIR genes, while B haplotype exhibits a substantial variability in KIR gene number. Both groups of genotypes have been found in all populations analysed so far, but their distribution varies considerably among ethnic groups [5, 9, 10].

Several studies have associated KIR genes with disease susceptibility, immune responsiveness and events following allogenic transplantation; recent reports have implicated KIRs in affecting the outcome of hematopoietic stem-cell transplantation [11].

The aim of this multicentric study was to determine the percentage of the population positive for individual KIR genes and the genotype pattern in a representative ethnic Italian group of 217 samples, using a new low-resolution, gene-level KIR PCR-SSP typing; we compare the data so obtained with those previously described in other Caucasian and non-Caucasian populations

Materials and methods

217 unrelated healthy Italian individuals from 22 immunogenetics laboratories located in northern, central and southern regions of Italy were randomly selected to represent a fair, representative ethnic Italian group.

Each laboratory typed 10 DNA samples. DNA was previously extracted from peripheral blood samples drawn in EDTA anticoagulant tubes by standard protocols (e.g. salting-out); the DNA concentration and the ratio were evaluated. All participating laboratories performed KIR typing using the same low resolution PCR-SSP assay and the same lot number (KIR Genotyping Kit, Dynal Biotech, Pel-Freez Clinical Systems, Brown Deer, WI, USA) following the manufacturer's instructions. The kit was designed to identify 14 KIR genes (2DL1, 2DL2, 3DL1, 2DL4, 2DL5, 2DS1, 2DS2, 2DS3, 2DS4, 2DS5, 3DL1, 3DL2, 3DL3, 3DS1), 2 pseudogenes (2DP1 and 3DP1) and the common variants of KIR2DL5 (KIR2DL5A, KIR2DL5B), the KIR2DS4 allele (*001/002 and *003) and KIR3DP1 allele (*001/002 and *003).

The specificity of the assay was previously tested by all participating laboratories on a panel of two shared DNA chosen by two reference laboratories to cover the amplification of all mixes included in the typing kit.

PCR-SSP was performed following the manufacturer's instructions. Briefly, 25 μl of DNA at a concentration of 75–125 ng/μl with ratio > 1.5 was mixed with 150 μl of PCR Buffer, 2.4 μl of Taq polymerase and 85 μl of distilled water. Eight μl of this mixture was added to each mix except for the contamination control where a mixture without DNA was used.

Genomic polymerase chain reaction analysis was performed under the conditions recommended by the manufacturers: 1 minute at 95°C for one cycle followed by 30 cycles formed of 20 seconds at 94°C, 20 seconds at 63°C and 90 seconds at 72°C. At the end a constant temperature of 4°C was maintained.

PCR products was transferred to the well of a 2% agarose gel capable of resolving 50–2000 base pair fragments of DNA. The DNA separation was performed at 150 volts for 22–25 minutes. The amplification was checked on a UV transilluminator and photographed. The typing was interpreted by a worksheet.

Statistical analysis was performed as follows: the percentage of the population positive for KIR genes was determined by direct counting. Differences between populations were compared by χ2 and Yates-corrected P- values for the number of loci investigated.

Linkage disequilibrium (Δ) for two loci associations was calculated according to Mattiuz et al. [12]. The relative linkage disequilibrium (Δr), which gives an indication of the strength of associations between pairs of sequences, was calculated for each pair using Δmax and the observed two-locus haplotype frequency [13]. The differences between the observed and expected haplotype frequencies were compared by Yates χ2 contingency tables.

Results

All participating laboratories had the same typing of the two shared DNA. No ambiguities were observed and no false or negative results were described by the laboratories.

The frequencies of the KIR genes are compared to other Caucasian and non-Caucasian populations in table 1.
Table 1

Comparison of the KIR gene frequency observed in the Italian multicentric study with Caucasian and non-Caucasian populations.

