laliFamilialclustering and presenceof maternal influence on the transmission of type 2 diabetes in South Indians

Lalitha R.1, Anil Kumar R.2, Shetty S.B.3

1Dr Lalitha R, AssistantProfessor, 2Dr Anil Kumar R,Assistant Professor, 3Dr Surekha B Shetty, Assistant Professor, all authors are affiliated withKarnataka Institute of Endocrinology and Research, Bengaluru, Karnataka, India

Corresponding author:Dr Lalitha R, Email:drlalithashivaprakash@gmail.com


Abstract

Type 2 diabetes mellitus (T2D) is a chronic metabolic disorder, characterized by hyper glycaemia caused by impaired glucose homeostasis and represents a serious public health problem. T2D is a multi-factorial disorder depending on complex interactions between environmental factors and genetic variants. Objective: To evaluate the degree of familial aggregation and maternal influence on the transmission of type 2 diabetes in the South Indian population. Methodology: A total of 1063 subjects with type2 diabetes with knowledge of history of presence or absence of diabetes in relatives were randomly recruited. 652 were male and 411 were female.Results: This study showed familial clustering and maternal transmission in our study population. 78.3% of the subjects had at least one relative with diabetes. Familial aggregation was significant with presence of diabetes in 1st degree relative like parents and in siblings. 2nd degree relatives too had significantly associated with diabetes to a similar extent like 1st degree relatives.Patient’s age range between 50-59 showed highest incidence of diabetes at 44% followed by 37% in age group 40-49. Our study showed an advancement of incidence of diabetes by one decade compared to similar studies in different regions. Conclusion: Maternal factors do play an important role in the incidence of diabetes, prevalence of diabetes. Several factors may be involved in this in terms of polycystic ovaries, gestational diabetes, malnourishment during pregnancy, and other socioeconomic factors. We need studies and further research in ascertaining the exact mechanisms. Familial aggregation is common and may help us to screen for diabetes in high risk populations. Preventive strategies for type 2 diabetes should be directed at these high risk groups.

Key words: Familial clustering, maternal, Type 2 diabetes mellitus, South Indians


Manuscript received: 24th July 2018 Reviewed: 2nd August 2018
Author Corrected: 9 th August 2018 Accepted for Publication: 13th August 2018

Introduction

Type 2 diabetes mellitus (T2D) is a chronic metabolic disorder, characterized by hyperglycemia caused by impaired glucose homeostasis, and represents a serious public health problem. Prevalence of diabetes is increasing at the global level with large variation from one population to another depending on the ethnic origin. [1,2]. In India, similar to in other developing countries, there is a growing alarm for the important socioeconomic impact of the disease-high medical costs and disturbed quality of life[3,4]. T2D is a multifactorial disorder depending on complex interactions between environmental factors and genetic variants. Incidence of T2D is triggered by a genetic susceptibility, as reported by monozygous twin studies and familial aggregation in several populations [5-8]. Although, with recent advances in defining the molecular basis of T2D, the mode of inheritance of this disease is still debated.

Several studies reported that the risk of diagnosed T2DM increases when one or both parents are affected and some studies suggest that persons whose mothers had diabetes are more likely to develop diabetes themselves, compared with persons whose fathers had diabetes [9-12].

Numerous studies have concluded that individuals with maternal history of diabetes are at a higher risk of developing the disease than individuals with a paternal diabetes history.

To evaluate the degree of familial aggregation and maternal influence on the transmission of type 2 diabetes in the South Indian population. To ascertain the peak onset of diabetes in the studied population.To assess if maternal factors have a major influence on the development of diabetes in the progeny.

Materials and Methods

Subjects with type 2 DM attending the outpatient department at Karnataka Institute of Endocrinology and research, Bengaluru were recruited for the study. Detailed family history of the subjects recruited were elicited and recorded. Those who were doubtful of the family history were excluded.A total of 1063 subjects with type2 diabetes were randomly recruited.The study recorded confirmed diabetes in relatives as mentioned below

·   1st degree relative included parents, brothers and sisters.

·   2nd degree relative included maternal and paternal uncles, aunts, and cousins.

·   3rd degree relatives included grandparents and second cousins.

Inclusion criteria

1. Adult subjects above the age of 18 years are included.

2. Subjects with a diagnosis of type 2 diabetes in the above age criteria.

3. Subjects with available information on status of diabetes in close relatives are recruited.

Exclusion criteria

1.    Subjects below the age of 18 years.

2.    Pregnant women with diabetes.

3.    Type 1 adult diabetic subjects.

4.    Other types of diabetes other than type 2 diabetes are excluded on basis of clinical history.

5.    Subjects belonging to other than South Indian states of Karnataka, Andhra Pradesh, Telangana, Kerala and Tamil Nadu.

