29. Tajima_s D, which is a summary statistic for nants between D and non-D chromosomes as We genotyped the diagnostic G37995C SNP in
the frequency spectrum of alleles, is –2.3 for evidenced by recombination tracts (table S2). this panel to infer the frequency of haplogroup D
Past Present future
haplogroup D (whereas it is –1.2 for the
non-D chromosomes). This strongly negative
The remaining 121 copies of haplogroup D
chromosomes show no evidence of recom-
chromosomes (Fig. 3). Geographic variation
was observed, with sub-Saharan populations
Tajima_s D indicates a starlike genealogy for bination. By comparison, the non-D chromo- generally having lower frequencies than others.
haplogroup D chromosomes (47). Thus, both somes do not display any significant LD across The statistic for genetic differentiation, FST, is
summary statistics contrast sharply between D the region. 0.48 between sub-Saharans and others, which
and non-D chromosomes and are consistent To probe the extent of LD beyond the indicates strong differentiation (48) and is sig-
with the recent age and rapid expansion of 29-kb core region, we sequenced the Coriell nificantly higher than the genome average of
Downloaded from www.sciencemag.org on March 6, 2013
haplogroup D. We note that these calculations panel for two segments of about 3 kb each, 0.12 (P G 0.03 based on previously established
do not provide a statistically stringent test of situated at the beginning and end of the gene genomewide FST distribution) (49). Such pop-
positive selection, because they are done on separated from each other by about 235 kb. In ulation differentiation may reflect a Eurasian
MPCH1
subsets of the genealogy. Nevertheless, they do these flanking regions, there is clear evidence origin of haplogroup D, local adaptation, and/or
Evans et al. (2005)
Fig. 3. Global frequencies of Microcephalin haplogroup D chromosomes 62.5%); 24, Brahui (Pakistan, 25, 78%); 25, Kalash (Pakistan, 24, 62.5%); 26,
(defined as having the derived C allele at the G37995C diagnostic SNP) in a Sindhi (Pakistan, 25, 78%); 27, Hezhen (China, 9, 77.8%); 28, Mongola
panel of 1184 individuals. For each population, the country of origin, (China, 10, 100%); 29, Daur (China, 10, 85%); 30, Orogen (China, 10,
number of individuals sampled, and frequency of haplogroup D chro- 100%); 31, Miaozu (China, 9, 77.8%); 32, Yizu (China, 10, 85%); 33, Tujia
mosomes are given (in parentheses) as follows: 1, Southeastern and (China, 10, 75%); 34, Han (China, 41, 82.9%); 35, Xibo (China, 9, 83.3%);
Southwestern Bantu (South Africa, 8, 31.3%); 2, San (Namibia, 7, 7.1%); 36, Uygur (China, 10, 90%); 37, Dai (China, 9, 55.6%); 38, Lahu (China,
3, Mbuti Pygmy (Democratic Republic of Congo, 15, 3.3%); 4, Masai 10, 85%); 39, She (China, 9, 88.9%); 40, Naxi (China, 10, 95%); 41, Tu
(Tanzania, 27, 29.6%); 5, Sandawe (Tanzania, 32, 39.1%); 6, Burunge (Tan- (China, 10, 75%); 42, Cambodian (Cambodia, 11, 72.7%); 43, Japanese
30. Signals of
SELECTION Oleksyk et al. (2010)
Phil. Trans. R. Soc. B (2010)
Table 2. Candidate genes, the tests used to identify selection and GWSSs that found them. (The candidate genes with any evidence of selection found by genom
not applicable.)
chromo- found by scan (same
some gene location author discovered by test(s) population(s) locus)
1 FY 1q21 –q22 Hamblin & Di frequency spectrum, Fay and Wu’s H, FST Africans
Rienzo (2000) population
differentiation
1 AGT 1q42 –q43 Nakajima et al. unusual LD tight LD Africans
(2004)
1 ASPM 1q31 Mekel-Bobrov et al. comparative methods Ka/Ks World
(2005)
2 LCT 2q21 Bersaglieri et al. unusual LD iHs, EHH Europeans, Frazer et al. (2007);
(2004) World Nielsen et al. (2005);
Voight et al. (2006)
2 CAPN10 2q37.3 Fullerton et al. population differences FST Africans versus
(2002) non-African
3 CCR5 3p21.31 Stephens et al. population differences FST and low Europeans Oleksyk et al. (2008)
(1998) heterozygosity
43. Past Present future
That’s 52 million.
http://edition.cnn.com/2012/11/14/opinion/china-challenges-one-child-brooks
44. Past Present future
Asia’s missing women
Figure 1. Childhood sex ratios in eight countries responsible for the largest number of
missing women and girls, compared with the childhood sex ratio for the rest of the world
(dashed line)
Note: Data from CIA World Factbook.
Some diseases alter the probability of a woman giving birth to a boy or girl.
Infection with the protozoan parasite Toxoplasma gondii, for example, can cause sex ratios
Brooks (2012)