KIR gene

Italian Study (n.217) (%)

Australian Caucasian Witt et al. (n.145) (%)

Irish Crum et al. (n.90) (%)

Germany Uhrber et al. (n.120) (%)

German Becher et al. (n.90) (%)

Greek Niokou et al. (n.233) (%)

North Indian Rajalingam et al. (n.72) (%)

Vietnamese Toneva et al. (n.59) (%)

Australian Aborigine Toneva et al. (n.67) (%)

Thailandia Norman et al. (n.119) (%)

Palestinian Norman et al. (n.105) (%)

Afro Caribbean Cook et al. (n.54) (%)

Asian Cook et al. (n.35) (%)

Chinese Han Jiang et al. (n.104) (%)

Japanese Yawata et al. (n.41) (%)

2DL1

95

96

§84 P0.009

93

87

89

91

98

§72 P0.0001

97

§83 P0.004

90

86

99

100

2DL2

53

§31 P0.0001

50

56

50

50

79 P0.0001

37

78 P0.003

42

62

54

54

17 P 0.0001

§17 P0.0001

2DL3

88

95

90

87

§65 P0.0001

88

91

98

§65 P0.0001

97

85

91

86

99 P0.0001

100

2DL5A

33

nt

nt

#44

#79

nt

nt

nt

nt

nt

nt

#33

#26

31

#39

2DL5B

28

nt

Nt

nt

nt

nt

nt

nt

nt

nt

nt

nt

nt

6 P0.0001

nt

2DS1

36

51

56

37

39

43

54

38

82 P0.0001

42

44

17

49

34

34

2DS2

53

51

51

62

49

54

62

41

84 P0.0001

44

64

52

57

17 P0.0001

§17 P0.0001

2DS3

33

28

27

28

22

37

43

31

81 P0.0001

25

37

24

29

12 P0.0001

§17 P0.0001

2DS4 *001-*002

33

#nt

#nt

#nt

#nt

#nt

#nt

#nt

#nt

#nt

#nt

#nt

#nt

80 P0.0001

#nt

2DS4* 003

89

92

96

98

96

88

80

87

81

87

88

78

83

42 P0.0001

96 P0.0001

2DS5

28

nt

35

26

27

21

47 P0.002

nt

nt

23

27

30

51 P0.008

23

28

3DL1

96

96

92

96

§87 P0.0003

90

91

89

§57 P0.0001

93

88

98

91

94

97

3DS1

35

nt

Nt

nt

36

46

39

41

78 P0.0001

44

39

17

40

32

33

§ With the exception of the Chinese Han population, the primers used were not the same as in the Italian study and hence cannot afford a real comparison. However, any higher percentages of detection are significant. # It should be noted that values given for 2DL5 and 2DS4*003 may contain 2DL5B and 2DS4*001/002 positivities where the latter alleles are reported as not-tested (nt).

The KIR2DL4, KIR3DL2, KIR3DL3 framework genes were found in all individuals whereas all other inhibitory and non-inhibitory genes were present in a varying percentage of individuals.

KIR2DL1 gene was present in 95% of the Italian Caucasian population, while in the Australian Aborigine, Palestinian and in Irish populations it is found at the lowest frequency (72, 83 and 84 percent, respectively) [8, 14, 15]. The frequency of KIR2DL2 was 53% in the Italian population which was higher than in the Australian Caucasian, Chinese Han and Japanese but lower than the Australian Aborigine (78%) and North Indian (79%) populations [6, 8, 1618]. KIR2DL3 and KIR3DL1 have a frequency similar to that observed in the Caucasian population, except for a German regional population described by Becker and in the Aborigine population which were both lower [8, 19, 20]; in Chinese Han and Japanese populations the frequency was higher [17, 18].

The non-inhibitory KIR2DS1, KIR2DS2, KIR2DS3 genes have a frequency lower than observed in the Australian Aborigine population (p < 0.005) but higher than in the Chinese Han and Japanese population, though only for KIR2DS2 and KIR2DS3 [8, 17, 18].

