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ISSN No: 2456
International
Research
Heritability of Blood Pressure Among
o
Dr. V Venugopal Rao
1
HoD, Genetics
St. Ann’s College for Women,
ABSTRACT
Hypertension is considered to be a major health
concern and a threat for mortality and morbidity in
individuals caused due to myocardial infarction,
stroke and other cardiovascular diseases. Our study
comprises of 200 randomly chosen nuclear families
from five different South Indian states during the
period of June, 2016 to December, 2017. A total of
750 individuals (both parents and off spring) are
studied. About 103 families are selected from
Telangana State, 25 families from Andhra Pradesh
State, 13 families from Tamil Nadu State, 35 families
from Karnataka State and 24 families from Kerala
State. Information is gathered from each member of
the family and Blood Pressure is measured. A linear
fit is tried and regression coefficients are estimated
and found to be significant using student’s t
F-test. The linear equation Y = a + bx is taken where
x is mid parental value and Y is average of offspring
and regression of offspring on mid parental value is
equal to heritability. The regression coefficient and
R2 values (0.271, t and F; P < 0.05 and 0.074) for
diastolic blood pressure are higher than those values
(0.083, t and F; P<0.05 and 0.031) for systolic blood
pressure indicating that Diastolic blood pressure is
more genetically determined than Systolic blood
pressure.
Keywords: Blood Pressure, Heritability, Regression
Model.
INTRODUCTION
In today’s world, an alarming threat for mortality and
morbidity in individuals caused due to myocardial
infarction, stroke and other cardiovascular diseases is
an elevation in Blood Pressure. (P P Majumder et al.,
1990; A Nirmala et al., 1992; P Majumder
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018
ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume
International Journal of Trend in Scientific
Research and Development (IJTSRD)
International Open Access Journal
f Blood Pressure Among Random Adult Individuals
of South Indian States
Dr. V Venugopal Rao1
, P Brinda2
, R Keerthana2
, B Mounika
HoD, Genetics, 2
Students of B Sc (GCZ) III Year
St. Ann’s College for Women, Mehdipatnam, Hyderabad, Telangana
Hypertension is considered to be a major health
concern and a threat for mortality and morbidity in
individuals caused due to myocardial infarction,
scular diseases. Our study
comprises of 200 randomly chosen nuclear families
from five different South Indian states during the
period of June, 2016 to December, 2017. A total of
750 individuals (both parents and off spring) are
s are selected from
Telangana State, 25 families from Andhra Pradesh
State, 13 families from Tamil Nadu State, 35 families
from Karnataka State and 24 families from Kerala
State. Information is gathered from each member of
measured. A linear
fit is tried and regression coefficients are estimated
and found to be significant using student’s t-test and
test. The linear equation Y = a + bx is taken where
x is mid parental value and Y is average of offspring
ffspring on mid parental value is
equal to heritability. The regression coefficient and
R2 values (0.271, t and F; P < 0.05 and 0.074) for
diastolic blood pressure are higher than those values
(0.083, t and F; P<0.05 and 0.031) for systolic blood
indicating that Diastolic blood pressure is
more genetically determined than Systolic blood
Blood Pressure, Heritability, Regression
In today’s world, an alarming threat for mortality and
morbidity in individuals caused due to myocardial
infarction, stroke and other cardiovascular diseases is
an elevation in Blood Pressure. (P P Majumder et al.,
1990; A Nirmala et al., 1992; P Majumder et al.,
1994; Dayananda and Murthy, 2009; Alwan et al.,
2015). Hypertension is considered to be a major
health concern in many countries. (P P Majumder et
al., 1990; P P Majumder et al., 1994). Our country
India is no exception to this health concern.
Measured systolic and diastolic Blood pressure in any
normal healthy individual is 120 mm Hg and 80 mm
Hg (M Singh et al., 2016). Increase or decrease in this
measurement of blood pressure leads to significant
health problems. Though, India is a
diverse cultural, traditional and geographical
backgrounds, the contributing factors for blood
pressure changes seems to be common in all these
populations, still population-specific factors also exist
(P P Majumder et al., 1990; P P Majumder
1994).