Statistical Analysis:SPSS Software was used to analyze the results and derive at the risk ratios and relations. Pearson correlation was used for assessing the significance and power of risk association with the p values of < 0.05 being significant positive association.

Results

Study subjects with presence of family history:Among the study subjects, 652 were male and 411 were female. (table1). It was observed that the first-degree relatives had a strong correlation 1st Degree relative with diabetes were seen in 64.25% of individuals with either a mother, father or a sibling as diabetic. 2nd degree relatives being diabetic were seen in 38.1% and 3rd degree relatives being diabetic were seen in 22.4%. (Fig 1)

Subject’s father with diabetes were seen in 28.9 %(n=307) and without diabetes in 71.1 %(n=756). (Table 2)

Subject’s mother with diabetes were seen in 35.3 %(n=375) and no-diabetes in 64.7 %(n=688). (Table-3)

Subject’s sisters being diabetic seen in 32.2% and brothers being diabetic in 35.7%.

Both parents with diabetes was seen in 23.7% of male subjects compared to 13.1% in female subjects.

Presence of diabetes in siblings is significant and has a comparable risk to that of diabetes in parents.

There is no significant difference between the presence of diabetes in brothers or sisters.

Patients aged with 50-59 were 44% followed by 37% aged 40-49. Our study showed anearlier shift by 1 decade peaking between 50-59, this trend may continue in future with a shift of prevalence in younger age groups leading to higher economic burden on the health.

78.3% of the subjects had at least one relative with diabetes. Familial aggregation is significant with presence of diabetes in 1st and 2nd degree relative. Diabetes in siblings is significant with risk comparable to diabetes in parents. The age of onset in age group 40-49 is comparable to 50-59 years which signifies earlier onset and has implications on the prevalence of diabetes with its burden on the healthcare system.Excess maternal transmission is significant with frequency in mother being high at 63.2% compared to 24.6% in fathers. The calculated p value 0.001 is significant.

Table-1: Frequency Table Indicating Subject’s Gender Data

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

652

61.3

61.3

61.3

Female

411

38.7

38.7

100.0

Total

1063

100.0

100.0

 

Figure 1

Alternate

Table-2: Frequency Table indicating Subject’s Father’s Diabetic History Data

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Diabetic

307

28.9

28.9

28.9

Non Diabetic

756

71.1

71.1

100.0

Total

1063

100.0

100.0

 

Table-3: Frequency Table indicating Patient’s Mother’s Diabetic History Data

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Diabetic

375

35.3

35.3

35.3

Non Diabetic

688

64.7

64.7

100.0

Table-4: Either parent with diabetes

Father

%

Mother

%

Male subject

97

22.2%

126

58.6%

Female subject

72

28.7%

111

69.4%

Total

169

24.6%

237

63.2%

Figure 2

 Alternate

Table-5: Correlations between various variables under consideration

 

Subjects Gender

Subject’sfather

Subject’smother

Subject’sbrother

Subject’s Sister

Subject’s 2° relative

Subject’s 3°relative

Subject’sFamily History

Subject’sGender

Pearson Correlation

1

-.010

-.061*

-.114**

-.139**

-.014

-.069*

-.105**

Sig. (2-tailed)

 

.749

.048

.000

.000

.659

.024

.001

N

1063

1063

1063

1062

1062

1063

1063

1063

Subject’sfather

Pearson Correlation

-.010

1

.129**

.177**

.112**

.201**

.096**

.306**

Sig. (2-tailed)

.749

 

.000

.000

.000

.000

.002

.000

N

1063

1063

1063

1062

1062

1063

1063

1063

Subject’smother

Pearson Correlation

-.061*

.129**

1

.182**

.161**

.207**

.114**

.370**

Sig. (2-tailed)

.048

.000

 

.000

.000

.000

.000

.000

N

1063

1063

1063

1062

1062

1063

1063

1063

Subject’sbrother

Pearson Correlation

-.114**

.177**

.182**

1

.380**

.132**

.105**

.389**

Sig. (2-tailed)

.000

.000

.000

 

.000

.000

.001

.000

N

1062

1062

1062

1062

1061

1062

1062

1062

Subject’ssister

Pearson Correlation

-.139**

.112**

.161**

.380**

1

.054

.094**

.349**

Sig. (2-tailed)

.000

.000

.000

.000

 

.081

.002

.000

N

1062

1062

1062

1061

1062

1062

1062

1062

Subject’s 2° relative

Pearson Correlation

-.014

.201**

.207**

.132**

.054

1

.355**

.399**

Sig. (2-tailed)

.659

.000

.000

.000

.081

 

.000

.000

N

1063

1063

1063

1062

1062

1063

1063

1063

Subject’s3°relative

Pearson Correlation

-.069*

.096**

.114**

.105**

.094**

.355**

1

.278**

Sig. (2-tailed)

.024

.002

.000

.001

.002

.000

 