KIR2DS4 gene was present in a high percentage in the Italian population; the expression of allele *003 which identifies the gene variant was present in 89% of subjects studied, as compared to alleles *001 and *002, which are only represented in 33% of the population [21]. A reverse positivity of the alleles was observed to that of the Chinese Han population [17].

KIR2DS5 gene has a frequency similar to other Caucasian populations, but is lower than that observed in Asian populations, while KIR3DS1 has a frequency similar to other Caucasian and non-Caucasian populations except in the Aborigines in whom it is present in a double percentage [7, 8, 16].

Linkage distribution (LD) and relative LD values show significant differences between individual KIR pairs (Table 2).
Table 2

Linkage disequilibrium values of KIR associations.

  

2DL2

2DL3

2DL5A

2DL5B

2DS1

2DS2

2DS3

2DS4* 001-002

2DS4* 003

2DS5

3DL1

3DS1

2

Δ

-0.004

0.097

0.025

0.019

0.01

0.004

0.036

0.03

0.001

0.006

0.031

0.003

D

R

-0.055

0.69

0.597

0.586

0.241

0.055

0.924

0.761

0.011

0.193

0.201

0.064

L

H

0.246

0.623

0.168

0.14

0.15

0.246

0.18

0.117

0.539

0.115

0.685

0.159

1

P

 

< 0.0001

    

< 0.05

     

2

Δ

 

-0.137

0.014

0.101

0.013

0.205

0.099

0.012

-0.031

0.003

-0.005

0.025

D

R

 

-1.186

0.106

0.990

0.096

0.944

0.811

0.1

0.295

0.026

0.087

0.196

L

H

 

0.071

0.07

0.149

0.077

0.304

0.156

0.071

0.181

0.05

0.252

0.087

2

P

 

< 0.0001

 

< 0.0001

 

< 0.0001

< 0.0001

     

2

Δ

  

0.001

-0.096

0.001

-0.115

-0.086

-0.022

0.025

-0.016

0.007

-0.028

D

R

  

0.022

-1.774

0.012

-1

-1.333

-0.347

0.120

-0.301

0.054

-0.407

L

H

  

0.12

0.005

0.135

0.092

0.032

0.1

0.471

0.084

0.549

0.102

3

P

   

< 0.0001

 

< 0.001

< 0.001

     

2

Δ

   

0.02

0.135

0.022

0.04

-0.05

-0.052

0.108

-0.051

0.133

D

R

   

0.162

0.886

0.167

0.269

-0.341

-0.835

0.887

-1.35

0.863

L

H

   

0.047

0.171

0.078

0.071

-0.016

0.069

0.135

0.096

0.168

5A

P

    

< 0.0001

 

< 0.001

< 0.0001

< 0.05

   

2

Δ

    

0.019

0.104

0.119

-0.01

-0.022

0.01

-0.035

0.018

D

R

    

0.162

1.022

0.969

-0.078

-0.445

0.071

-1.157

0.147

L

H

    

0.050.

0.152

0.146

0.02

0.08

0.032

0.1

0.048

5B

P

     

< 0.0001

< 0.0001

     

2

Δ

     

0.021

0.028

-0.05

-0.08

0.115

-0.047

0.127

D

R

     

0.156

0.195

-0.348

-1.212

0.962

-1.18

0.839

S

H

     

0.085

0.064

0.012

0.056

0.146

0.119

0.167

1

P

      

< 0.05

< 0.0001

< 0.05

< 0.0001

 

< 0.0001

2

Δ

      

0.106

0.016

-0.02

0.01

-0.005

0.025

D

R

      

0.868

0.132

0.185

0.103

-0.087

0.196

S

H

      

0.163

     

2

P

      

< 0.0001

0.075

0.192

0.058

0.252

0.087

2

Δ

       

-0.011

-0.032

0.003

-0.051

0.04

D

R

       

-0.076

-0.537

0.028

-1.425

0.275

S

H

       

0.022

0.09

0.031

0.096

0.075

3

P

           

< 0.001

2

Δ

        