Our main objective is to estimate the amount of
genetic determination of blood pressure taking into
account the resemblance and variation existing
between Parents and offspring. In other words we
have made an attempt to predict the heritabi
quantitative trait using regression model where the
regression of the mean of offspring on mid parental
value is estimated. An alternative approach to
measure heritability is based on additive genetic
variance. A ratio of additive genetic vari
total phenotypic variance gives the heritability
estimate which is population
phenotypic variance in turn is influenced by
environmental conditions (Alwan et al., 2015).
Materials and Methods:
Our study includes parents and
nuclear families residing in metropolitan cities of
Aug 2018 Page: 753
6470 | www.ijtsrd.com | Volume - 2 | Issue – 5
Scientific
(IJTSRD)
International Open Access Journal
Random Adult Individuals
, B Mounika2
, India
1994; Dayananda and Murthy, 2009; Alwan et al.,
2015). Hypertension is considered to be a major
health concern in many countries. (P P Majumder et
1990; P P Majumder et al., 1994). Our country
India is no exception to this health concern.
Measured systolic and diastolic Blood pressure in any
normal healthy individual is 120 mm Hg and 80 mm
. Increase or decrease in this
measurement of blood pressure leads to significant
health problems. Though, India is a country with
diverse cultural, traditional and geographical
backgrounds, the contributing factors for blood
pressure changes seems to be common in all these
specific factors also exist
(P P Majumder et al., 1990; P P Majumder et al.,
Our main objective is to estimate the amount of
genetic determination of blood pressure taking into
account the resemblance and variation existing
between Parents and offspring. In other words we
have made an attempt to predict the heritability of this
quantitative trait using regression model where the
regression of the mean of offspring on mid parental
value is estimated. An alternative approach to
measure heritability is based on additive genetic
variance. A ratio of additive genetic variance to the
total phenotypic variance gives the heritability
estimate which is population – specific and the
phenotypic variance in turn is influenced by
environmental conditions (Alwan et al., 2015).
Our study includes parents and offspring from random
nuclear families residing in metropolitan cities of
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 754
South Indian states. The blood pressure of each
individual in the family is measured and heritability is
estimated.
The study comprises of 200 randomly chosen nuclear
families from five different South Indian states during
the period of June, 2016 to December, 2017. A total
of 750 individuals (both parents and off spring) are
studied. About 103 families are selected from
Telangana State, 25 families from Andhra Pradesh
State, 13 families from Tamil Nadu State, 35 families
from Karnataka State and 24 families from Kerala
State. A questionnaire is filled in by each family and
data of each individual is gathered. The questionnaire
includes the information like age, gender, blood
group, occupation, habits viz., smoking, chewing
tobacco, alcohol consumption, use of antihypertensive
drugs, colour of eyes and skin, type and texture of
hair, food habits and various other anthropometric
measurements like height, weight, etc., Also the data
on the consumption of oil, milk, salt, sugar and ghee
per family was also collected. Since the studied
population is from urban areas, we made a note of the
health issues of each individual (if an individual
suffers from any allergy or a medical history of any
diseases or surgeries). We are considering only one
independent variable i.e., Mid – Parental value in our
Regression analysis. Blood pressure of each
individual in the family is measured using standard
mercury sphygmomanometer. Two readings are taken
with an interval of 10 minutes and mean of the two
readings are considered. The data of offspring about
18yrs and above are only considered. Statistical
Analysis was done manually and by using Microsoft
Excel.
