No Link Between Genetic Risk Factor And Severe COVID Among South Asians: Study

No Link Between Genetic Risk Factor And Severe COVID Among South Asians: Study

According to experts, with growing data, it is becoming quite clear that there are several factors including genetics, immunity and the lifestyle are the contributing factor for COVID-19 susceptibility
Coronavirus Outbreak, News, Swasth India
- in Coronavirus Outbreak, News, Swasth India
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No Link Between Genetic Risk Factor And Severe COVID Among South Asians: StudyAccording to experts, since the beginning of the pandemic, scientists have wondered why some people experience more severe symptoms and adverse outcomes from COVID-19 than others
Highlights
  • Result reiterates unique genetic origin of South Asian population: Expert
  • Genetic variants responsible for case severity differ in population: Study
  • The study has covered population from India and Bangladesh

New Delhi: The major genetic risk factor for COVID-19 severity in European population may not increase the susceptibility to the disease among South Asians, according to a study that used data from India and Bangladesh. Since the beginning of the pandemic, scientists have wondered why some people experience more severe symptoms and adverse outcomes from COVID-19 than others. An earlier research done on European population suggested variations in a specific segment of DNA, or genetic material, is strongly associated with severe COVID-19 infection and hospitalisation.

Also Read: Delta Variant 60 Per Cent More Transmissible, Reduces Vaccine Effect: UK Experts

This DNA segment is present in 50 per cent of South Asians as compared to 16 per cent of Europeans. A team of scientists, led by Kumarasamy Thangaraj, from CSIR-Centre for Cellular and Molecular Biology (CCMB), Hyderabad and Professor Gyaneshwer Chaubey, from Banaras Hindu University (BHU), Varanasi, analysed the role of this DNA segment in determining COVID-19 outcomes among the South Asian population.

The finding, published in the journal Scientific Reports on Friday, concluded that the genetic variants responsible for COVID-19 severity among Europeans may not play a role in disease susceptibility among South Asians.

In this study, we have compared infection and case fatality rates with South Asian genomic data over three different timelines during the pandemic. We have especially looked into a large number of populations from India and Bangladesh, Scientist Thangaraj.

Professor Chaubey, first author of the study, “Our result reiterates the unique genetic origin of South Asian populations. A dedicated genome-wide association study on South Asian COVID-19 patients is the need of time for us in the Asian sub-continent.”

The research also suggests that the genetic variants correlated with COVID-19 outcomes differ significantly among caste and tribal populations of Bangladesh.

Scientists working in the area of population studies should be more cautious to interpret their findings by differentiating caste and tribal populations, more explicitly so in the Bangladeshi population. With growing data, it is becoming quite clear that there are several factors including genetics, immunity and the lifestyle are the contributing factor for COVID-19 susceptibility, said Professor George van Driem, from The University of Bern in Switzerland.

Other participants of this study included researchers from Dhaka University, Bangladesh, Forensic Science Laboratory in Madhya Pradesh, and Birla Institute of Scientific Research, Jaipur.

Also Read: Must Work With WHO And World Trade Organisation For Easy Access Of COVID-19 Vaccines: France President

(Except for the headline, this story has not been edited by NDTV staff and is published from a syndicated feed.)

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World

19,89,21,889Cases
6,44,02,340Active
13,02,83,678Recovered
42,35,871Deaths
Coronavirus has spread to 194 countries. The total confirmed cases worldwide are 19,89,21,889 and 42,35,871 have died; 6,44,02,340 are active cases and 13,02,83,678 have recovered as on August 3, 2021 at 3:55 am.

India

3,17,26,507 30,549Cases
4,04,9588,760Active
3,08,96,354 38,887Recovered
4,25,195 422Deaths
In India, there are 3,17,26,507 confirmed cases including 4,25,195 deaths. The number of active cases is 4,04,958 and 3,08,96,354 have recovered as on August 3, 2021 at 2:30 am.

State Details

State Cases Active Recovered Deaths
Maharashtra

63,15,063 4,869

78,700 3,650

61,03,325 8,429

1,33,038 90

Kerala

34,25,473 13,984

1,65,834 2,057

32,42,684 15,923

16,955 118

Karnataka

29,08,284 1,285

24,045 123

28,47,627 1,383

36,612 25

Tamil Nadu

25,63,544 1,957

20,385 139

25,09,029 2,068

34,130 28

Andhra Pradesh

19,70,008 1,546

20,582 437

19,36,016 1,968

13,410 15

Uttar Pradesh

17,08,500 24

646 18

16,85,091 42

22,763

West Bengal

15,29,295 575

10,803 171

15,00,331 734

18,161 12

Delhi

14,36,401 51

538 44

14,10,809 95

25,054

Chhattisgarh

10,02,458 236

1,918 1

9,87,012 234

13,528 3

Odisha

9,79,737 1,032

13,318 820

9,60,386 1,785

6,033 67

Rajasthan

9,53,704 16

241 9

9,44,509 25

8,954

Gujarat

8,24,922 22

251 3

8,14,595 25

10,076

Madhya Pradesh

7,91,862 17

132 7

7,81,217 10

10,513

Haryana

7,69,956 14

703 12

7,59,614 25

9,639 1

Bihar

7,24,917 37

401 34

7,14,872 71

9,644

Telangana

6,45,997 591

8,819 54

6,33,371 643

3,807 2

Punjab

5,99,162 32

473 31

5,82,395 63

16,294

Assam

5,68,257 1,275

12,429 213

5,50,534 1,469

5,294 19

Jharkhand

3,47,223 23

239 15

3,41,855 38

5,129

Uttarakhand

3,42,198 37

574 35

3,34,261 71

7,363 1

Jammu And Kashmir

3,21,725 118

1,254 43

3,16,090 73

4,381 2

Himachal Pradesh

2,06,369 208

1,304 75

2,01,543 132

3,522 1

Goa

1,71,295 90

1,027 16

1,67,118 72

3,150 2

Puducherry

1,21,059 54

944 38

1,18,320 92

1,795

Manipur

99,872 541

9,814 591

88,480 1,120

1,578 12

Tripura

79,026 304

3,104 12

75,167 292

755

Meghalaya

65,939 350

5,843 200

58,987 537

1,109 13

Chandigarh

61,960 6

33 3

61,116 3

811

Arunachal Pradesh

48,565 305

3,508 167

44,823 469

234 3

Mizoram

40,111 748

12,316 127

27,642 618

153 3

Nagaland

28,004 59

1,300 44

26,130 99

574 4

Sikkim

26,880 126

3,323 131

23,211 256

346 1

Ladakh

20,345 5

57 0

20,081 5

207

Dadra And Nagar Haveli

10,650

15 9

10,631 9

4

Lakshadweep

10,207 12

79 4

10,078 8

50

Andaman And Nicobar Islands

7,539

6 1

7,404 1

129

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