-0.107

-0.039

0.0003

-0.039

D

R

        

-1.811

-0.321

0.009

-0.271

S

H

        

0.019

0.011

0.155

-0.003

4*001 *002

P

        

< 0.0001

< 0.01

 

< 0.05

2

Δ

         

-0.061

0.108

-0.07

D

R

         

-1.24

0.804

-1.108

S

H

         

0.041

0.661

0.063

4*003

P

         

< 0.05

< 0.000

< 0.05

2

Δ

          

-0.056

0.105

D

R

          

-1.876

0.862

S

H

          

0.068

0.135

5

P

          

< 0.05

< 0.0001

3

Δ

           

-0.076

D

R

           

-2.01

L

H

           

0.085

1

P

           

< 0.05

Δ = linkage disequilibrium parameters;R = relative linkage disequilibrium;H = estimated two locus haplotype frequency;P = p value

Among the main inhibitory KIRs, we showed a positive linkage disequilibrium between KIR2DL1 and KIR2DL3 whereas KIR2DL2 is in negative linkage with KIR2DL3. About the only non-inhibitory gene observed in genotype 1, KIR2DS4*001/002 is negatively linked with its variant KIR2DS4*003.

The main pairs of KIR genes that show a significant positive and negative linkage disequilibrium are summarized in table 3.
Table 3

Pairs of KIR genes that show significant positive and negative linkage disequilibrium

Positive linkage disequilibrium

Negative linkage disequilibrium

2DL1-2DL3, 2DL1-2DS3

2DL2-2DL3

2DL2-2DL5B, 2DL2-2DS2, 2DL2-2DS3

2DL3-2DL5A, 2DL3-2DS2, 2DL2-2DS30

2DL5A-2DS1, 2DL5A-2DS3

2DL5A-2DS4*001-02, 2DL5A-2DS4*003

2DL5B-2DS2, 2DL5B-2DS3

2DS1-2DS4*001-002, 2DS1-2DS4*003

2DS1-2DS3, 2DS1-2DS5, 2DS1-3DS1

2DS4*001-002-2DS4*003,

2DS2-2DS3

2DS4*001-002-2DS5, 2DS4*001-002-3DS1

2DS3-3DS1

2DS4*003-2DS5

2DS4*003-3DL1, 2DS4*003-3DS1

2DS5-3DL1

2DS5-3DS1

3DL1-3DS1

The KIR repertoire is substantially influenced by the polymorphic and polygenic nature of the KIR gene. In all, 65 different profiles were found in the Italian population without pseudogenes and 74 if we include KIR2DP1 and KIR3DP1 among the 217 samples tested.

Genotypes containing between 6 and 15 genes are included. Genotypes with seven and eleven genes are the most represented in the study population, respectively in 44 and 45 cases.

Following the Uhrberg classification, out of the 65 genotypes identified the most frequent are genotypes 1, 2, 3, 4, 6, 7, 12, 5 and 9 with a frequency of 28.5%, 12.9%, 9.2%, 8.3%, 4.6%, 3.6%, 3.6%, 2.3% and 1.3% respectively (Table 4) [4].
Table 4

Distribution of the main phenotypes observed in the Italian population. The nomenclature system from Uhrberg is used for describing the patterns (5). Each genotype is also shown in the different patterns due to the distribution of KIR2DS4 alleles and the KIR2DL5 variants.

Genotypes

Number

Frequency %

2

2

2

2

2

2

2

2

2

2

2

2

3

3

3

3

   

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

D

   

L

L

L

L

L

L

S

S

S

S

S

S

L

L

L

S

   

1

2

3

4

5

5

1

2

3

4

4

5

1

2

3

1

       

A

B

   

*001–*002

*003

     

1

39

28.5

+

-

+

+

-

-

-

-

-

-

+

-

+

+

+

-

1

20

 

+

-

+

+

-

-

-

-

-

+

+

-

+

+

+

-

1

3

 