Results and Discussion:
A linear fit is tried and regression coefficients are
estimated and found to be significant using student’s
t-test and F-test (Jerold H Zar (1999). Biostatistical
Analysis. 4th
Edition). The regression coefficient and
R2
values (0.271, t and F; P < 0.05 and 0.074) for
diastolic blood pressure are higher than those values
(0.083, t and F; P<0.05 and 0.031) for systolic blood
pressure. This may indicate higher genetic
determination in the case of diastolic blood pressure
which is always a risk factor in determining
Hypertension. There are only few individuals (3 to 4)
whose values are 100 and above in the case of
diastolic blood pressure indicating that they are
hypertensive. Quite a good number of individuals
belong to the range of 90 to 100 of diastolic blood
pressure are prone to hypertension. A similar range
for mild essential hypertension is reported in an
earlier study (P P Majumder et al., 1994; Sarkar and
Singh, 2015; M Singh et al., 2016). Only few
individuals are prone to low blood pressure which
could be 60 and less for diastolic blood pressure. The
intercept value for diastolic blood pressure (57.00)
could be the least possible diastolic blood pressure in
this population [Fig 1]
Figure1. Regression analysis for Diastolic Blood
Pressure
A few individuals are in the range of 140 mm Hg and
above may be prone to hypertension. As such no one
is hypertensive with systolic blood pressure greater
than 160 mm Hg, the range was earlier suggested by P
P Majumder et al., 1994. The intercept value for
systolic blood pressure (104.1) could be the least
possible systolic blood pressure in this population
[Fig 2]
Figure2. Regression analysis for Systolic Blood
Pressure
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 755
Conclusion:
Based on our analysis and comparison of results, it
can be concluded that Diastolic blood pressure is
more genetically determined than Systolic blood
pressure.
Acknowledgments:
We are thankful to the Principal and Management of
the college for financial support and encouragement.
We place on record the help given by Ms. Rita
Antony, Nurse, College premises, who trained us in
operating mercury sphygmomanometer to take precise
measurement of Blood Pressure values. We thank all
the families who supported us in providing their
information.
References:
1. A Nirmala, Treva Rice, P Chengal Reddy, K
Sreerama Krishna, P Venkata Ramana and D C
Rao (1992). Commingling and Segregation
Analysis of Blood Pressure in Consanguineous
and Nonconsanguineous Families From Andhra
Pradesh, India. American Journal of Human
Biology. 4:703-716.
2. G Dayananda and Niranjan Murthy (2009). Blood
Pressure Changes in Normotensive Subjects With
and Without Family History of Hypertension.
Journal of Physiological and Biomedical
Sciences. 22:35-37.
3. Heba Alwan, Georg Ehret, Belen Ponte, Menno
Pruijm, Daniel Ackermann, Idris Guessous, Jan A
Staessen, Kei Asayama, Zoltan Kutalik, Philippe
Vuistiner, Fred Paccaud, Antoinette Pechere-
Bertschi, Markus Mohaupt, Bruno Vogt, Pierre-
Yves Martin, Michel Burnier and Murielle
Bochud. (2015). Heritability of ambulatory and
office blood pressure in the Swiss population.
Journal of Hypertension. 33:2061-2067.
4. Jerold H Zar (1999). Bio statistical Analysis. 4th
Edition.
5. M Singh, A K Singh, S Singh, P Pandey, S
Chandra and I S Gambhir (2016). Angiotensin-
converting enzyme gene I/D polymorphism
increase the susceptibility to hypertension and
additive diseases: A study on North Indian
patients. Clinical and Experimental Hypertension.
38:3, 305-311 [PubMed].
6. Partha P Majumder, Sujata Nayak, S K
Bhattacharya, K K Ghosh, S Pal and B N
Mukherjee (1994) An Epidemiological Study of
Blood Pressure and Lipid Levels Among
Marwaris of Calcutta, India. American Journal of
Human Biology. 6:183-194.
7. Partha P Majumder, S K Bhattacharya, B N
Mukherjee and D C Rao (1990). Genetic
Epidemiological Study of Blood Pressure in a
Sedentary Rural Agricultural Population of West
Bengal, India. American Journal of Physical
Anthropology. 81:563-572.