.000

N

1063

1063

1063

1062

1062

1063

1063

1063

Subject’s F/H

Pearson Correlation

-.105**

.306**

.370**

.389**

.349**

.399**

.278**

1

Sig. (2-tailed)

.001

.000

.000

.000

.000

.000

.000

 

N

1063

1063

1063

1062

1062

1063

1063

1063

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

Discussion

Type 2 diabetes is a chronic metabolic disorders with multiple aetiopathological factors including genetic inheritance.The existence of excess maternal transmission of type 2 diabetes iscurrently debated (17-19). Both environmentaland genetic hypotheses have been proposedas mechanisms for maternaltransmission (17, 19-22). Proposed environmental mechanisms include maternal effects onintrauterine environment. Behavioural risk factors preferentially passed on bymothers like dietary or physical activitybehaviours that increase the risk of obesityand diabetes. Transmission of mitochondrialgenes (passed only from mother to children)is the most common genetichypothesis. Excess maternal transmission oftype 2 diabetes has not been consistentlyobserved across races. Although thisinheritance pattern has been observed inpopulations with lower prevalence of disease,North American, English,French, and Chinese populations,negative findings have been reported in atleast two ethnic groups with high prevalenceof diabetes (i.e., Hispanics and SouthAsian Indians,South Indians and Koreans)[15,22]. However, excessmaternal transmission has also beenobserved in Pima Indians. Different methods of quantifyingexcess maternal transmission make studiesfrom different populations difficult to compare. Potential bias in the reporting of familyhistory data and equivocal findings, especially between the various racial groups,have contributed to the controversy overthe existence of excess maternal transmission of diabetes [17, 18]. Although understanding the completenessand accuracy of diabetes familyhistory data would seem to be necessary tothe study of patterns of inheritance, therehave been very few evaluations ofits quality and associated biases [17]. Studiesof excess maternal transmission wouldbe particularly sensitive to bias if thesubject’s ability to provide complete andaccurate histories differed for the maternalversus paternal arms of the pedigree [18].

Preventive strategies for type 2 diabetes should be directed at these high risk groups. Factors that may be causing a shift towards an earlier age group need to be addressed and studied.

Excess maternal transmission is significant with frequency in mother being high, 63.2% in mothers compared to 24.6% in fathers. A number of studies have shown an excess maternal transmission in different populations. Our study results showed similar results to De Silva et al in Srilankan population that an excess maternal transmission with familial aggregation [13].

This study group showed 78.3% of the subjects had at least one relative with diabetes. Investigation in previous study showed the parental transmission patterns of T2DM showing an excess of maternal transmission of T2D as mothers were implicated two times more frequently than fathers. This inheritance pattern has been reported for severalpopulations includingEnglish, French, South African, Chinese, North American, Caucasians and West Indian patients have shown similar results [23].

Viswanathan M et al in a South Indian population showed that there is no maternal influence on the transmission of type2 DM. Kim J et al also showed a lack of excess maternal transmission in Korean population [15].

In the CURES study the peak prevalence of diabetes was in 60-69 age group with 33% but in this study we have seen an advance of one 1 decade peaking between 50-59.16 Thistrend may continue in future with a shift of prevalence in younger age groups leading to higher economic burden on the health. Peak age of onset of diabetes in the study population is in between 50-59. The age group between 40-49 is comparable to that of 50-59 suggesting an earlier onset of diabetes. Mohan et al have shown in the CURES study a similar phenomenon of shift in onset of diabetes to earlier age group [16].

Conclusion

Maternal factors play an important role in the increasing prevalence of diabetes. The reasons for this need to be evaluated. Maternal nutrition during pregnancy, presence of GDM, diabetes during pregnancy, genetic andmaternal side consanguity and other factors may play a role. Familial aggregation is common and may help us to screen for diabetes in high risk populations. Preventive strategies for type 2 diabetes should be directed at these high risk groups. Factors that may be causing a shift towards an earlier age group need to be addressed and studied.

In our study we found an excess of maternal transmission and familial aggregationas against to a similar study in South Indian population. This may need further evaluation as to whether consanguineous marriages, maternal nutrition, intrauterine foetal growth, gestational diabetes, polycystic ovarian disease or other factors influence this trend. Our study also addresses the need to educate and counsel these set of population to apply preferential screening and preventive strategies.In this study we have overcome the study bias by excluding subjects without a proper and confirmed knowledge of diabetes status in the first degree relatives. Hence we can now address and look into factors that may contribute to this phenomenon in our population in future studies.

IRB approval obtained and KIER ethics committee approval obtained.

Contribution by authors

Authors Dr Anil Kumar R and Dr Surekha Shetty have helped in study design and in the analysis of data. They have contributed to the discussion and preparation of manuscript.

Acknowledgement-The author would like to thank all the subjects and Mr Pradeep BK (Biocon) for assistance.

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