+

-

+

+

-

-

-

-

-

+

-

-

+

+

+

-

2

11

 

+

+

+

+

-

-

-

+

-

-

+

-

+

+

+

-

2

16

12.9

+

+

+

+

-

-

-

+

-

+

+

-

+

+

+

-

2

1

 

+

+

+

+

-

-

-

+

-

+

-

-

+

+

+

-

3

16

9.2

+

+

+

+

-

+

-

+

+

-

+

-

+

+

+

-

3

4

 

+

+

+

+

-

+

-

+

+

+

+

-

+

+

+

-

4

17

8.3

+

-

+

+

+

-

+

-

-

-

+

+

+

+

+

+

4

1

 

+

-

+

+

+

-

+

-

-

+

-

+

+

+

+

+

6

8

4.6

+

+

+

+

+

+

+

+

+

-

+

+

+

+

+

+

6

2

 

+

+

+

+

+

+

+

+

+

+

-

+

+

+

+

+

7

3

3.6

+

+

+

+

+

-

+

+

+

-

+

-

+

+

+

+

7

4

 

+

+

+

+

+

+

+

+

+

-

+

-

+

+

+

+

7

1

 

+

+

+

+

+

+

+

+

+

+

-

-

+

+

+

+

12

8

3.6

+

+

+

+

+

-

+

+

-

-

+

+

+

+

+

+

In particular, genotype 1, observed in 62 samples with a frequency of 28.5%, closely resembles that observed in the other Caucasian, Palestinian and Thai populations, but not in the Indian and Aborigine populations, which have a frequency of 5.6% and 1.7%, respectively [5, 6, 8, 15, 16]. In this genotype the expression of KIR2DS4 is related to the homozygous allele *003 in 39 out of 62 and in 20 out of 62 samples in heterozygous combinations with allele *001/*002.

Genotype 2 was present in 28 people with a frequency of 12.9%; it includes the inhibitory gene KIR2DL2 and has a frequency higher than that observed in other Caucasian and non-Caucasian populations or in the Palestinian and Thai populations which have a similar frequency [6, 8, 15]. In this case KIR2DS4*003 is in heterozygous and homozygous combinations in 11 and 16 out of 28 individuals, respectively.

Genotype 3 with a frequency of 9.2% (20 samples) always includes gene KIR2DL2 and has a frequency that is higher than the Australian Caucasian, Greek and German populations, while it has a similar percentage to that observed in another German study and in a Palestinian population study [5, 6, 19]. Genotypes included KIR2DL5 which is only positive in the variant KIR2DL5B, while KIR2DS4 is positive for the homozygous allele *003 in 16 samples.

Genotype 4, observed in 18 people with a frequency of 8.3%, is lower than that observed in Australian Caucasian and Irish populations but similar to that observed in other Caucasian and non-Caucasian studies [6, 8, 14]. In this genotype KIR2DL5 is always positive in the variant KIR2DL5A while KIR2DS4 is positive in homozygous combination for the allele *003 in 80% of this genotype.

Genotype 6 includes all inhibitory and non-inhibitory genes and is present in 10 cases (4.6%) somewhat similar to the position observed in the Caucasian and non-Caucasian populations but not in the Australian Aborigine [6]. In this genotype the two variants of KIR2DL5 are equally expressed while KIR2DS4*003 is present in 8 out of 10 cases.

Genotype 7, which includes all inhibitory and non-inhibitory genes except KIR2DS5, has a frequency of 3.6% which is lower than has been observed in other Caucasian populations, similar to the finding in Palestinian and Thai studies and much lower than in the Australian Aborigine population [68, 15].KIR2DL5A is positive in all samples and KIR2DL5B in about half. Allele KIR 2DS4*003 is observed in 7 out of 8 samples.

Genotype 12 has a percentage of 3.6%, similar to that observed in other Caucasian and non-Caucasian populations except in Australian Caucasians where it is higher [6]. In these 8 samples we only have positivity in genes KIR2DL5A and KIR2DS4*003.