8. Taposh Sarkar and Narinder Pal Singh
(2015). Epidemiology and Genetics of
Hypertension. Journal of The Association of
Physicians of India. 63:61–98 [PubMed].

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Heritability of Blood Pressure Among Random Adult Individuals of South Indian States

  • 1. @ IJTSRD | Available Online @ www.ijtsrd.com ISSN No: 2456 International Research Heritability of Blood Pressure Among o Dr. V Venugopal Rao 1 HoD, Genetics St. Ann’s College for Women, ABSTRACT Hypertension is considered to be a major health concern and a threat for mortality and morbidity in individuals caused due to myocardial infarction, stroke and other cardiovascular diseases. Our study comprises of 200 randomly chosen nuclear families from five different South Indian states during the period of June, 2016 to December, 2017. A total of 750 individuals (both parents and off spring) are studied. About 103 families are selected from Telangana State, 25 families from Andhra Pradesh State, 13 families from Tamil Nadu State, 35 families from Karnataka State and 24 families from Kerala State. Information is gathered from each member of the family and Blood Pressure is measured. A linear fit is tried and regression coefficients are estimated and found to be significant using student’s t F-test. The linear equation Y = a + bx is taken where x is mid parental value and Y is average of offspring and regression of offspring on mid parental value is equal to heritability. The regression coefficient and R2 values (0.271, t and F; P < 0.05 and 0.074) for diastolic blood pressure are higher than those values (0.083, t and F; P<0.05 and 0.031) for systolic blood pressure indicating that Diastolic blood pressure is more genetically determined than Systolic blood pressure. Keywords: Blood Pressure, Heritability, Regression Model. INTRODUCTION In today’s world, an alarming threat for mortality and morbidity in individuals caused due to myocardial infarction, stroke and other cardiovascular diseases is an elevation in Blood Pressure. (P P Majumder et al., 1990; A Nirmala et al., 1992; P Majumder @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume International Journal of Trend in Scientific Research and Development (IJTSRD) International Open Access Journal f Blood Pressure Among Random Adult Individuals of South Indian States Dr. V Venugopal Rao1 , P Brinda2 , R Keerthana2 , B Mounika HoD, Genetics, 2 Students of B Sc (GCZ) III Year St. Ann’s College for Women, Mehdipatnam, Hyderabad, Telangana Hypertension is considered to be a major health concern and a threat for mortality and morbidity in individuals caused due to myocardial infarction, scular diseases. Our study comprises of 200 randomly chosen nuclear families from five different South Indian states during the period of June, 2016 to December, 2017. A total of 750 individuals (both parents and off spring) are s are selected from Telangana State, 25 families from Andhra Pradesh State, 13 families from Tamil Nadu State, 35 families from Karnataka State and 24 families from Kerala State. Information is gathered from each member of measured. A linear fit is tried and regression coefficients are estimated and found to be significant using student’s t-test and test. The linear equation Y = a + bx is taken where x is mid parental value and Y is average of offspring ffspring on mid parental value is equal to heritability. The regression coefficient and R2 values (0.271, t and F; P < 0.05 and 0.074) for diastolic blood pressure are higher than those values (0.083, t and F; P<0.05 and 0.031) for systolic blood indicating that Diastolic blood pressure is more genetically determined than Systolic blood Blood Pressure, Heritability, Regression In today’s world, an alarming threat for mortality and morbidity in individuals caused due to myocardial infarction, stroke and other cardiovascular diseases is an elevation in Blood Pressure. (P P Majumder et al., 1990; A Nirmala et al., 1992; P Majumder et al., 1994; Dayananda and Murthy, 2009; Alwan et al., 2015). Hypertension is considered to be a major health concern in many countries. (P P Majumder et al., 1990; P P Majumder et al., 1994). Our country India is no exception to this health concern. Measured systolic and diastolic Blood pressure in any normal healthy individual is 120 mm Hg and 80 mm Hg (M Singh et