UV & skin color
Update: I’ve added some geographic and ethnic notations to the ones that are relevant. For example, the Indian groups which are the darkest for their latitude turn out to be a Dalit and Tribal sample. In contrast, the other groups are more socially diverse. In South Afica the Capetown sample consists of mixed-race Coloureds. I’ve also added geographic data for places like Ireland, since I know there are readers who might be able to confirm with local knowledge (or disconfirm).
End Update
From The Evolution of Skin Coloration by Nina G. Jablonski Figure 1: “The potential for synthesis of previtamin D3 in lightly pigmented human skin computed from annual average UVMED. The highest annual values for UVMED are shown in light violet, with incrementally lower values in dark violet, then in light to dark shades of blue, orange, green and gray…In the tropics, the zone of adequate UV radiation throughout the year (Zone 1) is delimited by bold black lines. Light stippling indicates Zone 2, in which there is not sufficient UV radiation during at least one month of the year to produce previtamin D3 in human skin. Zone 3, in which there is not sufficient UV radiation for previtamin D3 synthesis on average for the whole year, is indicated by heavy stippling.”
Below the fold I’ve reproduced a table that compares expected skin color and observed skin color for indigenous people. The expected is derived from a prediction equation which uses the observed values and combines them with the values from the UV map above:
Predicted skin color = (annual average UVMED) X (-0.1088) + 72.7483
I also added a column which measures the difference between expected and observed and ordered it from populations which were lighter than expected to those which were darker than expected. Many of the values seem explicable via historical information (go to the paper and in the appendix you see what populations they used, that’s important information); nevertheless, I am wondering about possibilities of different diet and its affect on skin color (more later)…. Notes: I’m skeptical of the accuracy of some of the reflectance measures. The authors report which ethnic groups they used for sampling in the appendices, so I would ask readers to look in there if they think some of these measures are questionable (I’ll have a follow up post on this). They also assume that these “indigenous” peoples (which is, admittedly, a flexible definition) are well adapted to their local UV regime, and that other factors are controlled. Jablonski’s thesis is that skin color is driven by two opposing forces: adaptation to high levels of UV which break down folate and increase birth defects, and, the need to synthesize vitamin D through the interaction of UV and biochemicals in the skin. Variation in diet and other possible selective forces aren’t of much concern to her, and so she generated her expected skin color values assume that UV is the primary independent variable. My own hunch is that the far lighter than expected skin color across much of Asia is due to Vitamin D deficiency induced by the extreme carbohydrate biased diets of these populations. At this point this is just a tentative hypothesis, but, there has been selection for alleles known to be implicated in generating lighter skin in both South and East Asia within the last 10,000 years.
Observed
Expected
Different between expected & observed
Cambodia – Khmers
54
38.99
-15.01
Saudi Arabia – Saudi
52.5
38.65
-13.85
Peru (Nunoa – Az)
47.7
34.89
-12.81
Philippines (Manila – Filipino)
54.1
41.53
-12.57
China (Tibet – India Mussoorie – Tibetans)
54.17
41.78
-12.39
Vietnam
55.9
43.59
-12.31
Afghanistan/Iran
55.7
44.55
-11.15
Algeria (Aures – Chaouias from Bouzina)