Genotypes 5 and 9, which are characterized by positivity for KIR2DL1 and KIR2DL2 and negativity for KIR2DL3, have a frequency of 2.3% and 1.3% respectively.

The A putative homozygote haplotypes in the Italian population are the most prevalent (57%) and the distribution of genotypes in terms of combination of haplotypes proves to be AA 28.5%, AB 69.5% and BB about 2% [10].

Pseudogene typing shows a close correlation between KIR2DP1 and haplotype A while it is absent in haplotype B. Haplotype A is also characterized by the presence in all samples of allele KIR3DP1*003, while genotype B in our four samples only shows positivity for KIR3DP1*001/002 [21].

Discussion

In this work we evaluated the percentage of the population positive for each KIR gene as well as the KIR genotype frequency in a representative ethnic Italian group of 217 randomly selected unrelated healthy individuals from 22 immunogenetics laboratories, located in northern, central and southern regions of Italy.

All the participating laboratories studied the two shared DNA samples and the results showed typing consensus. Each KIR gene was detected by a single primer mix and no ambiguities were observed. Management of the new kit was acceptable by all laboratories.

The percentage of the population positive for a KIR gene was compared to other Caucasian and non-Caucasian populations [58, 1420]. While the differences in terms of low percentages observed in isolated genes could be connected with the primers that we used in typing, since these may have recognized alleles that were not evaluated in early published studies, the opposite should not apply: where older methods developed more positivity than ours (as with KIR2DL2 in the Australian Aborigine and North Indian populations), our results must be taken as significant.

The three populations that show most markedly different patterns from ours are the Australian Aborigine, Chinese Han and Japanese, in particular for inhibitor genes KIR2DL2 and non inhibitor KIR2DS1, KIR2DS2, KIR2DS3, KIR3DS1, which have a significant difference from our Italian study, as indeed from other Caucasian population evaluations [6, 17, 18].

For the Chinese Han population study the same primers were used as in our own and hence form a valid point of comparison. In particular, inhibitor genes such as KIR2DL2 and KIR2DL5B were found in an extremely low percentage, as was the non inhibitor gene KIR2DS3. KIR2DS4 alleles are especially interesting since the Chinese pattern is exactly the inverse of the Italian [17].

KIR2DL1 and KIR2DL3 are observed in high positive linkage disequilibrium as detected in other Caucasian and non-Caucasian populations and this datum further suggests a segregation of KIR region haplotypes into two groups distinguished by KIR2DL1/KIR2DL3 and KIR2DL2, although the latter is claimed to have arisen as a recombination event between KIR2DL1 and KIR2DL3 [22].

A negative linkage disequilibrium was identified between KIR2DS4*001/002 and KIR2DS4*003, suggesting their alleles may not be identical, as already confirmed in other Caucasian and non-Caucasian populations [23].

The KIR repertoire is substantially influenced by the polymorphic and polygenic nature of the KIR gene. However, using primers to identify the two variants of KIR2DL5 (2DL5A, 2DL5B) and the allele KIR2DS4*003, each genotype described by Uhrberg might be assigned to a haplotype with more than one combination [4, 23, 24].

In this study we observed that genotype 1is the most representative, as in other Caucasian populations, and our data are in agreement with other studies on Caucasian populations concerning the predominance of the haplotype A group over the haplotype B group [5]. This means that 28.5% of the Italian population have KIR2DS4 as the only activating gene. Bearing in mind the high percentage of individuals who have only the deleted form of KIR2DS4, this would lead to at least 18% of this population not having a functional activating receptor, provided that the assumption of the deleted form of KIR2DS4 not being expressed is correct [23].

Genotype 1 is also the most frequent in the Chinese Han non-Caucasian population but the percentage is higher than observed in our study (58.7% vs 28.5%). In this genotype the distribution of the KIR2DS4 alleles has a completely contrary pattern to what we observed in our population, suggesting a different positivity of the alleles but also a different haplotype recombination in the populations [17]. The particular distribution of KIR genes could be due to a selection pressure, which would favour a particular combination of KIR genes, and this phenomenon could be explained by the linkage disequilibium observed.