al., 2016). Increase or decrease in this measurement of blood pressure leads to significant health problems. Though, India is a diverse cultural, traditional and geographical backgrounds, the contributing factors for blood pressure changes seems to be common in all these populations, still population-specific factors also exist (P P Majumder et al., 1990; P P Majumder 1994). Our main objective is to estimate the amount of genetic determination of blood pressure taking into account the resemblance and variation existing between Parents and offspring. In other words we have made an attempt to predict the heritabi quantitative trait using regression model where the regression of the mean of offspring on mid parental value is estimated. An alternative approach to measure heritability is based on additive genetic variance. A ratio of additive genetic vari total phenotypic variance gives the heritability estimate which is population phenotypic variance in turn is influenced by environmental conditions (Alwan et al., 2015). Materials and Methods: Our study includes parents and nuclear families residing in metropolitan cities of Aug 2018 Page: 753 6470 | www.ijtsrd.com | Volume - 2 | Issue – 5 Scientific (IJTSRD) International Open Access Journal Random Adult Individuals , B Mounika2 , India 1994; Dayananda and Murthy, 2009; Alwan et al., 2015). Hypertension is considered to be a major health concern in many countries. (P P Majumder et 1990; P P Majumder et al., 1994). Our country India is no exception to this health concern. Measured systolic and diastolic Blood pressure in any normal healthy individual is 120 mm Hg and 80 mm . Increase or decrease in this measurement of blood pressure leads to significant health problems. Though, India is a country with diverse cultural, traditional and geographical backgrounds, the contributing factors for blood pressure changes seems to be common in all these specific factors also exist (P P Majumder et al., 1990; P P Majumder et al., Our main objective is to estimate the amount of genetic determination of blood pressure taking into account the resemblance and variation existing between Parents and offspring. In other words we have made an attempt to predict the heritability of this quantitative trait using regression model where the regression of the mean of offspring on mid parental value is estimated. An alternative approach to measure heritability is based on additive genetic variance. A ratio of additive genetic variance to the total phenotypic variance gives the heritability estimate which is population – specific and the phenotypic variance in turn is influenced by environmental conditions (Alwan et al., 2015). Our study includes parents and offspring from random nuclear families residing in metropolitan cities of
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 754 South Indian states. The blood pressure of each individual in the family is measured and heritability is estimated. The study comprises of 200 randomly chosen nuclear families from five different South Indian states during the period of June, 2016 to December, 2017. A total of 750 individuals (both parents and off spring) are studied. About 103 families are selected from Telangana State, 25 families from Andhra Pradesh State, 13 families from Tamil Nadu State, 35 families from Karnataka State and 24 families from Kerala State. A questionnaire is filled in by each family and data of each individual is gathered. The questionnaire includes the information like age, gender, blood group, occupation, habits viz., smoking, chewing tobacco, alcohol consumption, use of antihypertensive drugs, colour of eyes and skin, type and texture of hair, food habits and various other anthropometric measurements like height, weight, etc., Also the data on the consumption of oil, milk, salt, sugar and ghee per family was also collected. Since the studied population is from urban areas, we made a note of the health issues of each individual (if an individual suffers from any allergy or a medical history of any diseases or surgeries). We are considering only one independent variable i.e., Mid – Parental value in our Regression analysis. Blood pressure of each individual in the family is measured using standard mercury sphygmomanometer. Two readings are taken with an interval of 10 minutes and mean of the two readings are considered. The data of offspring about 18yrs and above are only considered. Statistical Analysis was done manually and by using Microsoft Excel. Results and Discussion: A linear fit is tried and regression coefficients are estimated and found to be significant using student’s t-test and F-test (Jerold H Zar (1999). Biostatistical Analysis. 