58.05
47.91
-10.14
India (Rajasthan – Rajputs)
52
42.19
-9.81
Iraq/Syria (Kurds)
61.12
51.5
-9.62
Israel
58.2
48.67
-9.53
Libya (Cyrenaica)
53.5
44.19
-9.31
India (Southern)
46.7
37.6
-9.1
India (Northern – Baniya, Jat Sikhs, Haryana Jats, Khatris, Brahmans, Aroras)
53.26
44.23
-9.03
China (Southern, Hong Knog – Han)
59.17
50.49
-8.68
Pakistan
52.3
44.15
-8.15
Jordan (Non-village Arabs, All Arabs)
53
45.36
-7.64
India (Goa)
46.5
38.93
-7.57
Lebanon
58.2
50.74
-7.46
India (Punjab, England, Dehli – Sikhs, Punjabi)
54.24
47.89
-6.35
Morocco
54.85
49.09
-5.76
Libya (Tripoli)
54.5
48.83
-5.67
PNG (Port Moresby – Hanuabada)
41
35.45
-5.55
India (Bengal – Low Caste, Kayastha, Brahman, Vaidya, Rarhi Brahman)
49.73
44.33
-5.4
Tunisia
56.3
52.03
-4.27
Nepal (Eastern – Jirel, Sunwar, Sherpa, Tamang, Brahman, Chetri)
50.42
46.31
-4.11
Spain (Leon – Meseta, Cabrera, Bierzo, Montana, Maragateria)
64.66
60.8
-3.86
PNG (Mt. Hagan – Western Highlands)
35.35
31.56
-3.79
Turkey
59.15
55.56
-3.59
Spain (Basque – Basque and non-Basques)
65.7
62.38
-3.32
Botswana (Kalahari – Central Bushmen, Yellow Bushmen at Lone Tree, Central San, Yellow Bushmen at Takashwani, Central San, Yellow Bushmen at Ghanzi, Central San)
42.4
39.45
-2.95
South Africa (Namaqualand, Hottentot)
46.8
43.91
-2.89
Libya (Fezzan)
44
41.31
-2.69
South Africa (Warmbath – Hottentot)
43.75
41.14
-2.61
Ethiopia (Highland – Residents of Debarech (3000 m altitude))
33.55
31.35
-2.2
Sudan
35.5
33.45
-2.05
Brazil (Parana – Guarani)
47.2
45.29
-1.91
Germany (Mainz – German and American Whites)
66.9
65.21
-1.69
Netherlands (Dutch (mainly resident in Utrecht))
67.37
65.94
-1.43
Brazil (Caingang Indians)
49.4
48.53
-0.87
Peru (Maranon – Aguarana Indians)
43
42.28
-0.72
South Africa (Cape – Cape Coloureds)
50.96
50.71
-0.25
India (Nagpur – Mahar)
41.3
41.53
0.23
UK (Cumberland)
66.75
66.99
0.24
Average
46.18
46.52
0.34
Mali (Dogon)
34.1
34.54
0.44
PNG (Goroka)
33.3
34.2
0.9
Ethiopia (Residents of Adi-Arkai (1500 m altitude),
31.7
32.7
1
UK (Wales – Isle of Man, Merthyr Tydfil, North Pembrokeshire)
65
66.15
1.15
Ireland (Carnew)
64.5
65.84
1.34
UK (Northern)
66.1
67.49
1.39
Kenya
32.4
34.21
1.81
Ireland (Ballinlough)
65.2
67.11
1.91
PNG
35.3
37.26
1.96
Ireland (Rossmore)
64.75
66.73
1.98
Ireland (Longford)
65
66.99
1.99
Belgium
63.14
65.66
2.52
Japan (Central)
55.42
58.51
3.09
Japan (Southwest)
53.55
56.68
3.13
South African (S. A. Negroes (73% Tswana and Xhosa), Bantu (96% Xhosa))
42.5
45.67
3.17
Tanzania (Sandawe)
28.9
32.13
3.23
UK (London- Europeans)
62.3
65.84
3.54
Namibia (Rehoboth Baster – Black Bushmen at Bagani)
32.9
36.49
3.59
India (Angami Nagas)
44.6
48.85
4.25
Zaire (Congolese except 3 Cameroon females)
33.2
37.46
4.26
Japan (Hidakka – Ainu)
59.1
63.58
4.48
PNG (Karker – Karker Islanders)
32
37.25
5.25
Russia (Chechen)
53.45
59.04
5.59
Burkina Faso (Kurumba from Roanga)
28.6
34.23
5.63
PNG (Lufa – Lufa villagers)
31
36.88
5.88
Japan (Northern)
54.9
61.34
6.44
Tanzania (Nyatura)
25.8
34.12
8.32
Swaziland
35.6
44.62
9.02
India (Orissa, Koraput Town – Bareng Paroja, Bado Gadaba)
32.05
41.52
9.47
Zaire
29.4
39.43
10.03
Chad (Ndila Sara – Madjingay)
24.6
34.77
10.17
Liberia (Mainz – Africans from Ghana and Liberia)
29.4
40.52
11.12
Malawi (Mainly Cewa)
27
38.67
11.67
Nigeria (Yoruba)
27.4
39.62
12.22
Namibia (Kurungkuru Kraal, Tondoro)
25.55
38.29
12.74
Cameroon (Fali Tinguelin)
21.5
34.37
12.87
Nigeria (Ibo)
28.2
41.86
13.66
Greenland (Southern – Eskimo Ammassalimiut)
55.7
70.31
14.61
Namibia (Okavango Bantu, M’bukushu at Bagani, Kuangali)
22.92
38.63
15.71
Australia (Darwin – Aborigines)
19.3
36.24
16.94
Mozambique (Chopi)
19.45
43.84
24.39
Labels: Genetics, Pigmentation





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