The actual number of genotypes in the Italian study population is likely to be much lower higher than we surmised because the medium level of resolution was only studied for KIR2DL5 and KIR2DS4. Typings for the two groups, alleles KIR2DL5 and KIR2DS4, already show an increase in the variety of KIR gene profiles. Moreover the distribution of the patterns described should be revised because the analysis in which there was no or low discrimination of alleles will have overestimated the similarities and underestimated the differences between populations [25, 26].

Combinations of particular HLA-KIR genotypes have also been linked with susceptibility to autoimmune diseases such as psoriatic arthritis and type I diabetes, just as several genetic studies have revealed an influence of HLA-KIR gene interactions on disease outcome.

Interactions between HLA-Bw4 and KIR3DS1 gene have been observed in cases of delayed progression to AIDS in HIV patients, while the homozygosity of both HLA-C1 and KIR2DL3 is associated with resolution of hepatitis C virus infection. Understanding the basis for these observed genetic associations is complicated by the extensive polymorphism found among KIR haplotypes, which differ not only in nucleotide sequence but also in gene content [27].

In having established the percentage of the population positive for a KIR gene and the distribution of KIR genotyping, the present study may serve as a reference for other studies of genetic associations between KIR genes and specific diseases.

Recently several reports have described a role for KIR genes in bone marrow transplantation. At present the approach to identification of NK alloreactive donors in haploidentical bone marrow transplants has been based on KIR ligand incompatibility [11]. However this incompatibility has also been shown in HLA-identical sibling transplantation [28]. Therefore the availability of a simple, reproducible molecular biology test such as we have used in this study to type the KIR genes could become part of donor evaluation and selection, since it directly identifies the presence or absence of a given KIR gene in the donor. One important example of this is the lack of the KIR3DL1 gene for HLA-Bw4 inhibitory receptors, which immediately excludes about 4% of potential donors.

In broad conclusion, our study shows that the Italian population possesses the general KIR gene features reported in other Caucasian and non-Caucasian populations, but the discrepancies in the case of certain genes confirm the polymorphic and polygenic nature of the KIR genes in the population.

Abbreviations

KIR: 

Killer cell immunoglobulin-like receptors

HLA: 

Human Leukocyte Antigen

PCR-SSP: 

polymerase chain reaction sequence specific primer

Declarations

Acknowledgements

Italian KIR Collaborative AIBT Group Laboratories: Genetic Unit University of Pavia, Transfusion Service S. Matteo Hospital of Pavia, Genetic Unit University of Cagliari, Immunogenetic IBMDR Galliera Hospital of Genova, Transfusion Service Federico II Hospital of Napoli Transplant Immunology San Giovanni Battista-Molinette Hospital of Torino, Transplant Immunology Maggiore Hospital of Milano, Transfusion Service Istituto Nazionale Tumori of Milano, Immunology Service Spedali Civili of Brescia, Immunogenetic S. Camillo-Forlanini Hospital of Rome, Transfusion Service Cisanello Hospital of Pisa, Transfusion Service S. Gerardo Hospital of Monza, Transfusion Service SS. Antonio e Biagio Hospital of Alessandria, Transfusion Service S. Maria Misericordia Hospital of Udine, Immunogenetic Muraglia Hospital of Pesaro, Immunogenetic CNR of Roma, Immunogenetic CNR of L'Aquila, Immunogenetic B.M.M. Hospital of Reggio Calabria, Transfusion Service S. Bortolo Hospital of Vicenza, Immunogenetic Cattinata Hospital of Trieste.

Authors’ Affiliations

(1)
Transfusion Service, S. Orsola-Malpighi Hospital
(2)
Mediterranean Institute of Hematology
(3)
Italian KIR Collaborative AIBT Group

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© Bontadini et al; licensee BioMed Central Ltd. 2006

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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