4th Edition). The regression coefficient and R2 values (0.271, t and F; P < 0.05 and 0.074) for diastolic blood pressure are higher than those values (0.083, t and F; P<0.05 and 0.031) for systolic blood pressure. This may indicate higher genetic determination in the case of diastolic blood pressure which is always a risk factor in determining Hypertension. There are only few individuals (3 to 4) whose values are 100 and above in the case of diastolic blood pressure indicating that they are hypertensive. Quite a good number of individuals belong to the range of 90 to 100 of diastolic blood pressure are prone to hypertension. A similar range for mild essential hypertension is reported in an earlier study (P P Majumder et al., 1994; Sarkar and Singh, 2015; M Singh et al., 2016). Only few individuals are prone to low blood pressure which could be 60 and less for diastolic blood pressure. The intercept value for diastolic blood pressure (57.00) could be the least possible diastolic blood pressure in this population [Fig 1] Figure1. Regression analysis for Diastolic Blood Pressure A few individuals are in the range of 140 mm Hg and above may be prone to hypertension. As such no one is hypertensive with systolic blood pressure greater than 160 mm Hg, the range was earlier suggested by P P Majumder et al., 1994. The intercept value for systolic blood pressure (104.1) could be the least possible systolic blood pressure in this population [Fig 2] Figure2. Regression analysis for Systolic Blood Pressure
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 755 Conclusion: Based on our analysis and comparison of results, it can be concluded that Diastolic blood pressure is more genetically determined than Systolic blood pressure. Acknowledgments: We are thankful to the Principal and Management of the college for financial support and encouragement. We place on record the help given by Ms. Rita Antony, Nurse, College premises, who trained us in operating mercury sphygmomanometer to take precise measurement of Blood Pressure values. We thank all the families who supported us in providing their information. References: 1. A Nirmala, Treva Rice, P Chengal Reddy, K Sreerama Krishna, P Venkata Ramana and D C Rao (1992). Commingling and Segregation Analysis of Blood Pressure in Consanguineous and Nonconsanguineous Families From Andhra Pradesh, India. American Journal of Human Biology. 4:703-716. 2. G Dayananda and Niranjan Murthy (2009). Blood Pressure Changes in Normotensive Subjects With and Without Family History of Hypertension. Journal of Physiological and Biomedical Sciences. 22:35-37. 3. Heba Alwan, Georg Ehret, Belen Ponte, Menno Pruijm, Daniel Ackermann, Idris Guessous, Jan A Staessen, Kei Asayama, Zoltan Kutalik, Philippe Vuistiner, Fred Paccaud, Antoinette Pechere- Bertschi, Markus Mohaupt, Bruno Vogt, Pierre- Yves Martin, Michel Burnier and Murielle Bochud. (2015). Heritability of ambulatory and office blood pressure in the Swiss population. Journal of Hypertension. 33:2061-2067. 4. Jerold H Zar (1999). Bio statistical Analysis. 4th Edition. 5. M Singh, A K Singh, S Singh, P Pandey, S Chandra and I S Gambhir (2016). Angiotensin- converting enzyme gene I/D polymorphism increase the susceptibility to hypertension and additive diseases: A study on North Indian patients. Clinical and Experimental Hypertension. 38:3, 305-311 [PubMed]. 6. Partha P Majumder, Sujata Nayak, S K Bhattacharya, K K Ghosh, S Pal and B N Mukherjee (1994) An Epidemiological Study of Blood Pressure and Lipid Levels Among Marwaris of Calcutta, India. American Journal of Human Biology. 6:183-194. 7. Partha P Majumder, S K Bhattacharya, B N Mukherjee and D C Rao (1990). Genetic Epidemiological Study of Blood Pressure in a Sedentary Rural Agricultural Population of West Bengal, India. American Journal of Physical Anthropology. 81:563-572. 8. Taposh Sarkar and Narinder Pal Singh (2015). Epidemiology and Genetics of Hypertension. Journal of The Association of Physicians of India. 63:61–98 [PubMed].